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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.
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 business data


Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

business data  to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration if the quality of data is compromised. When embarking on a data warehousing or business intelligence project,

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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)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » business data

The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

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Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

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Using Data Analytics to Transform Your Business Processes and Your Business


Implementation of data-driven analytic platforms is quickly becoming the new business normal. New analytic tools are allowing organizations to improve the performance of routine tasks and procedures based on real-time, high-quality information, resulting in vastly improved operational and financial decision making. Dundas Data Visualization is a dashboard solution that can help your business increase compliance and improve efficiency by transforming raw data into visual information. Visualizing your organization’s data can give you a clearer understanding of what’s really happening in your organization, and help to identifying potential challenges. The adoption of Dundas Data Visualization dashboard solutions can help your business perform far above others in your field.

In this white paper, learn about what data analytics are, and how, in conjunction with up-to-the-minute information and access to great visualization tools, you can use them to your best business advantage. Dundas Data Visualization provides a detailed set of four key factors to help you develop better insight through advanced analytics: defining of business objectives, aligning stakeholders on business challenges, identifying meaningful metrics for better success, and putting insight to work by utilizing visual tools for more rapid understanding of concepts. Read tips on how to establish the definitions of success for your company through the development of a data discovery framework to harness the full potential of your data. Learn why it’s crucial to develop a system of support for and management of data analytics within your organization before adoption takes place, and why simply visualizing information can help with the adoption of new data analytics tools.

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Transactional Data: Driving Real-Time Business


A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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SaaS Realities: Business Benefits for Small and Midsize Business


Software as a service (SaaS) is known for its relative speed to deployment and low up-front cost. Less well known are the business advantages of SaaS for enterprise resource planning (ERP) solutions, especially for small and midsized businesses. Learn how a fully integrated SaaS solution can help you improve your business operations, as well as better meet the challenges of growth, competition, and regulatory compliance.

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Addsum Business Software


Addsum Business Software was founded in 1992, as a spin-off of a prior business, Inkit Productions (founded in 1986). The company provides database-driven custom programming and commercial software development services. Addsum’s applications run almost exclusively on Microsoft network operating system platforms. The company is located in Salt Lake City, Utah (US).

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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 sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions


Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.

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IBM Cognos Express: Integrated Business Intelligence and Performance Management for Your Midsize Business


Watch this brief overview of IBM Cognos Express, the integrated business intelligence and planning solution that's priced and packaged specifically to meet the needs of midsize organizations.

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