Four Critical Success Factors to Cleansing Data

Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

Featured Software Research:

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

4 Steps to Choosing the Right Device for Field Service Mobility

  • Source: IFS
  • Written By:
  • Published:
Choosing the right device for field service management needs is not easy. This white paper will guide you through the different factors, including your organization’s technology outlook, how a customer’s perceptions of you might be affected by the device, and how the hardware features make your employees more efficient. Know the four steps to consider for choosing the right device for your field service mobility needs. Read More

You may also be interested in these related documents:

Five Critical Points for ERP Success

Enterprise resource planning (ERP) projects are more complicated than other information technology (IT) initiatives because they involve connecting departments across an organization. The value of ERP lies in bringing together data from the entire company, which means ERP implementation involves multiple departments and functional areas. This paper addresses five dimensions of ERP implementation for business success. Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization

Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how. Read More

Developing a Universal Approach to Cleansing Customer and Product Data

  • Source: SAP
  • Written By:
  • Published:
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
 
comments powered by Disqus