2002 — May
Deriving Business Value from Unstructured Nonrepetitive Data [Published: 07-10-2014]
Concluding his series on gaining business value from corporate data, Bill Inmon looks at the different perspectives for viewing unstructured nonrepetitive data.
Civic Education, Elections and Business Intelligence [Published: 06-24-2014]
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.
Characteristics of Corporate Data Types [Published: 06-05-2014]
Bill Inmon discusses the ways to derive value from different types of corporate data.
Self-Service Analytics Environment for Next-Generation Insights Delivery [Published: 05-30-2014]
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.
Bitcoin: Money and Government in the Virtual World [Published: 05-20-2014]
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.
Want Social ROI? Time to Design a Virtual Social Loyalty Program [Published: 05-07-2014]
With more and more people participating in social networks, they can be effective marketing differentiators if carefully planned and executed.
Business Relevancy of Corporate Data [Published: 05-01-2014]
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.
Big Data and Data Modeling with ERwin [Published: 04-28-2014]
Ron Powell,independent consultant/analyst and BeyeNETWORK expert, talks with Neil Buchwalter about ERwin's latest release, particularly the metadata exchange bridges that go out to big data sources, which are primarily managed in Apache Hadoop Hive and Google BigQuery, and bring that information into ERwin.
Data Modeling in the Big Data Age: A Q&A with Neil Buchwalter of ERwin [Published: 04-24-2014]
Neil Buchwalter, senior principal product manager for ERwin, talks with Ron Powell, independent consultant/analyst and BeyeNETWORK expert, about data modeling and big data.
Extracting Business Intelligence from Social Media [Published: 04-22-2014]
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.
Analytics: Detect the Expected – Discover the Unexpected [Published: 04-04-2014]
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.
Classification of Corporate Data [Published: 04-03-2014]
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.
Social Network Analysis, Metadata and Business Intelligence: Paul Revere’s Ride Revisited [Published: 03-18-2014]
Dr. Barquin provides an interesting perspective on social network analysis by looking at Paul Revere's "connections."
Is Text Really Unstructured Data? [Published: 03-06-2014]
Bill Inmon explains that although text is called unstructured data, text does have structure.
Analyzing Search [Published: 02-27-2014]
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.
Are Big Data and Data Science Initiatives Cost Prohibitive? [Published: 02-26-2014]
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.
Kimball versus Inmon Approach [Published: 02-18-2014]
Data warehousing approaches fall into two major camps: Inmon or Kimball. Deborah Arline compares the two approaches.
The Evolving Modern Data Warehouse [Published: 02-18-2014]
How is data warehousing changing in order to meet modern business requirements and realities? Timur Mehmedbasic explains the evolution and how organizations are addressing the rapidly increasing data volumes as well as the growing variety of data types.
Building a Data Warehouse with a Limited Budget [Published: 02-14-2014]
Ron Powell, independent consultant/analyst and BeyeNETWORK expert, talks with Sharon Odom and Su Rayburn of Delta Community Credit Union about how they built a second-generation data warehouse with WhereScape.
The Olympics Again: At What Price this Time? [Published: 02-10-2014]
Dr. Barquin looks at the good, the bad and the ugly of the current Olympics in Sochi, Russia.