Master Data Management and Accurate Data Matching

Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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Expert’s Guide to Successful MRP Projects

To succeed in their tasks, planners and schedulers rely on materials resource planning (MRP) software to make recommendations and send signals. To make meaningful suggestions, MRP requires a steady diet of accurate, relevant, and timely data. This guide breaks down two critical MRP project success factors: 1) tips to select the right MRP software, and 2) best practices to extract meaningful value from MRP solutions. Read More

How to Use Projects to Master Asset Management

  • Source: IFS
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IFS co-founder Ulf Stern and senior advisor Anders Wilhelmsson discuss how project management functionality that is tightly integrated with enterprise asset management (EAM) and asset lifecycle management (ALM) tools is essential to executives of asset-intensive industries. Lacking this integration, valuable asset data is lost and asset utilization cannot be maximized. Read More

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Speeding Time to Market: Reducing Product Introduction Time and Costs with Product Information Management

As product lifecycles continue to shrink and product complexity increases, reducing the time it takes to introduce new products has become a strategic imperative for companies. Businesses must have clean and accurate product data that’s consolidated across sales channels and back-end systems. Find out why product information management and master data management platforms are key to getting products to market faster. Read More

Six Steps to Manage Data Quality with SQL Server Integration Services

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. Read More

Developing a Universal Approach to Cleansing Customer and Product Data

  • Source: SAP
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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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management. Read More
 
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