How to use large datasets in the field

Posted by Jack Pendleton on data manager, datasets, Add-on

Large datasets, including ‘real-world data’ (RWD), add a new level of accuracy and relevance to customer engagements. Therefore, many in the life sciences industry are keen to employ large datasets in their presentations; however, doing so in an efficient, error-free, compliant manner requires the right tools.

In an attempt to utilize large datasets, it’s not uncommon for market access and field teams to copy-and-paste chunks of data from Excel into Powerpoint, ad-hoc for each account. This process is not only time-consuming, error-prone, and very risky from a compliance perspective, but also fails to harness the real power large datasets offer.

Data Manager’s unique solution

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BaseCase Data Manager allows you to perform dataset analysis quickly and easily without using complex databases, SQL or R. It also integrates seamlessly with the rest of the BaseCase platform, allowing you to to create powerful data-driven tools, without programming.

Data Manager is designed to let you:

  • Use datasets containing hundreds of thousands of rows in your apps.
  • Search and filter large datasets, as well as aggregate filtered data using standard Excel skills.
  • Connect UI elements on the presentation layer to dynamic data filters, allowing live calculations.
  • Link your dataset to interactive charts and graphs, just like any other BaseCase spreadsheet.
  • Update datasets quickly and easily, without requiring specialist knowledge of the app.

These features solve many of the key issues faced by those using large datasets in the field.

Swap error-prone processes for compliant content management

Publishing interactive, dataset-backed content through BaseCase reduces compliance risks. All your content contains a revision history, so it’s clear what version is available to field teams. And since BaseCase content is dynamic and interactive, one dataset-backed app can be tailored to each engagement. This means calculations and visualizations can be performed live on the latest data using customer inputs, delivering accurate, personalized results—no more ad-hoc copy-pasting. Following a presentation, highly relevant, data-rich, branded PDFs can then be auto-generated and shared, all from within the app.

Stay relevant, with regular ‘in-house’ updates

To maximise the relevance of large datasets, they must be up-to-date. Without BaseCase, updating a database can be a delicate job that is often reserved for specialists. Data Manager has been designed to allow for easy, in-house updates. Because there is a separation between the dataset and the presentation layer, updates can be performed without specialist knowledge of the app. When updating an app’s data layer with a matching dataset, all connections to the user interface are maintained. This means you can schedule updates as required and perform them without delay.

To find see Data Manager in action, request a demo:

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