Pharmaceutical enterprises leverage information technology to exceed business targets. R&D for discovering a new drug is a very costly affair involving very high investments in human resources, costs of clinical trials and the prolonged time factor. Also, out of many leads under trial, only one or two can actually be converted successfully in viable drugs. Developing a drug thus requires tremendous amounts of data to be analysed from various clinical trial platforms like a variety of patients under different disease conditions spread across the globe. The number of parameters to be analysed is also more than anywhere else. A compound has to be tested for various chemical, physical as well as biological parameters like storage conditions, shelf life, side effects and adverse effects - to name a few - in a variety of testing environments. Also, obtaining approval from regulatory agencies has stricter parameters with very little margin for error than any other industry, requiring a powerful analysis of data without error.

Some of the areas where ElegantJ BI Solutions can be applied to pharmaceutical industry:

• Clinical data analysis - Clinical data analysis evaluates and streamline from large amount of information. Helps to see trends, irregularity, and risk during product development and launch.

• Marketing and Sales Analysis - Marketing and Sales Analysis enables to identify most profitable product and allocation of marketing funds. Helps to examine consumer behaviour in terms of prescription renewal and product purchases.

Other Analysis Areas:

• Product Pricing Analysis
• Financial analysis
• Operational analysis
• Regulatory Compliance

The Business Intelligence Advantage

• Latest status reports on the leads to make timely decisions on failing leads and concentrate efforts and resources on potential leads to advance to next stage.
• Control budget and allocate resources optimally over different projects.
• Monitor and analyse patient profiles for various parameters of drug efficacy.
• Scalability to handle complex and large number of data elements in different data schemes spread over a wider geographic distribution for risk recognition and trend analysis.
• Integrate statistical libraries.
• Monitor, analyse and provide key performance indicators on sales by product, region, distributor or sales representative in dashboards and personalised reports.
• Switch from spreadsheets to highly intelligent and informative dashboards and reports.
• Tracking system for monitoring R&D, dashboard presentation, detailed reporting for regulatory compliance and overview of latest market scenario.