Successful implementation through structured approach
Planning and Implementation of Standard Software
The successful implementation of standard software is a complex undertaking that goes far beyond mere technical installation. We support you with a holistic approach and many years of experience to implement your software implementation on time, within budget, and with maximum value creation.
- ✓Structured implementation methodology with proven process models
- ✓Professional project management for on-time and on-budget delivery
- ✓Effective change management for high user acceptance and rapid productivity
- ✓Seamless integration into your existing IT landscape and business processes
Your strategic success starts here
Our clients trust our expertise in digital transformation, compliance, and risk management
30 Minutes • Non-binding • Immediately available
For optimal preparation of your strategy session:
- Your strategic goals and objectives
- Desired business outcomes and ROI
- Steps already taken
Or contact us directly:
Certifications, Partners and more...
Comprehensive Support for Software Implementation
Our Strengths
- Many years of experience in successfully implementing various standard software solutions
- Combined expertise in project management, process optimization, and technical implementation
- Proven methodology with adaptable frameworks for different project sizes and complexities
- Field-tested change management approaches for maximum user acceptance and rapid value creation
⚠
Expert Tip
The most common reasons for software implementation project failures are insufficient change management, unrealistic timelines, and inadequate involvement of specialist departments. Our experience shows that early involvement of all relevant stakeholders, a realistic project plan with sufficient buffer times, and a structured change management concept significantly increase the probability of success. Particularly important is also a clear governance structure with defined decision-making paths and escalation processes to respond quickly to emerging challenges.
ADVISORI in Numbers
11+
Years of Experience
120+
Employees
520+
Projects
Our proven implementation approach provides a structured framework for the successful introduction of your standard software. We flexibly adapt our methodology to your specific needs and framework conditions to ensure efficient and goal-oriented procedures.
Our Approach:
Phase 1: Project Initialization - Detailed planning, definition of goals, governance structure and communication channels, risk management
Phase 2: Analysis and Design - Detailing requirements, process modeling, system architecture, interface design, migration strategy
Phase 3: Configuration and Development - System configuration, customizing, interface development, reporting setup, change management concept
Phase 4: Testing and Quality Assurance - Component tests, integration tests, user tests, performance and load tests, training concept and execution
Phase 5: Go-Live and Stabilization - Cutover planning, data migration, productive commissioning, hypercare support, handover to regular operations
"The success of a software implementation project is not determined solely by the quality of the software, but significantly by the quality of the implementation. A structured approach, realistic planning, and effective change management are decisive success factors. Our experience shows that early involvement of all relevant stakeholders and transparent communication are at least as important as technical expertise."
Asan Stefanski
Head of Digital Transformation
Expertise & Experience:
11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI
Our Services
We offer you tailored solutions for your digital transformation
Implementation Strategy and Project Management
Development of a customized implementation strategy and professional project management for on-time and on-budget implementation. We establish clear structures, responsibilities, and communication channels and ensure that all activities are coordinated and goal-oriented.
- Detailed project planning with milestones, dependencies, and critical path
- Definition of governance structures, roles, and responsibilities
- Proactive risk management with prevention and mitigation strategies
- Transparent reporting and status tracking for all stakeholders
System Configuration and Customization
Customized configuration and adaptation of standard software to your specific requirements and business processes. We find the optimal balance between standard and individualization to optimally adapt the software to your needs without losing the advantages of the standard solution.
- Requirements-based configuration of standard modules and functions
- Development of customer-specific extensions and add-ons
- Implementation of workflows and business rules
- Building reports and dashboards for business intelligence
Data Migration and System Integration
Professional data migration and seamless integration of the new software into your existing IT landscape. We ensure the transfer of relevant data from legacy systems and ensure that the new solution communicates smoothly with other systems.
- Development of a detailed migration strategy and planning
- Data cleansing, transformation, and enrichment
- Design and implementation of interfaces to adjacent systems
- Test transformations and validation of migrated data
Change Management and User Training
Holistic change management and comprehensive user training for high user acceptance and efficient use of the new software. We optimally prepare your employees for the change and ensure that they can effectively use the new system.
- Development of a customized change management strategy
- Stakeholder analysis and target group-specific communication
- Conception and execution of role-based training programs
- Creation of user-specific documentation and support materials
Looking for a complete overview of all our services?
View Complete Service OverviewOur Areas of Expertise in Digital Transformation
Discover our specialized areas of digital transformation
Digital Strategy
Development and implementation of AI-supported strategies for your company's digital transformation to secure sustainable competitive advantages.
▼
Data Management & Data Governance
Establish a robust data foundation as the basis for growth and efficiency through strategic data management and comprehensive data governance.
▼
Digital Maturity
Precisely determine your digital maturity level, identify potential in industry comparison, and derive targeted measures for your successful digital future.
▼
Innovation Management
Foster a sustainable innovation culture and systematically transform ideas into marketable digital products and services for your competitive advantage.
▼
Technology Consulting
Maximize the value of your technology investments through expert consulting in the selection, customization, and seamless implementation of optimal software solutions for your business processes.
▼
Data Analytics
Transform your data into strategic capital: From data preparation through Business Intelligence to Advanced Analytics and innovative data products – for measurable business success.
▼
Process Automation
Increase efficiency and reduce costs through intelligent automation and optimization of your business processes for maximum productivity.
▼
AI & Artificial Intelligence
Leverage the potential of AI safely and in regulatory compliance, from strategy through security to compliance.
▼
Frequently Asked Questions about Planning and Implementation of Standard Software
What are the critical success factors in implementing standard software?
The successful implementation of standard software depends on several critical factors that go beyond technical aspects and significantly influence the overall success of the project.
