Introducing the Data To Value Lean Data Process
Here at Data To Value we have pooled together the many years of experience of our partners, consultants and affiliates and taken what works best to create an iterative and agile data development methodology. This work has evolved into the Lean Data Process and we will be building out each of the components over the coming months as we continue to apply the principles, tools and techniques to real problems that our customer’s experience.
The overall approach is represented by the Lean Data Framework which encapsulates the data development and management life-cycle. All data projects should be driven by business need and the start of the process is always the business requirement or the business problem to be addressed.
The top and bottom of the stack below are business owned domains. These are supported by the middle two domains which are specialist IT domains where the business requirements are satisfied and the business problems are solved using technology.
We also recognise that the world of data and information is changing rapidly. New technologies for data management are coming on the scene in quick-fire succession. The Lean Data Framework covers all types of data, structured, semi-structured and unstructured; be it stored in databases, files, email, website, content stores or wherever it needs to be understood, used, tagged and accessed.
The Lean Data Process uses a Build, Measure, Learn cycle to create a continuous development environment geared to delivering rapid business benefit. A very popular engagement is our Lean Data Quality service. Another typical application is the creation of an enterprise wide information model. This and other components from the overall process will be described in more detail in future posts.