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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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 huge data warehouse 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

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 » huge data warehouse bi

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.

huge data warehouse bi  when almost everything generates huge swathes of data that are hard to understand. If a picture is worth a thousand words, an infographic is worth an awful lot of data points. Visualisation is a relatively new discipline. The time series, the most common form of chart, did not start to appear in scientific writings until the late 18th century, notes Edward Tufte in his classic The Visual Display of Quantitative Information , the bible of the business. Today''s infographics experts are pioneering a new Read More

Achieving Business Intelligence (BI) in Midsize Companies


Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding BI without disrupting your company? Without breaking the bank? Without having to add staff members with specialties you’ve never even heard of before? This paper helps answer those questions, with practical advice for bringing BI into your midsize company.

huge data warehouse bi  implement BI. Frankly, even huge enterprises would use prepackaged BI solutions if they had the option—they''d save a fortune and a lot of time. This is an advantage that midsize companies can capitalize on: The ability to use a prepackaged BI solution brings you big-company power without the big-company price or time commitment. We''ve covered a lot of ground in a short space. In the first chapter, I explained what business intelligence really is, and why you might want it in your company. In the Read More

The Fast-payback SAP Projects for Saving Money in 2009: Detailed Data for Business Expense Projects


Companies are under huge pressure to cut all SAP-related costs and are seeking every opportunity to exploit their huge investments in SAP to reduce total business expenses. A survey of 18 respondents reveals how companies are seeing the potential to squeeze further costs savings by exploiting SAP software investments, especially in enterprise resource management (ERP) and supply chain business process areas. Learn more.

huge data warehouse bi  SAP. Enterprises are under huge pressure to cut all SAPrelated costs. This Report was written to help business audiences looking for every opportunity to exploit their huge, existing investments in SAP to help reduce their total business expenses. It summarizes the detailed data generated from an online survey of 18 respondents in a field study conducted exclusively for AMR Research SAP Peer Forum clients. This confidential cost-savings survey was split into two halves: Fast-payback projects for business Read More

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

huge data warehouse bi  the ability to use huge amounts of scalable processing power. WX 2 is truly massively parallel. This means that every core on every processor in every server works simultaneously on every query. So, if you increase the number of servers, WX 2 will automatically reconfigure itself in order to utilize and maximize the usage of every new core. It is through this intelligent use of RAM and CPU power that WX 2 offers unprecedented speeds to access and query complex data sets. So, as the data explosion Read More

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.

huge data warehouse bi  science that can provide huge returns to an organization. It can assist companies in analyzing the impact of changes to database tables, tracking owners of individual data elements ( data stewards ), and much more. It is also required to build the warehouse, since the ETL tool needs to know the metadata attributes of the sources and targets in order to map the data properly. The BI tools need the metadata for similar reasons. Summary: Data Warehousing is a complex field, with many vendors vying for Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

huge data warehouse bi  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you''ll learn how to save money by using less electricity—whether your data centers are still in the design Read More

Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

huge data warehouse bi  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More

To BI or not to BI


Nowadays a company should not even question whether it needs business intelligence (BI) or not. Those who do not have it yet should include it in their future strategies, while those who do have it should search for ways to make BI work at its full potential. You Don’t Have It Yet? Let's first analyze and understand why a company may not have BI: 1. BI is too expensive If this

huge data warehouse bi  BI or not to BI Nowadays a company should not even question whether it needs business intelligence (BI) or not. Those who do not have it yet should include it in their future strategies, while those who do have it should search for ways to make BI work at its full potential. You Don’t Have It Yet? Let''s first analyze and understand why a company may not have BI: 1. BI is too expensive If this is what has been preventing you from acquiring BI, it’s not a valid reason. There are free BI tools, such as Read More

Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

huge data warehouse bi  10 Evaluation Criteria for Copy Data Management & Data Virtualization Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC. Read More

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.

huge data warehouse bi  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. 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.

huge data warehouse 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

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

huge data warehouse bi  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

huge data warehouse bi  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More

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.

huge data warehouse bi  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. Read More

10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

huge data warehouse bi  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it''s also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you''re going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for Read More