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Business intelligence (BI) has been referred to as the process of making better decisions through the use of people, processes, data and related tools and methodologies. The roots of business intelligence are found in relational databases, data warehouses and data marts that help organize historical information in the hands of business analysts to generate reporting that informs executives and senior departmental managers of strategic and tactical trends and opportunities. In recent years, business intelligence has also come to rely on near real-time operational data found in systems including enterprise resource planning (ERP), customer relationship management (CRM), supply chain, marketing and other databases. Operational BI is meant to provision many more functions in the organization with role-specific dashboards and scorecards and is increasingly tied to the topics of performance management and business process management. Inherent to any form of BI is the notion of data quality, consistent and dependable data and the processes involved in its creation and maintenance.
Articles
How Smart is Real-Time BI?
Real-time business intelligence is crucial to survive in this competitive world. It is important to understand the new challenges that must be addressed
How to Make the Case for a BI Center of Excellence
Refocus stakeholders' attention on business intelligence with clear rules of engagement and quantified value
BI and Identity Management Provide Transparency for Risk Management
An access and identity governance layer has emerged to address enterprise needs for greater transparency, visibility and business controls
BI for the Front Lines
Extending SaaS business intelligence beyond the executive suite
The Evolution and Future of Business Intelligence
Discussing the evolution of business intelligence can be confusing due to terminology and ambiguous buzz words
Columns
Data Quality for Operational BI
Operational BI can only be successful if data meets quality expectations and is understood by the business community
Keeping Tabs on TARP
TARP-driven BI discourages behavior that focuses on short-term results at the expense of value creation and innovation in the long run
The Latest Adventures in Know Your Customer
Financial institutions must do a better job of integrating KYC with other compliance efforts
Balancing End Users and IT Costs/Benefits
Shifting work from IT to business users will reduce IT costs, though a conventional TCO analysis may not show this
Five Considerations to Improve Project Estimates
Inaccurate estimates hinder future funding from cost-conscious sponsors
White Papers
Books
Profiles in Performance: Business Intelligence Journeys and the Roadmap for Change
By Howard Dresner
R in a Nutshell
By Joseph Adler
Jump Point: How Network Culture is Revolutionizing Business
By Tom Hayes
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- White Paper: Data Warehouse Appliances: Achieving the Business Value
The data warehouse appliance marketplace has moved beyond early adopters into the mainstream with many companies searching for the appropriate use of a data warehouse appliance and the compelling justification to the business for using a data warehouse appliance. This research report, authored by Richard Hackathorn of Boulder Technologies, Inc., clarifies the marketing claims and the expected business value. - White Paper: The Forrester Wave: Enterprise Data Warehousing Platforms, Q1 2009
In A Down Economy, EDW Appliances Come To The Fore. Expanded scalability, flexibility, and affordability are the dominant requirements in todays budget-stressed EDW platforms market. I&KM professionals are under the gun, trying to keep EDW and business intelligence (BI) costs under tight control while preserving the flexibility to grow and repurpose these investments to support an ever-changing array of decision-support requirements.
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- Data Resource Quality: Turning Bad Habits into Good Practices
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