Great Business Begin with Great Master Data

Managing master data in any business can be tremendously challenging. For most SAP customers, the creation and change of master data remains a very inefficient, manual process with no clear data ownership and little to no transparency in the process. Most organizations still utilize email and spreadsheet-driven management of data. The amount and detail of data is ever increasing, especially with omni-channel. Changing regulations and increasing interactions with a complex value chain are forcing organizations to manage master data attributes more accurately and the need for accurate data has grown significantly. Incorrect master data generates high costs across the value chain which impacts the organization’s bottom line.

Governing data at the point of creation and throughout the data lifecycle is one of the most challenging data management exercises for most enterprises. Data governance places controls to ensure data entry meets precise standards driven by business rules and compliance to a robust data model. Data governance consists of processes that ensure strategic data are managed formally throughout the enterprise. That strategic data cuts across domains like materials, supplier and customers.

Typical Benefits

  • Creates and enforces standards for all categories of data.
  • Ensures trusted and high-quality data.
  • Achieves reliable and smart business decisions based on accurate data.
  • Eliminates proliferation of incorrect data.
  • Improves collaboration between departments and when appropriate outside of the four walls of the enterprise.

How Pivox Can Help

01
01
Best Practices

Creates a best practices-driven organizational governance model including roles and responsibilities before implementing a new IT solution.

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02
Data Standards

Guides your organization to create data in a unified and consistent manner that will keep long-term data standards in place.

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03
Data Cleansing

Creates data cleansing routines based on data quality standards and the organization’s business rules.

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04
Process Model

Develops an operational business process model to manage data and the prescriptive guidance to implementing it effectively in a new IT solution.

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05
IT Landscape

Establishes a recommended IT landscape to supports corporate goals in a cost-effective manner.

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06
Data Governance

Provides data governance advice and frameworks in the areas of Materials, Business Partner and Finance Master data.

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