Digital transformation requires the strategic use of data and artificial intelligence (AI) to secure competitive advantages. CANCOM supports companies in Austria in fully exploiting the potential of data & AI and developing customized solutions that meet the specific requirements of your company. Our consulting services help you to identify and successfully implement the necessary steps for AI and data readiness.
Data & AI Consulting
The future is in the data. Digital innovation - the biggest challenge for Austrian companies.
AI readiness with AI Journey Consulting
In a rapidly evolving technological landscape, it is crucial to know your own AI readiness and to increase it in a targeted manner. With our AI Journey Consulting, we offer a comprehensive analysis of your AI readiness and work with you to develop a strategy to successfully integrate artificial intelligence into your business processes.
AI Readiness Quick Check
Rapid assessment of AI maturity and identification of strategic areas of potential with the greatest business impact
Results:
- AI readiness across 5 dimensions with gap analysis and benchmark
- Strategic potential fields map with 3-5 evaluated AI focus fields
- Executive summary with immediate measures and investment framework
Contents
- Compact assessment workshop with key stakeholders
- Analysis based on the 5 dimensions: Purpose, People, Governance, Data & Technology
- High-level value chain analysis to identify areas of potential
- Benchmark on best practices
- Synthesis and management presentation
AI Strategy & Foundation
Development of a sustainable AI vision and a holistic target image for AI in the company across the 5 dimensions
Results:
- AI vision and strategic target image across 5 dimensions
- Strategy documentation with concrete goals and fields of action
- High-level value chain transformation blueprint taking into account the 5 dimensions
Contents
- Purpose: Vision, mission and strategic AI goals aligned with the corporate strategy
- People: Operating model, role definition, skills strategy and change management
- Governance: Ethics framework, decision-making structures, compliance and risk management
- Data & technology: data foundation, target architecture and technology strategy
- Development of the strategic roadmap for the sustainable anchoring of the AI strategy in the company
AI use cases & roadmap
Systematic identification, evaluation and prioritization of specific AI use cases to develop an implementation-oriented roadmap with quick wins
Results:
- Detailed and reviewed AI use cases
- Prioritized use cases based on a comprehensive assessment
- Implementation-oriented roadmap (12-24 months) for well-founded decisions
Contents
- Use Case Discovery & Ideation: Workshop series in all strategic focus areas for the systematic collection of max. 15 use cases with standardized documentation (use case canvas)
- Multi-criteria evaluation & prioritization: Structured scoring according to business value, technical feasibility, implementation effort and risk with portfolio optimization
- Data readiness & technical validation for the top 3-5 use cases
- Roadmap planning: Ranking of the use cases based on the evaluation and the available resources for an implementation-oriented roadmap (12-24 months) for informed decision-making
AI Implementation Boost
Comprehensive technical and functional implementation concept of a selected use case for the successful development of the pilot project/PoCs
Results:
- Customized implementation concept for the selected PoC
- Validated technical foundation for integration into the existing IT & data landscape
- Scale-up plan/blueprints for the introduction with training concepts
Contents
- Use case deep-dive & requirements analysis: Detailed analysis of the selected AI use case with business and technical requirements
- Technical architecture & IT integration: Development of the technical solution including system architecture, evaluation of AI tools and platforms, interface concepts to the existing IT landscape as well as security and compliance checks
- Data management & preparation: Identification of relevant data sources, data quality assessment, data preparation processes and governance guidelines
- PoC roadmap & implementation plan: Project plan, resource planning and quick-win strategies for the successful pilot
- Scale-up strategy & enablement
Data readiness with Data Strategy Consulting
A solid data strategy forms the foundation for sustainable business success. Our Data Strategy Consulting supports you in evaluating your existing data landscape and developing a forward-looking strategy that optimally supports your business goals. We help you to prioritize and implement the right measures to use your data effectively.
Digital Data Strategy
Objective:
Development of a forward-looking and sustainable digital data strategy for the entire company in line with the business strategy and a concrete roadmap with measures for successful establishment in the company
Content:
- Assessment of the current corporate and digitalization strategy as well as the business model to gain an understanding of the vision and the initiatives set
- Creation of an overview of the current data landscape, processes and information flows in order to derive the key drivers and potentials
- Development of a holistic data strategy and definition of specific fields of action in line with the business strategy
- Elaboration of the fields of action of the data strategy, taking into account relevant technology trends
- Evaluation of the defined fields of action and identified potential for prioritizing the measures for subsequent implementation (business case analysis and value mapping)
- Development of a concrete plan as a result for the successful implementation and sustainable establishment of the data strategy in the company
Result:
Presentation of the results of the developed content and comprehensive concept of the data strategy
