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The Five Sure-fire Strategies for Gaining Management Approval for WMS Projects
Despite the consensus that warehouse management systems (WMS) offer many benefits, getting approval for a new system is challenging. You need to get key

data quality data warehouse thesis  to pursue, capture current data about your company's processes. Every area of benefit must have an associated current cost and future percentage of improvement assumption. Identify improvement assumptions by vendor because not all WMS applications will provide the same return. Base payback requirements on internal rates of return, payback periods or net present value criteria defined by your finance department. They should be able to provide a target range for investments. Once you are armed with this Read More...
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 or...
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Documents related to » data quality data warehouse thesis


Don't Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

data quality data warehouse thesis  the right time? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management. Read More...
New Arena PLM Offering Handles Quality
Cloud-based PLM software provider Arena Solutions recently announced Arena Quality, a new solution that aims to better organize quality processes at high-tech

data quality data warehouse thesis  Arena PLM Offering Handles Quality Arena Solutions , the cloud-based product lifecycle management (PLM) software provider, recently announced Arena Quality , a new solution that aims to better organize quality processes at high-tech companies. The Arena PLM suite also includes BOMControl and PartsList , as well as the supply chain solution Arena Exchange, all aiming to enable engineering and manufacturing teams and their extended supply chains to speed prototyping, reduce scrap, and simplify bills of Read More...
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

data quality data warehouse thesis  the use of masked data to ensure that no unwanted disclosure of PII occurs during testing and quality assurance procedures. INPUT id=Check1 type=checkbox>Fully Support INPUT id=Check1 type=checkbox>Somewhat Support INPUT id=Check1 type=checkbox>Do Not Support BEGINLYX Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

data quality data warehouse thesis  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data quality data warehouse thesis  garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at each step, and the metrics you can use to evaluate your company’s data 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

data quality data warehouse thesis  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...
The Use of Ceiling-Ducted Air Containment in Data Centers
Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center

data quality data warehouse thesis  Ceiling-Ducted Air Containment in Data Centers Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center. Typical approaches include ducting either individual racks or entire hot aisles and may be passive (ducting only) or active (include fans). This paper examines available ducting options and explains how such systems should be deployed and operated. Practical cooling limits are established and Read More...
5 Keys to Automated Data Interchange
The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data

data quality data warehouse thesis  | data profiling | data quality | data translation | data warehousing | database integration | database integration software | deploy edi application integration requirements | deploy edi application integration software | deploy edi applications | deploy edi infrastructure | deploy edi integration | deploy edi integration design | deploy edi integration framework | deploy edi integration package | deploy edi integration project | deploy edi integration software | deploy edi integration solution | deploy Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

data quality data warehouse thesis  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and 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

data quality data warehouse thesis  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...
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

data quality data warehouse thesis  The Cost of Poor Data Quality What Is Data Quality? Measuring Data Quality Components of a Data Quality Program A Business Process Perspective to Data Quality Types of Data Involved in Managing Data Quality Cleansing Customer and Product Data The Issue of Increasing Complexity BusinessObjects Enterprise Information Management BusinessObjects Data Insight XI BusinessObjects Data Quality XI BusinessObjects Universal Data Cleanse Summary About BI Research About Business Objects Data Quality: What’s The Read More...
A Mobile Software Quality Framework: How Quality Can Accelerate “Speed-to-market”
Today’s mobile software companies face a daunting challenge: How can they achieve quality while getting to market swiftly? After all, speed is king in the

data quality data warehouse thesis  Mobile Software Quality Framework: How Quality Can Accelerate “Speed-to-market” Today’s mobile software companies face a daunting challenge: How can they achieve quality while getting to market swiftly? After all, speed is king in the mobile market. The trade-off between speed and quality in mobile software development is an illusion—or should be. Get a closer look at the situation with a framework that presents a way to use quality assurance (QA) processes to accelerate development. Read More...
Data Governance: Controlling Your Organization’s Mission-critical Information
Controlling your company’s key information through data governance is more than just good practice—it can make the difference between success and failure at

data quality data warehouse thesis  ] implementations, and using data quality there. We found that there was really no rhyme or reason to how the data quality technology was being used other than people had a definite pain. And when you boil that pain down ..., it was that there was no single [governance] policy within organizations for data quality. They had policies in place for HR [ human resources ] practices and for financial practices and travel policies, but they didn't have policies in place to help understand, “How do you govern Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

data quality data warehouse thesis  Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...

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