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Software Functionality Revealed in Detail
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 business intelligence data mart

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 intelligence data mart

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 environment. This article looks at issues in data quality and how they can be addressed.

business intelligence data mart  of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal 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 Read More

Business Intelligence: Its Ins and Outs


In today's highly competitive business climate, the quality and timeliness of business information for an organization is not only a choice between profit and loss, it is a question of survival or bankruptcy. No business organization can deny the inevitable benefits of business intelligence.

business intelligence data mart  January 10, 2005 Introduction Business intelligence (BI) is a big buzzword in today''s IT world. It is a concept understood by some, but misunderstood by many. The purpose of this article is to clarify what BI is and to discuss its main components. It will also discuss why BI is drawing so much attention, even during this economic downturn, and why it is not only winning the hearts and minds of decision makers, but is also penetrating many functional areas like marketing, finance, and securities. Part of Read More

Business Intelligence Status Report


Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged? What does the terminology surrounding it mean, and what is its current state of affairs?

business intelligence data mart  set of technologies called business intelligence (BI), more important than ever for all enterprise application users. Users rarely feel satisfied with the amount of information they can extract, if they can extract any at all, from their enterprise applications. Enterprise resource planning (ERP) and BI (sometimes called analytics, which is specialized analytical software) are inseparable concepts, but they have taken different trajectories and evolved differently. ERP systems have positively transformed 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 data for decision-making. But what exactly are the primary components of BI?

business intelligence data mart  Business Intelligence and Its Main Components Originally published - June 13, 2006 Economic and regulatory pressures, along with the need to stay competitive in the marketplace, have made business intelligence (BI) more important than ever for enterprise application users. BI gives users the ability to extract, consolidate, change, and analyze data in ways that are not possible in other approaches to enterprise applications. BI also allows users to exploit subsets of data within disparate Read More

Data Mart Consolidation and Business Intelligence Standardization


Making information broadly and easily available to more users throughout an organization—and beyond the organization to customers, partners, and stakeholders—has never been more imperative. More enterprises are coming to understand the value of placing consistent, integrated data into the hands of everyone who needs it. Learn how a data mart consolidation program can help you improve decision making while cutting costs.

business intelligence data mart  Mart Consolidation and Business Intelligence Standardization Making information broadly and easily available to more users throughout an organization—and beyond the organization to customers, partners, and stakeholders—has never been more imperative. More enterprises are coming to understand the value of placing consistent, integrated data into the hands of everyone who needs it. Learn how a data mart consolidation program can help you improve decision making while cutting costs. 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 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.

business intelligence data mart  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. Read More

Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

business intelligence data mart  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW 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, 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.

business intelligence data mart  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

What's Wrong With Application Software? Business Changes, Software Must Change with the Business.


Business changes constantly in small ways and large. It is rare to find an application product that can change once it is implemented. This gap is a reality leading to dissatisfaction and the application being a drag on the business. This gap, the lack of the ability to change, costs the business dearly. Software needs to be the agent of change, not the enemy of change.

business intelligence data mart  Wrong With Application Software? Business Changes, Software Must Change with the Business. Premise Business changes constantly in small ways and large. It is rare to find an application product that can change once it is implemented. This gap is a reality leading to dissatisfaction and the application being a drag on the business. This gap, the lack of the ability to change, costs the business dearly. Software needs to be the agent of change, not the enemy of change. Change Happens Successful companies Read More

Debunking the Top Three Myths of Business Intelligence for Midsize Companies


There is a belief that midsize companies simply can’t afford, can’t handle, or can’t appreciate business intelligence (BI)—but that’s simply not true. Midsize companies can and do benefit from a variety of tools built specifically for the midsize market that are often easier, less expensive, and faster to adopt and use than the ones designed for giant enterprises. Learn the truth behind the top three myths about BI.

business intelligence data mart  Top Three Myths of Business Intelligence for Midsize Companies There is a belief that midsize companies simply can’t afford, can’t handle, or can’t appreciate business intelligence (BI)—but that’s simply not true. Midsize companies can and do benefit from a variety of tools built specifically for the midsize market that are often easier, less expensive, and faster to adopt and use than the ones designed for giant enterprises. Learn the truth behind the top three myths about BI. Read More

Creating Competitive Advantage with Business Intelligence Pervasiveness


Pervasive business intelligence (BI) results when organizational culture, business processes, and technologies are designed and implemented with the goal of improving the strategic, operational, and tactical decision-making capabilities of a wide range of internal and external stakeholders. Read about creating a BI strategy and improving your BI competency.

business intelligence data mart  Competitive Advantage with Business Intelligence Pervasiveness Pervasive business intelligence (BI) results when organizational culture, business processes, and technologies are designed and implemented with the goal of improving the strategic, operational, and tactical decision-making capabilities of a wide range of internal and external stakeholders. Read about creating a BI strategy and improving your BI competency. Read More

The New Business of Business Leaders: Talent Management


In this white paper, the role of business leaders in driving talent management functions is explored, with a particular focus on the tools and approaches that will make them successful.

business intelligence data mart  New Business of Business Leaders: Talent Management In this white paper, the role of business leaders in driving talent management functions is explored, with a particular focus on the tools and approaches that will make them successful. Read More

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

business intelligence data mart  Delphix Agile Masking, data masking, data security, security concerns, production environments, masking solution 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.

business intelligence data mart  As increasing evidence shows, business intelligence is key to CRM success and as demonstrated above, mining into poor quality databases has the completely opposite effect. Market Winners Alone, a stand-alone system is insufficient to tackle the underlying cause of poor data quality. Data quality should be considered a business issue and as such, businesses must create and institute enterprise-wide guidelines for data quality. A combination of people, process, and technology tools is required to establish Read More