🎯 Strategic Alignment and Leadership
•
Clear goal definition and alignment with corporate strategy
•
Active sponsorship by top management with visible commitment
•
Realistic expectations regarding benefits and effort
•
Appropriate resource allocation and project prioritization
👥 Stakeholder Management and Change Management
•
Early involvement of all relevant stakeholder groups
•
Systematic needs analysis and requirements management
•
Professional change management to overcome resistance
•
Targeted communication and transparency throughout the project
🔄 Project Management and Methodology
•
Structured implementation methodology with clear phases and milestones
•
Realistic project planning with appropriate buffer times
•
Effective risk management with preventive and reactive measures
•
Stringent quality assurance in all project phases
⚙ ️ Technical Implementation and Integration
•
Thorough analysis of as-is processes and careful process adaptation
•
Balanced balance between standard use and necessary customizing
•
Professional data migration with quality assurance
•
Seamless integration into the existing IT landscapeParticularly important is the right balance between the following dimensions:
•
Standard orientation vs. individualization: Too much customization jeopardizes the advantages of the standard solution, while insufficient adaptation can lead to lack of acceptance
•
Technical focus vs. business focus: The project must be understood primarily as business transformation and not as an IT project
•
Project speed vs. thoroughness: Too ambitious a timeline can lead to quality problems, while excessively long project durations cause fatigue
•
Process transformation vs. system implementation: Implementation should be used as an opportunity for process optimization, not just as a technical system changeOur experience shows that project success depends approximately 20% on technical implementation and 80% on organizational aspects such as change management, project control, and stakeholder involvement.
Which implementation methodology is best suited for standard software?
The choice of the right implementation methodology is crucial for project success. Different approaches offer different advantages and disadvantages that must be weighed depending on the project context and organizational requirements.
🔄 Classic Waterfall Model
•
Sequential approach with clearly defined, consecutive phases
•
Comprehensive requirements analysis and detailed planning before implementation
•
Clear structuring with defined milestones and quality gates
•
Particularly suitable for stable requirements and clearly defined processes
🔁 Agile Approach
•
Iterative and incremental development with short feedback cycles
•
Flexible adaptation to changing requirements and priorities
•
Early delivery of functional partial solutions with rapid value contribution
•
Well suited for complex projects with high uncertainty or degree of innovation
🧩 Hybrid Methodology
•
Combination of elements from waterfall and agile approaches
•
Structured framework planning with agile implementation in defined areas
•
Balance between planning certainty and flexibility
•
In practice, often most successful for standard software implementations
🔨 Accelerated Implementation (Rapid Implementation)
•
Use of pre-configured industry solutions and best practices
•
Focus on standard processes with minimal customization
•
Shortened project duration through standardized procedures
•
Suitable for companies that can or want to adopt standard processesFor selecting the appropriate methodology, the following factors should be considered:
•
Degree of complexity: The more complex the requirements, the more flexibility is needed
•
Organizational maturity: The methodology must fit the culture and maturity of the organization
•
Scope of change: Greater transformations require more emphasis on change management
•
Time and budget constraints: These can include or exclude certain approachesIn practice, a hybrid approach has often proven optimal for standard software implementations:1. Structured project initialization with clear goal definition and rough planning (Waterfall)2. Process design with defined end-to-end processes as framework (Waterfall)3. Iterative configuration and customization in sprints with regular feedback (Agile)4. Parallel advancement of different workstreams with synchronized integration points (Hybrid)5. Structured testing, training, and go-live preparation (Waterfall)Regardless of the chosen methodology, it is crucial that it is consistently applied, understood by all participants, and adapted to specific project requirements when necessary.
How can effective change management be designed for software implementations?
Change management is a critical success factor in software implementations, as even the best technical solution will fail if the affected people do not support the change. A systematic approach helps overcome resistance and achieve high acceptance.
🧠 Awareness Building and Understanding
•
Early communication of the reasons, goals, and benefits of the change
•
Creating a common understanding of the necessity for change
•
Transparent presentation of impacts on organization, processes, and roles
•
Active addressing of concerns and fears
👥 Stakeholder Management and Communication
•
Systematic stakeholder analysis and development of target group-specific strategies
•
Identification and involvement of change agents and key users as multipliers
•
Consistent, regular communication across various channels and formats
•
Bidirectional communication with feedback opportunities for those affected
🛠 ️ Enablement and Training
•
Comprehensive analysis of qualification requirements and skill gaps
•
Development of a holistic training concept with various formats
•
Target group-appropriate training measures with practical content
•
Provision of accompanying documentation and support structures
📊 Implementation Support and Sustainability
•
Active support during the transition phase through coaches and super users
•
Monitoring of application and proactive addressing of difficulties
•
Systematic measurement of acceptance and use of the new solution
•
Continuous optimization and improvement after go-liveA successful change management approach is characterized by the following features:
•
Integrated component: Change management not as a separate work package, but as an integral component of all project phases
•
Top-down support: Visible commitment and active role model function of management
•
Individual adaptation: Consideration of specific corporate culture and organizational maturity
•
Positive design: Focus on opportunities and improvements rather than pure problem avoidanceFor practical implementation of change management, the following instruments are recommended:1. Change Impact Assessment: Systematic analysis of the change impacts on different stakeholder groups2. Change Readiness Assessments: Regular surveys on readiness and ability to change3. Communication Plan: Detailed planning of communication measures by time, target group, and medium4. Training Roadmap: Coordinated plan of all qualification measures in the project timelineInvestment in professional change management pays off many times over: Studies show that projects with effective change management have a
6 times higher probability of achieving their goals and can reduce the average productivity gap after go-live by 60%.
How should data migration be planned when implementing standard software?
Data migration is a critical success factor in software implementations that is often underestimated in its complexity. Structured planning and methodical procedures are crucial to avoid data loss, quality problems, and project delays.
📋 Strategy and Process Model
•
Early development of a comprehensive migration strategy as an integral project component
•
Definition of the basic migration approach (Big Bang vs. phased migration)
•
Definition of migration type per data area (complete, partial, master data only, etc.)
