Creating a data-driven culture starts with asking a lot of questions. This takes place in order to find out where an organisation wants to move which then becomes your data strategy. Technology has developed so rapidly in recent years, so much so that small or mixed companies often feel that they are (almost) unable to keep up with the technology. That’s why you need a data strategy: a data strategy that shows how people use data, which things have priority and where opportunities and dangers lie.
People, processes and change management
Input from individuals in the organisation is crucial to understand the short and long term goals. The strategy must contain at least three elements: people, processes and change management. But it should also include identifying the business case and defining roles and responsibilities. All this with the aim of creating an achievable plan for the future.
Data strategy in three steps
It helps to ask ‘why’, ‘what’ and ‘how’ questions when drawing up a data strategy. How can data help achieve business goals? How can we understand customers and trends? Would you like to realize extra turnover, set up smart products or services? Or perhaps it is your goal to better organize internal operations.
Creating a data strategy is not an isolated goal, it must be driven by the overarching business strategy. Therefore, a critical starting point for any data strategy is the company’s strategic objectives. A good question to ask is: what is the company trying to achieve and how can data help?
Data strategy is a continuous and collaborative process
There are a number of important conditions associated with a good data strategy:
- Awareness throughout the organisation. Avoid a situation where only a few people or departments are aware of the data strategy, make it be known to everyone. You do this together
- Business is in the lead. Not (only) the IT department
- Data strategy is a process. It is about analysing, executing, evaluating and implementing. This is called an iterative process
If you do not yet have a data strategy, it is certainly not too late to start with that. In our program we will determine a data strategy together. We describe KPIs, challenges and risks. We do this with management, business users and analysts. Then follows a Blueprint including a detailed planning with various activities.