SYS-CON MEDIA Authors: Pat Romanski, Gary Arora, Zakia Bouachraoui, Yeshim Deniz, Liz McMillan

Related Topics: Cognitive Computing , @CloudExpo, @DXWorldExpo, FinTech Journal, @ThingsExpo

Cognitive Computing : Article

Is #Blockchain Enabler of Data Monetization? | @CloudExpo #BigData #FinTech

Creating marketplaces where companies, individuals & smart entities can share/sell/trade/barter their data & analytic insights?

Special thanks for the help on this blog to the coolest, most hip group of industry experts that I have ever met: the Pathfinders. The Pathfinders is an elite forces group of master system engineers inside of Dell EMC who tackle our customers’ most difficult and inspiring challenges. I am honored to be part of that club!

Suppose an autonomous vehicle learns of a more efficient route and wants sell this knowledge to other autonomous cars for a fee (using blockchain to handle machine to machine transaction). Suppose the autonomous vehicle could start to monetize itself; to self-fund its own operations and the acquisition of goods and services such as gas, repairs or vehicle upgrades (using blockchain to conduct commerce).  Now suppose the autonomous vehicle could couple real-time analytics of vehicle performance and maintenance with real-time bidding for maintenance servicing and replacement parts (blockchain inserted again). Lastly, think “intelligent” vehicle depreciation and salvage value optimization where the autonomous vehicle continuously scours used car and auto parts markets for vehicles in need of older chassis, transmission and electrical components (again leveraging blockchain).

Is blockchain the ultimate enabler of data and analytics monetization; creating marketplaces where companies, individuals and even smart entities (cars, trucks, building, airports, malls) can share/sell/trade/barter their data and analytic insights directly with others?

The impact that has on a company’s financials could be overwhelming, or devastating, depending upon what side of business model transformation you sit.

What Is Blockchain?
An extensive explanation of blockchain is beyond the scope of this blog, and way beyond the capabilities of this author, but in its simplest blockchain is a data structure that maintains a digital ledger of transactions among a distributed network of entities.  Think of a “distributed ledger” that uses cryptography to allow each participant in the transaction to add to the ledger in a secure way without the need for a central authority or central clearinghouse.  Figure 1 provides a nice visual of the workings of a blockchain.

Figure 1: Source: http://www.cmswire.com/information-management/how-to-use-blockchain-technology-to-retain-more-customers/

For example, imagine a spreadsheet that is duplicated thousands of times across a network of computers. Then imagine that this network is smart enough to automatically update this spreadsheet any time someone makes a change to one of the versions of the spreadsheet.  Information held on a blockchain exists as a shared — and continually reconciled — database. The blockchain database isn’t stored in any single location, meaning the records it keeps are truly public and easily verifiable and easily shared.

A shared, distributed ledger (blockchain) has the following Big Data ramifications:

  • Common access to the same data for all parties involved in the transaction. This should accelerate data acquisition, sharing, data quality, data governance and ultimately, data analytics.
  • Provides a detailed register of all transactions or engagements kept in a single “file” or blockchain. It provides a complete view of the entire transaction, from engagement start to engagement finish.  No need to integrate pieces of data from multiple systems in order to create a single view of the entire engagement or transaction history.
  • Provides the ability to manage and control one’s own personal data without the need for a third-party intermediary or centralized repository.

Blockchain provides the potential to truly democratize the sharing and monetization of data and analytics by removing the middleman from facilitating those transactions (potentially acing out those middlemen).

Blockchain and Big Data
BusinessWeek published an article titled “Wal-Mart Tackles Food Safety with Trial of Blockchain” that describes about how Wal-Mart is using blockchain to manage product recalls and the related safety and health issues (being a big fan of Chipotle, I understand fully the ramifications on recalls and safety!). The article states:

“Like most merchants, the world’s largest retailer struggles to identify and remove food that’s been recalled. When a customer becomes ill, it can take days to identify the product, shipment and vendor. With the blockchain, Wal-Mart will be able to obtain crucial data from a single receipt, including suppliers, details on how and where food was grown and who inspected it. The database extends information from the pallet to the individual package.”

And while Wal-Mart is concerned from pallet to the individual package, what if we could leverage the rapidly decreasing costs of sensors by placing low-cost sensors on individual product in order to extend that supply chain view all the way through to individual consumer’s product consumption and usage?  What if manufacturers and distributors could monitor consumer product usage patterns in order to better service the individual consumer by placing sensors on every product (tube of Crest, bottle of Tide, package of donuts)?  Having detailed insights into the consumer’s product consumption and usage holds untold business potential to manufacturers, distributors, retailers and consumers alike.

Now imagine how the individual consumer would control or manage who has access to that data through the use of blockchain.  This could put consumers in a position to negotiate with manufacturers and distributors (either individually or through consumer associations) pricing discounts in exchange for their personal consumption data.