•
Determination of cutover strategy and transition model between old and new system
🔍 Analysis and Preparation
•
Detailed inventory of all data to be migrated and their structures
•
Assessment of data quality in the source system and definition of cleansing requirements
•
Development of mappings between source and target structures for all data types
•
Definition of transformation rules and business logic for data conversion
🧪 Development and Testing
•
Creation of extraction and transformation processes for all data types
•
Development of automated validation routines and quality checks
•
Execution of multiple test migrations with gradual expansion of data scope
•
Systematic validation of migrated data according to defined quality criteria
🚀 Productive Migration and Post-Processing
•
Detailed planning of migration cutover with clear timeline and responsibilities
•
Execution of productive migration with close monitoring
•
Final validation and quality assurance before production launch
•
Post-processing processes for identified problems and special casesFor successful data migration, the following best practices should be observed:
•
Early prioritization: Consideration of data migration as critical path from the beginning, not as a downstream activity
•
Iterative approach: Multiple test migrations with increasing scope and complexity
•
Business involvement: Close involvement of specialist departments in defining mappings and validation rules
•
Data cleansing: Use of migration as an opportunity for data quality improvementWhen planning a data migration, these typical challenges should be anticipated:1. Inconsistent source data: Development of cleansing and harmonization rules2. Complex transformations: Early identification of complex mapping scenarios3. Performance bottlenecks: Consideration of time requirements for large data volumes4. Dependencies between data entities: Careful planning of migration sequenceA professionally executed data migration is a crucial building block for the success of the overall project and later user acceptance. Investment in thorough planning and methodical execution pays off many times over through avoided problems and higher data quality in the target system.
How should effective testing be organized in software implementation projects?
Systematic and comprehensive testing is a central success factor for software implementation projects. It ensures that the implemented solution works functionally correctly, meets business requirements, and offers good performance and user-friendliness.
📋 Test Strategy and Planning
•
Development of a comprehensive test strategy at project start
•
Definition of different test types and phases (component, integration, system, acceptance test)
•
Definition of test scope, depth, and prioritization of critical functionalities
•
Planning of test environments, data, and required resources
👥 Organization and Roles
•
Establishment of a clear test organization with defined roles and responsibilities
•
Involvement of subject matter experts for functional validation and acceptance tests
•
Participation of technical experts for specialized test types (performance, security, etc.)
•
Provision of sufficient resources and qualification of the test team
🛠 ️ Methods and Tools
•
Systematic derivation of test cases from requirements and process models
•
Development of representative test scenarios with end-to-end processes
•
Use of test tools for test management, execution, and documentation
•
Automation of repetitive tests for regression and continuous integration
🔍 Execution and Defect Management
•
Structured test execution according to defined test plan and process
•
Systematic documentation of test results and identified defects
•
Prioritization and tracking of defects (defect management)
•
Retesting after defect resolution and regression testing for changesAn effective test concept should include the following test types:
•
Component tests: Testing individual modules and functions for correct functionality
•
Integration tests: Verification of correct interaction of different components
•
System tests: Validation of the overall system against defined requirements
•
Performance and load tests: Testing performance under normal and high load
•
Security tests: Checking for security vulnerabilities and compliance with security requirements
•
User acceptance tests (UAT): Validation by end users under realistic conditionsFor high test quality and efficiency, the following best practices have proven successful:1. Early test planning: Integration of test activities from project start2. Risk-based testing: Focus on critical and complex functionalities3. Test automation: Use for recurring tests, especially regression tests4. Realistic test data: Use of representative data for meaningful testsProfessionally executed testing not only reduces the risk of errors after go-live but also contributes significantly to quality assurance during implementation. It enables early feedback and helps identify problems before they lead to costly changes in later project phases.
How do you find the right balance between standard use and customizing?
The balance between standard use and customizing is a central challenge in implementing standard software. The right decision depends on various factors and has far-reaching effects on costs, maintainability, and future viability of the solution.
⚖ ️ Fundamental Considerations
•
Standard use offers lower costs, better upgradability, and proven processes
•
Customizing enables better adaptation to specific requirements and business processes
•
Excessive customizing leads to higher costs, upgrade difficulties, and maintenance problems
•
Too rigid standard use can lead to inefficient processes and lack of user acceptance
🔍 Systematic Decision-Making
•
Categorization of requirements by business criticality and differentiation potential
•
Assessment of standard coverage for each requirement category
•
Cost-benefit analysis for potential customizations
•
Consideration of long-term aspects such as upgrades, maintenance, and extensibility
🧩 Customization Options and Their Implications
•
Configuration: Settings and parameters within standard possibilities (lowest impact)
•
Extensions: Adding new functions without changing standard code (moderate impact)
•
Modifications: Changes to standard code or its behavior (highest impact)
•
Additions: Development of separate applications that interact with standard software (variable impact)
🛠 ️ Best Practices for Decision-Making
•
Process-first approach: Analysis and possible optimization of business processes before customization decisions
•
Evaluation of alternatives: Review of different solution options for each requirement
•
Standardization of customizations: Development of uniform customization patterns and guidelines
•
Documentation of decisions: Traceable justification and documentation of all customization decisionsThe following factors should be considered in decision-making:
•
Strategic importance: Processes with high strategic relevance or differentiation potential justify customizations more
•
Organizational maturity: The organization's ability to adapt to new processes vs. the need to maintain existing processes
•
Industry specifics: Certain industry-specific requirements may necessitate customizations
•
Upgrade strategy: The planned frequency of upgrades influences the costs and risks of customizationsA successful balance requires a structured decision process with clear criteria and governance structures. Decisions should not be made in isolation but in the context of the overall strategy, with a view to long-term impacts on costs, maintainability, and business agility.
What role does project management play in software implementation?
Professional project management is a central success factor in implementing standard software. It ensures that the project is conducted in a structured, goal-oriented, and efficient manner and that all critical aspects are appropriately considered.
📋 Planning and Structuring
•
Development of detailed project planning with phases, work packages, and milestones
•
Identification and management of dependencies between subtasks
•
Resource and capacity planning for internal and external project participants
•
Definition of realistic timelines with appropriate buffer times
👥 Governance and Organization
•
Establishment of clear project structures with defined roles and responsibilities
•
Building effective decision processes and escalation paths
•
Ensuring appropriate involvement of all relevant stakeholders
•
Management of external partners and service providers in the project context
🔄 Control and Monitoring
•
Continuous monitoring of project progress and early identification of deviations
•
Effective risk and issue management for prevention and resolution of problems
•
Quality assurance and control of project results
•
Systematic change request management for changes to project scope
📢 Communication and Reporting
•
Development and implementation of a structured communication concept
•
Regular status reporting to project participants and decision-makers
•
Transparent communication about challenges, risks, and decisions
•
Ensuring efficient information flow between all participantsFor successful project management in software implementations, the following best practices have proven effective:
•
Appropriate methodology: Choice of suitable project management methodology (classic, agile, or hybrid) depending on project scope, complexity, and organizational culture
•
Early planning: Detailed project planning at the beginning with clear goals, scope, budget, and timeline
•
Integrated management: Holistic consideration of all project dimensions (scope, time, costs, quality, resources, risks, etc.)
