Data Governance

Data needs to be governed so people, who consume it through reports, dashboards & analytics, etc. and take crucial business decisions based on these, can do so with full confidence in the underlying data. Forrester defines data governance as: “The process by which an organization formalizes the fiduciary duty for management of data assets critical to its success”. Đọc tiếp “Data Governance”

Data Management

This is the most technology heavy part in the framework and needs a lot of involvement from IT professionals. It encompasses process areas designed to help an organization design the optimal data layer to meet the present and future business needs; establish and implement well-crafted, enforceable standards; select a platform and supporting technologies that meet scope and performance requirements, integrate disparate sources of data; and manage historical and aged data effectively. The data management function defines key components of data management activities and provides guidance for interaction with the overall organization. Đọc tiếp “Data Management”

Data strategy

Many companies make the mistake of starting their transformations or simply making investments in data/information management programs just for the sake of transforming or because everyone is doing it. It is crucial for organizations to align their investments in these initiatives with definitive business goals. Đọc tiếp “Data strategy”