Master Data Management

Master Data is the critical information about customers, products, location, employee, suppliers, asssets or similar categories. It is the foundational information used throughout an organization to establish workflow and make key business decisions. When Master Data is correct, consistent and up-to-date across an enterprise, management can achieve a holistic view of its internal operations, partner interactions and customer behaviors.

This 360 view provides a "Single Source of Truth" creating increased efficiencies that result in higher profit margins. We help to define the master data for your organization and consolidate the same into a single place to enable the common point of reference enabling data sharing among personnel and departments. Thus reducing incorrect or duplicate data in the system, increasing inefficieny & effectiveness.

The Atlas advantage


Master Data Cycle

There are essentially five types of data in corporations. "Master data" fall into four groupings - people, things, places, and concepts. Unstructured data in e-mail etc. Transactional data like sales, deliveries etc. Metadata in database structures etc. Hierarchical data represents the relationships between other data. Data management follows the cycle of CRUD - Create, Read, Update & Destroy along with Search.


Master Data Model

MDM program involves identification of sources of master data, producers and consumers, collect and analyze metadata, appoint data stewards, implement a data-governance program, develop the model, choose a toolset, design, generate, test & deploy. It includes decisions like what the master records look like: what attributes are included, what size and datatype they are, what values are allowed, mapping between the data model and the data sources.


Data Governance

Our experts propose and test a data governance model which ensures management of the availability, usability, integrity, and security of the data employed in an enterprise. Our sound data governance program includes defined set of procedures, and a plan to execute those procedures.


Data Audits

We perform data audits to reduce exposure to unnecessary risks. Audit includes determining where your company data comes from, how it is stored and how it is used. This also involves profiling the data and assessing the impact of poor quality data on the organization's performance and profits.


Data cleansing

Data cleansing is also called Data Scrubbing and happens prior to Data Validation. Dirty Data enters the system through various sources like user entry errors, corruption in transmission or storage, or by different data dictionary definitions of similar entities in different stores. Our experts perform thorough cleansing of extracted data to ensure its integrity. Through this process, they are able to clean the “dirty data” As a result, systems are optimized.

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