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Most popular analyst reports, ebooks and white papers of 2014 so far

August 14, 2014
david-pittman's picture
by David Pittman
Social Media Strategist, Information & Analytics Group

Since big data is still relatively new technology, many of you are conducting research and seeking quality educational resources. That's apparent in this list of the 10 most popular analyst reports, ebooks and white papers. We are proud to offer such an extensive library (more than 40 items!) from top industry analysts and authors. Here are the ones you downloaded most.

  1. Understanding big data: ebook: Big data is going to change the way you do things in the future, how you gain insight, and make decisions (the change isn’t going to be a replacement, rather a synergy and extension). This book will help you get up to speed quickly on this technology and to show you the unique things IBM is doing to turn the freely available open source big data technology into a big data platform.
     
  2. The Forrester Wave: Big Data Hadoop Solutions, Q1 2014: In The Forrester Wave: Big Data Hadoop Solutions, Q1 2014, IBM is named a leader. According to the report, IBM brings "advanced analytics tools, a global presence and implementation services" that make BigInsights a "complete big data solution that will be attractive to many customers." Read the report to see how IBM InfoSphere BigInsights stands in relation to other big data Hadoop vendors.
     
  3. Whitepaper: Better business outcomes with IBM Big Data & Analytics: From more than 20,000 service engagements over the last five years, IBM has gained critical knowledge of how big data and analytics can improve outcomes for individuals, organizations in nearly every industry, and society. This paper explains how organizations are achieving better results.
     
  4. white paper report ebook graphic for davids top 10 first half 2014 post.jpgGartner Inc. Magic Quadrant for Data Masking Technology: Gartner reports that data masking should be mandatory for enterprises using copies of sensitive production data for application development, analytics or training. IBM InfoSphere Optim received the best ranking in the ability to execute and completeness of vision categories compared to competitors. 
     
  5. Analytics: The real-world use of big data: The Saïd Business School at the University of Oxford and the IBM Institute for Business Value (IBV) conducted this global survey of more than 1100 business and IT executives. The study highlights the phases of the big data journey, the objectives and challenges of organizations taking the journey, and the current state of the technology that they are using to drive results. BONUS: The IBM IBV is currently conducting a survey for the 2014 analytics report. Take that survey at ibm.co/AnalyticsStudy
     
  6. IBM readiness assessment for big data: Big data offers organizations new ways to use enterprise data to deepen business insights and extend competitive advantage. Yet many companies are unsure of where to start. Which big data projects will deliver the biggest and fastest returns with the smallest risk? How will big data fit into an existing technical environment?
     
  7. Ethics for big data and analytics: Big data and analytics technology can reap huge benefits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and its related technology, big data?
     
  8. Data-driven healthcare organizations use big data analytics for big gains: This paper discusses the value that data and analytics provide to healthcare organizations, and gives examples of organizations that are already leveraging a wide range of big data capabilities to deliver clinical and financial benefits. Readers will learn the steps that organizations should take to become data-driven.
     
  9. Big data analytics for communications service providers: Communications service providers (CSPs) that can ingest and analyze network, location and customer data in real time or near-real time have much to gain. This paper defines what big data analytics mean to CSPs, provides an overview of their most valuable uses in telecommunications, outlines what companies must look for as they adopt new big data analytics solutions and discusses how IBM can help.
     
  10. Tapping the power of big data for the oil and gas industry: Organizations in the petroleum industry are no strangers to large volumes of data. With the right technology solutions, these companies can move beyond traditional real-time monitoring to more agile real-time prediction. By rapidly analyzing incoming technical and business data—and applying that information to complex models in real time—they can generate tactical insights that help increase drilling and production performance while preventing problems.

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