Still Waters Run Deep: The Major Analytical Advantages of Data Lakes

八月 7, 2018/Jin Huang/Big Data

Companies today are drowning in data. The average company exceeds 50 percent per year in volume of data growth and has an average of 33 unique data sources — these are overwhelming amounts that make extracting analytical insights an arduous task. For those swamped with data that’s not being put to use, data lakes can provide immense value. Data lakes are storage systems that hold large volumes of raw, highly diverse data from many sources. Aside from providing internal benefits such as architecture flexibility and scalability, they make processing data quicker and more accurate, uncovering analytical insights that companies didn’t even realize before.

Aktana’s Machine Learning Method & Open Rate Results Published in PMSA Journal

Chief Science Officer Marc Cohen and the data science team at Aktana recently published their research in this area in The Journal of the Pharmaceutical Management Science Association, setting forth a successful machine learning approach for identifying message sequences that maximize open and click-through rates.

Key Takeaways from PharmaForce 2017

十月 11, 2017/Aktana/Big Data

PharmaForce is an annual conference uniquely focused on […]

More than Data: How Big Data Can Be More Human than Robot

八月 1, 2017/Derek Choy/Big Data

Big data can sound, and is, high-tech. If you’re a phar […]

Highlights from PMSA’s 2017 Annual Conference

五月 23, 2017/Marc Cohen/Big Data

The Pharmaceutical Management Science Association (PMSA […]

How Sunovion Improved Engagement with Aktana-Powered Veeva CRM Suggestions

十月 6, 2016/Clay Hausmann/Big Data

Getting more information at your sales reps’ fingertips […]

Big Data For Shorter Cycles

五月 6, 2013/Derek Choy/Big Data

The big data movement has arrived with widespread, real […]