•
Stakeholder focus: Active management of expectations and needs of all stakeholdersSpecial challenges in project management for software implementations are:1. Scope creep: Continuous expansion of project scope through new requirements2. Resource conflicts: Competition between project and line tasks for internal resources3. Communication complexity: Coordination between different specialist departments, IT, and external partners4. Technical uncertainties: Unforeseen technical challenges and limitationsSuccessful project management in software implementations requires a combination of methodological competence, technical understanding, leadership skills, and experience with comparable projects. It is an essential success factor that goes beyond purely technical implementation and significantly contributes to the overall success of the initiative.
How should user training and enablement be designed?
Effective training and enablement of users is crucial for the successful introduction of standard software. Even the best technical implementation will fail if users are not able to use the new software efficiently.
📋 Training Conception and Planning
•
Development of a comprehensive training strategy as an integral part of the implementation project
•
Analysis of target groups and their specific learning needs and prior knowledge
•
Definition of training objectives and success metrics for each target group
•
Selection of suitable training formats and methods for different content and target groups
🎓 Training Formats and Materials
•
Development of a mix of different training formats (classroom training, webinars, e-learning, etc.)
•
Creation of high-quality, target group-appropriate training materials and documentation
•
Building a knowledge database for continuous self-learning and reference
•
Development of practical exercises and scenarios for different use cases
👥 Execution and Multiplier Approach
•
Training of key users as multipliers and first point of contact for colleagues
•
Timing of training with the implementation process and go-live
•
Consideration of different learning speeds and individual support needs
•
Combination of theoretical knowledge transfer and practical exercises
🔄 Sustainability and Continuous Improvement
•
Establishment of support structures for the time after go-live (e.g., helpdesk, super users)
•
Follow-up and refresher training for deepening and new functionalities
•
Collection of feedback and continuous optimization of training content
•
Measurement of training success and identification of further training needsFor successful user training, the following best practices have proven effective:
•
Process orientation: Training based on real business processes rather than isolated functionalities
•
Target group-specific content: Adaptation of training content to the specific tasks and roles of participants
•
Blended learning: Combination of different learning formats for optimal learning outcomes
•
Practical relevance: Use of realistic data and scenarios from the daily work environmentWhen planning the training concept, the following factors should be considered:1. Training infrastructure: Availability of suitable facilities, hardware, and training systems2. Time planning: Sufficient time between training and productive use3. Resource availability: Ensuring sufficient release of participants from daily tasks4. Cultural factors: Consideration of different learning types and organizational peculiaritiesInvestments in a professional training and enablement concept pay off many times over: They reduce onboarding times, minimize frustration and errors, increase productivity and acceptance, and ultimately maximize the return on investment of the software implementation.
How do you design the go-live process as smoothly as possible?
Go-live is the most critical phase of a software implementation – the moment when the new solution is put into production and actually comes into use. Careful planning and execution is crucial to ensure a smooth transition and minimize business disruptions.
📋 Preparation and Planning
•
Development of a detailed go-live strategy and cutover plan
•
Definition of the optimal go-live timing considering business cycles
•
Definition of clear go/no-go criteria and decision processes
•
Preparation of fallback scenarios and contingency plans for critical situations
🔄 Cutover Management
•
Creation of a minute-by-minute cutover checklist with all activities, responsibilities, and timelines
•
Execution of final data migrations and system configurations
•
Coordination of all involved teams (specialist departments, IT, external partners)
•
Staggered activation of functionalities and user groups depending on chosen strategy
👥 Support and Stabilization
•
Establishment of a hypercare support model for the first phase after go-live
•
Provision of sufficient resources for rapid problem resolution
•
Active monitoring of system performance and user feedback
•
Quick escalation and resolution of occurring problems
📊 Transition to Regular Operations
•
Gradual handover from project to line operations
•
Establishment of sustainable support and governance structures
•
Collection of lessons learned and optimization potentials
•
Planning of further optimizations and next development stepsFor a successful go-live, the following go-live strategies have proven effective:
•
Big Bang: Complete switch to the new system at a defined time (high efficiency but higher risk)
•
Phased introduction: Gradual activation by functional areas or organizational units (lower risk but longer transition phase)
•
Parallel operation: Temporary operation of old and new systems side by side (very safe but resource-intensive)
•
Piloting: Initial operation with a limited user group before full rollout (good compromise of risk minimization and efficiency)The following critical success factors should be particularly observed:1. Realistic time planning: Sufficient time buffers for unforeseen problems2. Clear decision paths: Defined escalation processes and responsibilities3. Comprehensive communication: Transparent information of all affected parties about timeline, impacts, and contact persons4. Readiness planning: Ensuring availability of all critical resources during the go-live periodA professionally planned and executed go-live process minimizes business disruptions, reduces stress for all involved, and creates the foundation for a rapid stabilization phase. Investment in thorough preparation pays off through a smoother transition and higher user acceptance many times over.
What typical risks can occur in software implementation projects and how can they be minimized?
Software implementation projects are associated with diverse risks that can jeopardize project success. Proactive risk management identifies potential risks early and develops effective strategies for their minimization.
