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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...
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...
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...
Creating Competitive Advantage in Growing and Mid-sized Businesses with Business Intelligence
Business intelligence (BI) is not only an imperative for big companies. Growing and midsized organizations also require visibility into all aspects of the

bi perspectives on data warehousing  Benefits | Business Intelligence BI | Business Intelligence Books | Business Intelligence Companies | Business Intelligence Company | Business Intelligence Comparison | Business Intelligence Concepts | Business Intelligence Conference | Business Intelligence Consulting | Business Intelligence Definition | Business Intelligence Dashboards | Business Intelligence Framework | Business Intelligence Group | Business Intelligence Implementation | Business Intelligence Integration | Business Intelligence Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

bi perspectives on data warehousing  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, data center cooling module, data center power and cooling infrastructure, traditional data center, containerized data center, data center TCO Read More...
Single Sign-on (SSO): Truths and Myths
Technology products always seem to come out strong, and then wither under intense scrutiny. This was the case with single sign-on (SSO). However, any product

bi perspectives on data warehousing  hopes and leaves behind bitterness before it evolves into the promising solution it can be. Single Sign-On (SSO) was introduced to security years ago along with distributed applications and infrastructures. It became necessary due to the disparate technologies in use; these technologies increased risk by multiplying the number of attack points, and strong security principles dictated the need for strong user account credentials. But SSO had its failures in the past. The question now is, can it be Read More...
Don''t Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

bi perspectives on data warehousing  t Be Overwhelmed by Big Data Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Read More...
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

bi perspectives on data warehousing  data quality jobs,data quality solution,data quality methodology,data quality strategy,address data quality,data quality manager,data quality audit,data quality measurement,what is data quality,data quality in data warehouse,data quality dashboard,data quality program,clinical data quality,improving data quality,data quality measures Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

bi perspectives on data warehousing  enterprise data management,sap crm jobs,sap gloves,sap recruitment,sap security jobs,data quality management,rogue sap,sap opening,sap vacancies,alice in chains sap,customer data management,data management project,sap for dummies,sap forums,sap meaning Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

bi perspectives on data warehousing  impact the performance and availability of the applications to perform the backup. Your mission-critical applications require the highest degree of protection and availability. For these systems, you should look for a solution that limits the amount of data you might lose, as well as the amount of time it takes to recover when something goes wrong. Risks There are many risks that can threaten your remote data (see Figure 3). First, there is the simple and all-too-often case of someone losing a file or Read More...
Linked Enterprise Data: Data at the heart of the company
The data silos of today''s business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

bi perspectives on data warehousing  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...
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...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

bi perspectives on data warehousing  with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

bi perspectives on data warehousing  IT equipment takes in ambient air and ejects waste heat into its exhaust air. Since a data center may contain thousands of IT devices, the result is that there are thousands of hot airflow paths within the data center that together represent the total waste heat output of the data center; waste heat that must be removed. The purpose of the air conditioning system for the data center is to efficiently capture this complex flow of waste heat and eject it from the room. Room-based cooling is the historical Read More...

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