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Software Functionality Revealed in Detail
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 definition of data warehousing bi

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, and System Requirements  

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Documents related to » definition of data warehousing bi

A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

definition of data warehousing bi  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

definition of data warehousing bi  Service | Data Management Definition | MDM Data Management | Data Storage Manager | Data Management Outsourcing | Data Management Strategies | Business Intelligence Data Integration | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Data Management | SAP Netweaver MDM | SAP MDM Quick Starters | SAP Netweaver White Papers | SAP Netweaver Technology Platform | Big Data Analytics | What Read More

A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

definition of data warehousing bi  Road Map to Data Migration Success Our consultants can help you optimize your end-to-end data migration by combining our expertise with our SAP BusinessObjects software to integrate your data and improve the data’s quality, particularly when upgrading or replacing legacy systems with SAP ERP. Source: SAP Resources Related to A Road Map to Data Migration Success : Data Migration (Wikipedia) A Road Map to Data Migration Success Data Migration Project is also known as : Road Map Data Migration Success Read More

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

definition of data warehousing bi  start anything without scope definition or a work plan is a waste of valuable company time and money. So take the time to analyze what is really needed, clearly answer the following questions and then plan the work. Trust me, we could have saved some companies hundreds of thousands of dollars if they had known the ROI in taking this step. A data assessment needs to be completed and scope definition should clearly be defined by the following parameters: What data is critical to your business, shared Read More

A One-stop Event for Business Intelligence and Data Warehousing Information


The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.

definition of data warehousing bi  included performance management, the definition and delivery of business metrics, data visualization, and the deployment and use of technology solutions. Solutions discussed included online analytical processing (OLAP), dashboards, scorecards, and data mining, as well as analytic applications. This focus allows organizations to gain insight into areas within BI and the different aspects of insight that analytics can provide. Organizations that require a subset of BI can identify how their needs can be Read More

A Guide to Microsoft’s BI Ecosystem—Understanding Microsoft’s Approach to BI for the Enterprise


In the last 4 to 5 years, the business intelligence (BI) and data management scene has evolved at an incredibly fast pace. Software pioneer Microsoft has extended the reach of its enterprise software solutions to the BI and analytics space by offering a wide variety of software applications to enterprises for performing BI and analytics capabilities based on different organizational needs and requirements. Aiming to help users with their BI software selection efforts, this research series explores the complete Microsoft BI product stack, describing the outstanding features of each of Microsoft’s BI offerings. The first part of this series describes the development of the Microsoft BI product landscape and provides insight into Microsoft’s set of enterprise BI solutions.

definition of data warehousing bi  Guide to Microsoft’s BI Ecosystem—Understanding Microsoft’s Approach to BI for the Enterprise In the last 4 to 5 years, the business intelligence (BI) and data management scene has evolved at an incredibly fast pace. Software pioneer Microsoft has extended the reach of its enterprise software solutions to the BI and analytics space by offering a wide variety of software applications to enterprises for performing BI and analytics capabilities based on different organizational needs and requirements. Read More

The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

definition of data warehousing bi  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. 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 company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

definition of data warehousing bi  Quality: Cost or Profit? Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can Read More

State of the Art in TCO: Managing the Total Cost of Ownership


Total cost of ownership (TCO) is one of the most difficult metrics to benchmark. Even when using the clearest of metrics, companies often obtain inadequate results. Instead of thinking solely about how to calculate and reduce TCO, companies should think about how to manage TCO from a business perspective, in order to leverage solid, results-oriented decisions about IT solutions.

definition of data warehousing bi  of the Art in TCO: Managing the Total Cost of Ownership Total cost of ownership (TCO) is one of the most difficult metrics to benchmark. Even when using the clearest of metrics, companies often obtain inadequate results. Instead of thinking solely about how to calculate and reduce TCO, companies should think about how to manage TCO from a business perspective, in order to leverage solid, results-oriented decisions about IT solutions. Read More

Software-as-a-service ERP versus On-premise ERP through the Lens of Total Cost of Ownership


This IDC white paper looks at the growing applicability of software as a service (SaaS) for enterprise-level business applications, and analyzes the adoption rate and total cost of ownership (TCO) of this technological approach. Download this white paper to find out how a hosted option can drive significant cost savings, reduce initial implementation times, and bring new functionality with relative ease and convenience.

definition of data warehousing bi  as-a-service ERP versus On-premise ERP through the Lens of Total Cost of Ownership This IDC white paper looks at the growing applicability of software as a service (SaaS) for enterprise-level business applications, and analyzes the adoption rate and total cost of ownership (TCO) of this technological approach. Download this white paper to find out how a hosted option can drive significant cost savings, reduce initial implementation times, and bring new functionality with relative ease and Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

definition of data warehousing bi  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More

Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

definition of data warehousing bi  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More

Understanding BI: The Top 10 Business Questions That Drive Your BI Technology Requirements


Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI solution needs.

definition of data warehousing bi  Birst white paper, BI white paper, BI technology needs, BI technology requirements, BI tech, understanding BI Read More

The Future of the SAP Economy—A Book Review of SAP Nation


P.J. Jakovljevic reviews a fascinating new book about software vendor SAP. And what a story it is! Written by Vinnie Mirchandani, it chronicles the current and future prospects of a $200 billion giant that has a glorious and profitable past—but may be looking at a future fraught with serious challenges at every turn.

definition of data warehousing bi  Future of the SAP Economy—A Book Review of SAP Nation SAP Nation: A Runaway Software Economy , by Vinnie Mirchandani, Deal Architect Inc, 262 pages, US$19.95   Vinnie Mirchandani’s is a seasoned enterprise software market observer (formerly an analyst at Gartner and consultant at PwC, as well as having been an SAP ERP-accounting user) who has vast experience in negotiating enterprise software deals for his clients ( Deal Architec t is one of Mirchandani’s trademarked companies and blogs). Read More

Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

definition of data warehousing bi  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More