A car maker uses data from its online configurator pulled together with purchasing data of downstream players to identify options that customers are willing to pay a premium for. With this information, it has reduced the options on a single model to just 13,000— its competitors offer 27,000,000.
Automotive
A company during its operation uses a technology to assess the composition of materials. Every time the technology is used, it contributes to a large database of scanned materials. These information that are useful for many different businesses in different industries are sold by the company.
A Logistics company developed an image recognition and processing technology using augmented reality. Workers wear a headset that presents vital information coming from suppliers and other functions on a see- through display, helping them locate items more quickly and precisely, thus fulfilling legal obligations as well. And with both hands free, they can build stronger and more efficient pallets, which may preserve fragile items.
Logistics
Manufacturing
A major industrial goods company implemented an integration platform by combining information of its functions, suppliers and clients. The platform has allowed to manage the manufacturing processes, synchronize the availability of materials, and use a standard bill of materials in its plants globally.
An electronics manufacturer installed collaborative robots in order to streamline labeling and inspection processes on 10,000 SKUs across six assembly lines. Some were fitted with vision systems to inspect parts and by incorporating real-time data from sales channels they optimized the delivery.
High Tech & Electronics
A business that operates in the agriculture industry is using sensors, that capture data on soil conditions, to assess when to irrigate and spray insecticides. In addition, is using IoT health monitors on livestock to help avoid losses. Those data are sold to machinery and chemicals producers that, with the new information, are able to optimize their offer.
Agribusiness
AUTOMOTIVE
An OEM builds cars almost totally through 3-D printing, with a design derived from a data exchange; several players of the automotive ecosystem and outsiders share information for different gains: the result is a shared knowledge that produces an optimized design.
An African gold mine started to capture more data from its and suppliers sensors. New combined data showed some hidden fluctuations in oxygen levels during leaching, a key process.
Metals & Mining
Manufacturing
One Industrial giant in the USA is spending millions to analyze data from sensors on gas turbines, jet engines, oil pipelines, and other machines and aims to generate, from those data, more than 10% sales increase in the next 3 years. To make sense of those new streams of data, the company is combining its own information flows with external data (customer, suppliers, etc.) and submits them to analytics software.
High Tech & Electronics
A consumer-electronics OEM started with an energetic effort to combine information on more than 1,000 variables previously collected in silos across millions of devices and sources: product sales and usage data, channel data, online transactions, service tickets, plus external data from tier one and tier two customers. Mining this integrated data set allowed the company to discover more than ten unrealized opportunities.
Manufacturing
A manufacturing company uses sensors to check humidity in order to optimize painting; if the conditions are unfavorable, the work piece is sent to another part of the plant, thus reducing repainting and maximizing plant uptime. Data is then shared with paint suppliers or sold to other paint producers that can adapt their products to the market requests or can explore new niches.
Oil & Gas
One oil rig with its 30,000 sensors leveraged only 1 percent of the data collected because it used the information primarily to detect and control anomalies, ignoring the data greatest value. After having assessed the potential of its data asset the company started to employ part of the information for the optimization and prediction activities and put a price, on the other part, selling it to business partners and to others.
A German chemical company sold over 10 years of its R&D data related to one particular segment. This very unique and valuable asset has been sold for a further development to a strategic acquirer.
Chemicals
AUTOMOTIVE
A global tire manufacturer installed sensors on its tires to gather data in real time on tire pressure, temperature, speed. The data combined with fuel consumption and localization data is incredibly useful to accurately make recommendations in order to reduce fuel consumption. The manufacturer also uses the data to charge customers for tires on the basis of the distance travelled and sells data to retailers for marketing purpose.