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Documents related to » available supply chain data scm


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

AVAILABLE SUPPLY CHAIN DATA SCM:
9/9/2009 2:32:00 PM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

AVAILABLE SUPPLY CHAIN DATA SCM: standardization? Is sufficient detail available? What about unstructured data? Is data orphaned anywhere? Once the source data has been properly identified, the strategy team can then test that the data will support the required functionality of the target application. The team should begin by identifying quality problems in the source data such as syntax and semantic errors, format problems, and integrity issues and plan how to correct outstanding issues. The team should also identify and prepare to
10/27/2006 4:30:00 PM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. 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.

AVAILABLE SUPPLY CHAIN DATA SCM: a number of options available for connecting the functionality to the data. In broad terms, those options are: On-premise software Internal hosting via Web services On-demand (for example, Software as a Service (SaaS) ) Service bureaus These options range from having the greatest control and largest footprint (on-premise software) to least control and no footprint (service bureau). From a cost basis one might suspect that on-premise software would be the most expensive. However, the cost of maintaining a
6/1/2009 5:02:00 PM

Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

AVAILABLE SUPPLY CHAIN DATA SCM: database operations across all available nodes and cpu’s. For smaller operations, Oracle dynamically adjust the parallelism to maximize overall system throughput while the Database Resource Manager ensure that high-priority operations continue to get the appropriate resources. ANALYZE Technologies such as OLAP, statistics, and data mining are hardly new to data warehousing and business intelligence (indeed, all of these technologies mostly predated data warehousing). Data warehousing practitioners have
4/20/2009 3:11:00 PM

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.

AVAILABLE SUPPLY CHAIN DATA SCM:
10/27/2006 4:30:00 PM

Case Study: Wausau Supply
The main business challenge faced by Wausau Supply—an American distributor of building materials—was its ability to provide next-day delivery to small lumber yards and to a greater number of conglomerates. But Wausau didn’t have an up-to-date system for back-office or logistics operations, and needed a new enterprise resource planning (ERP) solution with visibility into its inventory at all locations. Find out more.

AVAILABLE SUPPLY CHAIN DATA SCM: Case Study: Wausau Supply Case Study: Wausau Supply Source: Infor Document Type: Case Study Description: The main business challenge faced by Wausau Supply—an American distributor of building materials—was its ability to provide next-day delivery to small lumber yards and to a greater number of conglomerates. But Wausau didn’t have an up-to-date system for back-office or logistics operations, and needed a new enterprise resource planning (ERP) solution with visibility into its inventory at all
6/18/2009 2:26:00 PM

Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

AVAILABLE SUPPLY CHAIN DATA SCM: data migration, data migration best practices, Globanet, migration software, data migration compliance.
8/8/2013 1:47:00 PM

Data Mart Calculator
Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be changed to fit your needs. Find out more.

AVAILABLE SUPPLY CHAIN DATA SCM:
5/22/2009 11:18:00 AM

Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an

AVAILABLE SUPPLY CHAIN DATA SCM: strong argument for commercially available software. User Recommendations Before attempting to acquire software in the data migration category, companies should study the scope of their data warehouse/data mart/data consolidation efforts to determine what type of solution is appropriate. Many market surveys have revealed that one of the largest hidden costs in these type of projects is incorrect or impure data, so any effort to automate the process of uncovering problems sooner rather than later
2/15/2001

The Three V s of Big Data
Big data is currently garnering a tremendous amount of attention, and thought leaders often point to three key attributes: volume, velocity, and variety. The analysis of these three key attributes can be extended into understanding what big data means to the financial planning and analysis function. This article identifies the technology developments converging to create the big data rush and examines how the financial planning function is impacted by volume, velocity, and variety of data.

AVAILABLE SUPPLY CHAIN DATA SCM: big data, financial planning, performance management, effective planning.
7/10/2013 10:00:00 AM

Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.

AVAILABLE SUPPLY CHAIN DATA SCM: Data Mining: The Brains Behind eCRM Data Mining: The Brains Behind eCRM Steve McVey - November 6, 2000 Read Comments S. McVey - November 6, 2000 Introduction While customer relationship management (CRM) gets a lot of attention, one important component is often overlooked - how a company effectively uses its existing customer data to improve customer loyalty while also identifying new potential buyers of products and services. Data mining has emerged from obscure beginnings in artificial intelligence to
11/6/2000


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