| Monday, November 19, 2012 | |  | | Doug Henschen | | | | | Five years ago, companies were standardizing on one or a couple of business intelligence products. Broad interest in advanced analytics, especially the predictive kind, was just emerging.
Today, companies in new industries are experimenting with and using analytics, and veteran users are going for new levels of sophistication, according to our new InformationWeek Analytics, Business Intelligence and Information Management Survey. Companies are embracing analytics to optimize operations, identify risks and spot new business opportunities, and there's big interest in using big data to drive more accurate predictions.
It's no surprise that respondents demonstrated a high level of interest in advanced analytics and big data, because the two trends are interrelated. Our respondents say they're embracing advanced analytics to proactively optimize business operations, identify risks, and spot new business opportunities. They can't do this by simply reporting on what happened yesterday, last week, or last month. Instead, they're applying sophisticated algorithms to historical data to see what's coming.
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Doug Henschen
Executive Editor, InformationWeek | |  | | JOIN THE CONVERSATION Posted By Carla Gentry: "Here, here! I am so sick of data science being a buzz word. I've been doing this for over 15 years, but someone who can open Excel is just as talented as me? I don't think so! Go ahead and hire the guru, waste your time and money, but if you really want talent, look for the ones with contactable reference on LinkedIn--example, I'm datanerd13 on LinkedIn. If they have a similar or better background, hire them, not the guru with no true talent. Thanks for writing!"
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 | | COMMENTARY REPORTS & WHITEPAPERS FEATURED REPORTS Research: 2013 Analytics & Info Management Trends Predictive analysis is faster, more accurate, and more accessible than ever before. And now, combined with big data, it's driving a new age of experimentation. The University of Kentucky and Taylor University are among the new users of advanced analytics. Both schools are using predictive modeling to improve student retention, and their work offers lessons for any business trying to minimize customer churn. Insurers UnitedHealth Group and Allstate are old hands at advanced analytics, but that doesn't mean they're resting on past achievements. In addition to these use cases, this report explores how emerging techniques, including in-database analysis, text mining, and crowdsourced competitions, are yielding breakthrough results. Download Now (Registration Required)
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|  | | | FEATURED WHITEPAPERS Making Big Data Fast And Easy: Creating Context Across Multiple Data Sources Although big data promises huge insight, the truth is, many companies are struggling to realize the benefits due to the difficulty in integrating data from multiple silos. This research paper examines how to create contextual big data and how to simplify the analytics process for business users without needing to go to IT every time a new study begins. Pros and cons of multiple methods for big data analytics are analyzed and recommendations for getting started are provided.
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