When Data “Goes Dark”


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

Using Big Data to Create Big Change: How Nonprofits Can Leverage Data

Big data

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

Hadoop in 2017: Bigger, Better, Faster?


Hadoop will stand strong in 2017.

Hadoop not only lives in the big data cloud, it embodies the big data cloud. Owned by Apache, Hadoop turns 11 years old in 2017. This open source software provides distributed cloud storage and the ability to process large disparate datasets into actionable insight. Continue Reading

Big-Data-As-A-Service (BDaaS): Sparking the Next Big Data Evolution

Big data

BDaaS allows enterprise organizations to simplify deployment in the cloud.

2017 may finally be the year for Big Data as a Service (BDaaS). Businesses have been capturing data frantically, but, with a few exceptions, have failed to reap the full benefit of the data they’ve gathered. But there are two converging trends in 2017 that make us believe more enterprise organizations will finally leverage their big data to reap big rewards. Continue Reading

Without Data Visualization, Big Data is Just a Big Mess

Big dataSometimes you have to see it to believe it. In the world of big data, sometimes you have to see it to understand it. True data insight comes from turning overwhelming lines of raw material into comprehensive business analytics. Collating data and extrapolating it into a meaningful format can bridge gaps in understanding across your organization. Continue Reading