Solution Set

Business Intelligence (BI) has changed in the last ten years. Learn what's new and what could make your BI platform more successful.

Note

Info-Tech recently conducted several surveys for our research projects. This document is a high level summary of those results, and an introduction to the resulting research.

Note

A data warehouse (DW) aggregates and stores enterprise-wide information. The DW is an on-going, business-centric program that aims to enable better decision making and improved access to data. Building a DW can be invaluable, but it requires a...

Solution Set

Successful warehousing strategies start with business focused requirements, the right team and a sound project plan.

Video

This video provides an overview of data warehousing (DW) and how it can help your organization. The DW is an on-going, business-centric program that aims to enable better decision-making and improved access to data. Building a DW can be...

Tool

Building a data warehouse (DW) can be an extremely valuable project; however, it requires considerable up-front investment and is often fraught with risks. Is your organization ready to successfully go ahead with implementing a DW? This...

Template/Policy

Successfully implementing a data warehouse (DW) requires world-class project management skills, and a clear focus on final deliverables. Leverage Info-Tech's business plan as a starting point for planning your DW build.

Enterprises generate a great deal of useless data in the name of Business Intelligence (BI). Business and IT decision makers need to establish the strategic intent behind BI before even considering tool adoption.

Organizations are beginning to appreciate that their databases are a rich source of untapped information. In an effort to commoditize their data, more enterprises are leveraging data mining technologies. Strike it rich by turning enterprise data...

Three years in the making, the latest edition of MicroStrategy's business intelligence (BI) platform has been released. MicroStrategy 9 aims to encourage enterprise-wide deployments by simplifying BI project development with self-serve capabilities.

Managing multiple enterprise data sources is painful, especially when they contain conflicting or incomplete information. Steps must be taken to reconcile the data sources and establish a master data set for reporting and analytics. To gain...

Data integration plays a vital role in an enterprise Service-Oriented Architecture (SOA) strategy. Understand the value and importance of data integration to the creation of data services and how upfront planning can help maximize SOA benefits...

Exploding enterprise data is driving interest in Business Intelligence (BI) software. IT managers planning BI projects must consider project drivers, costs, timelines, and implementation concerns.

Impact Research

Today's business decision-making is increasingly dependent on Business Intelligence systems. Use this report to learn and apply best practices in designing, deploying, and managing a BI system effectively.

Many enterprise decision makers are hesitant to even consider a BI initiative because of the anticipated cost. Here are four ways to implement BI technology without breaking the bank.

Extract Transform and Load (ETL) is the most popular approach for loading data in a Data Warehouse (DW). As the DW becomes more entrenched in the business and more data is loaded, load times continue to get longer. With DW technologies becoming...

Job Description

The Business Intelligence Specialist's role is to strategically design and implement BI software and systems, including integration with databases and data warehouses. This includes selecting, blueprinting, gathering requirements, designing, and...