⏱ ️ Time and Schedule Risks
•
Unrealistic time planning and overly ambitious schedules
•
Insufficient consideration of dependencies in planning
•
Delays due to inadequate resource availability
•
Prevention measures: Realistic planning with buffer times, regular progress monitoring, critical path analysis
💰 Budget and Cost Risks
•
Underestimation of total effort, especially for customizing
•
Unforeseen technical challenges with cost implications
•
Scope creep through continuous requirement expansions
•
Prevention measures: Detailed cost estimation, change management, regular cost reporting
🎯 Quality and Functional Risks
•
Insufficient or misunderstood requirements
•
Deficiencies in configuration, development, or data migration
•
Performance or stability problems in productive operation
•
Prevention measures: Comprehensive testing, clear requirement definition, early prototypes
👥 Organizational and Acceptance Risks
•
Resistance or lack of support from key stakeholders
•
Insufficient resource allocation and capacities
•
Cultural barriers against changes
•
Prevention measures: Stakeholder management, change management, effective communicationFor effective risk management, the following best practices have proven successful:
•
Early risk identification: Systematic analysis of potential risks at project start and continuous updating during project course
•
Risk assessment: Estimation of probability of occurrence and potential impact of each risk
•
Preventive measures: Development and implementation of strategies for risk minimization in high-risk areas
•
Continuous monitoring: Regular review of risk situation and effectiveness of countermeasuresThe following specific risk areas deserve special attention:1. Data migration: Often underestimated complexity, data quality problems, and technical challenges2. Integration: Technical difficulties in connecting other systems and interfaces3. Performance: Performance problems under real load conditions that were not detected in test environments4. Skill gaps: Missing know-how in the project team for specific requirements or technologiesThrough proactive risk management, many typical problems can be avoided or at least mitigated in their effects. This significantly increases the probability of project success and contributes to a controlled, predictable implementation.
How should system integration be designed when implementing standard software?
The integration of new standard software into the existing IT landscape is a complex challenge that requires careful planning and implementation. A well-thought-out integration strategy is crucial for smooth data exchange and seamless collaboration of all systems.
🏗 ️ Integration Architecture and Strategy
•
Development of a holistic integration architecture in line with IT strategy
•
Definition of the basic integration approach (point-to-point, ESB, API management, etc.)
•
Prioritization of integration scenarios by business relevance and technical complexity
•
Decision between real-time and batch integration for different use cases
🔍 Analysis and Design
•
Detailed inventory of all systems to be integrated and their interfaces
•
Definition of data flows, transformation rules, and mappings
•
Definition of technical integration standards and protocols
•
Consideration of non-functional requirements such as performance, scalability, and security
🧩 Implementation and Validation
•
Development and configuration of required interfaces and integration components
•
Implementation of necessary transformations and business logic
•
Comprehensive testing of integration scenarios with end-to-end validation
•
Implementation of appropriate monitoring and error handling mechanisms
🔄 Operations and Governance
•
Establishment of clear responsibilities for operating the integration platform
•
Setup of monitoring and alerting mechanisms for integration processes
•
Building integration governance with defined standards and processes
•
Planning of further development and lifecycle management of the integration landscapeFor successful system integration, the following best practices have proven effective:
•
Standardization: Use of established integration standards and patterns for sustainable architecture
•
Modularity: Development of reusable integration components for similar scenarios
•
Transparency: Implementation of comprehensive logging and monitoring functionalities for traceability
•
Robustness: Integration of error handling and recovery mechanisms for high availabilityDuring implementation, you should watch out for the following typical challenges:1. Heterogeneous technology landscape: Integration of legacy systems with modern applications2. Data quality problems: Inconsistencies and format differences between systems3. Performance bottlenecks: Especially with real-time integrations and high data volumes4. Governance complexity: Clear responsibilities and standards with many involved systemsA strategically planned and methodically implemented system integration is an essential success factor for the overall implementation. It enables seamless collaboration of all systems and creates the foundation for continuous, efficient business processes across system boundaries.
What significance does process optimization have in implementing standard software?
The implementation of standard software offers an ideal opportunity for optimizing business processes. A process-oriented approach that goes beyond purely technical implementation maximizes business value and effectiveness of the new solution.
🔄 Process Analysis and Assessment
•
Systematic capture and documentation of existing processes (as-is analysis)
•
Identification of inefficiencies, media breaks, and optimization potentials
•
Benchmarking against best practices and standard processes of the software
•
Assessment of processes regarding efficiency, quality, risks, and compliance
🎯 Process Design and Optimization
•
Development of optimized target processes considering software capabilities
•
Weighing between process adaptation and software adaptation
•
Elimination of non-value-adding activities and simplification of complex workflows
•
Standardization and harmonization of similar processes across departmental boundaries
🛠 ️ Implementation and Anchoring
•
Translation of optimized processes into concrete system configurations
•
Adaptation of roles, responsibilities, and organizational structures
•
Development of process-oriented training concepts and work instructions
•
Establishment of process governance and continuous improvement
📊 Measurement and Continuous Improvement
•
Definition of KPIs for measuring process performance
•
Implementation of monitoring mechanisms for process performance
•
Regular review and optimization of implemented processes
•
Collection and implementation of improvement suggestions from daily applicationWhen optimizing processes in the context of software implementations, the following basic principles should be observed:
•
End-to-end consideration: Optimization of complete processes across departmental and system boundaries
•
Value orientation: Focus on activities that create direct added value for customers or the company
•
Standardization: Use of standard and best practice processes where sensible and possible
•
Change management: Early involvement of process participants in redesignTypical challenges and their solution approaches include:1. Resistance to process changes: Early involvement, demonstration of benefits, change management2. Tension between standard and individuality: Clear decision criteria for deviations from standard3. Process knowledge mainly implicit: Structured workshops for knowledge extraction4. Missing process culture: Building process awareness and responsibility parallel to implementationProcess optimization should not be understood as a one-time project but as a continuous improvement process that begins with software implementation but continues beyond it. A process-oriented approach maximizes the ROI of the software investment and creates sustainable competitive advantages through more efficient and effective business processes.
How is a software implementation optimally supported after go-live?
The phase after go-live is crucial for the long-term value creation of a software implementation. A structured transition and operational phase ensures system stabilization, consolidation of new processes, and continuous optimization of the solution.
