After a successful completion of a data discovery phase, we deliver a presentation and you get a list of knowledge areas improvements. It takes the stakeholders a few weeks to reach consensus on chosen implementation priorities. Datatunnel has a flexible project management approach and we choose for result-driven tasks which consists of a set of projects and subprojects activities.
What project deliverables can you expect from our knowledge areas? How clean is your enterprise data? Your business units might be at an intermediate level to connect their data through a data warehouse or share it under a business intelligence platform. Some of our customers require identifying the enterprise data sources or re-designing existing data models. Our customers decide what data management knowledge areas will offer immediate benefits. We recommend first, then you decide.
A few examples of project deliverables are:
Project deliverables vary based on our customer priorities. You choose which projects offer immediate benefits.
Prior to starting a data project, we identify specific responsibilities and together we appoint relevant roles.
Various business, data, development and IT roles work together in a variety of data management knowledge areas.
Any missing skills are provided with the support of our subject matter experts.
The whole team works towards a common goal and we ensure that every team member is well trained in their role.
Various tools and procedures will connect your enterprise data.
After running a data discovery of a knowledge area, we share our findings with facts and metrics.
We work with you to assess costs and benefits and on the design of the data solution.
We compare best practices and alternative approaches in relation to tool criteria and share with the business, data and IT teams what works best in your company environment and culture.