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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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 data warehouse community 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 » data warehouse community bi

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.

data warehouse community bi  technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing association. Before founding Pine Cone Systems, Bill was a co-founder of Prism Solutions, Inc. Ralph Kimball Ralph Kimball was co-inventor of the Xerox Star workstation, the first Read More

Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete


The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be performed with ease, and an increase in productivity and agility and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture.

data warehouse community bi  and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be performed with ease, and an increase in productivity and agility and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture. Read More

A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

data warehouse community bi  (ETL) code for a data warehouse faces a new set of challenges when migrating data to a live, operational system. Although a 2% error rate may be acceptable for aggregate reporting, it is not acceptable for customer contact data—in this example, we would fail to recognize one out of 50 customers when they call! Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much of your risk as possible through effective planning and Read More

Case Study: Community College Embarks on Financial Reporting System Implementation


The Nova Scotia Community College (NSCC) implemented Business Objects to create a financial reporting system that would run in real time, as opposed to taking weeks to generate reports. However, the NSCC environment presented its own unique set of challenges.

data warehouse community bi  appropriate decision makers, the data was stale and did not provide any value for the decision making process. Aside from not seeing any added value, end users were not using the reports because of the time frame in which they were received. The lengthy distribution process became an excuse for poor performance, due to users not receiving the appropriate information in a timely fashion. Additionally, it was difficult to develop new reports or make changes to the current report structures, meaning that Read More

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.

data warehouse community bi  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, it is essential for organizations to emphasize the quality of data that is used for analysis and subsequent decision making. As data captured from a multitude of sources makes its way to an enterprise data warehouse or Read More

Understanding BI: The Top 10 Business Questions That Drive Your BI Technology Requirements


Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI solution needs.

data warehouse community bi  Birst white paper, BI white paper, BI technology needs, BI technology requirements, BI tech, understanding BI Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

data warehouse community bi  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More

Microsoft Releases New Version of Power BI, Improves BI in the Cloud


Microsoft recently released a new version of Power BI, bringing improvements in functionality, as well as analytics services for non-technical users. TEC BI analyst Jorge García reviews the major changes to Power BI, including connection to new data sources and new visualization and analysis capabilities, and Microsoft's approach to providing a complete data platform for its customers. Get the details in Jorge's article.

data warehouse community bi  alignment with its full data platform strategy, as well as analytics services for non-technical users. Available for preview , the new Power BI analytics offering adds some interesting components for easing and improving the user experience with analytics in the cloud. Bringing Better Alignment to the Business Intelligence/Analytics Stack  During Microsoft’s presentation of Power BI for analysts, the vendor outlined how Power BI fits within the organization’s complete data platform to provide a Read More

BI on the Go: About Functionality and Level of Satisfaction


We thought it would be useful to take another look at what was revealed in our recent survey on mobile BI regarding what’s important for mobile BI users, and of course, how satisfied they are with the mobile BI solutions they work with. Here we discuss functionality and level of satisfaction, and how they affect mobile BI practices and decision making.

data warehouse community bi  hoc querying, alerting, collaboration, data analysis and discovery, and dashboarding (Figure 1), users were clear that both dashboarding and data analysis/discovery are an essential part of their day-to-day lives with a mobile BI application. It is clear reporting in mobile media is slowly decreasing and leaving space for more data discovery functions. On the other hand, two things were surprising for me; first, the level of importance that users gave to the alerting functionality above collaboration 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

data warehouse community bi  create what-if scenarios, compare data from different sources and timeframes, and identify pain points in your processes, among other things. A good BI product should allow you to accurately translate your business needs into technical requirements, which will later on generate the reports, statistics, and analytics that you need in order to make sound business decisions. The only thing BI cannot do is understand certain aspects specific to human logic. Two different people in your company may end up Read More

Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs


To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse solution. Using the Pareto Principle, where a minority of inputs yields the majority results; examining your processes; evaluating your personnel; monitoring the progress of implementation; and testing are the best ways to ensure both a successful launch and long term return on investment.

data warehouse community bi  with all kinds of data about their product and how it is perfect for your company. You have to sift through the minutiae and determine what is best for you and your company. It is not a race to get the system purchased fast! Remember you are purchasing a relationship that will last for many years and you have to make sure that relationship is based on a solid foundation and not on the company with the best sales representative and marketing material. Evaluate your personnel. This is crucial. If you find 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.

data warehouse community bi  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 Read More

Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

data warehouse community bi  Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source : APC Resources Read More

Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction


Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes.

data warehouse community bi  Data Masking: Critical to Data Loss Prevention and Threat Reduction Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes. Read More