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We have been using, saving and transmitting information for thousands of years. Today, we have unprecedented technology to create, manipulate and use data. So why are so many large enterprises struggling with information management. New technologies are rapidly coming to market, but lack of integration. With existing systems limits usefulness. The rate of data proliferation has caused scalability. Issues for many systems that were never designed to manage the sheer volumes of data. The early days of BI.

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information strategy: Home | informationstrategy.com Reviews
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We have been using, saving and transmitting information for thousands of years. Today, we have unprecedented technology to create, manipulate and use data. So why are so many large enterprises struggling with information management. New technologies are rapidly coming to market, but lack of integration. With existing systems limits usefulness. The rate of data proliferation has caused scalability. Issues for many systems that were never designed to manage the sheer volumes of data. The early days of BI.
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information strategy: Home | informationstrategy.com Reviews

https://informationstrategy.com

We have been using, saving and transmitting information for thousands of years. Today, we have unprecedented technology to create, manipulate and use data. So why are so many large enterprises struggling with information management. New technologies are rapidly coming to market, but lack of integration. With existing systems limits usefulness. The rate of data proliferation has caused scalability. Issues for many systems that were never designed to manage the sheer volumes of data. The early days of BI.

INTERNAL PAGES

informationstrategy.com informationstrategy.com
1

information strategy: Links

https://www.informationstrategy.com/links

Articles by John Bair. Achieving Data Quality through Master Data Management. Managing master data to improve data quality. Aligning BI with Business Strategy. Describes a Mission-Mapped Architecture process to align business intelligence strategy. Coordinating Domains of Responsibility to Attain Data Quality. Describes dimensions of enterprise data quality programs (requires TDWI membership to view). Data Profiling and Quality Monitoring. Data Warehousing Service-Level Agreements. You must be logged in.

2

Enterprise strategy

https://www.informationstrategy.com/2008/05/03/enterprise-strategy

Laquo; Architecture values. DW appliances versus clouds. May 3rd, 2008 Author: John Bair. Ideally, data across the enterprise should conform to a common information model. A model that supports current and planned business goals, and with the ability to gracefully adapt to meet future needs. In reality, the typical enterprise contains scores of information silos, independently built to support individual lines of business or business regions. The optimal information strategy:. Overcomes process, data and...

3

DW appliances versus clouds

https://www.informationstrategy.com/2008/05/04/dw-appliances-versus-the-cloud

Laquo; Enterprise strategy. DW appliances versus clouds. May 4th, 2008 Author: John Bair. In his article Analytic Databases Power BI Boom. This begs the question, though, if it’s the applications that mid-market customers will buy, why will they care what database is powering the application, and doesn’t this still sound a lot like plumbing? Not to say that more granular SaaS can’t work. In Persistent Storage for Amazon EC2. Werner Vogel from my alma mater, Amazon.com, announced that beta EC2 custome...

4

information strategy: About

https://www.informationstrategy.com/about

The Information Strategy website promotes information strategy and architecture methods and best practices. John has over 20 years experience building information management systems and is an inventor on 6 data management patents. John joined Knightsbridge from Amazon.com, where from 1999 to 2002, as Principal Engineer and Data Warehouse Architect, he created high performance scalable e-commerce business intelligence systems and information services. Visit John’s profile on LinkedIn. The early days of BI.

5

The early days of BI

https://www.informationstrategy.com/2008/04/14/the-evolution-of-business-intelligence

The early days of BI. April 14th, 2008 Author: John Bair. In the article The origins of today’s OLAP products. Nigel Pendse chronicles the history of OLAP (On-line Analytical Processing), tracing the ancestry of the technology as far back as 1962. Personally, my introduction to BI ( Business Intelligence. Technologies doesn’t go back quite as far. In the late 1980’s. Worked for a systems integrator, developing and supporting COBOL applications softw. Reporting tools and report development. A review of th...

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information strategy: Home

We have been using, saving and transmitting information for thousands of years. Today, we have unprecedented technology to create, manipulate and use data. So why are so many large enterprises struggling with information management. New technologies are rapidly coming to market, but lack of integration. With existing systems limits usefulness. The rate of data proliferation has caused scalability. Issues for many systems that were never designed to manage the sheer volumes of data. The early days of BI.

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Information Strategy

Creates effective business consulting, education and documentation solutions. We've been doing this since 1988. Feel free to browse our Service. Page for a better idea of the range and value of our services. Why do things go wrong? Why do things go right? Why are weather forecasts always wrong? Why are economic forecasts even worse? Enjoy this light hearted but serious look at the problems of managing and forecasting in an intrinsically uncertain world. Get your copy of Chaos and The Plan.

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Information Strategy

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