Big Data Analytics

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8
Previous Next

Click through for guidelines from TDWI and Aster Data for implementing big data analytics.

There are two major trends causing organizations to rethink the way they approach doing analytics.

Big data. First, data volumes are exploding. More than a decade ago, Wayne Eckerson, director of TDWI Research, participated in the formation of the Data Warehouse Terabyte Club, which highlighted the few leading-edge organizations whose data warehouses had reached or exceeded a terabyte in size. Today, the notion of a terabyte club seems quaint, as many organizations have blasted through that threshold. In fact, he contends, it is now time to start a petabyte club, since a handful of companies, including Internet businesses, banks, and telecommunications companies, have publicly announced that their data warehouses will soon exceed a petabyte of data.

Deep analytics. Second, organizations want to perform “deep analytics” on these massive data warehouses. Deep analytics ranges from statistics — such as moving averages, correlations, and regressions — to complex functions such as graph analysis, market basket analysis, and tokenization. In addition, many organizations are embracing predictive analytics by using advanced machine learning algorithms, such as neural networks and decision trees, to anticipate behavior and events. Whereas in the past, organizations may have applied these types of analytics to a subset of data, today they want to analyze every transaction. The reason: profits.

For Internet companies, the goal is to gain insight into how people use their websites so they can enhance visitor experiences and provide advertisers with more granular targeted advertising. Telecommunications companies want to mine millions of call detail records to better predict customer churn and profitability. Retailers want to analyze detailed transactions to better understand customer shopping patterns, forecast demand, optimize merchandising, and increase the lift of their promotions.

In all cases, there is an opportunity to cut costs, increase revenues, and gain a competitive advantage. Few industries today are immune to the siren song of analyzing big data.

This slideshow features a basic set of guidelines from TDWI and Aster Data for implementing big data analytics.

More Slideshows:


10 Tips for Making Websites Stickier Develop an effective strategy to keep customers engaged.

The Mobile Work Force Today Mobile employees carry an average of 2.68 mobile devices, including laptops, smartphones and increasingly tablets.


10 New Smartphones for Business New smartphones for today's business user.

 

Related Topics : Box.net, IT Management Automation, SharePoint, Facebook, T-Mobile

 
More Slideshows

ClickSoftwareEnterpriseAR0x 5 Ways Pokémon GO Is Driving Augmented Reality in the Enterprise

With the consumerization of AR, it appears the technology is finally within arm's reach for those savvy enterprises willing to reach out and grab it. ...  More >>

IT_Man79-190x128.jpg The Collaboration Conundrum: How to Enable Your Workforce

We need to recognize that collaboration does not come naturally to everyone and enabling professionals to work with others more effectively is not an easy task. ...  More >>

mobile86-290x195 10 Must-Have Apps for Your Small Business

Leveraging the right kinds of apps can make for a cohesive business ecosystem, valuable in increasing productivity, streamlining business processes, and instilling creativity overall. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.