Data Strategy
We are dedicated to helping your business harness the power of data in the most effective way possible.
Here's how we approach it:
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Data IQ Assessment
Data IQ Assessment: We start by listening to the needs of your top management and functional leaders. Our thorough Data IQ assessment is designed to reveal the strategic potential of your data. The assessment of your organizational data maturity sheds light on current strengths and weaknesses. It sets the direction towards a data-mature organisation that makes its decisions based on data, or on the insight provided by the data.
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Business first: Start with strategic questions
Together we identify the key questions and challenges that your organization aims to address through data-driven initiatives. This step aligns the data strategy with the overall strategic objectives of the organization. Strategic questions serve as a compass, directing efforts toward the most relevant and impactful data-driven initiatives.
At data IQ, we believe in the power of a business-first data strategy, delivering:
Improved marketing and sales efficacy
Enhanced customer experiences
Creation of data-driven business models
Streamlined supply chains
Efficient resource utilization
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Data Inventory
We establish a comprehensive inventory of your internal and external data sources. This helps you identify the range of strategic questions that your current data framework can already answer. Further, this step is crucial in order to identify missing data that needs to be acquired from external sources or collected with specific methods and technology.
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Data Strategy Design
Our detailed analysis helps determine the reliability and extent to which your data can address future growth challenges. The strategy document addresses people, processes, and technology on a top level. A data strategy must be endorsed and supported by the top management, to ensure it has authority and significance across the organisation. The transformation to a living data culture requires adequate internal communication and motivation - in the forms and languages that can reach and touch the whole business. Data strategy is not static, it must be flexible over time. Ideally, it describes the end state of a dynamic, data-driven transformation.