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Data Management for Business Intelligence

Source: Aberdeen Group
Along with the increasing sophistication of BI capabilities comes an increase in data volume—yet companies want to improve time-to-information for users. Data storage and data retrieval decisions are now often made based on cost instead of business needs—leading to compromises that impact performance. Find out the BI strategies, capabilities, and technologies best-in-class companies are using to address these challenges.


Featured publications:

Comparing the Total Cost of Ownership of Business Intelligence Solutions
Source: Birst For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions. Read More...
Webinar: Expanding BI's Potential with Predictive Analytics
Source: Technology Evaluation Centers Published On: October 22 2013 Business intelligence (BI) is an essential decision-making tool. But it can do even more for you when you power it with predictive analytics. In this IBM TechTalk webinar, Jorge Garcia, senior BI and Data Management analyst at Technology Evaluation Centers, will show you how predictive analytics goes beyond traditional analysis of past and present data to help you "see ahead." Read More...
Linked Enterprise Data: Data at the heart of the company
Source: Antidot The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how. Read More...


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Business Intelligence in SAP Environments
Source: Business Application Research Center As a consequence of the acquisition of Business Objects, SAP has shifted its SAP business warehouse (BW) strategy to a more open data warehousing approach and is now focusing on the former Business Objects portfolio. This guide is designed to help existing SAP BW customers to plan to move to the new business intelligence (BI) environment, and outlines most important architecture options for a data warehouse strategy. Read More...
Business Intelligence in the Corporate Finance Environment
Source: Business Finance Executives are placing greater demands on the finance department—and the chief financial officer (CFO)—to provide an accurate picture of the financial health of the enterprise, offer insight into how emerging shifts in key market factors will affect the organization, and establish timely scalable measures of corporate performance that align across functions. Learn how BI solutions can help finance departments deliver. Read More...
Using Master Data in Business Intelligence
Source: BI Research Master data management (MDM) solutions are not new. But what is new is that companies are realizing that master data needs to be managed and integrated outside of the traditional business transaction and business intelligence (BI) environments. Learn more about the current status of MDM, and get suggestions for planning, building, and deploying an MDM environment that can work in conjunction with BI tools. Read More...

 
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