Data Strategy
We turn raw data into valuable insights by making data accessible, reliable, and usable. We help you identify data sources, define use cases, and create a roadmap for your data, enabling cutting-edge data-driven decision-making processes. Always with your strategic business goals in mind and equipped with a wealth of experience, tools, and methods. We support you every step of the way—from analyzing the current state to implementing the right frameworks.
A solid data strategy enables:
Transparency: Gain a clear view of your current data maturity
Identify and prioritize data and AI use cases
Define core challenges and bottlenecks in departments like marketing, operations, or finance
Set clear goals and KPIs for measuring the success of data initiatives
Establish clear responsibilities and processes for a data-driven organization
What we do
Data Audit/Strategy
Assess the organizational and technological maturity of your company, derive clear action recommendations, and develop an implementation strategy for your corporate data.
AI/ML Readiness
Analyze and evaluate data foundations, determine use cases, and create a roadmap for implementing AI or ML initiatives—all aligned with growth goals.
Data Governance
Provide professional support in managing the data landscape, including defining roles, processes, and policies, as well as monitoring data quality and security.
Data Audit/Strategy: Becoming Data-Driven
A data audit and a well-thought-out data strategy are your compass to top-notch data quality, guaranteed compliance, and new business opportunities.
Step 1: Status Quo
Through workshops and a systematic inventory, we get a comprehensive picture of the overall situation and lay the foundation for a data strategy.
Step 2: Target Architecture
We define, prioritize, and detail use cases and derive a technical target architecture, including an MVP (Most Viable Product) target architecture for implementing initial data use cases.
Step 3: Summary
With clear objectives in mind, we consolidate all results and enhance them with tool and architecture recommendations. Depending on the scope, we create quick-win recommendations, a step-by-step roadmap, or a detailed action plan.
Our Data Tech Stack
AI/ML Readiness: Entering the Race
Assessing an organization’s readiness for AI and Machine Learning involves several aspects: strategic alignment and company-specific challenges, data infrastructure, technological maturity, and the AI readiness of employees.
Get an Overview
Together, we define and align the vision and opportunities of AI/ML in your company. What problems can AI/ML solve, and how do they contribute to company goals? These questions are answered by summarizing key use cases, including necessary data sources and other technological requirements.
Determine Maturity
We define, prioritize, and detail use cases and derive a technical target architecture, including an MVP (Most Viable Product) target architecture for implementing initial data use cases.
Get Started
For priority cases, we develop a multi-stage implementation roadmap and kick off with pilot projects. If there are still hurdles, we show how to overcome them efficiently, e.g., with data cleansing and standardization initiatives, training, or change management programs.
What sets us apart
Delivery Excellence
Delivering is our top priority. Through smart management, we keep projects on track from discovery to go-live and beyond.
Holistic View
Our experience allows us to quickly grasp the necessary context and then take responsibility for specific domains or even overall coordination.
Deep Tech Expertise
Our tech experts work on complex architectures and maintain solutions at the highest level, always ready for the next upgrade.
Best-of-Breed for Every Need
Benefiting from our partner ecosystem, we are able to model the right technology stack for every use case.
Collaboration at Eye Level
We work in partnership and integrate seamlessly into project teams, developing suitable solutions with openness and pragmatism.
Ready for more?
Let's talk ideas, challenges, needs, and solutions.
