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Innovation Management

Innovation Management

Establish professional innovation management within your organization. We help you systematically develop innovative solutions and implement them successfully.

  • ✓Systematic Innovation Development
  • ✓Agile Innovation Methods
  • ✓Rapid Prototype Development
  • ✓Effective Market Launch

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:

info@advisori.de+49 69 913 113-01

Certifications, Partners and more...

ISO 9001 CertifiedISO 27001 CertifiedISO 14001 CertifiedBeyondTrust PartnerBVMW Bundesverband MitgliedMitigant PartnerGoogle PartnerTop 100 InnovatorMicrosoft AzureAmazon Web Services

Professional Innovation Management

Why ADVISORI?

  • Extensive Innovation Expertise
  • Proven Innovation Methods
  • Practice-Tested Approach
  • Focus on Feasibility
⚠

Why Innovation Management Matters

In a rapidly changing digital world, systematic innovation is critical for sustainable success. Professional innovation management helps you seize opportunities and secure competitive advantages.

ADVISORI in Numbers

11+

Years of Experience

120+

Employees

520+

Projects

We follow a structured approach to innovation management.

Our Approach:

Innovation Strategy

Idea Generation

Concept Development

Prototyping

Market Launch

"Systematic innovation management has helped us develop new products and services faster and more successfully."
Asan Stefanski

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

LinkedIn Profile

Our Services

We offer you tailored solutions for your digital transformation

Digital Innovation Labs

Setup and operation of innovation laboratories.

  • Lab Conception
  • Method Development
  • Team Building
  • Process Design

Design Thinking

User-centered innovation development.

  • User Research
  • Ideation
  • Concept Development
  • Testing

Rapid Prototyping

Rapid development and validation of prototypes.

  • Prototype Development
  • User Testing
  • Iterative Optimization
  • MVP Development

Looking for a complete overview of all our services?

View Complete Service Overview

Our 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.

▼
    • Digital Vision & Roadmap
    • Business Model Innovation
    • Digital Value Chain
    • Digital Ecosystems
    • Platform Business Models
Data Management & Data Governance

Establish a robust data foundation as the basis for growth and efficiency through strategic data management and comprehensive data governance.

▼
    • Data Governance & Data Integration
    • Data Quality Management & Data Aggregation
    • Automated Reporting
    • Test Management
Digital Maturity

Precisely determine your digital maturity level, identify potential in industry comparison, and derive targeted measures for your successful digital future.

▼
    • Maturity Analysis
    • Benchmark Assessment
    • Technology Radar
    • Transformation Readiness
    • Gap Analysis
Innovation Management

Foster a sustainable innovation culture and systematically transform ideas into marketable digital products and services for your competitive advantage.

▼
    • Digital Innovation Labs
    • Design Thinking
    • Rapid Prototyping
    • Digital Products & Services
    • Innovation Portfolio
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.

▼
    • Requirements Analysis and Software Selection
    • Customization and Integration of Standard Software
    • Planning and Implementation of Standard Software
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.

▼
    • Data Products
      • Data Product Development
      • Monetization Models
      • Data-as-a-Service
      • API Product Development
      • Data Mesh Architecture
    • Advanced Analytics
      • Predictive Analytics
      • Prescriptive Analytics
      • Real-Time Analytics
      • Big Data Solutions
      • Machine Learning
    • Business Intelligence
      • Self-Service BI
      • Reporting & Dashboards
      • Data Visualization
      • KPI Management
      • Analytics Democratization
    • Data Engineering
      • Data Lake Setup
      • Data Lake Implementation
      • ETL (Extract, Transform, Load)
      • Data Quality Management
        • DQ Implementation
        • DQ Audit
        • DQ Requirements Engineering
      • Master Data Management
        • Master Data Management Implementation
        • Master Data Management Health Check
Process Automation

Increase efficiency and reduce costs through intelligent automation and optimization of your business processes for maximum productivity.

▼
    • Intelligent Automation
      • Process Mining
      • RPA Implementation
      • Cognitive Automation
      • Workflow Automation
      • Smart Operations
AI & Artificial Intelligence

Leverage the potential of AI safely and in regulatory compliance, from strategy through security to compliance.

▼
    • Securing AI Systems
    • Adversarial AI Attacks
    • Building Internal AI Competencies
    • Azure OpenAI Security
    • AI Security Consulting
    • Data Poisoning AI
    • Data Integration For AI
    • Preventing Data Leaks Through LLMs
    • Data Security For AI
    • Data Protection In AI
    • Data Protection For AI
    • Data Strategy For AI
    • Deployment Of AI Models
    • GDPR For AI
    • GDPR-Compliant AI Solutions
    • Explainable AI
    • EU AI Act
    • Explainable AI
    • Risks From AI
    • AI Use Case Identification
    • AI Consulting
    • AI Image Recognition
    • AI Chatbot
    • AI Compliance
    • AI Computer Vision
    • AI Data Preparation
    • AI Data Cleansing
    • AI Deep Learning
    • AI Ethics Consulting
    • AI Ethics And Security
    • AI For Human Resources
    • AI For Companies
    • AI Gap Assessment
    • AI Governance
    • AI In Finance

Frequently Asked Questions about Innovation Management

What makes innovation management successful?

