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The Power of Insight!

How Metrics & Analytics are Accelerating Pharma Performance “Water, water everywhere and not a drop to drink.” This is what it must feel like day after day for pharmaceutical Medical Affairs teams, navigating oceans of endless scientific and medical data, and yet thirsting for a trickle of the right information, that relevant evidence or element…

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Big data’s big potential

As the ocean of data gathered from research studies, wearables and medtech continues to spiral, the pharma industry is faced with a conundrum: what data are actually relevant, how can we access them easily and how do we draw insights from them? Since the widespread adoption of the internet, and the advent of various new…

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Not all data is relevant

The pharma industry now has an incredible amount of data at its fingertips thanks to electronic medical records, social media, wearables, and more. But just having access to this data isn’t enough—marketers need a way to turn all of this unstructured information into actionable insights. Not only that, but they need to do it as…

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Measuring Medical Affairs Performance

You’re likely familiar with the concept of market share. If you are in the tractor business and if $100 million worth of tractors are sold each year and if you sell $10 million of those tractors, you have a 10% market share.   Knowing your market share is valuable information. But for all the value…

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Why Context Is Critical

We’re all familiar with the concept of “point in time” or “snapshot” data. This kind of information has value, primarily because it’s easier to produce and easier to digest. But, this convenience comes at the expense of context. Snapshot data by definition isn’t real-time data. But that’s not necessarily a problem. For most applications, real-time…

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Data Normalization

We have previously discussed the challenging process of disambiguation and its importance to developing a high value database that easily yields trustworthy and consistent results. Yet despite all the complexity and work involved in disambiguation, it only gets you part of the way to clean and useful data. The other critical process is called normalization. Normalization…

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How is Disambiguate Done?

Disambiguation is the process of looking for clues that will give you enough confidence to match records together from different sources. Rarely is one clue enough you give you sufficient confidence. Similarly, some clues are more important than others. This is why they are sometimes assigned numeric weights. Add the numeric weights together and you…

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What is Disambiguation?

The power of the Medmeme database comes in part from the large amount of data it has aggregated. It also comes from the proprietary data it has collected that is available nowhere else. Medmeme could have stopped there and had a valuable information product. There are many successful data companies whose primary value derives from…

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