🛠 ️ Hypercare and Stabilization
•
Establishment of a hypercare team with extended support hours and fast response times
•
Proactive monitoring of system performance, errors, and user activities
•
Prioritized resolution of occurring problems and implementation of workarounds
•
Regular status updates and communication with all stakeholders
👥 User Support and Knowledge Transfer
•
Provision of floor walkers and super users for direct user support
•
Building a knowledge database with frequently asked questions, instructions, and best practices
•
Execution of follow-up and refresher training based on identified needs
•
Continuous collection and addressing of user feedback
🔄 Transition to Regular Operations
•
Defined transition from project to line operations with clear responsibilities
•
Establishment of sustainable support structures and service level agreements
•
Building a governance structure for future changes and further developments
•
Knowledge transfer from project team to permanent caretakers and administrators
📈 Continuous Improvement and Further Development
•
Regular review of goal achievement and value realization
•
Identification and prioritization of optimization potentials
•
Planning and implementation of improvements and extensions
•
Preparation for future upgrades and release changesFor a successful transition to regular operations, the following success factors have proven effective:
•
Clear handover criteria: Definition of when the hypercare phase ends and regular operations begin
•
Documented processes: Comprehensive operational documentation for all operationally relevant aspects
•
Competence building: Ensuring sufficient competencies in the internal team for permanent operations
•
Governance structures: Establishment of clear decision processes for changes and further developmentsAspects to consider when building permanent operational structures:1. Support organization: Multi-level support model with clear escalation paths2. Release and change management: Processes for controlled introduction of changes3. Operations monitoring: Proactive monitoring of all critical system components4. Continuous improvement: Establishment of a culture of continuous improvementThe post-go-live phase should not be understood as project completion but as the beginning of a continuous optimization journey. A structured transition phase and well-established regular operations secure the long-term value creation of the software investment and create the foundation for sustainable use and further development of the solution.
What organizational prerequisites are important for successful software implementation?
The successful implementation of standard software requires not only technical expertise but also suitable organizational framework conditions. The right structures, resources, and cultural factors form the foundation for successful implementation.
🏢 Organizational Structures and Governance
•
Clear project organization with defined roles, responsibilities, and decision paths
•
Active sponsorship by top management with corresponding prioritization
•
Established governance structures for decision-making and escalation paths
•
Appropriate involvement of all relevant specialist departments and IT organization
👥 Resources and Capacities
•
Sufficient release of qualified employees for project tasks
•
Balance between internal know-how building and external support
•
Ensuring availability of key persons in critical project phases
•
Consideration of capacity bottlenecks in project planning
🧠 Competencies and Capabilities
•
Availability or building of necessary specialist and technical competencies
•
Combination of process knowledge, software knowledge, and implementation experience
•
Change management expertise for accompanying organizational change
•
Project management capabilities for structured control of the initiative
🌱 Culture and Readiness for Change
•
Open communication culture and willingness for constructive cooperation
•
Readiness for change and acceptance of new processes and working methods
•
Willingness to learn and openness to new technologies and methods
•
Error culture that promotes experimentation and continuous improvementFor creating ideal organizational prerequisites, the following aspects should be considered:
•
Early preparation: Organizational framework conditions should be created before project start
•
Stakeholder alignment: Common understanding of goals, procedures, and expectations among all involved
•
Clear mandates: Unambiguous powers and decision-making competencies for project participants
•
Resource commitment: Binding commitments to availability of required resourcesTypical organizational challenges and their solution approaches include:1. Resource conflicts between project and daily business: Clear prioritization and temporary relief2. Silo thinking and departmental boundaries: Cross-departmental teams and common goals3. Lack of management commitment: Active involvement and regular status reports4. Unclear decision paths: Establishment of a transparent decision matrixCreating conducive organizational framework conditions is a leadership task that cannot be delegated. Management must pave the way for successful implementation through clear prioritization, resource provision, and personal commitment and create the necessary structural and cultural prerequisites.
What advantages does using implementation partners offer for software projects?
Collaboration with specialized implementation partners can significantly influence the success of software projects. External expertise complements internal capabilities and brings valuable experience from comparable projects.
💡 Expertise and Experience
•
Access to specialized know-how and best practices from numerous similar projects
•
In-depth product knowledge and experience with specific software solutions
•
Methodological competence in implementation approaches and change management
•
Industry experience and knowledge of typical challenges and solution approaches
⚡ Efficiency and Risk Minimization
•
Acceleration of the implementation process through proven methodology and tools
•
Avoidance of typical mistakes and pitfalls through experience from comparable projects
•
Reduction of project risks through professional implementation management
•
Optimized resource utilization through targeted support in specialized areas
🔄 Knowledge Transfer and Competence Building
•
Building internal competencies through structured knowledge transfer
•
Training and coaching of internal employees during implementation
•
Sustainable know-how building for later independent operation
•
Access to best practices and continuous further development
🌉 Interface to Software Manufacturer
•
Established relationships with software manufacturers and their support organizations
•
Better access to product information and roadmap developments
•
More efficient escalation and problem resolution for product issues
•
Influence on product development and future releasesWhen selecting and collaborating with implementation partners, the following aspects should be considered:
•
Partner selection: Not only technical expertise but also cultural fit and collaboration model
•
Clear role distribution: Unambiguous definition of responsibilities between internal team and partner
•
Knowledge transfer: Explicit agreements to ensure sustainable know-how building
•
Governance: Joint control structures for effective collaborationSuccessful collaboration models with implementation partners include:1. Complete implementation: Partner assumes main responsibility for overall implementation2. Coaching approach: Partner accompanies and supports an internal team that does the main work3. Hybrid model: Partnership with clear task division based on competencies and capacities4. Specialist support: Targeted involvement of experts for specific sub-areasCollaboration with experienced implementation partners can significantly increase the success probability of software projects and reduce risks. The key lies in careful partner selection, a clear collaboration model, and an effective governance structure that enables productive partnership.
How can the ROI of a standard software implementation be measured?
Measuring the return on investment (ROI) of a standard software implementation is crucial to demonstrate the business value of the investment and support future decisions. A structured approach to ROI measurement includes both quantitative and qualitative aspects.
