data quality


Making data-driven decisions across the enterprise

February 6th, 2024 by Neha Sharma, Sr. Manager, Data Management

In today’s dynamic business landscape, organizations are increasingly recognizing and depending on the power of data in driving informed decision-making. We are witnessing a transition from decisions based on intuition to a more analytical approach, where data acts as the guiding compass for strategic choices and makes decisions that give a competitive advantage. This blog […]

Data and Databricks: Concept and Solution  

January 25th, 2024 by Saswata Nayak, Manager, Data Management

As we stand at the most crucial time of this decade which is believed to be the “Decade of Data”, let’s take a look at how this generation of data is going to live up to the hype it has created. Be it any field of life, most decisions we make today are based on […]

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 […]

Fresh Gravity Celebrates Nine Years of Success and Growth

We are thrilled to share that on April 8th we celebrated the ninth anniversary of Fresh Gravity’s founding. It’s an incredible milestone that wouldn’t have been possible without the hard work, dedication, and unwavering commitment of the Fresh Gravity family. We would also like to thank all our clients and partners for trusting us. Thank […]

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Data Engineering and Best Practices 

Data engineering is the backbone of any data-driven organization. It involves designing, constructing, and managing the infrastructure and systems needed to collect, store, process, and analyze large volumes of data and helps maintain the architecture that allows data to flow efficiently across systems. It serves as the foundation of the modern data ecosystem, enabling organizations […]

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