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Data Digest: Data Analytics and Genetics, Self-Service Adoption, and Avoiding the IoT Data Flood

How analytics is helping Celgene eliminate waste and deliver the right drugs to the right patients. Plus the key to encouraging self-service analytics adoption, and how to manage the flood of data after connecting to the Internet of things.

Solving Genetic Variation with Data Analytics
(Source: Xconomy)

Due to genetic variation among patients, doctors are forced to waste money figuring out which drugs are most effective for a particular patient. Celgene is trying to avoid this problem by using data analytics to get the correct medicine to the right patient on the first try.

A Key to Enterprisewide Self-Service Analytics Adoption: Start Small and Customize
(Source: Tech Target)

Usually, the hardest part after buying self-service analytic tools comes after installing the software. Adoption across an enterprise is difficult, which is why, right now, BI teams are attempting to design their tools specifically for adoption across an enterprise.

Avoiding the Data Flood from Connecting to the IoT
(Source: Tech Crunch)

Three quarters of executives said in a recent study that IoT initiatives have been undertaken in their companies.  However, without investing in the right areas of the IoT, enterprises are likely to be overwhelmed by the amount of data they will receive. This article offers three ways to make sure you know how much to invest in the IoT.

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Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at

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