Data management solutions for manufacturing
Boost production efficiency, lower procurement costs, and keep your AI outcomes defensible.
Turn manufacturing data into business intelligence
Manufacturers run on master data, from SAP and ERP records to supplier systems and materials. Reduce manual effort and improve the quality of your data across every system that touches production, without disruption, using Precisely solutions.
“Nothing else compared to it, and we were very, very happy with our decision to use Precisely Automate.”
Jill Edge, Master Data Analyst
Carhartt
Removing the manual work, enhancing data quality
Hubbell eliminated manual data entry, improving overall SAP data quality and minimizing the burden on their IT resources.
Fix the SAP data errors that slow your operations
Bad material master data in SAP creates downstream problems that are hard to trace and expensive to fix, including procurement errors, production delays, and untrustworthy analytics. Keep your SAP records accurate, governed, and aligned with the real state of your products and processes.
- Reduce manual data entry and validation effort by automating the creation and governance of SAP material master data to enforced standards.
- Keep records accurate as products and processes evolve with automated validation workflows that catch issues before they reach production.
- Maintain data quality through SAP implementations and migrations using process automation that works alongside your existing SAP environment.
Connect product, supplier, and location data with MDM
Product, supplier, and location master data spread across disconnected systems can’t give you the full picture. Support stronger operations, reporting, and digital transformation efforts with an accurate, unified source of truth for your teams.
- Establish one trusted view of data across product, supplier, and location domains by connecting your systems to a single governed repository with multi-domain MDM.
- Cut procurement costs and strengthen supplier performance by standardizing vendor data across every business unit.
- Give your analytics and AI initiatives master data they can act on with consistent, governed master records that make outputs defensible.
What manufacturers get when their data is right
- Reduce manual data entry by automating SAP material master data creation and governance to enforced standards
- Catch data issues before they reach production with automated validation workflows that keep records accurate as products and processes evolve
- Eliminate inconsistencies across product, supplier, and location records with multi-domain MDM connected to a single governed repository
- Give analytics and AI initiatives consistent, governed master records with MDM capabilities that make outputs defensible
Frequently asked questions
What is data management for manufacturing?
Data management for manufacturing is the discipline of breaking down data silos and improving the quality of data across the systems that support manufacturing operations. Process automation and master data management capabilities support the foundation manufacturers need to run analytics, automation, and AI on data they can trust.
How can manufacturers improve SAP material master data quality?
Improving SAP material master data quality typically requires a combination of automated validation, standardized creation workflows, and ongoing monitoring. Precisely SAP master data management solutions automate these processes, reducing manual errors, enforcing data standards, and keeping material master records accurate as products and processes evolve.
Do manufacturers need Precisely EnterWorks, Precisely Automate, or both?
It depends on where data challenges are most acute. EnterWorks is the right starting point for manufacturers whose primary pain is inconsistent product, supplier, or location master data. Precisely Automate (Evolve or Studio) is ideal for organizations that need to improve SAP data workflows and automation. Many manufacturers benefit from both, particularly where SAP and MDM processes intersect.
Where should a manufacturing data management program begin?
Most successful programs start with a clear picture of where data gaps are causing the most pain, whether that’s inaccurate master data in SAP or unreliable data feeding automation, analytics, and AI. Start with a data assessment that identifies the highest-value improvement areas, then building incrementally from a shared data foundation.
How should manufacturers measure the value of data management?
The most meaningful measures connect data quality directly to operational outcomes: reduction in production errors tied to bad data, improvement in on-time delivery rates, faster SAP data processes, reduction in compliance incidents, and lower procurement costs from standardized supplier data. Precisely works with customers to establish baseline metrics and track improvement as data management programs mature.