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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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 data quality lean


Lean Manufacturing: Reaping the Rewards of Lean through Response Management
For years, manufacturers have been driven by sales forecasts and the need to maximize production efficiency at every level of operation. But in order to be

data quality lean  users see only the data they need. RapidResponse conforms to the users‘ unique business requirements. RapidResponse accelerates the transition to lean manufacturing because it supports common decision processes that occur across a manufacturing enterprise. It enables you to leverage the knowledge and experience of individual employees by capturing knowledge and decision rules, making best practices available across the organization. This means the newly empowered users can make decisions quickly and

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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.

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

ERP for Municipalities

In this model, we assume the municipality controls water, sewers and roads. We assume also that it collects municipal or county taxes and manages many of its own assets such as vehicles and water treatment plant. ERP software for Municipalities nearly always includes Finance, Customer Care and Billing For a complete municipal ERP suite, the following modules are usually included: - Human Resources - Maintenance Management - Asset Management - Project Management ( including Grant Management) - Quality Management - Analytics - Product Technology Of the above, Project and Quality Management modules may not be required for smaller Municipalities.    

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Documents related to » data quality lean

Streamlining for Success: The Lean Supply Chain


When flexibility and speed are requisites for success, it’s the lean organization that leads the race. World-class manufacturing organizations know the value of focusing on the lean fundamentals: eliminating waste, simplifying processes, and continuously improving. By pursuing lean strategies—optimizing inventory and streamlining manufacturing processes—they can reduce inefficiencies and costs in their production processes, and improve customer responsiveness.

data quality lean  is essential that inventory data is sent electronically from the enterprise and automatically integrated into the supplier?s back-office systems. Electronically connected supply chains will be the most responsive. 3. Alerts supplied by inventory visualization solutions provide customers and suppliers with a method to manage inventory by exception. 4. Visualization tools enable better customer/supplier collaboration. APPENDIX C: A LEAN GLOSSARY Build-To-Order: Building and delivering a product based on a Read More

Lean Manufacturing: A Primer


Lean manufacturing emphasizes the minimization of the amount of all the resources (including time) used in the various activities of the enterprise. The typical areas of hidden waste are over-production, waiting, transportation, over-processing, motion, excessive inventory, and defective units.

data quality lean  and poor (typically manual) data collection. It is not surprising then that companies struggling to serve their customers using purely traditional planning and costing methodology are often unable to meet the demands for agility and responsiveness that consumers at the end of the supply chain are requesting. Consequently, for some time now, almost every industry publication, consultant, analyst, and industry pundit has been touting the lean approach as the panacea to whatever troubles manufacturing and Read More

How to Achieve Lean Manufacturing


Lean manufacturing is a transformational exercise that requires an organization to cast aside long-held beliefs and business processes. The five main steps to achieving lean transition are defining value, mapping the value stream, making the activities flow, responding to customer demand, and continuous improvement.

data quality lean  (VMI) or point-of-sale (POS) data on the customer side should have a similar effect. Software vendors also offer a number of other tools to help organizations respond to customer demand. For instance, a supermarket is a tightly managed amount of inventory within the value stream that allows for a pull system. Such inventory buffers can contain either finished items or WIP. They are used to handle finished goods inventories that are replenished by a continuous flow pacemaker process, which falls somewhere Read More

Getting It Right: Product, Quality, Timing, and Price


The most important factor in industry is no longer the mere price of the product. Increasingly, the purchaser's task has become to obtain the right product of the right quality at the right time—and for the right price.

data quality lean  application protocol (WAP), electronic data interchange (EDI) still forms the basis of modern logistics and supply chain management (SCM) applications, in which the entire value chain (up to the final customer) can be coordinated to achieve efficiency and competitiveness (see The Pain and Gain of Integrated EDI ). With Jeeves EDI , a user company can receive orders, order changes, delivery plans, and dispatch notifications, and then send information on prices and items, order confirmations, and invoice Read More

2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

data quality lean  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

data quality lean  of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More

Linked 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, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

data quality lean  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

Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

data quality lean  Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. 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 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.

data quality lean  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

Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

data quality lean  Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical applications Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

data quality lean  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. 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.

data quality lean  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 Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

data quality lean  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More