Oh, the places you'll go! If Dr. Seuss were still writing today, he might have penned that hallowed phrase about business intelligence (BI) analytics. In relatively short order during the past several years, data collection and analysis have exploded as areas of focus in enterprise IT. "Data is the new oil," "Data is gold" -- the analogies could go on and on (and we bet Dr. Seuss could rustle up a few more).
And that's the thing about big data exploration and analytics -- the applications seemingly go on and on. Enterprises are turning to BI and analysis to solve business problems they didn't even know existed prior to the big data boom. There are challenges, sure, but there is also a promise of more targeted enterprise spending as a result of insights gleaned from data.
Is your organization on board with everything big data analytics has to offer? In this CIO Essential Guide, we explore the promise of analytics, examine how companies are making big data actionable and look at the trend toward mobile analytics for a roving field of employees. Plus, get our latest big data reports from the field in a collection of our Data Mill columns.
This Essential Guide on big data exploration and analytics is part of the CIO Briefings series, which is designed to give IT leaders strategic management and decision-making advice on timely topics.
The premise and promise of big data analytics
A number of big data buzzwords have entered into the business intelligence lexicon: text analytics, predictive analytics, prescriptive analytics and more. What do they mean for CIOs charged with taking this surfeit of information and making it actionable? In these pieces from SearchCIO, explore the various facets of big data analytics and develop a vision for your own BI program.
What programming language should every data scientist know? How should you train data scientists? Should there be more women on your team? McGraw-Hill Education's Alfred Essa has the answers. Continue Reading
It takes dedication to build a successful big data strategy. A CIO with imagination and who can work with the business doesn't hurt, either. Continue Reading
Business intelligence and analytics are seeing rapid adoption in 2014 as BI vendors confront and adapt to a changing market for their services. Continue Reading
BI gurus from Cisco, Caesars, Schneider and GE provide their view on how BI and analytics will evolve during the next two years. Continue Reading
Big data and analytics: Let's go to the videotape
In these videos, experts and practitioners alike sound off on the road to big data exploration and analytics success.
Daimler Trucks' CIO discusses how sensor data is connecting the dots between truck maintenance, drivers and the service station.
AIIM President John Mancini talks about the right way to experiment with big data and why the most valuable CIOs are also the most vulnerable.
At HoneyBaked Ham, IT and marketing VPs Bill Bolton and Mark O'Brien constantly refresh the IT agenda with offerings that improve customer service.
Michael Koukounas, analytics leader at Equifax Inc., on leveraging a data analytics strategy to improve operations and business outcomes.
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Getting down to business: Analytics in action
After settling on the right big data analytics program for their enterprise, it's time for CIOs to find out if the proof is in the pudding. How have enterprises made the most of their data gathering and exploration efforts? In these case studies and analysis pieces, SearchCIO provides the tricks and tools to get it done.
Prescriptive analytics holds the allure of not only identifying what might happen next but also providing the RX for improving those outcomes. Is it for real? Continue Reading
Organizations that are leading the way in prescriptive analytics are revolutionizing how work gets done. Learn the secrets to their success. Continue Reading
"It takes a village" is the thinking behind building a community cloud for cancer research and other members of the biomedical research community. Continue Reading
A retail startup with a bare-bones staff leaned on a cloud-based analytics platform to take the place of traditional IT arrangements. Continue Reading
All the analytics terms fit to print
Road trip: Going where no analytics have gone before
You seemingly can't walk down the street nowadays without contemplating the spread of big data analytics into our everyday lives -- and we're not just talking about those sporting wearable tech that records exercise activity to be analyzed later. Enterprises are hopping on the mobile analytics bandwagon as they endeavor to provide their smart device-happy workforce with the tools they need to provide fast, effective analysis wherever they may be. Learn more in these SearchCIO stories.
In-the-field decision making and analysis are two of the many benefits that make mobile analytics a worthy investment, but CIOs should also beware the challenges that await. Continue Reading
Organizations pursuing uses for wearable computing technology are producing and collecting a whole bunch of data. What should CIOs do to make that info actionable and secure? Continue Reading
Have you heard about SMAC? Learn how social media, mobile, analytics and cloud technologies have transformed business communications. Continue Reading
Sharpen your data analytics agenda
As big data multiplies by the hour, some organizations find it difficult to integrate and interpret that information in ways that lead to actionable business insight. Take this quiz and learn how to develop your data analytics exploration and analytics strategy.Take This Quiz
7The Data Mill-
Up-to-the-minute reports on data analytics strategy
Have you checked out the Data Mill, SearchCIO Senior News Writer Nicole Laskowski's weekly digest on all things big data and analytics? Read several of her columns below, covering the latest conferences, research and trends in BI, and search "#DataMill" on Twitter to find more.
A schism is developing between IT and the business on big data projects, the convergence of OLTP and OLAP and lighting as a service. Continue Reading
Analytics 3.0 makes an appearance, data is becoming a corporate asset and "hellabytes" make an appearance. Continue Reading
Predictive analytics necessitates asking crunchy questions, and data visualizations require smart, simple design. Continue Reading