Operational Analytics enable you to run your company more efficiently. These applications help decision-makers identify process bottlenecks, map where costs really occur across an enterprise, and pinpoint potential savings.
Use cases range from supply chain management – improving insights into supply and demand and distribution networks—to areas of risk management, equipment maintenance, facilities operations and site selections.
Below, find highlights from Data Informed’s coverage of analytics applications, technologies and use cases that focus on Operational Analytics.
A combination of data mining and applied predictive analytics is allowing Apache Corp. to be more proactive in its pursuit of improved reliability of its electrical submersible pumps, reducing production losses and increasing output. Read more.
Wix Filters is among the manufacturers using simulations and robots to optimize warehouse performance. Read more.
Greencore, a U.K. fresh food manufacturer, gets real-time sales data to provide visibility into its retail customers’ shelves, improving sales and reducing waste. Read more.
Risk managers discuss how to combine location data with risk management assessments. Read more.
The payoff from investments in predictive and prescriptive analytics comes when front-line workers use the findings to make better business decisions. Read more.
Modernizing global supply chains is about outside-in processes that sense and translate market-to-market and managing products from their manufacture to their end use, writes supply chain expert Lora Cecere. Read more.
John Deere & Company has been a leader in bringing high-tech to the farm field—often referred to as precision agriculture–and it just announced its Wireless Data Transfer, which builds on the company’s existing offerings. Read more.
The fast-food chain is analyzing point-of-sale data, video analytics and 3D simulations of traffic patterns to improve traffic flow and efficiency, thereby improving customer experience and McDonald’s bottom line. Read more.
New data sources mean new opportunities to analyze processes more deeply and to simulate potential improvements in business process management (BPM), says Nathaniel Palmer, a veteran practitioner and author. Read more.
To drive forward with the opportunity presented by big datasets and associated technologies, supply chain executives must bypass the hype and focus on how these new capabilities can redefine their understanding of what their customers demand, writes Lora Cecere. Read more.
A business model emerges from combining data from many consumer websites to predict demand for specific cars. Read more.
Starbucks executives say their latest major expansion plan makes better use of location analytics than an earlier effort begun before the 2008 recession. Read more.
Supply chain consultant Bob Burrows, author of The Market-Driven Supply Chain, discusses what goes wrong with manufacturers’ sales and operations planning processes and how to address those problems. Read more.
A second annual survey shows that more North American electrical utilities are using smart grid data, but a skills shortage has slowed adoption. Read more.
At cosmetics manufacturer L’Oréal, a pilot implementation of a supply chain collaboration initiative has been given the green light for a global rollout. Read more.
The Royal Air Force finds it pays to anticipate when it’s time to replace expensive mechanical parts when your pilots are about to patrol a no-fly zone. Read more.
Raising the stakes of its in-memory database and analytics technology, SAP said it would make available its in-memory HANA technology alongside – and incorporated within – the Business Suite ERP system for which the company is famous. Read more.
Using a wide variety of data sources – including government-sourced weather data, grid monitoring devices, smart meters, satellite imagery, and social media content – GE Digital Energy’s Grid IQ Insight analytics product aims to help utilities pinpoint the locations and causes of power outages faster than conventional techniques. Read more.
IBM said a new software and consulting service would harvest and analyze large datasets in order to minimize the threat of equipment failure. Read more.