Successful innovation management is characterized by systematic processes, agile methods, user-centered development, and rapid validation. An open innovation culture and the right balance between exploration and exploitation are also essential.

How long does it take to establish an innovation management framework?

Establishing a foundational innovation management framework typically takes 3–

6 months. Continuous optimization and further development is an ongoing process.

What are the benefits of professional innovation management?

Professional innovation management offers numerous benefits: faster innovation development, higher success rates, better resource utilization, systematic idea generation, and more effective market launches.

How does one establish a successful innovation culture within a company?

A successful innovation culture is the foundation for continuous renewal and competitiveness. It creates an environment in which creative thinking, experimentation, and continuous learning are actively encouraged and become an integral part of the company's identity.

🚀 Leadership and Role Modeling:

• Anchoring innovation as a strategic priority in the corporate strategy
• Active demonstration of an open, curious, and experimental mindset by leaders
• Provision of sufficient resources (time, budget, staff) for innovation activities
• Regular communication about the importance of innovation for future viability
• Promotion of cross-departmental collaboration and reduction of silo thinking

🧠 Space for Creative Thinking:

• Introduction of dedicated innovation time (e.g., 20%-time, Innovation Days, Hackathons)
• Creation of physical spaces for creative collaboration and idea development
• Establishment of structured creativity techniques and methodological competence
• Promotion of curiosity and continuous learning through training and development offerings
• Use of Design Thinking and other user-centered approaches

📊 Structures and Processes:

• Implementation of a transparent idea management process from idea to execution
• Development of a structured yet lean stage-gate process for innovation projects
• Establishment of cross-functional innovation teams with clear roles and responsibilities
• Use of agile methods for rapid prototype development and iterative learning
• Continuous measurement and communication of innovation metrics

🌱 Error Culture and Risk Tolerance:

• Active promotion of controlled experimentation and rapid failure
• Recognition and appreciation of learning outcomes even from failed projects
• Avoidance of blame in the event of failure, with a focus instead on lessons learned
• Establishment of a 'safety zone' for high-potential, risky ideas
• Regular reflection and sharing of lessons learned

🔄 Incentive Systems and Recognition:

• Integration of innovation contributions into performance evaluations and career development
• Implementation of recognition programs for innovative ideas and implementations
• Creation of incentives that foster intrinsic motivation, not only monetary rewards
• Public acknowledgment of innovation successes and learning processes
• Transparent participation in the success of innovation projects

Which innovation methods are suited to which business challenges?

The choice of the right innovation method depends significantly on the specific challenge, the maturity of the organization, and the project objectives. A systematic approach to method selection helps maximize the benefit from innovation initiatives and deploy resources efficiently.

🔍 Exploratory Problem Finding and Idea Generation:

• Design Thinking: Ideal for complex, user-centered challenges with an unclear problem definition
• Ethnographic Research: Suitable for deep understanding of user behavior and undiscovered needs
• Trend Scouting and Foresight Methods: Helpful for identifying future market opportunities and disruption potential
• Open Innovation: Effective for broadening the idea horizon through external perspectives
• Creativity Workshops: Practical for rapid idea generation and broadening perspectives within a team

🛠 ️ Prototyping and Validation:

• Lean Startup and MVP Approach: Optimal for rapid market testing with minimal resource deployment
• Rapid Prototyping: Suitable for quick visualization and testing of product concepts
• A/B Testing: Effective for data-driven optimization of digital products and services
• Business Model Canvas: Helpful for the systematic development and review of business models
• Pretotyping: Useful for very early validation of core assumptions without development effort

🚀 Implementation and Scaling:

• Scrum and Agile Methods: Ideal for iterative development in complex, dynamic environments
• Design Sprints: Suitable for focused, time-limited innovation initiatives
• Lean Six Sigma: Effective for process innovations and efficiency improvements
• Growth Hacking: Helpful for rapid, measurable growth with digital products
• Objectives and Key Results (OKRs): Practical for aligning innovation activities with strategic objectives

🏢 Organizational Innovation:

• Ambidextrous Organization: Optimal for companies seeking to simultaneously optimize existing business and develop new areas
• Corporate Venturing: Suitable for developing radical innovations outside the core organization
• Holacracy and Agile Organizational Forms: Effective for increasing adaptability and self-organization
• Communities of Practice: Helpful for knowledge sharing and competence development
• Digital Transformation Frameworks: Useful for the strategic digitalization of business models and processes

🔄 Continuous Innovation:

• Kaizen and Continuous Improvement Processes: Ideal for incremental optimizations in established processes
• Innovation Accounting: Suitable for measuring and managing innovation activities
• Idea Management Systems: Effective for the systematic capture and development of employee ideas
• Knowledge Management: Helpful for securing and utilizing organizational knowledge
• Employee-driven Innovation: Practical for harnessing the collective intelligence of all employees

How can Open Innovation be used strategically by companies?

