Apple Watch

Vivametrica launches health data aggregation platform for fitness trackers, Apple Watch, Google Fit

Imagine a fitness tracker like a Fitbit, Up, or Misfit Shine on every person on the planet. Imagine all that data flowing up into an anonymized cloud-based platform. Imagine connecting that with health data from medical sensors. With location and altitude data from smartphones. With health information such as diseases we catch, conditions we develop, and accidents we encounter.

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Marketing Resource Management (MRM) may help campaigns bear fruit

Marketing resource management (MRM) software technology grafts on to a company’s entire marketing apparatus, coordinating programs and campaigns across multiple channels, along with all the assets and people involved. Gains for the marketing department include speed, control, efficiency and an improved return on investment.

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Building BI into your 2015 budget

Disorganization and chaos, scattered and large data sets. That’s often what gets companies thinking about investing in business intelligence (BI). Things like manual reporting in Excel, pulling from multiple data sources, and not being able to make sense of the data. Here’s a primer on how to go about making a BI investment.

Connected world

VB Webinar: Tom Davenport's Keys to Winning in the Analytics 3.0 World

The data bottleneck developing with Analytics 2.0 – or big data – is about to create a stranglehold. Tom Davenport, professor of Information Technology & Management at Babson College, shares insights on Analytics 3.0 – a new approach sophisticated organizations are now adopting that combines big and small data at both speed and scale.

Democratizing data science

“We’re democratizing data science,” explains Steve Dodson, CTO Prelert. “With the shortage of data scientists, we’re enabling end users to get these advanced statistical capabilities of anomaly detection in a consumable package.”

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Get ready. The second cloud front is dawning upon us

Beyond analyzing historical data and publishing benchmarks, future waves of SaaS companies will leverage data their systems have collected to build predictive business-process improvements directly into their applications.