SOLUTION BRIEF Internet of Things Manufacturing and Logistics Datumize and Intel Transform Dark Data into Operational Insight for Manufacturing and Logistics Delivering value from dark data with smart middleware and an Intel® architecture-based IoT gateway Executive summary Today’s manufacturing facilities and logistics operations rely on data to maximize production, monitor quality, and support growth. But too often, critical data exists beyond what is routinely captured and analyzed. This “dark data” is dispersed across processes, protocols, devices, and systems, and inaccessible by many legacy infrastructure configurations and even modern analytical platforms. “Datumize has become a critical Until now there has been no way to unobtrusively capture, analyze, and extract data engine for our business. knowledge from dark data. Datumize, located in Barcelona, Spain, specializes in capturing and transforming dark data into actionable operational intelligence. The metrics and insights we now Datumize products, powered by Intel® architecture-based IoT gateways, seamlessly collect and process dark data and transform it into business intelligence. With this consider are changing the way added insight, companies can make informed decisions and help increase growth, we do business, and we have productivity, and operational efficiency. achieved more than 40 percent Challenges year-to-date growth.” There’s no question that today’s businesses operate in a complex digital world full of data-generating systems, devices, and machines. Data sources impacting Vicente Guerola business range from e-commerce, ERP and CRM systems, and mobile and web applications, to industrial machines and sensors, Wi-Fi, and people. At the same Manager, Globalia time, manufacturing and logistics organizations must compete in a rapidly evolving landscape impacted by the growth in machine learning and environmental monitoring, wearables, analytics, and other new technologies, as well as the security risks of connected infrastructure. Not all data is stored and analyzed. According to IDC, “Unstructured content accounts for 90 percent of all digital information. This content is locked in a variety of formats, locations, and applications made up of separate repositories. When connected and used properly, such information typically can help increase revenue, reduce costs, respond to customer needs more quickly and accurately, or bring products to market faster.”1 Dark data is data that already exists both inside and outside an organization but is not accessible and, thus, not used for informed decision-making. Despite its potential value, this data often remains dark due to the high cost, risk, and complexity of acquisition. Up to 65 percent of dark data is hidden within machines, networks, and people.2 Furthermore, 10 percent of additional data is redundant, obsolete, and trivial (ROT) with a cost to global industry expected to reach USD 4.6 trillion by 2020.2 The amount of dark data that exists now is staggering, and as the Internet of Things (IoT) becomes more commonplace, its growth will be exponential. It is estimated that there will be more than 30 billion connected devices by 2020 and more than 75 billion by 2025, each potentially containing valuable dark data.3 Solution Brief | Datumize and Intel Transform Dark Data into Operational Insight for Manufacturing and Logistics Solution Datumize has created an innovative solution—powered by Common sources of dark data include: an Intel architecture-based IoT gateway—designed to • Enterprise software, such as ERP, CRM, or business-to- recover dark data and transform it into relevant information business web services. These systems usually record that supports better manufacturing and logistics decisions. committed transactions, such as purchase orders. However, Datumize captures dark data from software systems within all in-flight transactions (e.g., product lookups, asking for a the data center, and from people, vehicles, devices, and quote or availability) are never stored. Capturing this data machines at the edge. The resulting intelligence yields represents a huge business opportunity for understanding increased revenue by identifying lost opportunities, the full sales funnel, including lost sales. operational efficiencies, and hotspots. • Wi-Fi networks widely deployed across all kinds of Dark data resides in central data centers, or it can be premises. Though these systems are designed to provide scattered across multiple remote locations, such as wire-free connectivity, they have the interesting capability warehouses, factories, or distributors. Dark data can come to contain dark data related to device presence and motion. from networks and servers, industrial machines, sensors, • Manufacturing systems and equipment designed and IoT devices, software, and phones. built to fit a specific purpose, such as wrapping boxes with plastic. These systems rarely provide standards-based connectivity to publish internal metrics due to vendor lock- in and obsolescence. For companies that deliver critical operations based on that equipment, the lack of dark data inhibits key decisions that can lead to productivity improvements. DATUMIZE DATA COLLECTOR Web Machines ERPCRM Process in Store in big data real time INTERNAL DATACENTER platforms NETWORK Facilitate deep CAPTURE PROCESS INTEGRATE analytics DATA DATA DATA REAL WORLD DEVICES/PEOPLE Get business Business insights Cloud Data files applications Make business OTHER SOURCES decisions Datumize solutions powered by the Intel® architecture-based gateway enable organizations to capture, process, and integrate dark data “ Datumize has given us full visibility into our existing SOA infrastructure without the hassle of modifying existing applications. This technology has been key for the new kind of governance based on real usage of our services, and also deep analysis of the business implications of certain critical operations.” Aritza Iratzagorria Garay, IT infrastructure director, Osakidetza 2 Solution Brief | Datumize and Intel Transform Dark Data into Operational Insight for Manufacturing and Logistics The Datumize portfolio Benefits for manufacturing and logistics environments Datumize Data Collector* (DDC*) is Datumize’s The Datumize and Intel solution provides the manufacturing and logistics core product, usually distributed via OEMs. It industries with advanced metrics, dashboards, and alerts based on dark uses advanced networking technology, along data that could not previously be accessed. with proprietary and innovative dark data Track robotics and align with predictive maintenance collection software. The modular solution Industry 4.0 includes the capability to understand multiple solutions. protocols and systems, and can be deployed in Analyze data frequency Increase visibility into workforce and machine activity. the data center or on an IoT computer at Detect anomalies on internal networks, detect online the edge. Anomaly detection threats, and address problems in near-real time. Datumize Kosmos* captures customer behavior over online and back-office systems using Analyze machine behavior in near-real time and access Machine learning critical system metrics, with data stored locally for fast high-value operational data. Captured data response. can be stored locally, in the cloud, directly on servers, in third-party applications, or in one of Eliminate physical device configuration or user Plug and play Datumize’s secure solutions. This captured dark intervention for Datumize Observer devices. data is then analyzed and used to optimize the Understand the flow of workers and vehicles within an workplace by streamlining processes. Heat maps environment. Datumize Observer* captures customer, employee, and machine behavior in the Track employees, vehicles, and goods across the workplace, using people’s locations, and Security factory or warehouse, and detect exclusion zones or employee shift overload. machine metrics. For example, unique machine learning algorithms enable predictive Track employees across the factory or warehouse, and Productivity maintenance and support Industry 4.0. compute distance and actual path for each work order. Sample use cases A European logistics company that operates more than Customer Datumize Observer big data platform 30 warehouses in Spain wanted to gain deeper operational deployed to each warehouse Device: 2.2.2.4 understanding of activity in its facilities. One of its major Time stamp: XX challenges, and a challenge for the industry as a whole, is Position: x, y Vehicles Nearest AP: 1.1.2 sustaining and increasing productivity. Any optimization or Datumize * change affects the hundreds of employees who work each shift, Observer Device position Wi-Fi periodically read, and warehouses are staffed 24/7. Warehouse managers know infrastructure processed, and (access points, that security issues can affect both people and goods, and that transmitted work orders and the locations of goods must be continuously controller) Handheld devices adjusted. Operations are extremely complex—to optimize (employees) them, managers require reliable performance indicators that Security and productivity monitor and provide early detection of any deviation. Increased productivity dashboards Warehouse Security tracking With Datumize Observer, an appliance running on Intel manager architecture-based IoT hardware, this logistics company accesses data that shows the exact positions of handheld Datumize Observer* running on Intel IoT hardware solution devices