The combination of blockchain and product-based sensors could enable Consumer Goods Manufacturers to develop detailed customer usage and consumption insights including:

  • How often does Jane Smith use the detergent?
  • Are there certain times and/or days of the week where Jane Smith is using the product?
  • How much does she use per load?
  • How much product does she have left?
  • When do you expect that she will need to refill or reorder?
  • Are there variations in how much she uses?

Summary
Blockchain holds the following ramifications for Big Data:

  • Access to granular, detailed transactional and consumption data around which to build detailed analytic (behavioral) profiles for individual suppliers, products and the sources of products and the product’s components (acreage, trees, plants, livestock, crops)
  • Integrating detailed transactional and usage data from source through consumption
  • Analytics that address supply chain and consumption chain including waste, shrinkage, safety, tampering, laundering, fraud, theft, obsolesce and optimization

Access to the detailed consumer product usage and consumption data would explode the potential of big data to optimize key business processes, reduce regulatory and compliance risks, uncover new monetization opportunities, and create a more compelling consumer experience.

Sources

The post Is Blockchain Ultimate Enabler of Data Monetization? appeared first on InFocus Blog | Dell EMC Services.

More Stories By William Schmarzo

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Hitachi Vantara as CTO, IoT and Analytics.

Previously, as a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

Latest Stories
Every organization is facing their own Digital Transformation as they attempt to stay ahead of the competition, or worse, just keep up. Each new opportunity, whether embracing machine learning, IoT, or a cloud migration, seems to bring new development, deployment, and management models. The results are more diverse and federated computing models than any time in our history.
On-premise or off, you have powerful tools available to maximize the value of your infrastructure and you demand more visibility and operational control. Fortunately, data center management tools keep a vigil on memory contestation, power, thermal consumption, server health, and utilization, allowing better control no matter your cloud's shape. In this session, learn how Intel software tools enable real-time monitoring and precise management to lower operational costs and optimize infrastructure...
"Calligo is a cloud service provider with data privacy at the heart of what we do. We are a typical Infrastructure as a Service cloud provider but it's been designed around data privacy," explained Julian Box, CEO and co-founder of Calligo, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leadin...
While a hybrid cloud can ease that transition, designing and deploy that hybrid cloud still offers challenges for organizations concerned about lack of available cloud skillsets within their organization. Managed service providers offer a unique opportunity to fill those gaps and get organizations of all sizes on a hybrid cloud that meets their comfort level, while delivering enhanced benefits for cost, efficiency, agility, mobility, and elasticity.
DevOps has long focused on reinventing the SDLC (e.g. with CI/CD, ARA, pipeline automation etc.), while reinvention of IT Ops has lagged. However, new approaches like Site Reliability Engineering, Observability, Containerization, Operations Analytics, and ML/AI are driving a resurgence of IT Ops. In this session our expert panel will focus on how these new ideas are [putting the Ops back in DevOps orbringing modern IT Ops to DevOps].
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understa...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Most organizations are awash today in data and IT systems, yet they're still struggling mightily to use these invaluable assets to meet the rising demand for new digital solutions and customer experiences that drive innovation and growth. What's lacking are potent and effective ways to rapidly combine together on-premises IT and the numerous commercial clouds that the average organization has in place today into effective new business solutions.
Concerns about security, downtime and latency, budgets, and general unfamiliarity with cloud technologies continue to create hesitation for many organizations that truly need to be developing a cloud strategy. Hybrid cloud solutions are helping to elevate those concerns by enabling the combination or orchestration of two or more platforms, including on-premise infrastructure, private clouds and/or third-party, public cloud services. This gives organizations more comfort to begin their digital tr...
Keeping an application running at scale can be a daunting task. When do you need to add more capacity? Larger databases? Additional servers? These questions get harder as the complexity of your application grows. Microservice based architectures and cloud-based dynamic infrastructures are technologies that help you keep your application running with high availability, even during times of extreme scaling. But real cloud success, at scale, requires much more than a basic lift-and-shift migrati...
David Friend is the co-founder and CEO of Wasabi, the hot cloud storage company that delivers fast, low-cost, and reliable cloud storage. Prior to Wasabi, David co-founded Carbonite, one of the world's leading cloud backup companies. A successful tech entrepreneur for more than 30 years, David got his start at ARP Instruments, a manufacturer of synthesizers for rock bands, where he worked with leading musicians of the day like Stevie Wonder, Pete Townsend of The Who, and Led Zeppelin. David has ...
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understa...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Addteq is a leader in providing business solutions to Enterprise clients. Addteq has been in the business for more than 10 years. Through the use of DevOps automation, Addteq strives on creating innovative solutions to solve business processes. Clients depend on Addteq to modernize the software delivery process by providing Atlassian solutions, create custom add-ons, conduct training, offer hosting, perform DevOps services, and provide overall support services.