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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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 analysis services data


Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

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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.

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

CRM for Financial and Insurance Markets

Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or in the field). The company can then use this data for specific business purposes by taking a customer-centric rather than a product-centric approach. CRM applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services.  

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How Bar Codes Can Optimize Data Recording and Information Analysis


Bar code technology allows users to analyze information to develop more accurate maintenance, personnel, and financial planning. In particular it can hasten the data recording processes in a maintenance system, as seen in its use in the aircraft maintenance process.

analysis services data  Data Recording and Information Analysis Introduction Traditionally, bar code technology is used in product distribution, courier services, and point of sales (POS). However, it can also be particularly useful in maintenance processes, though its application in some industries, such as aerospace is not as well known, especially in Mexico and Latin America. In order to better understand the application of bar code technology in maintenance processes, we must first understand that it is a form of automatic Read More

IT Services: Outsourcing, IT Infrastructure Competitor Analysis Report


The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.

analysis services data  Outsourcing, IT Infrastructure Competitor Analysis Report The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web Read More

PTC’s 2012 Annual Revenue Results Analysis: After-Sales Services Strategy Paying Off


Last week, PTC announced its fiscal year first quarter results for 2013. Though its license growth was weak this quarter compared with the same quarter last year, its after-sales services business led by Servigistics experienced strong growth. PTC has been focusing on expanding its solution portfolio into new product lifecycle management (PLM) industry verticals such as footwear

analysis services data  2012 Annual Revenue Results Analysis: After-Sales Services Strategy Paying Off Last week, PTC announced its fiscal year first quarter results for 2013 . Though its license growth was weak this quarter compared with the same quarter last year, its after-sales services business led by Servigistics experienced strong growth. PTC has been focusing on expanding its solution portfolio into new product lifecycle management (PLM) industry verticals such as footwear, apparel, medical devices, etc., and on 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.

analysis services data  Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to 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 Read More

Data Pro Accounting Software


Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

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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.

analysis services data  A staging database for analysis and development. Impact on production services is minimized by the use of a separate migration server and by the use of configured staging and process areas within the service to manage multiple data versions, sources, and status values. Your team can also use the staging area to created needed reference data for the target system. A sizing estimate for the staging database, which includes any needed replication required to support both migration code development and Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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Re-think 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 architectures that can confront the new challenges much easier.

analysis services data  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization 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.

analysis services data   Read More

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

analysis services data  design paradigm. While tactical analysis requires immediate or recent data, other sorts of strategic decision making require a higher volume of historical data. For all business analysis, a combination of both historical and real-time data is necessary. The Analytical Purpose . Real-time data warehouses are not intended to replace traditional operational systems. One of the functions of a real-time data warehouse is to support analytical purposes, and not to perform operational functions. Even when a Read More

IT Services E-Procurement


E-procurement is not just for goods and material. The market now offers IT services e-procurement solutions that open access to service sources and seek to optimize the service chain. What are these solutions and how do they work?

analysis services data  Services E-Procurement Introduction Despite retrenching in the dot.com world, analysts project business to business e-commerce to grow to a multi-trillion dollar market over the next few years. This market has driven the development of many e-procurement solutions. While most of these solutions focus on the optimization of the material supply chain, several solutions focus on the optimization of the service supply chain. Some focus specifically on optimization of the IT service supply chain. What are Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

analysis services data  Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. 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.

analysis services 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 data marts, a data quality framework creates a screening process that measures the purity of the data and corrects any inconsistencies found. This article walks the reader through a typical data quality strategy by illustrating, through examples, how and where quality issues occur, and the approaches available to inhibit the proliferation of these issues. Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

analysis services data  alerts to notify if analysis results exceed a specific quality metric Graphical and dashboard reports (using Crystal Reports®) that provide summary profiles, frequency distributions, and referential integrity information An open metadata repository that allows the tool to be used by custom-built applications Scheduling of profiling tasks to run any time without operator intervention The knowledge gained from Data Insight XI concerning existing data quality issues can be used to develop a detailed Read More