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
SEATTLE, WA, July 29, 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 clickstreams 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.
For a complete copy of the report or to ask questions of the author, members of the press should contact David Stodder at firstname.lastname@example.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 email@example.com.
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David Stodder, TDWI