Essential Guide

Guide to big data analytics tools, trends and best practices

Experts share perspectives and identify best practices for big data analytics projects in this Essential Guide.

Introduction

By now, many companies have decided that big data is not just a buzzword, but a new fact of business life -- one that requires having strategies in place for managing large volumes of both structured and unstructured data. And with the reality of big data comes the challenge of analyzing it in a way that brings real business value. Business and IT leaders who started by addressing big data management issues are now looking to use big data analytics to identify trends, detect patterns and glean other valuable findings from the sea of information available to them.

It can be tempting to just go out and buy big data analytics software, thinking it will be the answer to your company's business needs. But big data analytics technologies on their own aren't sufficient to handle the task. Well-planned analytical processes and people with the talent and skills needed to leverage the technologies are essential to carry out an effective big data analytics initiative. Buying additional tools beyond an organization's existing business intelligence and analytics applications may not even be necessary depending on a project's particular business goals.

This Essential Guide consists of articles and videos that offer tips and practical advice on implementing successful big data analytics projects. Use the information resources collected here to learn about big data analytics best practices from experienced users and industry analysts -- from identifying business goals to selecting the best big data analytics tools for your organization's needs.

1Business benefits-

Real-world experiences with big data analytics tools

Selecting technology is just one step in the overall big data project planning and implementation picture. Experienced users say it's crucial to evaluate the potential business value that big data tools offer and to keep long-term objectives in mind as you move forward. The articles in this section highlight practical advice on using big data analytics tools, with insights from professionals in retail, healthcare, financial services and other industries.

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Companies opt for long view on managing big data projects

Learn how health system UPMC and financial services firm CIBC are adopting long-term strategies on their big data programs, buying tools as needed to support analytics applications. Continue Reading

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Look at the big picture prior to adopting big data tools

An executive from Time Warner Cable explains why it's important to evaluate how big data tools fit into larger business goals before deciding to adopt them. Continue Reading

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Grocery co-op looks to big data system to improve sales analysis

Allegiance Retail Services, a mid-Atlantic supermarket co-operative, is deploying a cloud-based big data platform in place of a homegrown system that fell short on analytics power. Continue Reading

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Clear heads, open eyes required on big data technology decisions

Users and analysts caution that companies shouldn't plunge into using Hadoop or other big data technologies before making sure they're a good fit for business needs. Continue Reading

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Food service company mines big data to reduce theft by workers

Compass Group Canada has started mining pools of big data to help identify ways to stop employee theft, which is a major cause of inventory loss at its food service locations. Continue Reading

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Careful data analysis vital to deriving value from big data projects

Big data projects must include a well-thought-out plan for analyzing the collected data in order to demonstrate value to business executives. Continue Reading

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Get big data analytics results with small sample sizes

Data analysts often can find useful information by examining only a small sample of available data, streamlining the big data analytics process. Continue Reading

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Carpet maker weaves together data sets to help optimize pricing

Shaw Industries had all the data it needed to track and analyze the pricing of its commercial carpeting, but integrating the information was a tall order. Continue Reading

2New developments-

Opportunities and evolution in big data analytics processes

As big data analytics tools and processes mature, organizations face additional challenges but can benefit from their own experiences, helpful discoveries by other users and analysts, and technology improvements. Big data environments are becoming a friendlier place for analytics because of upgraded platforms and a better understanding of big data analytics best practices. In this section, dig deeper into the evolving world of big data analytics.

Tip

To-do items for big data analytics project managers

Consultant Rick Sherman offers a checklist of recommended project management steps for getting big data analytics programs off to a good start. Continue Reading

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Made for each other: Big data and analytics

Big data analytics initiatives can pay big business dividends. But pitfalls can get in the way of their potential, so make sure your big data project is primed for success. Continue Reading

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New analytics needs call for additions to data warehouse architectures

Consultants Claudia Imhoff and Colin White outline an extended business intelligence and analytics architecture that can accommodate big data technologies. Continue Reading

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Experts tweet on best ways to inject big data skills into workforce

Big data experts Boris Evelson and Wayne Eckerson shared ideas for addressing the widespread lack of big data skills in a tweet jam hosted by SearchBusinessAnalytics. Continue Reading

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Hadoop 2's improved framework better supports data analytics uses

In the Hadoop 2 framework, resource and application management are separate, which facilitates analytics applications in big data environments. Continue Reading

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Access, analyze big data with the right SQL-on-Hadoop engine

It's important to carefully evaluate the differences between the growing number of query engines that access Hadoop data for analysis using SQL, says consultant Rick van der Lans. Continue Reading

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Marketers gain competitive edge with big data, data discovery tools

Marketers have a new world of opportunities thanks to big data, and data discovery tools can help them take advantage, according to Babson professor Tom Davenport. Continue Reading

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Track the maturity of your big data analytics program

The Data Warehousing Institute has created a Big Data Maturity Model that lets companies benchmark themselves on five specific dimensions of the big data management and analytics process. Continue Reading

3News Stories-

News and perspectives on big data analytics technologies

Big data has been getting lots of attention for what it can possibly reveal about customers, market trends, marketing programs, equipment performance and other business elements. For many IT decision makers, big data analytics tools and technologies are now a top priority. These stories highlight trends and perspectives in the rapidly expanding world of big data analytics.

