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Documents related to » bi perspectives on data warehousing


Business Intelligence: A Guide for Midsize Companies
Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex

bi perspectives on data warehousing  conjunction with a commercial BI product suite that integrates with spreadsheet environments. Shouldn''t your organization be using business intelligence technology to help it run its business more intelligently? Michael A. Schiff Michael A. Schiff is the founder and principal analyst of MAS Strategies. He has over 30 years of experience in the information technology industry, providing tactical market intelligence and analysis in areas such as data warehousing and advanced decision support. Schiff earned Read More...
Every Angle for SAP: A Product Note
Hundreds—even thousands—of transactions could represent a great challenge when trying to analyze data and obtain results. Every Angle is a tool that can deliver

bi perspectives on data warehousing  used with all SAP BI solutions and/or other BI tools to leverage valuable analysis to the business user. Every Angle takes full advantage of an SAP deployment but performs under its own independent framework. By doing so, it doesn´t represent a burden to the SAP deployment.   Product Strategy and Trajectory   Since its inception, Every Angle Software Solutions BV has been working for the European SAP market for ten years and has gained a wealthy reputation. Clients like Continental, Railpro, Read More...
Contemporary Business Intelligence and Its Main Components
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate

bi perspectives on data warehousing  analysis of the data. BI represents all the tools and systems that play a key role in the strategic planning process by allowing a company to gather, store, access, and analyze corporate data for decision-making. Generally, these systems assist organizations in customer profiling, customer support, market research, market segmentation, product profitability, statistical analysis, and inventory and distribution analysis, to name only a few. Data Warehousing Data warehousing is a collection of data Read More...
Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization
Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive

bi perspectives on data warehousing  For example, with traditional BI online analytical processing (OLAP) cubes, sales data can be reflected multidimensionally with rolling sales data over a three-year period. This, however, pales in comparison to dashboard functionality, which allows a sales manager to see up-to-date sales figures in real time, and to compare them against predefined metrics. The sales manager can then drill down on the data to access and analyze operational data in order to determine a plan of action. KPIs vary depending Read More...
Unlocking Hidden Value from Investments in SAP NetWeaver Business Warehouse
Extending the capabilities and value of SAP NetWeaver Business Warehouse is a concern for users. To improve data use and fact-based decision making, and reduce

bi perspectives on data warehousing  IT Skills , SAP BI , SAP IT Resources , SAP Business Explorer , SAP Bex , Value of IBM Cognos 8 for SAP Customers , IBM Cognos Business Intelligence , IBM Cognos Planning Software Capabilities , SAP Business Explorer Infoqueries , Value of Data in Your SAP and Non-SAP Systems . Preface The architecture, capabilities, and value of IBM Cognos 8 for SAP customers is centered on embracing existing skills, knowledge, work and investments, enhancing existing SAP® investments while reducing IT backlogs, and, Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

bi perspectives on data warehousing  As a result, the probability of processing bad data increases. Ultimately, quality data is the foundation of successful CRM implementation and accurate customer intelligence. Past experience and research show that 50 to 70 percent of many CRM initiatives should be devoted to data quality. Consequently poor data quality hampers a company''s ability to realize the return from their investment in a truly integrated CRM. Data quality, therefore, should not be considered a one-time exercise. It has to be Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

bi perspectives on data warehousing  major vendors in the BI industry. Wise can be reached here . Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

bi perspectives on data warehousing  and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

bi perspectives on data warehousing  and a number of BI tools for the individual users. A reasonable starting point for this set would be in the range of $100,000. Costs vary greatly based on vendor selection, number of seats purchased, software maintenance fees, and many other factors. In addition, consulting services drive the cost up immensely. A full blown, large-scale data warehouse in the terabyte range with hundreds of user licenses could cost tens of millions of dollars to implement and maintain. Conclusions Data Warehousing has Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

bi perspectives on data warehousing   Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you''re going through the data center...

bi perspectives on data warehousing  10 errors avoid building data center,errors,avoid,building,data,center,errors avoid building data center,10 avoid building data center,10 errors building data center,10 errors avoid data center. Read More...
MSI Data


bi perspectives on data warehousing  field service management,fsm Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

bi perspectives on data warehousing   Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

bi perspectives on data warehousing  containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements. Read More...

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