Big Data Analytics - Slide 6

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8
Next Big Data Analytics-6 Next

Many analytic computations are recursive in nature, which requires multiple passes through the database. Such computations are difficult to write in SQL and expensive to run in a database management system. Thus, today most analysts first run SQL queries to create a data set, which they download to another platform, and then run a procedural program written in Java, C, or some other language against the data set. Next, they often load the results of their analysis back into the original database.

This two-step process is time-consuming, expensive, and frustrating. Fortunately, techniques like MapReduce make it possible for business analysts, rather than IT professionals, to custom-code database functions that run in a parallel environment. With embedded functions, new analytical databases will accelerate the development and deployment of complex analytics against big data.

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

SAPSocialCollabSuccess0x 6 Strategies for Being Successful with Social Collaboration

Enterprise social collaboration solutions are most successful when they contribute to business value and benefits that address company goals. ...  More >>

IT_Man86-290x195 5 Criteria for Selecting the Best Enterprise Collaboration Tool

Chosen carefully, collaboration tools will save time, cut costs and reduce complications associated with storing and retrieving documents throughout a company's operations. ...  More >>

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 >>

Subscribe to our Newsletters

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