Master the Basics, Maximize Results
The stakes in your digital transformation journey are high. Find out how to improve data integrity through three fundamental strategies.
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With a growing push to integrate technologies like AI and ML into operations, businesses can forget to lay a solid foundation before rushing to implement the next best thing.
Successful digital transformation hinges on constructing a foundation to sustain and amplify innovation across generations of technological advancement by optimizing core aspects like data integrity, paperless processes, robust reporting, and accurate decision-making.
The stakes in this transformation journey are high. According to McKinsey research, poor maintenance strategies can reduce a plant’s productive capacity by 5-20%, while unplanned downtime takes an estimated $50 billion toll annually on industrial manufacturers.
Additionally, the 2022 Liberty Mutual Workplace Safety Index revealed that the U.S. manufacturing industry faces over $8 billion in annual losses due to serious, non-fatal workplace injuries.
In asset-intensive industries such as oil and gas, chemicals, utilities, food and beverage, and manufacturing, where the margin for error continues to shrink as operational complexity grows, a pragmatic approach to digital transformation yields sustained benefits.
For organizations leveraging SAP Plant Maintenance, the journey to operational excellence demands particular attention to data cleansing and integrity. Learn three fundamental strategies to set yourself up for success ahead of implementing digital transformation and artificial intelligence, in this exclusive eBook from SIGGA Technologies and ASUG.