Most of us could stand to be a little better and do a little more -- and what a better time to think about how to make that happen than the dawn of a new year?
Needing a break from the taxing job of pulling together my personal New Year's resolutions, I started to think about ways in which analytics professionals could improve themselves for the year ahead. Here are a few quick ideas.
2. Liven up your data presentations. Static reports are out, dynamic data visualizations are in. As appropriate, do your best to present data visually. Better yet, give business users the opportunity to interact with the data visualizations you create. Being able to add in or take out variables, for example, will help them see, in an instant, what might happen in any what-if scenario they can imagine. You need to be an advocate for putting this type of power in decision makers' hands. Get guidance in these posts: Data Visualization Dos & Don'ts, 5 Tips to Help SMBs Get Visual With Data, and 4 Quick Tips for Data Visualization Newbies.
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.
InformationWeek Tech Digest, Nov. 10, 2014Just 30% of respondents to our new survey say their companies are very or extremely effective at identifying critical data and analyzing it to make decisions, down from 42% in 2013. What gives?