Pharma Analytics

What is Power BI?

Power BI ¹ is a pharma data analytics platform that collects and aggregates data from multiple sources across your entire organization and converts them into easy to understand reports that can make your data prep easier and shorten your route to a successful implementation of changes. Using Power BI, you can easily design a tailored analytics dashboard with a 360-degrees view of the inner workings of your organization. The use of big data is no longer limited to any specific industry or to transforming only customer-facing functions, such as sales and marketing. However, a study by McKinsey & Company ² shows that most companies in pharma and in other industries have no clear path when it comes to utilizing the data.

Even some companies who have invested a huge amount of their company’s budget in innovation, advanced analytics, infrastructure, and talent have found an unclear ROI path during the evaluation period. Now, with the integration of smart Business Intelligence and Pharma Analytics platforms like Power BI and Azure Analytics, the Life Sciences and Pharma industries can easily harness the gigantic amounts of data that they produce to create real change within their organization and the industry.

So, how can you turn these amazing Pharma Analytics into actionable reports using Power BI?

Pharma analytics provides an easy and visual way to understand complex business processes at the push of a button, which in turn results in some pretty great benefits:

Improved clinical trials.
Better risk management.
Increased patient safety.
Enhanced collaboration.
To put it simply, it means that companies and their C-Suiters can fill a gap between the budget they spent and the ROI that they receive to stay viable and competitive in the growing market.

Analytics generated from raw data is used extensively in the marketing and sales departments to optimize sales force design and planning, territory management, and balance sales workloads. Using business intelligence helps pharmaceutical companies easily and quickly develop intelligent solutions to the innumerable challenges of the industry. To take full advantage of the power your data represents, it only takes 5 simple steps within the Power BI platform to develop actionable reports that will give you a clear idea of how to proceed.

Step 1: Connect To Your Data

The first, and most important step, to harness data is to simply connect to it. But, depending on the number and complexity of your data streams, that may be a process. Luckily, we’re here to help you outline which data sources to focus on and exactly how to import them into Power BI. Regardless of the location of your data, Power BI is so advanced that you can connect all of the data sources to a single dashboard. You can import and connect several different types of data streams and sources to your Power BI dashboard with a simple click. You can import data from various sources in Power BI by clicking My Workspace > Get Data. Your data sources can be from a single source or multiple sources.

You can even connect data from your desktop in the form of a CSV or Excel file or from services like:

Google Analytics
Marketo
Salesforce
Azure SQL Database
Azure SQL Data Warehouse
Spark on Azure HD Insight
SQL Server Analysis Services

Also, you can upload local excel file into the Power BI to get insights.
You just need to select the file that you want to analyze and then navigate to find you have saved the Excel workbooks.

Step 2: Filter Your Data

Filtering data is one of the crucial steps to create beautiful graphs charts and display analytics for immediate business use.
In the Power BI Desktop solution or web version, the Filters pane is displayed along with the report canvas on the righthand side. You might not be able to see the Filters pane, then just click on the ">" icon on the top-right to find the option. In your Power BI Desktop dashboard, you can specify the Data Category to indicate how the platform should treat these values when developing your visualization output. Microsoft Power BI Desktop is a very powerful tool where you don’t just upload the data, but it also pulls in relevant data such as the table and column names. This information helps you to format a relevant filter for creating a visualization chart.

In Power BI you can find four filters type:

Page filter that applies to all current the visuals having on the report page.
Another filter called the visual filter which applies to a single visual on a report page.
You can drill through a filter that applies to a single property in a report.
The last filter is Report - in the report, it applies to all pages.]

Step 3: Prep Your Data

The most important and time-consuming step to data visualization in Power BI is preparing your data. Proper data prep is likely to consume most of your time, but the advanced features in the solution actually lessen the timeframe. Features like the self-service Power Query functions much like Microsoft Excel characteristics and helps you transform and enrich your data right in the dashboard so you can spend less time making reports and more time implementing the things you learned. There are hundreds of data sources available in Power BI application and you can connect those for getting actionable insights. In the data preparation stage, you can select the data sources by clicking the File ribbon, then Get Data > More.

Step 4: Personalize Your Data

When it comes to personalizing or branding your data for eventual presentation, your custom reports can be developed with built-in formatting and layout tools, themes, and high-quality imagery. You can either describe your story by utilizing the drag and drop feature and approximately 85+ latest stock data visuals from Microsoft and its partners or design it on your own with the help of open-source custom visual framework of Power BI.

To learn more about all of P360’s innovative products, visit P360.com.