data management


The Power of Pro-active Monitoring: Why Data Observability and Data Quality Matter

March 6th, 2023 by Vidula Kalsekar - Manager, Client Success

Data is one of the most significant assets for any organization and those who are able to effectively collect, analyze, and make data-driven decisions stand to have a significant advantage over their competitors. Therefore, trusting that data is paramount to success.   Gartner predicts that by 2025, 60% of data quality monitoring processes will be autonomously […]

Optimizing Data Quality Management (DQM)

March 1st, 2023 by Sudarshana Roy Choudhury - Managing Director, Data Management

This is the decade for data transformation. The key is to ensure that data is available for driving critical business decisions. The capabilities that an organization will absolutely need are:  Data as a product where teams can access the data instantly and securely  Data sovereignty where the governance policies and processes are well understood and […]

Managing Data Load and Migration for a Master Data Management (MDM) Project

January 17th, 2023 by Marc A.Paolo Sr Director, Client Success

Data load and migration are an integral and central part of any Master Data Management (MDM) implementation. Most MDM projects involve two types of data loads: Initial Data Load (IDL) Ongoing Data Loads (ODL) Data loads occur in various frequencies, which can include: One-time – often an IDL Batch Real time The method of the […]

Fresh Gravity Opens New Office in Kolkata, India.

Pune, India – Fresh Gravity announced today the opening of a new office in Kolkata. The decision to open a new office was driven by Fresh Gravity’s fast-paced growth and increase in employee strength across its geographies. Alongside their existing India offices located in Pune and Bengaluru, the Kolkata office will provide a home base […]

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Why You Need a Metadata-driven Data Integration Framework

In today’s world, IT Professionals and business stakeholders alike know that data is the most valuable asset for organizations. To manage that asset efficiently, organizations are adopting a modern data stack. Once they adopt the Modern Data Stack to democratize the creation, processing, and analysis of data, they need a reliable and efficient data integration […]

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