Product review of Composite Information Server.

BI must assist the consumers, businesses, employees and decision-makers inside and outside organizational walls. Rich Internet applications are the key to doing this well.

Evolving business and technology environments bring a host of challenging business issues for the data center. This article discusses some of these challenges and suggests how to mitigate them.

Turkcell enriches reporting environment with a CRM-SFA solution.

A key business process series in a successful business performance management system is planning, budgeting and forecasting.

Product review of Dundas Chart.

DM Review strives to bring you the latest information regarding trends in business intelligence and information management, and this issue is no exception.

Five iterative phases of a data-centric service-oriented architecture transition that have become a best practice.

Product review of Tableau Desktop.

Product review of IBM Cognos BI Dashboards.

Portfolio intelligence guides and accelerates organizational work at NWEA.

In case you haven’t noticed, the Internet has fundamentally changed how people gather information. This has affected business marketers in particular.

The flip side of cloning the source systems is cloning the tables or files used to generate reports or perform analysis. This is the classic trap that people designing a business intelligence system fall into when they are spoke myopic.

This month, I’ll discuss how data quality issues occur and how your organization can begin to identify and address them.

This month, I will highlight some of the more unique BI opportunities inherent in large technology or consulting organizations and discuss some of the challenges to implementation that these organizations face.

Vertica CEO Ralph Breslauer takes analytic databases into the new world of hosted data infrastructure.

One of the most important tasks for effective information management is setting up the business governance over the program and the projects.

In this month’s column, I’ll continue with this example and explore how to implement analytic capabilities to explore “why” in a real data warehouse/business intelligence system.

I believe it’s technically possible to manage data successfully across the enterprise, but it’s also exceedingly difficult.

Please define “canonical data model” and give an example.

It always amazes me how simple things in real life match the complex inner workings of marketing strategy, closed loop marketing and customer intelligence.

Technical issues tend, quite naturally, to be the focus of attention for data professionals, but those who call themselves “professionals” have a responsibility to pause occasionally and reflect on the wider impact of their profession.

Successful data migrations share a number of common characteristics. Each of these rules ultimately helps better meet changing business requirements.

Every time I open my email or glance at my hard drive’s “my documents” folder, I’m reminded that information is increasingly easier to capture, create and distribute, yet harder and harder to find, organize and manage.

One of the most important tasks for effective information management is setting up the business governance over the program and the projects.

This month, I will highlight some of the more unique BI opportunities inherent in large technology or consulting organizations and discuss some of the challenges to implementation that these organizations face.

The flip side of cloning the source systems is cloning the tables or files used to generate reports or perform analysis. This is the classic trap that people designing a business intelligence system fall into when they are spoke myopic.

This month, I’ll discuss how data quality issues occur and how your organization can begin to identify and address them.

In this month’s column, I’ll continue with this example and explore how to implement analytic capabilities to explore “why” in a real data warehouse/business intelligence system.

I believe it’s technically possible to manage data successfully across the enterprise, but it’s also exceedingly difficult.

Technical issues tend, quite naturally, to be the focus of attention for data professionals, but those who call themselves “professionals” have a responsibility to pause occasionally and reflect on the wider impact of their profession.

It always amazes me how simple things in real life match the complex inner workings of marketing strategy, closed loop marketing and customer intelligence.

Please define “canonical data model” and give an example.

In case you haven’t noticed, the Internet has fundamentally changed how people gather information. This has affected business marketers in particular.

Portfolio intelligence guides and accelerates organizational work at NWEA.

Turkcell enriches reporting environment with a CRM-SFA solution.

A Recent survey among members of the International DB2 Users Group (IDUG) finds that many data managers and professionals are expanding their range of expertise to provide higher-level services to enterprises.

DM Review strives to bring you the latest information regarding trends in business intelligence and information management, and this issue is no exception.

Vertica CEO Ralph Breslauer takes analytic databases into the new world of hosted data infrastructure.

Successful data migrations share a number of common characteristics. Each of these rules ultimately helps better meet changing business requirements.

Evolving business and technology environments bring a host of challenging business issues for the data center. This article discusses some of these challenges and suggests how to mitigate them.

BI must assist the consumers, businesses, employees and decision-makers inside and outside organizational walls. Rich Internet applications are the key to doing this well.

A key business process series in a successful business performance management system is planning, budgeting and forecasting.

Five iterative phases of a data-centric service-oriented architecture transition that have become a best practice.

Every time I open my email or glance at my hard drive’s “my documents” folder, I’m reminded that information is increasingly easier to capture, create and distribute, yet harder and harder to find, organize and manage.

Product review of Composite Information Server.

Product review of Dundas Chart.

Product review of IBM Cognos BI Dashboards.

Product review of Tableau Desktop.