TDWI Report Offers Seven Steps to Help Enterprises Apply Analytics with Big Data

New Checklist Report explores what enterprises can do to realize the greatest customer intelligence from big data and analytics.

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image of the 2014 TDWI Checklist Report on Advanced Analytics

TDWI Checklist Report // Applying Analytics with Big Data for Customer Intelligence: Seven Steps to Success

From Web click streams to machine data, new data sources can deliver what transaction data alone cannot: contextual insights from customer behavior across channels.

Seattle, WA (PRWEB) July 24, 2014

TDWI Research has released its newest Checklist Report, Applying Analytics with Big Data for Customer Intelligence: Seven Steps to Success. The report discusses how organizations cannot afford to be complacent about how well they know their customers, and that competitors adept at quickly turning data into knowledge will have a competitive advantage.

“Leading organizations are tapping both traditional and newer ‘big data’ resources to run advanced analytics programs to discover trends, patterns, and other insights,” writes David Stodder, author of the report. From Web click streams to machine data, new data sources can deliver what transaction data alone cannot: contextual insights from customer behavior across channels.

Stodder points out that big data is not exclusive to large organizations, and as a result, many enterprises today are expanding their customer data architectures to include cloud services, Hadoop, and pre-configured analytic appliances to handle the volume, velocity, and variety of big data.

Advanced analytics is essential for deriving maximum value from this data, and the Checklist Report shows enterprises steps to help them get the most from big data analytics.

Stodder explains why enterprises should develop a strategy for accessing and integrating customer data, and examines the importance of identifying relevant data sources and using the right data architecture. He explains why implementing predictive analytics can make an organization more effective and proactive by focusing on estimating outcomes or “targets” of interest. Predictive analytics can also be used to let the data speak—helping users explore the data to determine the right questions to ask.

The report also looks at:

  •     Why organizations should deploy advanced analytics to enable personalized marketing and customer engagement, such as one-to-one marketing and finer segmentation
  •     How leveraging big data analytics on social media data can give an organization a valuable, external perspective on their brands, operations, and strategies
  •     Reducing latency in analytics processing can improve real-time insight and the drive for real-time data capture and reporting
  •     The importance of data visualization and visual analysis for nontechnical users
Stodder also explains why enterprises should develop an architecture that balances flexibility with governance and includes the three elements of a balanced strategy.

This research was sponsored by Datawatch, SAS, Teradata, and Treasure Data.

Request a Copy of the Report

For a complete copy of the report or to ask questions of the author, members of the press should contact David Stodder at dstodder(at)tdwi(dot)org. The report is freely downloadable by the public at http://tdwi.org/research/2014/07/checklist-applying-analytics-with-big-data; a short registration is required for those downloading a TDWI report for the first time.

About the Author:

David Stodder is director of TDWI Research for business intelligence. He focuses on providing research-based insight and best practices for organizations implementing BI, analytics, performance management, data discovery, data visualization, and related technologies and methods. He is the author of TDWI Best Practices Reports on mobile BI and customer analytics in the age of social media, as well as TDWI Checklist Reports on data discovery and information management. He has chaired TDWI conferences on BI agility and big data analytics. Stodder has provided thought leadership on BI, information management, and IT management for over two decades. He has served as vice president and research director with Ventana Research, and he was the founding chief editor of Intelligent Enterprise where he served as editorial director for nine years. You can reach him at dstodder(at)tdwi(dot)org.

About TDWI:

TDWI, a division of 1105 Media, Inc., is the premier provider of in-depth, high-quality education and research in the business intelligence, data warehousing, and analytics industry. TDWI is dedicated to educating business and information technology professionals about the best practices, strategies, techniques, and tools required to successfully design, build, maintain, and enhance business intelligence and data warehousing solutions. TDWI also fosters the advancement of business intelligence and data warehousing research, and contributes to knowledge transfer and the professional development of its members. TDWI offers a worldwide membership program, five major educational conferences, topical educational seminars, role-based training, on-site courses, certification, solution provider partnerships, an awards program for best practices, live Webinars, resourceful publications, an in-depth research program, and a comprehensive website, tdwi.org. For more information, visit tdwi.org or follow us on Twitter @TDWI.

About 1105 Media:

1105 Media, Inc. is a leading provider of integrated information and media in targeted business-to-business markets, including specialized sectors of the information technology community; industrial health, safety, and compliance; security; environmental protection; and home healthcare. 1105's offerings span print and online magazines, journals, and newsletters; seminars, conferences, and trade shows; training courseware; and Web-based services. 1105 Media is based in Chatsworth, CA, with offices throughout the United States.

Media Contact:

David Stodder, TDWI
dstodder(at)tdwi(dot)org; 415.859.9933


Contact

  • David Stodder, TDWI Research Director for Business Intelligence
    TDWI
    415.859.9933
    Email
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