Data visualization and pharmaceuticals

Using graph and timeline visualization to make sense of pharma data

The pharmaceutical data challenge

Science is the process of generating knowledge from data and information; so harnessing data visualization is a natural step for pharmaceutical scientists.

It’s good timing too. With tougher regulation and increased competition, good data analysis is more important than ever.

Data visualization cuts through noisy data to reveal the connections and patterns you need to see.

Data visualization, especially network visualization and timeline visualization, helps clinicians and analysts to join the dots in pharmaceutical data.

Let’s see how it helps them make better decisions more quickly.

Drug discovery

Bringing a new drug to market is expensive and laborious.

Researchers need to understand connections, between chemical and effect, agent and disease, or between a drug and a market opportunity. Once connections have been identified, companies can find a way to exploit them.

Network visualization makes it faster and easier to identify connections, revealing patterns, correlations, gaps and anomalies, and making research generally more cost efficient.

visualizing drug discovery data as a graph reveals new insights

Competitor analysis and market landscaping

The pharmaceutical industry is competitive, with thousands of patents registered each year. Understanding competitors, their intellectual property and product pipeline is essential for making the right product decisions.

Network visualization untangles connections between patents, classifications, assignees and inventors, giving a clear overview of the intellectual property landscape. This can be especially useful for merger and acquisition activity.

visualizing networks of patents

Enterprise knowledge graphs

Pharmaceuticals is a data-heavy industry.

Teams, often dispersed across multiple groups in different sites across several countries, require fast and easy access to the right data at the right time. This requires integrated data management systems, unhindered by data silos.

The ability to visualize the connection between research and results avoids effort duplication, identify gaps in understanding and generally ensure better decisions.

enterprise knowledge graphs for pharmaceuticals industry

Custom data visualization for Pharma

We work with research and pharmaceutical businesses worldwide, helping them to make sense of big data.



See the full picture

Interact with data from across the organization in a single chart. Our products’ flexible approach means you can overcome data silos and gain insight into information from multiple sources, giving you a clearer, more complete picture.



Visualization that scales

Our toolkits support data analysis at scale. Whether that means you’ve got a large and distributed team, or huge volumes of data to analyze, we’ve designed our products to scale-up to any size organization and operation.





Get answers faster

Discover more intuitive ways to understand your pharmaceutical data. Timeline and graph analysis tools reveal insight more effectively than other automated or manual processes, leading to richer insight, faster and better decisions.



Custom tools that work for you

Visualization tools, custom designed for your team and the data they need to understand, empower anyone to find insight in complex data. The result: insightful and straightforward tools that people want to use.

Want to try it for yourself?

KeyLines

Graph visualization for JavaScript developers

Code how you like and build link analysis apps that work with any stack.

Start a KeyLines trial


ReGraph

Graph visualization for React developers

Use a simple data-driven API to build customized graph visualization apps in React.

Start a ReGraph trial


KronoGraph

Timeline visualization for JavaScript or React developers

Design interactive timelines to explore patterns and unfolding events.

Start a KronoGraph trial


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