Enterprise Data Management

Transforming data into value

Managing the data effectively from ingesting from source till visualization and analytics to ensure it generates business value which will drive business initiatives. 

Enterprise Data Management

EDM Framework

A holistic Enterprise Data Management strategy can help businesses realize the value of their data. Enterprise data management (EDM) covers a set of processes, practices, and activities focused on data accuracy, quality, security, privacy, architecture, modelling, availability, and good governance.

6 core components of most of the EDM Data Management Frameworks

Data Ingestion: Helping enterprises consuming data from desperate systems through advanced data ingestions techniques.

Data Governance & Metadata Management : Data governance (DG) is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal data standards and policies that also control data usage.

Data Quality : It describes the degree to which data fits the purpose it was intended for. Data is considered high quality when it accurately and consistently represents real-world scenarios.

Data Architecture & Modelling: Data Architecture is a framework built to transfer data from one location to another, efficiently. Data model could mean relationships between objects in a particular application, or it could mean a set of concepts used in defining such relationships or formalisations

Data Warehouse : It is a central repository of information that can be analysed to make more informed decisions.

Data Science & Analytics : Data scientists use programming, math, and statistics to gain insights and drive organizational strategy. Data analytics professionals are responsible for data collection, organization, and maintenance, as well as for using statistics, programming, and other techniques to gain insights from data