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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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 etl term data warehouse lists

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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Best Practices for a Data Warehouse on Oracle Database 11g


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etl term data warehouse lists  used to limit the ETL processes to nodes 1 and 2 in the cluster and Ad-hoc queries to node 3 and 4. Workload Monitoring In order to have an overall view of what is happening on your system and to establish a baseline in expected performance you should take hourly AWR or statspack reports. However, when it comes to real-time system monitoring it is best to start by checking whether the system is using a lot of CPU resources or whether it is waiting on a particular resource and if so, what is that Read More

Contemporary Business Intelligence Tools


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etl term data warehouse lists  systems (EIS), extract/transform/load (ETL) tools, reporting, query and analysis tools, data visualization, balanced scorecards, dashboard, on-line transaction processing (OLTP), on-line analytic processing (OLAP), data mining, and alerting and notification systems. It also includes decision support systems (DSS), which is software designed to support groups in unstructured decision-making by supporting brainstorming, conflict resolution, voting, and other techniques. Under the BI umbrella all Read More

The Lexicon of CRM - Part 1: From A to I


C.R.M. itself is an acronym, standing for Customer Relationship Management. This is part one of three-part article to provide explanation and meaning for most of the common CRM phraseology. Here, in alphabetical order, is the Lexicon of CRM.

etl term data warehouse lists  the qualification of leads. ETL - Extraction, Transformation, and Loading . A term used with Data Warehouses. Part of the Data Warehouse functionality set, where data is pulled (Extracted) from disparate databases, Transformed into more easily understandable, and better linked form, and then Loaded into the Data Warehouse for Data Mining. Extranet - That part of a company''s own Intranet that is shared with a subset of external users. Typically protected by password or some other means. F - G   Fail over Read More

Why don’t the Potential Benefits of Spend Analysis Come Easily?




etl term data warehouse lists  be addressed in this ETL process. In the case of spend management, some refer to this step as “Cleanse, Classify, and Enrich” via algorithms for some sort of automated data classification, such as to the  United Nations Standard Products and Services Code (UNSPSC)  eight-digit taxonomy, four-digit  eCl@ss product classification (in Germany’s energy sector) , Dunn & Bradstreet’s (D&B) Standard Industrial Classification (SIC) codes and North American Industry Classification System (NAICS) codes, Read More

How to Solve Your Warehouse Woes


Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. But before any improvements can be made, they must first develop a warehouse management improvement strategy.

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2012 Business Data Loss Survey results


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Data Pro Accounting Software


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Data Storage in the Cloud--Can You Afford Not To?


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Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

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


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

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The Data Warehouse RFP


If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

etl term data warehouse lists   Read More

Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

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Flexible Customer Data Integration Solution Adapts to Your Business Needs


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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.

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