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Software Functionality Revealed in Detail
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 data warehouse process etl

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

Process 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, human resources) and include, with varying degrees of acceptance and skill, many solutions that were formerly considered peripheral (product data management (PDM), warehouse management, manufacturing execution system (MES), reporting, etc.). While 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 old adage is "Such a beginning, such an end", and, consequently, many ERP systems' failures could be traced back to a bad software selection. The foundation of any ERP implementation must be a proper exercise of aligning customers' IT technology with their business strategy, and subsequent software selection. This is the perfect time to create the business case and energize the entire organization towards the vision sharing and a buy in, both being the Key Success Factors (KSFs). Yet, these steps are very often neglected despite the amount of expert literature and articles that emphasize their importance.    

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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.

data warehouse process etl  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system an 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 process etl  (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 scopin 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.

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The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

data warehouse process etl  of products for a data warehouse effort is complex. The first and most important issue is to ensure that the Extract/Transform/Load tool that is chosen can effectively and efficiently extract the source data from all the required systems. The selection of the ETL tool requires an understanding of the source data feeds. The following issues should be considered: Many warehouses are built from legacy systems that may be difficult to access from the computer network. ETL tools often do not reside on the sa 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.

data warehouse process etl  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Database 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.

data warehouse process etl  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. Read More

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

data warehouse process etl  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

data warehouse process etl  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More

Announcing Agilisys (Formerly SCT’s Process Manufacturing & Distribution Business) - Finally Fully Focused On Process Manufacturing


The new independent company will certainly benefit from having control of its own financial destiny, being able to make decisions based upon its own needs and objectives rather than being a small part of the much larger entities needs and objectives.

data warehouse process etl  Agilisys,Agilisys Advanced Planning,Agilisys Demand Planning,Agilisys ERP,SCT,Process Manufacturing,Distribution Business,sct division,enteprise resource planning,supply chain,Supply Chain Planning Read More

Linked Enterprise Data: Data at the heart of the company


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data warehouse process etl  Enterprise Data: Data at the heart of the company The data silos of today''s business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, Read More

Leveraging Rapid Process Application Development, Deployment, Adoption, and Use for Business Value


The focus on process improvement continues to grow, and adoption of business process management (BPM) technology continues to rise despite slow-downs in other areas of business information technology. Discover how process improvement addresses common business issues that negatively impact operations at all levels of an organization, and learn about the increasing imperative to accelerate process improvement initiatives.

data warehouse process etl  Appian,bpm,improvement process,process improvement,business process management,business improvement process,business process improvement,process improvement business,bpm process,bpm business,continuous process improvement,business process bpm,soa bpm,bpm business process management,business process manager Read More

Meeting Process Manufacturing Challenges Through More Potent Functionality


The process manufacturing market remains one of the most competitive and dynamic segments of manufacturing. Process manufacturers must evolve to meet the challenges of changing market demands, the increasing commoditization of products, and the volatility of pricing in energy and raw materials.

A powerful enterprise resource planning (ERP) system with detailed functionality should help process manufacturers manage active ingredients throughout their operations by enabling them to buy raw materials and cost goods more precisely; scale formulas up or down, automatically; track lot inheritance; and define product sequencing, which is evaluated based on multiple characteristics, to reduce downtime and changeover costs in the production schedule.

data warehouse process etl  process manufacturing challenges, process ERP, Microsoft Dynamics AX 2012 R2, ERP for process manufacturers, complex process manufacturing, process manufacturing functionality Read More

Product Life Cycle Management (PLM) in Process Part 1 Proven in Discrete, Ready to Blossom in Process


Process industry companies could benefit from many of the PLM concepts that have accrued to discrete industries. But PLM has had minimum penetration into the process industries. Why?

data warehouse process etl  Design (CAD) and Product Data Management (PDM). Proven Value - But What About the Process Industries? Searching for users and reviewing the available case studies shows that few experiences are available that reflect the PLM value available to process companies. Some of the case studies that focus on process companies show the PLM products used to enable packaging design or plant engineering but few include the development of the basic recipes for products. The development of a food, chemical, Read More

The Impact of IT Service on Business Process Management


There are potential benefits of operating business process management (BPM) side-by-side with business service management (BSM). BPM and BSM are emerging technologies: BPM is concerned with the orchestration and management of effective business processes, while BSM focuses on the operational effectiveness of the enabling IT services. These technologies are mutually beneficial to one another. This white paper is intended for managers interested in implementing robust BPM solutions in IT-dependent business scenarios or managers looking to lay down a basic foundation for effective on-demand utility computing. It addresses the partnership between Fuego and Proxima Technology, vendors in BPM and BSM solutions.

data warehouse process etl  issues that include: NSM data is too granular. NSM provides information about individual components such as databases, CPUs, network connections, printers, and so on - information that in isolation is not readily understood by BPM. NSM tools collect vast amounts of data. From a purely operational perspective, the sheer volume of data held in most NSM tools would swamp a BPM solution. NSM is not aligned with business processes. The mapping between the IT application services and the business processes Read More

Product Life Cycle Management (PLM) in Process Part 2 Process PLM Motivation


This part of the series on Product Life Cycle Management in Process explores the business motivations by review business strategies.

data warehouse process etl  production and the product data and processes transferred and implemented. This includes plant and corporate level systems like ERP, SCP, quality, MES and others. Automating the technology transfer is a key weapon in speeding Time-To-Market. Increasing the Success Rate of New Products In some markets, like CPG and food, the failure rate of new product introduction is very high, one source places it a 70%. A major motivation for Process PLM is decreasing the rate of failure or increasing the rate of succes Read More