Displaying 15–30 (of 2000)

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Title Popularity * Date
Deriving Business Value from Unstructured Nonrepetitive Data Summary
Concluding his series on gaining business value from corporate data, Bill Inmon looks at the different perspectives for viewing unstructured nonrepetitive data.

Topics: Information Management, Text Analytics

by Bill Inmon | 0 comments
Civic Education, Elections and Business Intelligence Summary
A large portion of American electorate is not actively participating in the election process in our country. Ramon Barquin urges all of us to get involved in a voter education project as we approach the midterm elections.

Topics: Business Intelligence

by Dr. Ramon Barquin | 0 comments
Characteristics of Corporate Data Types Summary
Bill Inmon discusses the ways to derive value from different types of corporate data.

Topics: Information Management, Unstructured Data, Data Management

by Bill Inmon | 0 comments
Self-Service Analytics Environment for Next-Generation Insights Delivery Summary
This article from Rathin Das explains why data scientists, who are highly data savvy, need self-service analytics environments rather than BI solutions to perform predictive analytics in a flexible, effective manner.

Topics: Analytics, Business Intelligence, Strategy, Business Analytics

by Rathin Das | 0 comments
Bitcoin: Money and Government in the Virtual World Summary
Bitcoin, a virtual currency, is currently not issued, controlled or regulated by any government. Ramon Barquin says that may be changing as virtual currencies gain popularity.

Topics: Business Intelligence

by Dr. Ramon Barquin | 0 comments
Want Social ROI? Time to Design a Virtual Social Loyalty Program Summary
With more and more people participating in social networks, they can be effective marketing differentiators if carefully planned and executed.

Topics: Analytics, Social Media

by Leslie Ament | 0 comments
Business Relevancy of Corporate Data Summary
Finding business value in corporate data requires an understanding of the different types of corporate data and their business relevancy. Bill Inmon tells us why.

Topics: Information Management, Data Management

by Bill Inmon | 0 comments
Data Modeling in the Big Data Age: A Q&A with Neil Buchwalter of ERwin Summary
Neil Buchwalter, senior principal product manager for ERwin, talks with Ron Powell, independent consultant/analyst and BeyeNETWORK expert, about data modeling and big data.

Topics: Information Management, Data Modeling and Design

by Ron Powell | 0 comments
Extracting Business Intelligence from Social Media Summary
Ashley Cruz and Ramon Barquin advise that creativity and innovation must be employed in order to obtain business intelligence from social media, particularly in countries that censor Internet data.

Topics: Business Intelligence

by Dr. Ramon Barquin, Ashley Cruz | 0 comments
Analytics: Detect the Expected – Discover the Unexpected Summary
Traditional business intelligence typically delivers answers to a set of known questions while data discovery and visual analytics focuses on drawing inferences and conclusions from data.

Topics: Analytics

by Soumendra Mohanty | 0 comments
Classification of Corporate Data Summary
Bill Inmon explains why it is critical to understand the types of data within a corporation in order to gain value from that data through analysis.

Topics: Information Management, Data Management

by Bill Inmon | 0 comments
Social Network Analysis, Metadata and Business Intelligence: Paul Revere’s Ride Revisited Summary
Dr. Barquin provides an interesting perspective on social network analysis by looking at Paul Revere's "connections."

Topics: Business Intelligence, Metadata, Social Media

by Dr. Ramon Barquin | 0 comments
Is Text Really Unstructured Data? Summary
Bill Inmon explains that although text is called unstructured data, text does have structure.

Topics: Data Warehousing, Unstructured Data

by Bill Inmon | 0 comments
Analyzing Search Summary
Ever wonder what online businesses can learn from your search activity? David Loshin looks at how this information can be analyzed over time to extrapolate your demographic details as well as your areas of interest.

Topics: Analytics, Search

by David Loshin | 0 comments
Are Big Data and Data Science Initiatives Cost Prohibitive? Summary
Are big data projects beyond the reach of all but the large enterprises? You may be surprised to learn that big data projects don't necessarily mean big expense.

Topics: Analytics, Big data

by Haranath Gnana | 0 comments

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