Gartner’s Three Vs Provide a Framework for Data Management in 2017
Harnessing big data for business intelligence is the new catalyst driving enterprise organizations. E-commerce, the IoT, and the increasing digitization of societies in countries around the world have driven this phenomenon. All this data has given rise to data warehouses, data lakes, and data marts as holding tanks for the intelligence we can now capture. Continue Reading
The Pareto Rule has yielded the floor to The Long Tail of Big Data.
Big data has emerged as the latest and greatest of tools for marketers seeking to leverage information to sell products. But as the amount of data captured has expanded, we’ve created “long tails” of information. This article explains how, in order to monetize all points of the long tail, low-cost, non-traditional marketing techniques must be utilized to reach a wider but smaller audience at all points of the tail. Continue Reading
Will machine learning tame big data?
The promise of big data is that it can be leveraged for big solutions across any industry. But Internet-connected devices capture so much data that we are virtually drowning — unable to cull the actionable insights we’re seeking. Can machine learning algorithms help us tame our data ocean? Continue Reading
What data is housed in the paper lying around your office? Paper documents, photos, video, or other corporate holdings are the next incremental step in incorporating all corporate data into comprehensive business analytics. Will 2017 be the year that we make use of the historical trends found in the non-digitized data in your enterprise? Let’s look at the phenomenon of what analysts call “dark data” and how it should be incorporated into your big data cloud. Continue Reading
Non-profits need big data to be more effective.
From the financial to the pharmaceutical, industries are leveraging big data to make a bigger impact. But what about the organizations that are less concerned about profit and more focused on changing the world? Here’s a look at how not-for-profits can step up their efforts by including more, and bigger, data. Continue Reading