Displaying 120–135 (of 2002)

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Title Popularity * Date
Big Data and Business Innovation Summary
This article explores the opportunities presented by big data now that large volumes of data can be processed on affordable commodity platforms.

Topics: Information Management, Business Intelligence, Data Warehousing, Analytics, Big data

by Krish Krishnan | 0 comments
How Analytics Beats the Human Mind Summary
Consumers' purchasing choices don't always match up with what they have indicated they would purchase. Analytics can help your organization figure out what your customers will actually do.

Topics: Analytics

by Piyanka Jain, CEO of Aryng | 0 comments
The Science, Technology, Engineering and Math (STEM) Crisis: What Should We Do? Summary
There is a "silent crisis" facing our country due to the lack of individuals trained in science, technology, engineering and math (STEM). Steps must be taken to ensure a workforce that is properly trained for the jobs in high demand such as data scientists, social media architects and augmented reality scientists.

Topics: Analytics

by Dr. Ramon Barquin, Wendy Henry | 0 comments
How to Make IT a Business Enabler Summary
In this concluding article of his two-part series, Richard Skriletz describes how IT departments need to be reinvented to meet the needs of the business.

Topics: Information Management

by Richard Skriletz | 0 comments
Enabling the Analytic Architecture Summary
William McKnight discusses the tools that are essential for a successful analytic architecture.

Topics: Analytics, Data Integration, Master Data Management (MDM), Data Governance, Data Virtualization

by William McKnight | 0 comments
The Changing Role of IT Summary
Bill Inmon looks at the evolution of technology and the role of the IT department.

Topics: Information Management

by Bill Inmon | 0 comments
Data Warehouse Construction: Generator or Operator? Summary
In this article, Bin Jiang explores the difference between compilers and interpreters or generators and operators from the software administration and operating perspective.

Topics: Data Warehousing, Metadata

by Bin Jiang, Ph.D. | 0 comments
Evaluating the Value of a Customer Summary
David Loshin offers tips for developing a customer valuation model to aid in determining customer lifetime value.

Topics: Analytics, CRM

by David Loshin | 0 comments
Data Science vs. Analytics? Summary
Piyanka Jain provides interesting insight into analytics in today's organizations, emphasizing that the insights gleaned through data science must drive business impact.

Topics: Analytics

by Piyanka Jain, CEO of Aryng | 0 comments
IT Innovation and the Budget Deficit: Some Thoughts for the New Administration* Summary
This article explores how analytics, innovation and technology can play a key role in reducing the government's identifying and deploying innovative IT solutions will enable agencies to bridge the funding gap while continuing to deliver mission-critical services.

Topics: Information Management

by Dr. Ramon Barquin, Lee Holcomb | 0 comments
The IT Education Department Summary
Bill Inmon looks at the role of corporate IT and technical education and discusses how that role has changed over the years as technology has advanced.

Topics: Information Management

by Bill Inmon | 0 comments
Data Warehouse Construction: Compiler, Interpreter and Operator Summary
Bin Jiang discusses metadata-drive generic operators as another possible option for centralizing generic knowledge.

Topics: Data Warehousing

by Bin Jiang, Ph.D. | 0 comments
Big Data Democracy for Big Data Analytics: A Q&A with Eldad Farkash and Bruno Aziza of SiSense Summary
In this Q&A, Ron Powell of the BeyeNETWORK talks with SiSense's Founder Eldad Farkash and Bruno Aziza, ice President of Worldwide Marketing. Eldad, Bruno and Ron discuss the realities and misconceptions about big data, and how they're working to be sure companies of any size can tackle the big data analytics challenges.

Topics: Analytics

by Ron Powell | 0 comments
Customer Value Analytics Driving Customer Centricity Summary
David Loshin discusses the development of a customer-centricity model and the importance of customer value analytics in determining each customer’s value over the life of their relationship in order to maximize profitability and minimize costs and risks.

Topics: Analytics, CRM

by David Loshin | 0 comments
With Big Data Out of the Box, Maintaining Order is a Must Summary
It is easy to foretell continued growth in big data investments nexxt year. But proper management and governance are needed to derive real business value from all that info. (This article was included in a recent issue of our BI Trends + Strategies e-zine.)

Topics: Business Intelligence, Unstructured Data, Analytics, Business Analytics, Big data

by Barry Devlin | 0 comments

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