Three Reasons to Take Your MDM Solution to the Cloud

Posted by Bhargav Mantha on Mon, Oct 19, 2015

Data is the new lifeblood for life sciences. Organizations are leveraging all available data to improve account management and predict business outcomes, and transforming themselves to be more data-driven, proactive and informed.


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Data Analytics Give Oncology Products Competitive Edge

Posted by Maria Whitman on Tue, Mar 24, 2015

Recent launches have proven that having a great product isn’t enough. To succeed in the oncology market, pharmaceutical and biotech companies must be able to understand performance and opportunities, and explain the difference for increasingly specific patient populations. Data has come a long way, and integrated data analytics is a powerful way to surface and interpret an oncology product’s opportunity amid brutal competition.


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Oncology Company Overcomes Market’s High Hurdles With New Analytics Platform

Posted by Mahmood Majeed on Mon, Feb 16, 2015

With annual sales predicted to soon surpass $100 billion, oncology drugs represent a huge opportunity. The sales and marketing challenge, as the following case study reveals, is to understand consumer preferences and decision-making within the complexities of cancer treatment. Predictive analytics are essential.


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DQM Equilibrium: Striking the Right Balance Between Data Stewards and Data Automation

Posted by Abhijit Nimgaonkar on Tue, Oct 29, 2013

There’s no silver bullet for transforming data quality management (DQM) from problem into competitive advantage. But a structured approach that considers, among other things, the right combination of human judgment and automation will yield significant improvements that are sustainable over the long term.

The Data Explosion

Managing data has become a major struggle. The amount of data and number of vendors are exploding, and companies use data in complex ways in areas like advanced selling models, marketing and contracting analytics, and performance analysis.


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