Learn how business teams can solve the top 10 customer master data challenges, streamline creation and updates, and improve data quality using smart data management tools designed for SAP. We’ll show how you can use SAP-enabled web forms and Excel workbooks to start taking orders sooner, increase customer satisfaction, and reduce business risk.
Learn about Winshuttle’s data stewardship capabilities.
Having high quality data is essential to running a successful business. How is your organization maintaining, correcting, enhancing, and controlling your data? Data Governance is often the answer, but many are still determining what data governance looks like, and how to get it set up and running in the organization. This e-book is an extension of the white paper “Introduction to Data Governance” and will outline what you need to address to effectively build your data governance framework.
Businesses that want to get a head start on data initiatives have the temptation to embark on massive programs involving significant resources (both tools and personnel). But before launching anything, organizations must have an appropriate foundation in place. In data management, this foundation is known as data governance. This paper explores the benefits of adopting a lean approach to successfully implement a data governance framework
The world we live in today requires a wealth of information to drive our day-to-day interactions. With data leveraged through Smart Apps, electronic gadgets, and easy access to information, having the right data is essential. How is all that data maintained, corrected, enhanced, and controlled? One answer to that question is often data governance, but what does data governance look like, and how can firms get it up and running? This white paper outlines an organizational framework that could be considered to jumpstart the process.
Learn how REI combined SharePoint, Microsoft Excel, and Winshuttle to create a business-critical solution for their order allocation process that reduces end user effort by 86% on average and cuts down potential process errors by 90%.
Managing information with a level of discipline requires a cultural shift for most companies. Therefore, processes like data governance do not move through an organization like a tidal wave of activity. Data governance is an ongoing workstream of data management that is built over time with both tactical and long-term initiatives.
This paper discusses the Materials Domain in terms of its overall identity, common challenges and data governance indicators. It also highlights the most common conditions for data governance in the Materials Domain.