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Like it or not, manufacturing is moving faster and leaner as the dated, status-quo business systems fall to the wayside.
More than ever, the manufacturing industry must corral and understand massive amounts of data from many systems to drive operational efficiencies, higher levels of service, and support.
Having the ability to explore the impact and interplay across production efficiency, product quality, customer demand, and service excellence simply isn't possible without big data and meaningful analytics.
In this whitepaper, you'll learn about:
We've also pulled out the first several pages of the whitepaper for you to read. Download the PDF on the right to read the rest.
Here are four ways leading manufacturers are
revolutionizing their industry with data:
People within manufacturing have traditionally accessed data insights via static reports from enterprise applications and business intelligence tools, all managed and used only by the IT department. This old way, predominantly designed and built in the 1990s, is generally complex, inflexible, and time-consuming.
Because the best analytics implementations are user-created dashboards running on top of IT-managed infrastructure, optimization for self-service is key.
Self-service analytics will empower individual manufacturing employees and entire organizations alike to see and understand data across the demand chain, within production operations and throughout the entire service life cycle.
With added visibility into operational performance, employees will be able to monitor data throughout the entire organization and apply it to strive for continuous business and process improvements via the philosophies of six sigma or lean principles.
Self-service also supports the implementation of the DMAIC framework to support a data-driven improvement cycle allowing an individual to explore and identify the root cause of product defects or bottlenecks.
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