We deliver value to businesses by contributing in implementation of data management and developing predictive models for business planning. Our specialists adapt leading standards to the company’s requirements and capacities, depending on the company’s needs.
We believe that data lies in the center of all the business activities. In any company, every department deals with data on a daily basis. It is being produced, anaysed, exchanged, and in the end delivered to the stakeholders. Thus all decisions made within your company are based on data. Knowing its potential, and using it in a correct way is the key to an effective business.
Choose the main driver.
You don’t set up data management for fun. You do it because a certain goal drives you to do it. The driver defines the set of data management components you need to implement. Think about improving quality of your data, compliancy with regulations, implementing advanced analytics.
STEP 1: Define who needs what and why.
This business driver has its own stakeholders with their needs and requirements. You discover who these stakeholders are, what they need and evaluate their power and level of involvement.
STEP 2: Agree on who will be doing what.
As there are many stakeholders involved in the process, you need to define and divide relevant tasks and responsibilities.As a result, you get a clear governance structure, that link tasks with relevant roles and their accountabilities.
STEP 3: Structure your data house.
For a specific driver, you need only a specific limited number of universal data management components. As a result, you get an implemented data management capabilities with matching deliverables. These capabilities and deliverables are feasible to your company and fit for purpose of your driver.
STEP 4. Assess the gaps.
You company already has either formally or informally operating data management functions. You need to assess the gaps in order to define your action plan.
STEP 5: Keep going…
It is not only important to know what you need to do. It is also important to ensure existence of the success factors. These success factors assist your company within reasonable time limit and restricted resources build your ‘fit for purpose’ data management function.