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Software Functionality Revealed in Detail
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 data stage business intelligence


Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

data stage business intelligence  GPS solution includes native data access for each database and takes full advantage of the distinct features of each. The vendor's experience has reportedly shown that properly sizing the database server to support transactional and reporting functions can be far less expensive, while adequately effective, than building and maintaining a redundant DW. Further, the IT management costs of tuning the transaction database are likely less than the cost of the ongoing maintenance required by a DW, which

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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

Business Intelligence (BI) RFI / RFP Template

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

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Documents related to » data stage business intelligence

Business Intelligence for Process Industries


The IT investments that have allowed firms in process industries to increase the efficiency of their operations and supply chains have also created vast stores of data. Unfortunately, many companies are still unable redeploy that data to drive innovation. Learn how the next generation of business intelligence (BI) tools can help your company gain a competitive advantage by harnessing the information IT systems generate.

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Seven Steps to Flawless Business Intelligence


Business intelligence (BI) capabilities transform vast amounts of data into relevant information that organizations rely on to make decisions and manage performance. Most companies have some form of BI, and most are familiar with its benefits. However, in order to extract maximum advantage from BI initiatives, it is necessary to be aware of—and avoid—their seven “fatal flaws.”

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A Practical Framework for Business Intelligence and Planning in Midsize Companies


Every company needs a clear set of goals and objectives to achieve maximum benefits from its business intelligence (BI) and planning projects. But a company must do more than state its goals to achieve its BI and planning objectives. It needs a working framework that provides a blueprint for success. Learn how a software solution can provide essential BI and planning functions while setting the stage for future growth.

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Business Intelligence: Driving Better Business Performance for Companies with Changing Needs


When it comes to acquiring business intelligence, small to medium-sized companies are often at a disadvantage. Compared to larger companies, they may lack the resources to process data and turn it into business insight, or their systems may not be able to keep pace with organizational growth. This can severely limit their ability to compete—and ultimately, to survive.

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The Five Styles of Business Intelligence: Industrial-strength Business Intelligence


If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this framework can help. There’s a fundamental shortcoming in most BI tools today, as a single architecture cannot support the full range of BI functionality—leading to excessive costs, delays, and user dissatisfaction. Learn about a solution that covers the five different styles of BI functionality.

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Buyer’s Guide to Business Phone Systems


Purchasing new business phones often coincides with a major change of direction at most companies. Choosing between a business Voice over Internet protocol (VOIP) system and other types of business phone systems often requires analysis of users’ needs and understanding of a company’s goals. Read here to know why expert business phone system buyers recommend focusing on four major areas of the decision-making process.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution


There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas.

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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, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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