Dean of Big Data

William Schmarzo

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Top Stories by William Schmarzo

A recent BusinessWeek article titled “America’s Retailers Are Closing Stores Faster Than Ever” summarizes the epidemic that retailers are facing today (see Figure 1). Figure 1:  Growing Epidemic of Store Closures Retailers are closing stores at a record path and the driving force behind the acceleration in store closings is Amazon, who now accounts for over 50% of all on-line retail sales (see Figure 2). Figure 2:  Amazon’s Growing Dominance of e-commerce; source:  “Competitors Can’t Keep Up With Amazon’s Growth” What are retailers to do when the tricks and techniques that worked in the past just don’t work in today’s real-time data and analytics driven business world?  Business models that worked in a world that valued size and location quickly fall apart in a world where retailers are leveraging customer, product and operational data and analytics to provide a h... (more)

Key to Data Monetization | @CloudExpo #IoT #BigData #Analytics #AI #DX #DigitalTransformation

Many organizations are associating data monetization with selling their data. But selling data is not a trivial task, especially for organizations whose primary business relies on its data. Organizations new to selling data need to be concerned with privacy and Personally Identifiable Information (PII), data quality and accuracy, data transmission reliability, pricing, packaging, marketing, sales, support, etc. Companies such as Nielsen, Experian and Acxiom are experts at selling data because that’s their business; they have built a business around gathering, aggregating, cleansi... (more)

Difference Between #BigData and Internet of Things | @ThingsExpo #IoT #M2M

A recent argument with folks whose intelligence I hold in high regard (like Tom, Brandon, Wei, Anil, etc.) got me thinking about the following question: What does it mean, as a vendor, to say that you support the Internet of Things (IoT) from an analytics perspective? I think the heart of that question really boils down to this: What are the differences between big data (which is analyzing large amounts of mostly human-generated data to support longer-duration use cases such as predictive maintenance, capacity planning, customer 360 and revenue protection) and IoT (which is aggreg... (more)

How to Achieve #DigitalTransformation | @CloudExpo @DellEMC #DX #AI #IoT

Industry after industry is under siege as companies embrace digital transformation (DX) to disrupt existing business models and disintermediate their competitor's customer relationships. But what do we mean by "Digital Transformation"? Digital Transformation The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern technologies (e.g., cloud native apps, Big Data architectures, hyper-converged technologies, artificial intelligence, blockchain) to enhance products, processes, and bu... (more)

Data Lake Plumbers | @BigDataExpo @Schmarzo #BigData #IoT #AI #ML #DL

Many of my blogs promote the business benefits of the data lake, both from a “save me more money” as well as the “make me more money” perspectives. But I fear that I’m making this thing called the data lake sound like a “silver bullet" [1] – just drop the data into the data lake and everything magically works. But much like in the world of data warehousing, there is significant work that needs to be done under the covers – in areas such as metadata management, data governance and security – to ensure that the data lake will perform for a business in a production environment. Ma... (more)