Seven data science lessons from an analytics expert
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. Read Now
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.
1Big 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.
AIIM: How to get big data off the hype curve
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. Watch Now
A data analytics strategy to improve business outcomes
Michael Koukounas, analytics leader at Equifax Inc., on leveraging a data analytics strategy to improve operations and business outcomes. Watch Now
2Getting 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.
3Road 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.
4Sharpen 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.
5Up-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.
Ward off bad analytics with semantic analysis
Big data and semantic analysis, virtual personal assistants for everyone and a series of IT resolutions highlight this report. Read Now
Analytics 3.0 and how to build better big data products
Analytics 3.0 makes an appearance, data is becoming a corporate asset and "hellabytes" make an appearance. Read Now
Ask 'crunchy' questions about your analytics program
Predictive analytics necessitates asking crunchy questions, and data visualizations require smart, simple design. Read Now
Don't tether your users to the same old apps
Businesses express an abiding love for Excel, struggle to integrate data, and see the rising role of data temps and big data royalties. Read Now
Predictive analytics: How much data is enough?
In this live report from Predictive Analytics World, learn when to call it quits with big data, how to do surgical marketing and the power behind a name. Read Now