Data transformation through assimilation, extraction, and governance
Companies spend considerable time and effort to make data ready for analysis. According to Gartner, more than 50% of the effort in any data science or reporting project is consumed by data engineering. This is because data is stored in siloed legacy systems, on local machines, or on social media support platforms.
Data engineering initiatives focus on data extraction, cleansing, integration, quality, and governance. Careful choice of technologies, as well as the right human skills, are needed to perform data engineering tasks.
At HGS Digital, we have a dedicated global data science and analytics practice with the right people, processes, prebuilt assets, and technology know-how to manage data and build meaningful reports.