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The Why of Data Collection
Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

m2m shop floor data collection  data collection systems,inventory,productivity,information,data Read More...

Meeting the Challenges of Product Traceability with Automated Data Collection
An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at inspection, at assembly, at shipping? Explore the many facets of meeting product traceability challenges using automated data collection.

m2m shop floor data collection  Meeting the Challenges of Product Traceability with Automated Data Collection Meeting the Challenges of Product Traceability with Automated Data Collection Source: Radley Corporation Document Type: White Paper Description: An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at Read More...
ERP System for Industrial Machinery Manufacturing
A U.S.-based manufacturer of industrial machinery turned to TEC for help selecting an enterprise resource planning (ERP) solution.
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Documents related to » m2m shop floor data collection


Guide to Tax Collection Compliance: Ending the Nightmare
In mid-market report: the changing face of sales and use tax compliance, find out just how bad the problem has become, and what midsized companies ...

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Data Quality: A Survival Guide for Marketing
The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

m2m shop floor data collection  data quality,dq,improve data quality,database software,increase data quality,data profiling tool,data quality management software,data quality software,data quality framework,data quality index page Read More...
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.

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Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.

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The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

m2m shop floor data collection  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology Read More...
It’s the Time to Master Your Master Data
A recent blog post CRM for the Finance and Banking Industry – Part 1 by Gabriel Gheorghiu touched on a pain point of many of today’s enterprise IT environments. Due to the inconsistency of customer data amongst different systems in use, the bank employee “asked three or four of her co-workers for help, and took about 15 minutes” to simply change the address of one customer. As a matter of fact

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The Bottom Line on Bad Customer Data
You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (CRM) system? Think again. It’s bad data, and it’s costing you millions. Request your copy of The Bottom Line on Bad Customer Data that delivers detailed advice from Jill Dyche, partner and co-founder of Baseline Consulting, about what you can do to address the impact of bad data on your company. The report gives you insight into how bad data is impacting your company and what you can do about it. How to identify where the bad data is and quantify its impact, and different approaches to determine the sources and causes of

m2m shop floor data collection  problem,structure,baseline,Customer,bad,data Read More...
Managing the Tidal Wave of Data
Despite the slowing economy, data growth continues due to the digitization of infrastructures, the need to keep more copies of data for longer periods, and the rapid increase in distributed data sources. This data growth creates a wide range of management challenges. Discover solutions that can help your company maximize its storage environment and reduce costs while improving service and managing risks.

m2m shop floor data collection  IBM,san,storage,storage devices,virtualization,media storage,data storage,device storage,disk storage,hp storage,network attached storage,server storage,storage manager,storage server,san design Read More...
Ask the Experts: Approaches to Data Mining ERP
From one of our readers comes this question: I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. <!--more-->I am going to prepare a framework to determine

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