From hype to action getting what's needed from big data a
From Hype to Action:
Getting What’s Needed from
Big Data Analytics
Geeta Deodhar, VP Product Management
For every technology revolution, someone pays. Most often, it’s the “early adopter”
seeking to gain strategic advantage, but lacks the ability to manage the change of
process and protocol within their organization. Balancing the urgency of delivering
results against the hype for innovations, the realities of market adoption and time frame
to mainstream adoption is as difficult for struggling startups to deliver, as early adoption
to deployment is for innovators in larger companies.
Now that the Big Data has passed the top of the Gartner’s Big Data Hype Cycle, and
based on the amount of attention that big data technology are receiving, one might
think that adoption and deployment is already pervasive. The truth is, most companies
are still trying to get a handle on big data and are still struggling to find the products to
effectively manage it in order to get tangible business benefits.
There is, however, a significant shift happening. Big data, and the ensuing analytics
applications, are establishing a new norm for using data to report not only what has
happened but, predicting what may happen with a lot more accuracy. The new
generation of advanced, predictive analytics technology is now at the forefront of a
paradigm shift that will firmly establish ROI for those businesses able to integrate
developing technology into their networks. Companies that curate a data pipeline
workflow will be more effective than those who are slow to adopt.