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Contextual Workflow Modeling
Activity-based workflow modeling (AWM) is a common and useful modeling technique, whose fundamental drawbacks limit its effectiveness in modeling complex

data modeling tutorial  enterprise resources via standard data communication channels. Source : Macronetics Resources Related to Contextual Workflow Modeling : Workflow (Wikipedia) Contextual Workflow Modeling Data Environment is also known as : Data Environment Command , Data Environment Designer , Data Environment Instance , Data Environment Tutorial , Data Environment Variable , Data Environmental , Data Guard Environment , Data Intensive Computing Environment , Data Intensive Cyber Environments , Data Management Read More

Recruitment and Staffing
Recruitment and Staffing functionality allows the user to select and hire the right people with the right skill sets, as well as track the information regarding their recruitment for later analysis...
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Documents related to » data modeling tutorial


SAP for the Chemicals Industry: Challenges and User Recommendations
Using the SAP ERP Chemicals Packaged Solution may represent a significant advantage—but only if SAP is the right enterprise resource planning system for the

data modeling tutorial  easier to trace unexpected data to its source. On the other hand, it may be the case that interfaced modules offer more aggregate functionality. Is the solution a complete application, or is it a modeling language that forces users to create their own solution? The trade-off here is that a vastly greater ability to customize comes with a vastly greater investment of resources. Can existing personnel (such as planners or IT staff) support the system, or does it require specialized assistance from an Read More
Infor24: Demystifying Infor’s Cloud Strategy - Part 1
Anyone that is still vociferously doubting and denying the future of cloud computing and its near-mainstream nature will sound as strange and nutty as some

data modeling tutorial  essentially created a central data repository based on open data standards to help clients asynchronously exchange business documents. The collaboration business network part of ION will be enabling enterprises to conduct business transactions internally or externally, across both on-premises and cloud applications. The idea is to provide out-of-the-box enablement for Infor cloud-based applications as well as a bridge to third-party cloud and on-premises applications. In addition, Infor ION adds business Read More
Computerized Maintenance Management Systems: A Tutorial Part One: Challenges and Features
Companies are looking for more areas to squeeze savings out of operations. One such area that may be fertile ground to explore is equipment maintenance. The

data modeling tutorial  materials. Through this automated data collection mechanism, we are creating a equipment history database that will form the basis for performance analysis. A CMMS should provide the tools to perform this analysis and be able to answer the question, How has our maintenance organization and equipment been performing? Some of the canned reports that should be available from a CMMS are: Equipment Utilization Equipment Downtime Equipment Mean Time Between Failure (MTBF) Equipment Mean Time To Repair (MTTR) Read More
Financial Reporting, Planning, and Budgeting As Necessary Pieces of EPM Part Two: Challenges and User Recommendations
Although CPM (aka EPM) starts with strong financial management, it will eventually extend beyond financial planning to almost all areas of corporate activity

data modeling tutorial  a structured set of data against predefined reports, alerts, dashboards, analysis tools, key performance indicators (KPIs), etc., to monitor and improve business processes based on the upfront established corporate strategic objectives. Further, CPM creates a closed-loop process, starting with developing high-level corporate goals and subsequent predefined KPIs, through measuring actual results against the KPIs and representing this comparison in a scorecard, with the results reported to management Read More
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

data modeling tutorial  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data's Data Quality Suite operates like a data quality firewall ' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Busin Read More
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

data modeling tutorial  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

data modeling tutorial  Data Management: Extracting Value from Your Most Important Intangible Asset Master Data Management: Extracting Value from Your Most Important Intangible Asset If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Read More
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

data modeling tutorial  Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Read More
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

data modeling tutorial  Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of scale of cloud storage providers high 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

data modeling tutorial  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
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

data modeling tutorial  Data Everywhere: A Special Report on Managing Information SAP NetWeaver Master Data Management (SAP NetWeaver MDM) is an enabling foundation for enterprise services and business process management. Working across heterogeneous systems at disparate locations, SAP NetWeaver Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data Read More
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

data modeling tutorial  Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Cleansing Read More
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

data modeling tutorial  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 damage: power problems Read More
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

data modeling tutorial  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

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