Business Intelligence
The overall objective of business intelligence (BI) solutions is to gather data from numerous enterprise systems - ERP, supply chain, HR, knowledge management, financials - and present a single "truth" of how your business is performing. BI gained traction in the enterprise as a strategic tool, but businesses are looking to extend BI into real-time decision-making with dashboards and other visual tools to empower line-of-business managers and employees to make the right call.
Articles
Big vs. Small BI: Which Set of Returns Is Right for Your Company?
The bad news about business intelligence: Intangible benefits will likely outweigh the tangible ones. The good news: BI's tangible benefits, such as the increased productivity gained by automating More >
Taking an All-or-Nothing Approach to SaaS
Interest in software-as-a-service appears to be growing in much of the world, with a recent Gartner survey showing that 77 percent of North American companies plan to increase their SaaS deployments More >
Business Analyst Role Changing to Fit Needs
Asking what a business analyst does seems like a pretty straightforward question, but it rarely yields a straightforward answer. Unlike many other IT jobs, companies often don't have clearly defined More >
Interviews
How to Measure the Cost of Data Quality Problems
Ted Friedman, vice president and distinguished analyst with Gartner’s Information Management team, recently hosted a webinar on improving data quality to support analytics.
More >Diving Deep into Big Data
Micro segmentation enables true one-to-one marketing.
More >Using Hadoop for BI, Better Data Warehousing Service-Level Agreements
Could Hadoop replace ETL? Not really and not yet, says James Markarian, Informatica’s CTO. In this Q&A with IT Business Edge’s Loraine Lawson, Markarian explains how Informatica’s customers are using Hadoop with ETL and data integration tools, as well as the company’s approach to developing new Hadoop tools.
More >Editor's Choice
Back to Basics: Objectives for Successful Cloud Adoption
You can rapidly deploy scalable applications in the cloud by leveraging the key features of flexibility, scalability and on-demand resources.
More >DCIM Entering the IT Mainstream
BlackBerry: We’re Back!
NetApp Takes an Enterprise-Class Approach to Mobile Computing
Five Reasons Why Postgres Has Reached a Tipping Point
Featured Blogs
Related IT Downloads
Sample Business Intelligence Contract
“Getting Innovation Right: How Leaders Leverage Inflection Points to Drive Success,” written by Seth Kahan, re...
'Connecting Organizational Silos' Excerpt
This excerpt from Chapter 8, “Social Media Analytics,” looks at basic measures that are typically used to anal...
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Resource centers
SOA
SOA uses interoperable services grouped around business processes to ease data integration
Data Warehousing
Data warehousing helps companies make sense of their operational data
Database Administration
Database administration involves many duties, including ensuring data integrity
