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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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 bi data warehousing information center

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 » bi data warehousing information center

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.

bi data warehousing information center  information and resources for BI and data warehousing professionals. The focus is on actionable advice on how to plan, build, and deploy BI and data warehousing solutions. Ten Mistakes to Avoid is distributed quarterly, and advises readers on different topics related to building, deploying, or maintaining a data warehouse, or managing a data warehouse team. What Works: Best Practices in Business Intelligence and Data Warehousing , also distributed quarterly, gives readers a comprehensive collection of Read More

Massive Data Requires Massive Measures


One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

bi data warehousing information center  warehouse capabilities with state-of-the-art BI analytical functions. The War Rages On As a final thought, it is worth mentioning that the war for big data is far from over. Data management for large companies can be very complex and involves a number of specific issues that these types of products need to address. Software companies aiming to provide this type of software need to be able to add real value for the management of large data volumes. This value can be reflected in terms of performance, Read More

Is BI Really for Everyone?


It’s been a long time (in this business, anyway) since the very first business intelligence (BI) solutions turned up, enabling big organizations to perform data analysis, generating reports with primitive dashboards for company execs. Since then, the BI space has become agile, operational, self-service, social, and even reactive. When I started to prepare a BI buyer guide, I had to reconsider

bi data warehousing information center  all types of organizations. BI can be found in large companies consolidating big volumes of data from several sources; it enables data mashups and encourages dashboards and scorecards and self-service data analysis. And you’ll find BI in small organizations too, embedded in traditional front-office tools such as spreadsheets, helping small teams of business users solve their analytical problems. BI applications are also being reinforced with capabilities to work with real-time data, and with mobile Read More

The Truth about Data Mining


It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

bi data warehousing information center  the components of Microsoft''s BI suite. It includes several data mining algorithms developed through collaboration between the Microsoft research and SQL Server product teams. SQL Server data mining integrates with other parts of the BI suite: analysis services, integration services, and reporting services. In Conclusion It is essential to lay the groundwork for the complex process of data mining. This includes having a thorough understanding of business data entities and their interrelationships. In Read More

What Good Is Information If Nobody Sees It?


Keeping detailed historical information is a great idea in theory, but how can it be merged with current data to enable split-second decisions? Two companies partner to solve a significant problem in e-commerce.

bi data warehousing information center  relationship between customer spending habits and the size of pictures of items that were looked at but not purchased pulls together transactions, clickstream data, and web content management data as well as historical customer data. Enter nQuire Software, Inc., a maker of software that provides a powerful view into the vast amounts of data available throughout the enterprise. nQuire specializes in making data from diverse sources accessible in a uniform and efficient manner by end users and programs. In Read More

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.

bi data warehousing information center  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. Read More

New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

bi data warehousing information center  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

bi data warehousing information center  and Linux, with the possibility of support for other UNIX variants based on customer demand). Since the back-end product was written in PERL, which is a portable computer language, implicit multi-platform support has always been available. According to Mr. Leman, future developments include support for middleware, such as product offerings from New Era of Networks , Vitria , and Metagon . Among other unique approaches taken by Metagenix: All employees are stockholders, and the company''s financial books Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

bi data warehousing information center  Data Integration: Delivering Agile BI Systems with Data Virtualization Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile Read More

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

bi data warehousing information center  challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More

Information Management For Mid-size Companies: Strategies to Get the Information You Need


Are you getting all the information you need to really understand how well your company is performing right now? How quickly do you get the information you need? Having timely and complete information allows people with good judgment to make better decisions more consistently. Know the options that can help executives in mid-size companies get the information about their businesses faster and more reliably than they can today.

bi data warehousing information center  financial forecasting,financial analysis,financial reporting,financial budgeting,bpm,business performance management,financial reporting and analysis,financial analysis report,financial reporting software,business performance management solutions,financial reporting financial statement analysis and valuation,business performance management systems,financial analysis and reporting,business performance management tools,business performance management software Read More

Data Center Automation


With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands.

bi data warehousing information center  must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. Read More

Information Governance in a World of Big Data


Organizations need to evolve the governance of their information assets and respond to the opportunities and challenges brought by the mega trends such as Big Data, the cloud, etc. Information governance already exists in most large organizations and has different, often unconnected focal points. This white paper discusses the current state of information governance and new challenges, and makes recommendations for what organizations need to do to succeed in the world of Big Data.

bi data warehousing information center  in a World of Big Data Organizations need to evolve the governance of their information assets and respond to the opportunities and challenges brought by the mega trends such as Big Data, the cloud, etc. Information governance already exists in most large organizations and has different, often unconnected focal points. This white paper discusses the current state of information governance and new challenges, and makes recommendations for what organizations need to do to succeed in the world of Big Data. Read More

Don't Be Overwhelmed by Big Data


Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management.

bi data warehousing information center  t Be Overwhelmed by Big Data Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Read More