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Pull vs Push: a Discussion of Lean, JIT, Flow, and Traditional MRP Part 1: Tutorial
Flow manufacturing leverages techniques to help manufacturers create any product on any given day, in any given quantity including the

build data flow diagram  point-of-use locations, RIP, and build or supply materials when location needs to be replenished. These features are attractive at least to existing ERP users and particularly automotive suppliers, who have been pinched by a tightening economy and are under pressure to speed up operations and adopt JIT and lean manufacturing practices. The requirements for the automotive industry, which is particularly conducive to the deployment of lean concepts, are critical even in the accounting arena where evaluated Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » build data flow diagram


Advanced Front Office Lean with Business Modeler Software
When part of an enterprise software environment, business modeler software can reduce training costs, prevent errors, and minimize non-value added work. And if

build data flow diagram  should be possible to build into the model a link to a Web browser along with links to sites where you might source the products you need. Another procedure might be to prepare a request for quotations, and a link in the business model could open a window to complete that step, perhaps in a word processor if that is the tool you have decided to use for that step, or could even direct you to the vendor site to complete an online purchase. Regardless of what front office process you are involved in or what Read More...
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

build data flow diagram  How does the enterprise build a data defensible architecture that will protect its valuable data on the ever-evolving network? Forward-looking organizations are recognizing that end-to-end encryption must be the foundation of protecting the company's valuable data. Indeed, at some point everything will be encrypted-the question is not if but when. This white paper describes how data can be secured even on unprotected networks and what specific steps should be taken to build a data defensible Read More...
Demand Planning: Optimizing Operations across the Supply Chain
Demand planning applications can help manufacturers establish baseline sales forecasts and perform analysis to improve resource usage. They can also help

build data flow diagram  uses point-of-sale data to build a demand forecast for its service parts. The company uses a demand management system to digest more than three years of parts sales data to calculate demand forecasts by part number for four warehouses, leading to an order plan for some 50,000 parts. The order is then sent to Korea, where the company is headquartered and where many of its parts suppliers are located. As a result, the company has reduced inventory and boosted its fill rate. Supply-Chain Collaboration Read More...
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

build data flow diagram  gain approval and even build some excitement about the benefits of the WMS. Part of this will include the way changes and upgrades are handled (as discussed in the Total Cost of Ownership section). If IT has control over future system configuration and won't have to rely on outside sources to execute Operations' change orders, savings will become apparent. During these discussions you will also need to find out about other architectural requirements. Examples of this may include whether the WMS can 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

build data flow diagram  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...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

build data flow diagram  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

build data flow diagram  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

build data flow diagram  Identification: In order to build the data warehouse, the appropriate data must be located. Typically, this will involve both the current OLTP (On-Line Transaction Processing) system where the day-to-day information about the business resides, and historical data for prior periods, which may be contained in some form of legacy system. Often these legacy systems are not relational databases, so much effort is required to extract the appropriate data. Data Warehouse Design and Creation: This describes t Read More...
Massive Data Requires Massive Measures
One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money

build data flow diagram  Data Requires Massive Measures   From Sun Tzu’s The Art of War : In the operations of war, where there are in the field a thousand swift chariots, as many heavy chariots, and a hundred thousand mail-clad soldiers, with provisions enough to carry them a thousand Li, the expenditure at home and at the front, including entertainment of guests, small items such as glue and paint, and sums spent on chariots and armor, will reach the total of a thousand ounces of silver per day. Such is the cost of 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

build data flow diagram  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. Read More...
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

build data flow diagram  Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk 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.

build data flow diagram  in, Garbage out: Getting Good Data out of Your BI Systems Garbage in, 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 Read More...

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