our marketplace 1104M 2022 € TURNOVER > 3K EMPLOYEES (FTE) 23 SALES OFFICES 11 DISTRIBUTION CENTRES Strategy of Kramp is built around two business models..
Many companies struggle to monetize data & ai Kramp has articulated the importance of data in its Strategy 2025. “Digital Leading in our Industries & Data Driven”
strategy 1. Set ambition 2. Maturity audit 3. Create use cases 4. Plan & advice Set the ambition by creating a north star & aligning with the overall strategy. Measure the baseline by performing a maturity audit for data & ai. Find opportunities by creating use cases with your key stakeholders. Create a recommendation by consolidating all the input into one plan & advice. Objective
data & ai. 2. Maturity audit Around 60 key stakeholders were interviewed. From board member to data analyst. Technical audit performed by organizing workshops and code reviews with the architects & engineers. All input gathered and measured against the Data & AI Maturity Framework.
3. Create use cases We started with an inspirational workshop. What is possible with Data & AI? Workshops were organized per business domain. In total 14 use cases were found and approved by its business owners. The use cases were prioritized by using the ICE scoring method. * ICE score = Impact * Confidence * Ease
one plan & advice. 4. Plan & Advice We consolidated all input into one readable recommendation. We created a roadmap for the implementation. We developed a management summary for the executive board.
4. 5. Selection & implementation data catalogue Upgrade the EDW & enable self-service Buy & selection data science platform Start working on the first use case (demand forecasting) Create job profiles, learning paths & training curriculums Design Data Office & hire a Data Director Now Next Later
your data strategy into the company’s strategy. Start small and focus on only 1 use case to quickly deliver value. Keep it tangible and pragmatic. Strategy should be executable! 25 We would like to share the following take-aways….