The pharmaceutical industry is one of the fastest-changing industries in the world today, and state-of-the-art pharma analytics tools can help you make the right decisions. Which drugs should we invest in? How can we streamline development? Which are our highest-risk markets? Tableau works with brands worldwide to inform pharma marketing analytics, pharma sales analytics, and as an analytics tool in high-throughput screening for drug discovery.
As high-throughput screening becomes increasingly crucial to efficient drug discovery, your team needs a tool to see and understand the results of an assay. Tableau can visualize assay output and result distribution in real-time, allowing your team to spend more time asking questions about clinical effectiveness and less time trying to make sense of thousands of rows of data. By visualizing the data, your team can identify and explore HTS hits immediately.
Tableau dashboards give assay quality control an at-a-glance solution, showing your team the z-primes of each plate and each test run, so they can quickly spot assay qualities below excellent.
Phama Industry Analysis
As new pharma markets emerge and expand, it's crucial that you make informed decisions about where to invest your capital and resources. Tableau allows all your business users to do on-the-fly analyses of pharma market growth, leveraging the most current sales and market data, and make business decisions quickly based on how well projections compare to goals.
In this example, a pharma company has empowered its employees to do what-if modeling based on projected growth of animal, human OTC and human Rx markets. Move the growth indicators on the upper-left side to see how different growth rates combine with historical performance to predict revenue, profit and demand across these segments.
The new pharmaceutical organization has marketing at its core, and there's a heightened strategic need to understand the entire commercial funnel. Physician marketing strategies are a crucial factor, and, with so many disparate sources of data, it can be difficult to see the whole picture and understand where you're over- and under-invested.
With Tableau, you can combine disparate data sources easily, pulling together information about physicians, prescriptions, sales, physician marketing strategies, geography and more to create a clear picture of what's working best.
This example blends a data set with physician prescription data with a data set about pharma marketing campaigns for a company with multiple product lines. You can easily see which types of pharma marketing campaigns each product line has launched in the past month and compare that data to when these doctors have written prescriptions, so you can see broad trends. The detailed information along the bottom lists each physician interaction, by campaign, and whether or not it was considered a success. You can use this part of the visualization to better understand physician-specific trends within the larger pharma marketing campaign strategies.
The world of pharma keeps getting bigger. There are many ways to diversify your portfolio of R&D, sales and marketing efforts. You need to know which products and services your market wants, and when and where they want them.
Should you increase your marketing spend in India? Or create new R&D resources for animal health? Is it important to offer additional training for your consumer healthcare programs in Ohio? How does your website impact physician behavior in Fort Lauderdale?
Understanding hyper-local supply, demand and growth patterns allows you to allocate resources efficiently – and to identify the emerging markets that make the most sense for your company, product, sales team and marketing funnel.
This visualization tracks the isolation of new H1N1 protein sequences across the globe during the 2009 pandemic. The top pane of the visualization allows users to see at a glance where sequences were isolated worldwide. The panes across the bottom help a user understand the timeline and detailed regional data, and even to drill down to specific accession numbers.