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Power BI: How it is Transforming Pharma Companies

Author: Ryan Williamson
by Ryan Williamson
Posted: Nov 25, 2022

Most of the companies in the healthcare industry today are flooded with loads of data. It is collected by manufacturers, research centers, and their systems. But that data becomes unused if organizations don’t know how to leverage that data to create growth. Advanced analytics platforms and software like Power BI support pharma companies to leverage every bite of data and empower each aspect of their business from the ground up.

Microsoft’s Power BI has secured significant interest from the pharmaceuticals industry but why? Well, that is because this nifty offering stands to positively transform how business is conducted, enhance customer experiences, and fortify all departments across the board with robust insights.

To help demonstrate Power BI’s might in the context of the Pharma industry, listed below are some of this tool’s key benefits:

  1. Financial analysis: The daily financial operations of any organization understandably generates an abundance of data and more so in Pharma companies. Unfortunately, what most companies in this industry may not realize is that financial analytics can also help cut down costs, streamline business processes, etc. So, with Power BI pharma companies stand to not only cut down operational costs but also better understand areas that necessitate investments, etc.
  2. Improving sales and operational efficiency: Sales, of course, is yet another crucial source of data in this sector. This, in turn, hints at a humongous opportunity for Pharma companies can quickly access and leverage vital insights about sales trends, market trends, etc. These insights can then be used by decision-makers to track their business’ sales figures, keep an eye on performance indicators, and better understand operational efficiency, etc.
  3. Better HR management: Human Resources play a critical role in ensuring the success of any organization and this holds for Pharma companies as well. But how can Power BI help regarding HR in a Pharma company? Well, pharmaceutical data analytics together with Power BI can help determine people that may be best-suited for a role, understand how to improve the recruitment process, identify reasons for high attrition rates, and so much more. To cut a long story short, Power BI in Pharma helps find, hire, and retain appropriate talent for a given role and organization.
  4. Supply chain: Data analytics based on the Pharma industry’s supply chain logistics, along with Power BI-driven visualizations, can help companies operating in this sector realize a world of benefits in the context of their supply chain, including better overall output, enhanced productivity of processes, etc.
  5. Manufacturing management: We don’t have to repeat how important data is in the context of Pharma, including manufacturing operations as well. In this regard, Power BI helps by offering 100 percent visibility into the manufacturing processes as well as the machinery used. This helps companies understand the optimal time required for various processes/machines, parts that can be automated, machines that need repair, how to minimize downtime, etc.

To ensure the success of Pharma companies in this day and age, simple strategies of the past do not cut it anymore. It has been for the world to see that technology as well as the ease with which companies now have access to an abundance of data, tools such as Power BI have become critical for achieving efficiency, enhanced productivity, optimizing processes, fortifying operational resiliency, and so much more. Besides the run of the mill analytical benefits, Power BI also helps Pharma companies via its countless advanced features and functionalities such as support for various data types, tailored visualization, etc. So, what are you waiting for? Go ahead and start looking for a trusted Power BI consulting services provider and see what this Microsoft offering can do for your business.

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Author: Ryan Williamson

Ryan Williamson

Member since: Dec 22, 2016
Published articles: 96

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