Solution brief Internet of Things Manufacturing and Logistics Datumize and Intel Transform Dark 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 . 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 . 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 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 and vehicles within a warehouse, using the existing, for logistics multivendor Wi-Fi infrastructure. This data is merged with warehouse management system (WMS) activity to provide analytics pertinent to security and productivity

Now, this company can access advanced metrics that allow managers to answer questions and make decisions about key aspects of their business, such as:

SECURITY WAREHOUSE MONITORING WORKFORCE METRICS PRODUCTIVITY METRICS • Precise locations of vehicles • Heat maps (static) • Worker arrival, departure, and • Determines which products have • Population of distinct areas • Flow maps (dynamic) breaks the most or least requests • Precise locations of goods, and • Viewed by time, device, vehicle, • Workforce productivity • Tracks time per and between playback when goods are missing zone, or product • Workers tracked via vehicle or operation: storage, pickup, and handheld device replacement • Health and stress indicators, such • Full activity analysis by device, as tracking how many hours a family, and product, including worker engages in warehouse geopositioning that details each activity activity per order, and its precise location

3 Solution Brief | Datumize and Intel Transform Dark Data into Operational Insight for Manufacturing and Logistics

In addition to manufacturing and logistics, many other How it works in brief industries are taking advantage of the Datumize solution to increase actionable data-driven insight and improve Datumize’s key middleware software agent, Datumize Data operational efficiencies. Collector (DDC), captures data from networks and devices, conducting near-real-time data processing and data Utilities integration for numerous storage platforms. Gas Natural Fenosa is a natural gas and electricity utility DDC captures in-flight data that is being exchanged either headquartered in Barcelona that operates in many countries from an application at the back end or a device. It also in Europe and worldwide. It utilizes the IoT gateway to capture supports pull- data extraction for proprietary and available metrics for industrial electricity operations, so that closed protocols typically used by machinery and industrial a full record is uploaded into corporate storage. This allows equipment. Captured data is processed to make it usable Natural Fenosa’s customers to be compliant and benefit from by modern analytical systems, for example, changing the smart metering without renewing expensive hardware. older proprietary format to a new XML or JSON format. Transformed information is stored in a data platform running Datumize Observer Gas Natural Fenosa analytics and reports. Multiple platforms and vendors are physically connected big data platform Old to meter and supported. DDC works across multiple network protocols (not connected) controlled remotely Meter: 1234 electricity meter Time stamp: XX Full metric (e.g., IP, industrial), in near real-time and with cloud, as well as Consumes: 12.2 history Load: 3.0 supporting Hadoop* and NoSQL* storage. Datumize Observer* Metrics periodically read, processed, and transmitted

Analytical platform

My energy Energy Electricity consumption efficiency customer dashboard dashboard Deep business understanding Business user

By gathering and analyzing utilities dark data, Datumize Observer* helps to transform obsolete equipment into smart meters

Healthcare A healthcare customer in the United States was using proprietary, closed analytical machines (e.g., blood, urine, serum). Because critical and expensive processes were tightly coupled to vendors’ machines and management software, new business models were restricted. Datumize technology was plugged into these healthcare analytical machines to make previously inaccessible data usable. Advanced analytics, enhanced business processes, and new business Positioning and heat mapping are just two examples of the type models are now supported, because dark data has been of dark data the Datumize solution can collect and analyze converted into actionable information.

“The warehousing business is challenged to create efficiencies because we operate on high volumes and ever-decreasing margins. We reset our milestones every single day, and customers can add a lot of pressure and uncertainty. We were used to analyzing data and making decisions, but now Datumize enables us to extract additional value based on data that we could not see before. We receive insights almost instantly—from both existing and new data—about the position of vehicles and devices inside our warehouses, and that is a competitive advantage for us.”

CTO, European logistic company (Spanish subsidiary)

4 Solution Brief | Datumize and Intel Transform Dark Data into Operational Insight for Manufacturing and Logistics

DATUMIZE SOLUTION FEATURES Advanced networking techniques like packet sniffing and deep packet inspection, together with support for multiple Unobtrusive capture protocols, allow unobtrusive data capture at the data center for any back-end system. Near-real-time Scalable and near-real-time data processing in a high-performance engine. Processing activities include filtering, processing intelligent selection, transformation, and compression of captured data. Modular components are supported for extensible functionality. Out-of-the-box components and APIs are available as well. Modular Data applications are defined in a pipeline, made out of data sources, processors, and sinks, all connected by data streams. Intensive, detailed monitoring available for local access by the operations team, or remotely in Datumize cloud Monitoring dashboards. Architected for large Designed for seamless integration with common enterprise technologies for computing, virtualization, storage, organizations analytics, and visualization.

Administration Extensive administration capabilities for mission-critical environments through a console or API.

Ultra-lightweight technology based on Java*. Portable by design and runs on a variety of hardware, and operating Lightweight and systems, ranging from high-end virtual/physical servers in the data center to minimalist Intel® architecture-based IoT portable gateways at the edge.

Conclusion About Datumize To gain value from dark data, companies must first access Datumize Data Collector technology helps and analyze it. With Datumize and Intel, manufacturing and companies capture, unlock, and get results logistics organizations, as well as many other industries, out of dark data that lies within their can uncover the previously hidden data to support growth, organizations—from the data center to reduce operating costs, increase productivity, and help physical premises and the edge. achieve operational excellence. datumize.com

Learn More The foundation for IoT For more information about Datumize, please visit Intel works closely with the ecosystem to deliver smart datumize.com, or contact us at contact@datumize. IoT solutions based on standardized, scalable, reliable com or +34 93 595 23 43. Intel® architecture. These solutions range from sensors and gateways to server and cloud technologies to data For more information about Intel® IoT Technology and analytics algorithms and applications. Intel provides the Intel® IoT Solutions Alliance, please visit essential end-to-end capabilities—performance, intel.com/iot. manageability, connectivity, analytics, and advanced security—to help accelerate innovation and increase revenue for enterprises, service providers, and vertical industries. Intel can help organizations use data to monitor, control, optimize, and benchmark, as well as to share historical and near-real-time information to improve decision-making.

1. idc-community.com/groups/it_agenda/bigdataanalytics/unlocking_the_hidden_value_of_information 2. https://www. veritas.com/en/aa/product/information-governance/global-databerg 3. Enabling the Internet of Things, IHS Markit, 2016, ihs.com/Info/0416/internet-of-things.html Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software, or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer, or learn more atintel.com/iot . Cost reduction scenarios described are intended as examples of how a given Intel-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

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