As more and more data is available, we see organizations struggle more and more to benefit from it. Uncertain where to start, many organizations find it difficult to extract customer value from the data that is available to them.
The proven BearingPoint approach for data centric organizations takes a holistic view on data and enables organizations to become more data centric. Using a simple, yet comprehensive, three-step approach we help organizations in their move towards data centricity.
Step 1: Strategic goals & data maturity
Working with data just for the sake of it does not add value to your organization. Instead, you want it to be linked to your strategic business goals. As you know your business best, we believe this is something you bring in.
Additionally, to be able to determine opportunities for getting more value out of your data, you need to know what your current data capabilities are. Therefore, we assess the data maturity in your organization. In this assessment we take an in-depth look at 15 key data capabilities of an organization. These data capabilities, grouped in six enablers provide a holistic view on data in your organization. These data enablers are as follows:
These data enablers are as follows:
- Approved data goals
- Common view on data
- Data analytics
- Data management
- Data provisioning
- Sustainable foundation
By combining your strategic goals with the assessment outcomes, you can formulate a data strategy.
Step 2: Data strategy & roadmap
After combining the outcomes of step one, a data strategy is formulated. This comprehensive data strategy covers all 15 key data capabilities and forms the point on the horizon for all data initiatives.
A data strategy alone is however not enough. Using the assessment results from step one, the gap between the current and desired situation is identified. Based on this, projects are defined, including a high-level identification of required costs and resources. These are then placed in a logical sequence to form your data roadmap covering all six data enablers that were assessed in the previous step.
This roadmap consists of two types of initiatives:
- Quick wins: initiatives that quickly generate value or demonstrate a technology
- Data foundation initiatives: initiatives that provide long-term value to the organization in the field of data.
By focusing on short and long-term initiatives all data capabilities are touched and further developed to grow the data maturity of your organization.
Step 3: Implementation
After the strategy has been formulated, initiatives are defined and put into sequence, the work on the data initiatives can start to become a more data centric organization.
Periodically, progress along each enabler is evaluated. This is done to reflect on the effectiveness of each initiative and to adjust where needed (i.e. because of changes in- or outside the organization).
How we can help
At BearingPoint, we recognize you understand your business best. Therefore, we believe the best results are delivered by combining your knowledge of your organization with our knowledge & experience on data. Whether you need help with a specific part of the process of becoming more data centric, you want expertise on a specific data enabler or you need help with both, we tailor our offering to your needs and let you use your data to the fullest.