Oops! The input is malformed! Barry Devlin Articles - BeyeNETWORK UK


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How the Production Analytic Platform Will Evolve Driven by AI, IoT and Analytics Summary
This article is based on a podcast interview of Dr. Barry Devlin by Ron Powell. They discuss the production analytic platform and how it will evolve within enterprises.

Topics: Analytics

by Ron Powell | 0 comments
20-03-2018
An Integrated, Closed-Loop Decision Cycle Summary
In this podcast, conducted by Ron Powell, Dr. Barry Devlin explains why a process for decision making is an essential component of a production analytic platform.

Topics: Analytics, Business Intelligence

by Ron Powell | 0 comments
13-03-2018
The Complexities of Analyzing Time-Dependent Data Summary
This article is based on an interview with the the distinguished Dr. Barry Devlin, founder and principal of 9sight Consulting. and also considered one of the fathers of data warehousing. Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, conducted the interview. They discuss why the production analytic platform is the answer for handling the complexities of analyzing time-dependent data, especially from the Internet of Things.

Topics: Analytics

by Ron Powell | 0 comments
06-03-2018
Evolution of the Production Analytic Platform: Bridging the Informational Divide Summary
This article is based on an interview with Dr. Barry Devlin, founder and principal for 9sight Consulting. Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, conducted the interview. Barry and Ron discuss the evolution of the production analytic platform that will bridge the operational/informational divide that exists today. Ronís focus is on BI, analytics, big data and data warehousing.

Topics: Analytics, Business Intelligence, Data Warehousing

by Ron Powell | 0 comments
27-02-2018
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
29-01-2013
What are the Key Big Data Tools? Summary
In part 3 of his series on big data, Barry Devlin suggests that although the big data tools market is moving rapidly, you should move deliberately and with care when choosing a big data tool for your organization.

Topics: Business Intelligence, Data Warehousing, Analytics, Big data, Hadoop, NoSQL

by Barry Devlin | 0 comments
17-04-2012
What is the Importance and Value of Big Data? Summary
In part 2 of a series on big data, Barry Devlin discusses the various business circumstances in which big data can drive real value.

Topics: Analytics, Business Intelligence, Data Mining and Statistical Analysis, Data Warehousing, Big data

by Barry Devlin | 0 comments
12-01-2012
From Business Intelligence to Enterprise IT Architecture, Part 10 Summary
Barry Devlin concludes this 10-part series by providing three actions that can be taken now to prepare your business intelligence environment for the transition to the new world of Business Integrated Insight.

Topics: Business Intelligence, Data Marts, Data Warehousing, Architecture

by Barry Devlin | 0 comments
20-01-2011
From Business Intelligence to Enterprise IT Architecture, Part 9 Summary
In this article, part of a continuing series, Barry Devlin explores the practicalities of moving from today's business intelligence environment to the new world of business intelligence.

Topics: Business Intelligence, Architecture, ETL, Data Federation

by Barry Devlin | 0 comments
14-12-2010
From Business Intelligence to Enterprise IT Architecture, Part 8 Summary
This article, Part 8 of a continuing series, looks at the top layer of the Business Integrated Insight architecture. This layer, the Personal Action Domain, addresses the interaction of users within the process and information layers.

Topics: Business Intelligence, Data Warehousing

by Barry Devlin | 0 comments
03-11-2010
From Business Intelligence to Enterprise IT Architecture, Part 7 Summary
This article, Part 7 of an ongoing series, continues the discussion of the process layer of the Business Integrated Insight architecture, the Business Function Assembly.

Topics: Business Intelligence, Information Management, Data Warehousing, Architecture, Data Management

by Barry Devlin | 0 comments
05-10-2010
From Business Intelligence to Enterprise IT Architecture, Part 6 Summary
This article, Part 6 of a continuing series, describes the process layer of the Business Integrated Insight architecture and replaces each of 3 common myths with a modern premise.

Topics: Business Intelligence, Information Management, Data Warehousing, Architecture

by Barry Devlin | 0 comments
01-09-2010
From Business Intelligence to Enterprise IT Architecture, Part 5 Summary
This article, Part 5 of a continuing series, addresses another fundamental information management issue Ė the accuracy, consistency and timeliness of information as it travels from personal to enterprise usage and beyond.

Topics: Business Intelligence, Information Management, Data Warehousing, Architecture

by Barry Devlin | 0 comments
03-08-2010
From Business Intelligence to Enterprise IT Architecture, Part 4 Summary
This article, Part 4 of a continuing series, describes a modern approach to the business need for meaningful convergence of hard and soft information, which historically has been a challenge for data warehousing.

Topics: Business Intelligence, Data Warehousing, Architecture, Metadata, Unstructured Data, Analytics

by Barry Devlin | 0 comments
07-07-2010
From Business Intelligence to Enterprise IT Architecture, Part 3 Summary
This article, Part 3 of a continuing series, reveals some interesting possibilities for radically changing the way information is structured and stored across the breadth of the business.

Topics: Business Intelligence, Data Marts, Data Warehousing, Architecture

by Barry Devlin | 0 comments
08-06-2010

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