WHAT IS ENTERPRISE DLM?

A policy based approach to the flow of information through enterprise business systems from design and creation to deletion and obsolescence.

We solve for enterprise data challenges and enhance the consistency and quality of all data types across the entire value chain. The goal is to improve decision making and increase the effectiveness of MIS reports through accurate data.

Our unique TDBU Approach (Top Down - Bottom Up) provides a holistic view to the issues and challenges around enterprise data, from a “top down” strategic overview all the way to uncovering reality at ground zero (“bottom up”).

The “top-down” method creates an overview of the data landscape, identifying all the data sources and applications that create or use data. Each data source is analyzed and defined in detail, describing the various objects and their inter-relationships. Business processes that create and manage data are also audited to understand the impact of such processes on the quality of data.

Our “bottom-up” approach gathers insights on the health of existing data across the enterprise. A thorough analysis of the various data objects is undertaken (using our Data Health Check™ methodology) with a view to examine level of completeness, consistency, conformity and duplication in the existing data. This approach provides a baseline from which to build recommendations for data definitions, data transformation and data governance.

The combination of the two allows us to get a unique view of enterprise data that leads to the creation of a realistic framework and a road map for managing data and implementing effective data governance. This approach also provides a strong value proposition for investment decisions.

The various steps in our methodology are:

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