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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 valuable data integration olap

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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Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

valuable data integration olap  of Data Warehousing | Valuable Data Integration | Enterprise Data Warehousing | Contains Information on Data Warehousing | Building the Data Warehouse | Term Data Warehouse Lists | Expensive Data Warehouse | Data Warehousing Provides | Data Warehouse Appliance Consists | Data Warehouse Info | Implementing Data Warehouse | Data Warehouse Process | Implementing Real Time Data Warehousing | Data Warehouse System Complete | Data Warehouse EDW | Data Warehouse Architecture EDW | Data Warehouse Concepts EDW | Read More

Role of In-memory Analytics in Big Data Analysis


Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

valuable data integration olap  handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Framework What does it mean to have an in-memory technology in place? It means that all the data in a computer is stored within Read More

Business Intelligence Portal (BI Portal)


The Silverlight BI Portal is a centralized repository for data analyzing and reporting tools. AD Integrated Authentication and tight integration with the MS Report Server make it ideal for intranet deployments. Forms Based Authentication and SQL Server based storage engine, are also supported to allow SSAS Cubes to be securely exposed to Internet users. The portal utilizes direct calls to the back-end servers, thus eliminating the middle tier - no impersonation and no scalability issues. It consists of multiple products that target the front end data presentation, report design and deployment, as well has back end server monitoring, optimization and tuning.   For the data consumers, report builders, analysts:   Silverlight Business Intelligence Companion – the first truly no installation, web-based application for quickly browsing and analyzing OLAP cubes. Report Server Companion - allows for managing the MS SSRS services, extends the SSRS manager web site functionalities, built in reports designer Report Server Viewer - browser SSRS reports in Silverlight Application Interactive Dashboards - create and share dashboards. Present them in Silverlight and HMTL5 for mobile support Data Mining Companion - create scenarios and evaluate the results by using the mouse only in seconds Interactive Charts and Maps - real-time charts, over 500 maps, Bing Maps integration, custom areas, 3D rendering   For the Administrators and Developers these products focus on the monitoring, reporting, tuning and optimizing the most valuable IT resources - the data servers:   Companion for MS Analysis Server Companion for MS SQL Server   The BI Portal offers low cost Per Server instance licensing with unlimited end users and unlimited technical support directly related to the product. Additional consulting and development services are available.  

valuable data integration olap  and optimizing the most valuable IT resources - the data servers:   Companion for MS Analysis Server Companion for MS SQL Server   The BI Portal offers low cost Per Server instance licensing with unlimited end users and unlimited technical support directly related to the product. Additional consulting and development services are available. Read More

What’s New in Microsoft SQL Server 2000


SQL Server 2000, the next major release of SQL Server 7, is Microsoft’s SQL 7 release of its database both re-architected and re-written. Microsoft has high hopes for the latest version in a market that was worth $8 Billion in 1999, an 18% increase over 1998. What remains to be seen is whether it will attract customers not already using SQL Server.

valuable data integration olap  This can be extremely valuable in a very large database that is frequently updated, since it can save a great deal of time. Materialized Views: The product allows the creation of a unique clustered index on a database view. This can result in great performance gains, and the query optimizer will even be able to use the view if it is not referenced in the query''s FROM clause. This feature is important in that existing queries do not have to be re-coded to force the optimizer to use the view index. Read More

SAP BusinessObjects Edge BI for Business Intelligence Certification Report


SAP's business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator for organizations who rely on the integrity of TEC’s research services for assistance with their software selection projects. Download this 24-page TEC report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

valuable data integration olap  certification seal is a valuable indicator for organizations that rely on the integrity of TEC''s research services for assistance with their software selection projects. Organizations looking for a solution can be confident that they''re comparing the product on an apples to apples basis with other, similar products. SAP BusinessObjects Edge BI Market Data Summary SAP BusinessObjects is easily one of the historical leaders in the BI space. The SAP BusinessObjects portfolio is perhaps one of the most Read More

The eG Integration Console


While many monitoring frameworks support commercial applications and application infrastructures, very few offer organizations the capacity to manage the custom application components that are inevitably a part of their infrastructure. But as these applications tend to be the most critical components of the target infrastructure, a framework that cannot provide insight into these ultra-critical components is offering severely limited value.

valuable data integration olap   Read More

The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

valuable data integration olap  it’s required. credible—data provides valuable insights. Planning and executing a successful data quality strategy requires significant effort and the application of the right technology and methodology. With regard to data quality assurance organizations can be at different levels of maturity. There are several ways to assess maturity, but a basic data quality maturity model describes the following stages (figure 1): Data quality as required—Organizations solve data quality problems incidentally, 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.

valuable data integration olap  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

Serving up EAM Integration


Integrating systems has created major havoc within enterprises, and gluing together disparate mission-critical business systems from multiple vendors that were never designed to work together is definitely a cause for IT concern.

valuable data integration olap  up EAM Integration The Need for EAM Integration Integration is a word that strikes fear in many information technology (IT) organizations. There is no question that integrating systems has created major havoc within enterprises, and gluing together disparate mission-critical business systems from multiple vendors that were never designed to work together is definitely a cause for IT concern. For many organizations, the solution has been to avoid integrations altogether by selecting a single Read More

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.

valuable data integration olap  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. Read More

Understanding the PCI Data Security Standard


The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

valuable data integration olap  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More

Protecting Critical Data


The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

valuable data integration olap  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

valuable data integration olap  Blending for Dummies Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant. Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data Read More

Types of Prefabricated Modular Data Centers


Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

valuable data integration olap  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More