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How Data Quality Management Is a Key Growth Asset for Pharmaceutical Companies


Data analytics has transformed pharmaceutical sales and marketing, but with companies wrestling with a myriad of information types and sources, data quality has become an enormous problem. That has made data quality management (DQM), the process of ensuring data is accurate before it gets into the system, imperative for sales and marketing operations.

Why Data Quality Management Has Become Essential to the Pharmaceutical Industry


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ZS Principal Abhijit Nimgaonkar outlines the difficulty of data quality management in a new video, showing the real-life consequences of inferior DQM. He also talks about how balancing automation and manual processes can help companies get their DQM in order.


Case Study: Strengthening Sales and Cutting Costs Through Data Quality Management


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Another video, chronicling a ZS client engagement, shows how combining the right mix of automation and human judgment helped solve a pharmaceutical company’s data quality issues, which Abhijit says “were causing a lot of rework, effort and pain.” Learn how this company saw data issues shrink and rework fall 15%.


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