Open Innovation extends a company's innovation capacity well beyond its organizational boundaries and unlocks the creative and intellectual potential of external partners and communities. A strategic approach to Open Innovation enables organizations to leverage external ideas and expertise in a targeted manner for innovation challenges.

🌐 Strategic Foundations for Open Innovation:

• Development of a clear Open Innovation strategy with defined objectives and focus areas
• Integration into the corporate strategy and alignment with strategic priorities
• Identification of suitable innovation fields for external collaboration versus internal development
• Building a culture of openness and active exchange with external partners
• Definition of governance structures and IP strategies for external collaboration

🤝 Partner Ecosystem and Networks:

• Systematic development of a diverse innovation ecosystem with different partner types
• Identification and engagement of key actors such as startups, universities, and technology partners
• Development of various cooperation models for different partner types and objectives
• Cultivation of long-term strategic partnerships beyond individual projects
• Use of intermediaries and platforms to efficiently expand the network

🔍 Problem Definition and Challenge Design:

• Precise formulation of innovation challenges to maximize external input
• Balancing between overly narrow (limiting) and overly broad (inefficient) problem statements
• Ensuring sufficient information is provided without disclosing confidential details
• Development of attractive incentive systems for external contributions (financial and non-financial)
• Professional management of challenge platforms and communication channels

📊 Selection and Evaluation Processes:

• Establishment of transparent criteria for evaluating external ideas and solutions
• Development of diverse evaluation teams with internal experts from various departments
• Development of efficient screening processes for large volumes of submissions
• Combination of quantitative evaluation systems with qualitative expert assessments
• Implementation of rapid feedback loops for continuous improvement of submitted ideas

🔄 Integration and Implementation:

• Development of clear processes for transferring external ideas into internal development processes
• Establishment of suitable interfaces between external partners and internal teams
• Adaptation of internal processes and structures for efficient use of external contributions
• Creation of mixed teams of internal and external experts for implementation
• Establishment of knowledge transfer mechanisms to secure long-term learning

How can the success of innovation activities be measured effectively?

Measuring innovation success is critical for strategic management, resource allocation, and continuous improvement of all innovation activities. A balanced set of metrics considers both short-term results and long-term innovation capability, and connects input, process, and output metrics.

📊 Strategic Innovation Metrics:

• Innovation Revenue Percentage: Share of revenue from products/services introduced in the last X years
• Innovation ROI: Total return from innovation projects relative to investments
• Portfolio Balance: Distribution of innovation initiatives across incremental, adjacent, and disruptive innovations
• Market Impact Index: Influence of innovation activity on market share and market position
• Strategy Alignment Score: Degree of alignment between innovation activities and strategic priorities

🚀 Innovation Process Metrics:

• Time-to-Market: Duration from idea generation to market launch
• Conversion Rate: Success rate at various stages of the innovation process
• Ideation Velocity: Number of ideas generated and qualified per unit of time
• Iteration Cycles: Average number of feedback loops until successful implementation
• Resource Efficiency: Ratio of resources deployed to results achieved in the innovation process

🧪 Experimentation and Learning Metrics:

• Experiment Efficiency: Cost and time required per experiment conducted
• Learning Rate: Speed of insight generation from experiments
• Validation Ratio: Ratio of confirmed to refuted hypotheses
• Pivot Rate: Frequency of significant concept changes based on market feedback
• Knowledge Diffusion: Degree to which insights from innovation projects are disseminated within the organization

👥 Culture and Capability Metrics:

• Innovation Engagement: Share of employees actively contributing to innovation activities
• Collaboration Index: Extent of cross-departmental collaboration on innovation projects
• Skill Development: Development of innovation-relevant competencies and methods within the organization
• Innovation Climate Survey: Regular survey on the perception of the innovation culture
• Failure Tolerance: Handling of failed projects and the resulting learning outcomes

🔄 Implementing an Innovation Measurement System:

• Development of a balanced set of metrics with lead and lag indicators
• Establishment of regular reporting cycles with varying levels of detail for different stakeholders
• Integration of innovation metrics into existing performance management systems
• Creation of transparency through visualized innovation dashboards
• Regular review and adjustment of metrics in response to changing strategic priorities

Success Stories

Discover how we support companies in their digital transformation

Generative KI in der Fertigung

Bosch

KI-Prozessoptimierung für bessere Produktionseffizienz

Fallstudie
BOSCH KI-Prozessoptimierung für bessere Produktionseffizienz

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
FESTO AI Case Study

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
Case study image for KI-gestützte Fertigungsoptimierung

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
Digitalisierung im Stahlhandel - Klöckner & Co

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

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