Data Strategy
Companies often have a wealth of data and a desire to leverage it to create value. However, it's just as common that they lack a clear overview of their data and how to use it effectively. This is where a data strategy comes into play. It’s about defining a direction and specifying how your company can generate value from the data you already have. It might sound simple, but start by setting a goal—what do you want to achieve? It’s fundamentally about creating a vision for the strategy and defining the key focus areas. Next, you need to consider what skills, data products, and data platforms are required to support the vision. And of course, how to get started. Our best advice is to start small and build your data platform use case by use case. Based on our more than 20 years of experience in developing user-centered and data-driven solutions for a wide range of companies and organizations, we have compiled 8 key points to consider when developing your data strategy.
Sådan kommer du i gang
Vision
We help you identify your overarching goals for utilizing data – how does it add value to your organization while being consistent with the overall vision?
Strategic business initiatives and use cases
Define 3-5 initiatives that support the vision. How do we measure success?
Applications & Touchpoints
Consider if the touchpoints support the user journey through the offered services. Do the initiatives require us to develop new products and services, or should the existing products and services be updated?
Data Products
We can help you define the data products needed to support the identified initiatives. What kind of analytical capabilities are needed? How do we distribute data?
Data Platforms
We will look at the as-is architecture of the current platform and develop the to-be architecture of the future data platform. What is the cap between the as-is and to-be data platforms?
People
Together, we identify what skills/roles are required to provide insights from the data. How do we empower employees to utilize data assets? What is the plan for education? Do we build an internal team or use external partners?
Governance and Compliance
Define the roles and responsibilities that are necessary to support the the data initiatives. How is the organisation and leadership shaped to achieve the vision? What regulatory compliance do we adhere to?
Planning
We make sure to plan the process. Where should we begin? How do we enrue that we build the right elements in order to maximise learning and continued value creation?