Every company collects and manages vast amounts of data, e.g. from production processes or business transactions. Yet, even today only a fraction of this data is used effectively to support control and decision-making processes. There are many reasons for this: some companies lack binding data governance or are only just implementing the technologies required for data analysis. Others are struggling to formulate a clear data strategy.
Data Strategy & Artificial Intelligence
Data is the New Oil. Are You Drilling in the Right Place?
Data Strategy: Avoid Data Chaos
Data is essential for digital transformation. This basic idea drives many companies to collect data - but unfortunately far too often without a clear objective. In the end, the surprise is great when the insights or improvements gained fall far short of the goals set. In the worst case, they rely on outdated, incomplete or incorrect data and the money invested in the digital transformation is gone.
Data strategy as the basis for product innovation, customer focus, and process automation
Artificial Intelligence: Harness the potential of artificial intelligence
Generative artificial intelligence (AI) is currently a hot topic that is on everyone's lips, and not just in the IT industry. However, in all the excitement, the key questions about the meaning and purpose of AI are quickly forgotten: How can your company accelerate product development, improve customer experiences, automate processes, or effectively reduce costs by investing in AI? Which companies in your industry have already improved their profitability with AI? And what conditions led to their success?
Our experts provide you with insights and best practices for the effective and efficient use of data. They will help you classify development trends in the field of AI and identify suitable areas of application for your company. Using examples from numerous projects, we will show you how other companies use AI processes, cognitive computing, data mining, neural networks, or predictive analytics to process their data treasure trove in depth and develop an understanding of their data.
AI strategy consulting: Our 5-phase approach
In our AI strategy consulting, we use a modular 5-phase model consisting of various methods and formats. The individual phases build on each other but can also be used separately. Our approach can be customized for companies at any level of AI maturity: depending on the stage of AI development your company is at, different phases will be completed. We also respond flexibly to your wishes and needs during implementation. We can hold the workshops and training formats in person or digitally.
As a result of our consulting services, you will receive:
- A comprehensive AI strategy tailored to your business goals
- A prioritized list of AI use cases with detailed descriptions and potential business value
- A detailed roadmap for the implementation of AI solutions
- A management presentation summarizing the most important results and recommendations
Phase 1: Situation analysis and maturity assessment
Phase 2: Strategy development
Phase 3: Identification and prioritization
Phase 4: Creation of an AI roadmap
Phase 5: Workshops and training (optional)
Data Strategy & Artificial Intelligence: our other strategic consulting services
Ideation & Discovery Workshop: “Critical Components of Successful Data Governance”
Our joint approach:
In today's complex business world, there are few elements as critical to an organization's success as data. At every level of the organization, the ability to access, manage, analyze and make decisions based on data is paramount. And yet, many organizations do not currently have a data governance program in place. A recent analysis by Dataversity found that only just over 10% of companies surveyed have fully implemented programs.
In our Ideation & Discovery Workshop, we will show you how you can benefit from data governance. Depending on your specific challenges, we will develop a data governance target picture that is right for you.
Your benefits:
- Framework conditions for effective data governance - data architecture, data quality, data management, data security, data compliance
- Realizable target image for data governance
- Quick check of the effectiveness of existing guidelines and controls in the context of data governance
- Good practices, concrete use cases and benchmarks as a guide for the introduction of effective data governance
Assessment: Data Management – Maturity Level
Our joint approach:
Every company generates data - but not every company manages this data effectively. When data management maturity is low, there are many challenges. But once companies overcome these challenges, there is an opportunity to create tremendous value with data.
Based on a data excellence approach, we evaluate the maturity level of your data management together. As part of this, we record the established standards, processes and technologies, available personnel capacities and defined data management services.
Your benefit:
- Objective maturity level of your data management
- Risk assessment for identified deficits
- Opportunity assessment for the successful implementation of data excellence requirements
- Specific recommendations for action to optimize your data management in order to achieve the desired level of maturity
- Guidance to concretize your data strategy
Assessment: DSGVO / GDPR and Data Governance Maturity Level
Our joint approach:
With digitalization, the volume of processed data in companies is increasing significantly. How can you demonstrate your GDPR compliance and improve the maturity of your data protection environment in this dynamic environment?
With our GDPR and data governance assessment, we determine how you can best handle data protection requirements in your company.
Your benefit:
- Assessment of the implementation of the principles for effective data protection management in your data governance in accordance with legal requirements
- Specific recommendations for additional processes, technologies or control measures to increase the maturity level of your data protection environment
- Structured preparation for a Data Protection Impact Assessment (DPIA)
Assessment: Artificial Intelligence – Inventory and Maturity Level
Our joint approach:
Our project experience shows that companies need to master a number of key skills in the right combination to achieve AI maturity. On the one hand, fundamental skills are required, for example in cloud platforms and tools, data platforms, architecture and governance. Secondly, unique selling points such as a clear AI strategy, management support and a culture of innovation are required.
With our AI maturity analysis, we determine your basic readiness for the use of AI. We also assess how suitable the measures implemented to date are for achieving the goals defined for AI.
Your benefit:
- Orientation aid for deriving or concretizing your AI strategy
- AI maturity level of your company - preliminary stage / development / innovation / transformation
- Specific recommendations for action for the further planning of AI projects
Artificial Intelligence & Data Strategy: Projects of the TIMETOACT GROUP
ESA: Data Factory, die Single Source of Truth
Medi Bot: Der KI-Assistent für Kliniken
Negotiation Bot: Effizient verhandeln & bis zu 15 % sparen
Data Fabric im Krankenhaus - Agaplesion
Hoch-performante Software für datenbasierte Entscheidungen
The references are only available in German.
The TIMETOACT GROUP – Your Partner for Data and AI
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We would be happy to advise you on your data strategy & artificial intelligence concept in a non-binding meeting. Simply leave your contact details and we will get back to you as soon as possible.
Our Strategy Domains: Comprehensive Consulting for Your Digital Strategy
In addition to the topics of "Artificial Intelligence" and "Data Strategy", we and our Strategy Fellows support you in these other strategic domains:
Business Innovation & Digital Transformation
Technology Adoption & Integration
Change, Collaboration & Leadership
Governance & Operational Excellence
Sourcing Strategy, Spend Management & Compliance