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In-memory software offers possible big data analytics path

The faster analytics performance spurred by in-memory technology can help companies capitalize on big data, but there are barriers to be aware of. Continue Reading

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Marketing, advertising remain hotspots for big data analytics

Marketing and advertising are the sweet spots for big data, but those who serve up marketing insights and ad space will need to evolve to survive. Continue Reading

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Big data continues to expand from original roots

What is "big data" and why is the IT industry talking about it so much? IT pros offer insights into the origins of the popular and much-hyped phrase. Continue Reading

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PayPal data scientist looks beyond big data analytics 'limbo state'

PayPal's Mok Oh says big data analytics will have arrived when people like him aren't needed. Continue Reading

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Conference speaker: Big data analytics requires revolutionary approach

'Big data' analytics could fundamentally change how businesses operate, according to a keynote speaker at the SAS Analytics conference. Continue Reading

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Hadoop and big data technology: Benefits versus pitfalls

Hadoop and its variants offer analysis for “big data” sets, but there are integration and availability limits, according to a panel at the Enzee Universe 2011 conference. Continue Reading

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Privacy policies essential for data mining in big data era

The U.S. Supreme Court’s ruling on its first data mining case raises questions on advanced analytics practices and policies, especially in the era of “big data.” Continue Reading

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The future of big data: Analytics

Usama Fayyad, a featured speaker at Netezza's Enzee Universe user conference, came armed with information on how the future of "big data" lies in analytics. Continue Reading

4Best Practices-

Best practices for implementing big data analytics projects

The stories in this section offer a closer look at what makes big data analytics work -- and what doesn't. Experts share best-practices advice for managing successful big data analytics programs, with tips for identifying business goals, selecting software, using existing resources and avoiding potential mistakes.

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Data-driven decision making must be part of big data mix

C-level execs need to rely more on data and less on instincts to capitalize on big data technology, said speakers at the 2013 MIT Sloan CIO Symposium. Continue Reading

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Strong foundation required for in-memory analytics on big data

Using in-memory tools to analyze pools of big data raises system design, scalability and data integration issues that must be addressed up front. Continue Reading

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Gartner's to-do list for unlocking big data's business value

A breakthrough like big data comes around only once in a blue moon. Here's what business executives need to do to capitalize on it. Continue Reading

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Tech, business savvy both needed on big data analytics programs

Consultant Rick Sherman details the skill sets and roles that he thinks are vital to the success of "big data" analytics initiatives. Technical skills alone aren't enough, he says. Continue Reading

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Worst practices: What to avoid in big data analytics initiatives

Consultant Rick Sherman details the biggest mistakes to avoid in planning and managing deployments of "big data" analytics tools, from focusing on the technology to overselling projects. Continue Reading

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Initiating a big data analytics project: Five steps to take

Choosing the right technology is only half the startup battle on "big data" analytics. Get a list of deployment tips from consultant Lyndsay Wise to help set your organization on the right path. Continue Reading

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Turning talk into action on big data analytics projects

Putting an effective "big data" analytics plan in place can be a challenging proposition. Consultant Lyndsay Wise offers her advice on what to consider and how to get started. Continue Reading

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Build on familiar disciplines for big data analytics best practices

The terrain may seem foreign, but many proven data management and business intelligence best practices translate well to big data analytics programs, according to analysts. Continue Reading

5Videos-

Big data analytics videos

Consultants and experienced users discuss big data analytics technologies and trends in the following videos. Speakers include Colin White, president and founder of BI Research; William McKnight, president of McKnight Consulting Group; and Wayne Eckerson, director of TechTarget's BI Leadership Research unit.

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Shifting the conversation from big data management to analytics

Industry analyst Colin White is tired of all the talk about the three V's of "big data." He instead wants to focus on the use cases -- the analytics -- of big data.

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Big data analytics helps trucking company track its fleet

In a video Q&A, Timothy Leonard of U.S. Xpress explains how the trucking company uses big data analytics, real-time BI software and mobile BI apps in unison to make important business decisions.

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Getting started with big data analytics

In a video interview, consultant William McKnight provides an explanation of "big data" basics: what big data is and the issues that are involved in managing and analyzing it.

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Big data analytics combines mix of old, new technologies

In a video interview, business intelligence analyst Wayne Eckerson offers tips on using big data analytics software and related big data technology. He also gives his view of what big data really is.

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Is there something real behind the big data analytics hype?

Is there real value to be gained by analyzing "big data"? And what challenges does big data present to organizations? Consultant Jill Dyche answers those questions and more in a video interview.

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Tips for effective management of analytics programs

Successful analytics managers mix business blue and IT red skills, TechTarget's Wayne Eckerson says in discussing his new book on analytical leaders.

6Glossary-

Important terms related to big data analytics

Read the definitions below to learn more about commonly used terms related to big data and the distinctions among them.

7Quiz-

Big data analytics quiz

Take this brief quiz to test what you've learned about big data analytics best practices.

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