💰 Monetary Benefit Aspects
•
Direct cost savings (e.g., personnel costs, maintenance costs, license costs)
•
Productivity increases through more efficient processes and reduced processing times
•
Avoidance of future costs (e.g., through higher automation or reduced support needs)
•
Revenue increases through improved business processes or new business opportunities
⏱ ️ Time Horizon and Measurement Points
•
Definition of an appropriate observation period for ROI calculation (typically 3‑5 years)
•
Definition of measurement points for short-, medium-, and long-term effects
•
Consideration of ramp-up times until full effectiveness of the solution
•
Continuous review of benefit realization over the entire lifecycle
📊 Metrics and Indicators
•
Definition of specific KPIs for different benefit dimensions
•
Establishment of a baseline for all metrics before implementation
•
Regular and consistent measurement after implementation
•
Focus on a manageable number of meaningful indicators
🔍 Qualitative Assessment
•
Improvement of data quality and information availability
•
Increase in user acceptance and satisfaction
•
Enhancement of organizational agility and adaptability
•
Improvement of compliance and risk managementFor meaningful ROI measurement, the following methodological approaches have proven effective:
•
Benefits management: Systematic identification, planning, and realization of benefit potentials
•
Balanced scorecard: Balanced consideration of different benefit dimensions (financial, customer, processes, innovation)
•
Total economic impact: Holistic consideration of costs, benefits, flexibility, and risks
•
Value engineering: Continuous optimization of value contribution over the entire lifecycleWhen measuring ROI, the following success factors should be considered:1. Realistic baseline: Careful capture of the initial situation before implementation2. Attributability: Clear delineation of effects that are actually attributable to software implementation3. Continuity: Long-term consideration over the entire usage period4. Transparency: Open communication of methodology, assumptions, and resultsA differentiated ROI consideration not only helps demonstrate the value contribution of software implementation but also identifies areas with further optimization potentials and provides valuable insights for future projects.
What contractual aspects are particularly important in standard software implementations?
The contractual design of standard software implementation projects is an essential success factor that is often underestimated. Careful contract design creates clarity, reduces risks, and forms the basis for successful collaboration of all parties involved.
📄 Contract Types and Structures
•
Software license or subscription contracts for actual software use
•
Implementation and service contracts for introduction
•
Maintenance and support contracts for ongoing operations
•
Cloud service contracts for SaaS or hosted solutions
🎯 Service Description and Acceptance Processes
•
Precise definition of service scope and implementation phases
•
Clear specification of customizations and extensions
•
Definition of objective and measurable acceptance criteria
•
Definition of a transparent acceptance process with clear timelines
⚖ ️ Warranties, Liability, and Guarantee
•
Appropriate warranties regarding functionality and performance
•
Clear regulations for error correction and response times
•
Graduated liability regulations for different damage scenarios
•
Specific regulations for data security and data protection
💼 Project-Specific Regulations
•
Flexible change request processes for changes to project scope
•
Clear cooperation obligations for all project participants
•
Escalation and conflict resolution mechanisms
•
Regulations for project termination or early terminationWhen designing contracts, the following best practices should be observed:
•
Early involvement: Contractual aspects should be considered already in the planning phase
•
Balance: Balance between appropriate safeguarding and practical feasibility
•
Appropriateness: Contract scope and complexity should correspond to project scope and risk
•
Future orientation: Consideration of future requirements such as extensions and upgradesThe following typical problem areas deserve special attention:1. Unclear service descriptions: Exact definition of what is to be delivered and implemented2. Lack of flexibility: Provisions for changes and adjustments during implementation3. Insufficient SLAs: Clear service level agreements for support and maintenance4. Exit strategies: Regulations for orderly exit and data migration to other systemsCareful and balanced contract design protects the interests of all parties and creates a solid foundation for trustful collaboration. Investment in professional contract design pays off many times over through reduced risks, clear expectations, and higher project success probability.
How does the implementation of cloud/SaaS solutions differ from on-premise software?
The implementation of cloud or SaaS solutions differs in several essential aspects from traditional on-premise implementations. These differences affect both technical and organizational and procedural dimensions and require an adapted approach.
☁ ️ Technical Aspects and Infrastructure
•
Elimination or significant reduction of local infrastructure requirements
•
Focus on network connection, bandwidth, and latency instead of local server capacities
•
Integration with existing systems via standardized APIs instead of direct database access
•
Increased requirements for security concepts for external data access
⏱ ️ Temporal Aspects and Process Model
•
Typically shorter implementation cycles through pre-configured environments
•
Faster initial deployment with stronger focus on continuous optimization
•
More frequent updates and releases that cannot be controlled independently
•
More strongly iterative and incremental approach with early value creation
🔄 Adaptability and Configuration
•
More limited possibilities for deep customizing and individual development
•
Stronger focus on configuration and parameterization within standard possibilities
•
Adaptation of organization to software standards rather than vice versa
•
Increased importance of selecting the right solution with low customization needs
👥 Organizational Aspects and Competence Requirements
•
Changed role distribution between internal IT teams and solution providers
•
Lower need for technical infrastructure know-how, more focus on process and application knowledge
•
Stronger dependence on provider for operations and technical further development
•
New governance requirements for managing external servicesFor successful cloud/SaaS implementation, the following specific success factors should be considered:
•
Network and security architecture: Early planning of secure and performant connection
•
Integration architecture: Conception of a robust integration strategy with existing systems
•
Data governance: Clear regulations for data storage, access, and security in the cloud
•
Competence building: Development of necessary capabilities for managing cloud servicesWhen deciding between on-premise and cloud, the following aspects should be weighed:1. Strategic alignment: Consistency with IT strategy and digitalization strategy2. Flexibility and scalability requirements: Dynamically growing or fluctuating requirements3. Regulatory and compliance requirements: Industry-specific requirements for data storage4. Total cost of ownership: Total cost consideration over the complete lifecycleThe implementation of cloud/SaaS solutions requires an adapted mindset and process model but offers significant advantages over traditional on-premise solutions through shorter time-to-value, lower initial investments, and higher flexibility.
What significance does user experience (UX) have in implementing standard software?
User-friendliness and user experience (UX) are critical success factors in implementing standard software. A well-thought-out UX strategy increases user acceptance, reduces training efforts, and maximizes productivity and business value of the implemented solution.
