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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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 enterprise data warehousing 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

Discrete Manufacturing (ERP)

The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers'' IT technology with their business strategies, and subsequent software selection. 

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Documents related to » enterprise data warehousing olap

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.

enterprise data warehousing olap  data warehouses are generally enterprise in scope. Also, data warehouses can be volatile. Due to the large amount of storage required for a data warehouse, (multi-terabyte data warehouses are not uncommon), only a certain number of periods of history are kept in the warehouse. For instance, if three years of data are decided on and loaded into the warehouse, every month the oldest month will be rolled off the database, and the newest month added. Ralph Kimball provided a much simpler definition of a Read More

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.

enterprise data warehousing olap  the value of an enterprise data warehouse (EDW) . A true EDW provides a single 360-degree view of the business and a powerful platform for a wide spectrum of business intelligence tasks ranging from predictive analysis to near real-time strategic and tactical decision support throughout the organization. In order to ensuring the EDW will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the 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

enterprise data warehousing olap  the role of the enterprise data warehouse (EDW). 4.    What are the main features of Kognitio’s WX 2 appliance? The Kognitio appliance is architected to allow users to analyze data—and not just store it. The more complex the analytics, the better. For this reason, the Kognitio appliance has the highest number of central processing unit (CPU) cores per unit of data than any other data warehouse appliance on the market. Typically, our appliances ship with one CPU core per 20GB of data. The Kognitio 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.

enterprise data warehousing olap  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. 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.

enterprise data warehousing olap  of successful implementations. Its Enterprise Miner offers a wide range of predictive analytics and visualization capabilities. The product encapsulates SAS'' data mining process that it calls SEMMA: sampling (extracting a representative sample that can be manipulated easily, and partitioning data for training and testing); exploration (searching for unexpected trends or patterns through visual exploration or statistical techniques); modification (iteratively processing data to focus on relevant data and 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.

enterprise data warehousing olap  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

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.

enterprise data warehousing olap  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 Read More

Oracle Enterprise Asset Management


Oracle Enterprise Asset Management (EAM) optimizes availability and utilization of assets. Oracle's products help companies manage inventory, equipment, and skilled personnel as well as match these resources to asset maintenance demands.

enterprise data warehousing olap  Enterprise Asset Management Oracle Enterprise Asset Management (EAM) optimizes availability and utilization of assets. Oracle''s products help companies manage inventory, equipment, and skilled personnel as well as match these resources to asset maintenance demands. Read More

Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

enterprise data warehousing olap  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More

Epicor Enterprise Resource Planning Software System v. 9.05 for ERP for Mixed-mode Manufacturing Certification Report


The Epicor product Epicor Enterprise Resource Planning Software System (v. 9.05) is now TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for mixed-mode manufacturing in the ERP Evaluation Center. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

enterprise data warehousing olap  Enterprise Resource Planning Software System v. 9.05 for ERP for Mixed-mode Manufacturing Certification Report The Epicor product Epicor Enterprise Resource Planning Software System (v. 9.05) is now TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for mixed-mode manufacturing in the ERP Evaluation Center. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary. Read More

The Path to Healthy Data Governance through Data Security


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enterprise data warehousing olap  information as a key enterprise asset. This means that information as a key asset for an organization has to be treated with the necessary care to keep it safe and secure. But what does information security actually mean? The importance of taking the necessary measures to maintain data or information safety and privacy as needed is obvious to most people. What isn’t obvious is how to achieve this, as information security requires a conscientious and committed initiative. Let’s take a look at some of Read More

The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


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enterprise data warehousing olap  Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware Read More

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enterprise data warehousing olap  Enterprise IBS solutions support lean production, using long- and short-term planning, along with process-oriented methods of working. IBS''s systems are intended to help companies meet customer demand and gain reliable operational control, by incorporating product configuration, distribution assembly, and demand-driven manufacturing in the supply chain environment. Read More

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enterprise data warehousing olap  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More