Master Data Is Not a Buzzword, It’s the Secret Sauce to Successful Business Operations

Accurate asset master data is crucial to the success of your maintenance and operations. To do this well, your enterprise asset management (EAM) system should be an accurate reflection of your physical site/plant. However, this is often a challenge because your company's EAM system quickly gets out of date.

Many companies recognize this but then approach it through a time-consuming and error-prone process that is inefficient and often leads to them wanting more.

In this webinar, we will discuss the best approach to master data management, the importance of clean and standardized master data, how to capture information quickly and inexpensively, the benefits of a mobile approach to data capture, and how Prometheus Master Data can help you sustain your master data.

For many organizations, bad master data is an everyday challenge. Unfortunately, most organizations only see one solution to this problem: hire a consulting firm every 3-5 years to cleanse the data.

However, this is costly and doesn’t address the true issue at hand – poor master governance. With the correct master data governance processes in place, you only have to cleanse your data once rather than paying for multiple master data projects year after year.

In our webinar, we will discuss best practices for master data management, such as defining goals and a vision for your master data strategy, getting executive sponsorship with a focus on ROI, selecting the best tools for the job, mapping out your master data processes, adopting the right architecture and standards, building a strong foundation for MDM, establishing strong data governance standards, and monitoring governance with metrics.

Huntsman Corporation is a leading global manufacturer of differentiated and specialty chemicals, operating more than 70 manufacturing, R&D, and operations facilities in over 30 countries.

With a decision to move to SAP S/4HANA to align the organization and standardize its processes as well as maintain a competitive advantage, Huntsman realized that they had many sites with different and disparate data management processes and began to notice gaps and inconsistencies in master data across sites. Recognizing the need for a solid and trusted data foundation to maximize the ROI of their SAP S/4HANA transition and improve asset management, Huntsman knew they needed better master data management tools and solutions to achieve its desired results.

In this webinar, Richard Venable, Huntsman's BPO for SAP Plant Maintenance and Maintenance Process Expert for Global Excellence Team, will discuss reasons Huntsman decided to make a transition to SAP S/4HANA, why Huntsman chose to implement Prometheus Master Data as a Service, how Prometheus Master Data as a Service addresses master data challenges, and benefits of improved master data across Huntsman Corporation.

While good data can be your most strategic asset, bad data can be catastrophic. Research has found that 84% of CEOs are concerned about the integrity of the data, while 91% of organizations have not reached “transformational” levels of maturity in data and analytics.

Data you don’t trust is not really data. Dirty data can result in costly errors in material procurement, poor maintenance management, and excess inventory carrying costs. Master data, such as functional location and equipment data, is the foundation for every enterprise resource planning (ERP) system like SAP. And it is the framework organizations use to build out their asset management strategy.

During the initial implementation of the ERP, enterprise asset management (EAM), or computerized maintenance management system (CMMS), organizations go to great lengths to create and organize their master data to ensure accuracy for maximum effectiveness. However, many companies struggle with standardization and don’t have a sustainable master data program.

In this webinar, you’ll learn:
• Best practices for master data
• Why the accuracy of master data makes maintenance management run smoothly.
• How master data-as-a-service (MDaaS) eliminates traditional master data challenges.

Many organizations struggle with disorganized and unreliable master data, which hinders their ability to make informed choices, efficiently allocate resources, and proactively execute strategies.

Fortunately, there are ways to clean and standardize your master data to improve its reliability and accuracy. With improved master data, you can make strategic decisions and ultimately improve the productivity of your entire maintenance department.

In this webinar, we will discuss what good enterprise asset master data looks like, how inaccurate master data can affect maintenance operations, and what clean data can do to help organizations achieve their maintenance goals.

Many maintenance and operations teams know they need better data. However, in order to get your organization’s buy in to improve your master data, you still need to present a compelling business case.

In our webinar, we walk through the current landscape of master data projects and things to consider when developing your business case.

We’ll discuss challenges organizations face with poor master data quality, how to quantify the costs of poor data quality in asset management, how to articulate the benefits of improved asset master data quality, how improving data quality aligns with goals and strategic objectives, and real-world master data management case studies and success stories.

Poor master data quality in enterprise asset management can lead to significant operational, financial, and safety risks. This webinar explores the critical importance of maintaining accurate and consistent master data. We'll examine how subpar data management can result in decreased asset reliability, inefficient maintenance, increased costs, safety compliance issues, impaired decision-making, longer training periods, and challenges in performance tracking. Learn about the processes necessary to monitor and maintain high-quality master data, ensuring your organization avoids costly mistakes and operates at peak efficiency.