🎯 Strategic Importance of User-Friendliness
•
Direct influence on user acceptance and adoption speed of new software
•
Impact on productivity, error rate, and user satisfaction
•
Reduction of training and support efforts through intuitive operation
•
Optimization of process efficiency through user-friendly workflows
👥 User-Centricity in Implementation Process
•
Early involvement of end users in requirements analysis and conception
•
Use of personas and user journeys to visualize user types and scenarios
•
Iterative prototypes and usability tests to validate design decisions
•
Continuous feedback from users throughout the implementation
🛠 ️ UX Optimization Within Standard Software
•
Adaptation of layouts, workflows, and navigation elements to user requirements
•
Development of intuitive and efficient user interfaces for frequently used functions
•
Implementation of supporting elements such as input aids and context-sensitive help
•
Prioritization of UX customizations by frequency and business value of usage scenarios
📊 Measurement and Continuous Improvement
•
Definition of UX-related KPIs and success indicators
•
Systematic collection of user feedback after implementation
•
Usability tests and observation of actual use in productive operations
•
Continuous optimization based on data and feedbackFor a successful UX strategy, the following best practices have proven effective:
•
User-centered design: Consistent alignment of all decisions with the needs of end users
•
Prioritization: Focus on the most frequently used functions and critical business processes
•
Consistency: Uniform design principles across all areas of the application
•
Support: Provision of appropriate help and support functions for different user groupsWhen optimizing UX, the following specific aspects should be considered:1. Role-specific customizations: Optimization of user interfaces for different user roles2. Process orientation: Design of user guidance along natural workflows3. Mobile use: Consideration of different end devices and usage contexts4. Accessibility: Ensuring accessibility for all user groupsSystematic consideration of user-friendliness is not a luxury but an essential success factor for value creation from software investment. The additional effort for a well-thought-out UX strategy pays off many times over through higher user acceptance, lower error rates, and faster productivity.
How can performance and scalability be ensured when implementing standard software?
Performance and scalability are crucial quality characteristics that must be considered from the beginning in implementation. A proactive approach prevents performance problems after go-live and ensures a future-proof solution.
📐 Requirements Analysis and Dimensioning
•
Early definition of performance requirements and service level agreements
•
Analysis of user numbers, transaction volumes, and data volumes for different scenarios
•
Consideration of peak loads, growth forecasts, and seasonal fluctuations
•
Definition of response time expectations for different functions and processes
🏗 ️ Architecture and Infrastructure
•
Design of hardware and network infrastructure according to determined requirements
•
Consideration of redundancy and high availability requirements
•
Scalable architecture patterns for flexible adaptation to growing requirements
•
Optimization of database structure for efficient data storage and processing
🧪 Performance Testing and Optimization
•
Systematic load tests under realistic conditions before go-live
•
Stress tests to determine performance limits and scaling behavior
•
Identification and optimization of performance bottlenecks in the overall system
•
Continuous performance monitoring and proactive optimization
📊 Monitoring and Management
•
Implementation of comprehensive performance monitoring for all system components
•
Definition and monitoring of meaningful performance indicators
•
Establishment of early warning systems and alerting for performance problems
•
Capacity planning and proactive resource managementFor effective performance assurance, the following best practices have proven successful:
•
Realistic load simulation: Tests with representative data volumes and authentic usage scenarios
•
End-to-end consideration: Consideration of all components and interfaces in the overall system
•
Performance by design: Early consideration of performance aspects in architecture and configuration
•
Incremental optimization: Systematic identification and elimination of bottlenecks by priorityFor cloud and SaaS solutions, specific challenges and possibilities arise:1. Elastic scaling: Automatic adaptation of resources to fluctuating loads2. Network performance: Optimization of latency and bandwidth for external services3. Multi-tenant architectures: Effects of shared resources on performance4. Service level agreements: Contractual assurances for availability and performancePerformance and scalability should not be considered as downstream optimization tasks but as integral components of implementation. Investments in a solid performance strategy pay off many times over through higher user satisfaction, avoided productivity losses, and reduced subsequent optimization effort.
Success Stories
Discover how we support companies in their digital transformation
Generative KI in der Fertigung
Bosch
KI-Prozessoptimierung für bessere Produktionseffizienz
Fallstudie
Ergebnisse
Reduzierung der Implementierungszeit von AI-Anwendungen auf wenige Wochen
Verbesserung der Produktqualität durch frühzeitige Fehlererkennung
Steigerung der Effizienz in der Fertigung durch reduzierte Downtime
AI Automatisierung in der Produktion
Festo
Intelligente Vernetzung für zukunftsfähige Produktionssysteme
Fallstudie
Ergebnisse
Verbesserung der Produktionsgeschwindigkeit und Flexibilität
Reduzierung der Herstellungskosten durch effizientere Ressourcennutzung
Erhöhung der Kundenzufriedenheit durch personalisierte Produkte
KI-gestützte Fertigungsoptimierung
Siemens
Smarte Fertigungslösungen für maximale Wertschöpfung
Fallstudie
Ergebnisse
Erhebliche Steigerung der Produktionsleistung
Reduzierung von Downtime und Produktionskosten
Verbesserung der Nachhaltigkeit durch effizientere Ressourcennutzung
Digitalisierung im Stahlhandel
Klöckner & Co
Digitalisierung im Stahlhandel
Fallstudie
Ergebnisse
Über 2 Milliarden Euro Umsatz jährlich über digitale Kanäle
Ziel, bis 2022 60% des Umsatzes online zu erzielen
Verbesserung der Kundenzufriedenheit durch automatisierte Prozesse
Let's
Work Together!
Is your organization ready for the next step into the digital future? Contact us for a personal consultation.
Your strategic success starts here
Our clients trust our expertise in digital transformation, compliance, and risk management
Ready for the next step?
Schedule a strategic consultation with our experts now
30 Minutes • Non-binding • Immediately available
For optimal preparation of your strategy session:
Your strategic goals and challenges
Desired business outcomes and ROI expectations
Current compliance and risk situation
Stakeholders and decision-makers in the project
Prefer direct contact?
Direct hotline for decision-makers
Strategic inquiries via email
Detailed Project Inquiry
For complex inquiries or if you want to provide specific information in advance
