Like real-time apps on all of your devices? You can thank Event-Driven Architecture

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The world moves in real time, and the demands on individuals, groups, and organizations are constantly changing. This may seem obvious – but many enterprises are still trying to meet their data needs in ways that don’t match this new reality. To keep up with the pace of business, companies must become agile organizations fueled by applications that access, analyze, and distribute data in real time.

Those applications must run on a data fabric that offers the elasticity to scale up and down as needed, efficiently and cost-effectively empowering people with the insights they need to do their jobs better and thus help their companies compete. The foundation of this new data fabric? Event-driven architecture.

Jeff Cotrupe has just launched the event-driven architecture initiative at MongoDB, drawing on insights from colleagues Mat Keep, Eric Holzhauer, and Rob Walters, and his expertise in real-time analytics developed with solutions providers and as an analyst at Stratecast. Current content includes a white paper that helps readers:

  • Explore how the state of the art has quickly evolved from “big data” to fast data — and the implications at an architectural level;
  • Understand requirements, components, and capabilities of event-driven architecture;
  • Learn how MongoDB is core to unleashing the power of real time across the organization; and
  • Review specific use cases and customer proof points presenting companies that are evolving and thriving as a result of working with MongoDB to deploy this innovation- and agility-enhancing architecture.

Jeff Cotrupe tells tales of eTail West, big data, and e-commerce success (or failure) on IDG’s Infoworld blog

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The Retail Death Star (a euphemism for whoever you think it is) has such a glowing reputation for its acumen with data that other companies clamor to know how the Death Star does it. Personal experience suggests myth does not match reality…and two rising stars signal that e-commerce just got a LOT more competitive. Read the full piece here.

Jeff Cotrupe’s Stratecast report analyzes big data at the speed of business: real-time analytics

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BIG DATA

Companies are starting to get a handle on Big Data, accessing all types of data from all relevant sources–but the pace of business, and of life itself, now demands they take it a step further by equipping their people with real-time insights. Jeff Cotrupe’s Stratecast report, Monetizing Core Big Data Technology: Real-time Analytics, is a 29-page analysis of arguably the hottest (and certainly the “fastest”) area of the Big Data and analytics (BDA) market.

The report asserts there is not a private or public organization on the planet that cannot benefit from real-time insights, and illustrates the point with many case study snapshots of companies, from large enterprises to SMBs, which are obtaining not just quantifiable but bankable results through the deployment of real-time analytics. The report tackles business factors shaping the need for real-time analytics; the technologies it takes to deliver it, including in-memory processing; and the need for a balanced view of real-time analytics as one of three “data speeds” companies need today (along with near-real-time and batch analytics).

The report also identifies more than 60 BDA providers, out of the nearly 400 that Stratecast tracks in the market, who deliver the most effective real-time analytics solutions. In addition, each case study snapshot identifies the vendor and specific solution(s) delivering this important capability to the client.

Stratecast publishes Jeff Cotrupe’s report: The Human Bounce Rate

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Can (and Should) Retail/Wi-Fi Analytics Help Retailers Survive in the Age of Amazon?

RETAIL!Stratecast has published Jeff Cotrupe’s report The Human Bounce Rate: Can (and Should) Retail/Wi-Fi Analytics Help Retailers Survive in the Age of Amazon? The report analyzes crucial issues facing the retail industry, which contributes approximately $4 trillion to the economy in the U.S. alone. This massive industry faces sizable challenges including the struggling global economy; The Age of E-tailing (or more brand-specifically, The Age of Amazon); “showrooming,” which occurs when consumers shop for items at retail stores, where they can see, touch, and even try out items, then buy the identical items online at lower cost; and The Battleground in the Aisles, where consumers with mobile apps on their smartphones compare items for sale in the store where they are shopping, not only with Amazon and other e-tailers but also with other retailers within easy driving distance.

“If retailers are to survive, they must find ways to engage with shoppers, or, at minimum, to better understand what shoppers want,” said Jeff Cotrupe, who leads the Big Data & Analytics (BDA) program for Stratecast | Frost & Sullivan. “A new Big Data-driven solution that offers specific, relevant insights retailers need is what we term Retail/Wi-Fi Analytics, or RWA.” RWA gathers data from the Media Access Control (MAC) addresses of mobile devices within a given area, applying location and other advanced analytics to the data to provide insights quite similar to those offered by online analytics systems. Arguably the most interesting metric, in Stratecast’s view, and one that inspired the title of the report, is whether a shopper spends enough time in a store to fit the retailer’s established profile of a likely buyer. If not, some RWA systems consider the shopper to have “bounced.” This is similar to online analytics platforms that consider a visitor who leaves a site too soon to be likely to make a conversion (such as a purchase, registering for an event, or requesting more information) to have bounced. Cotrupe terms the rate at which shoppers bounce The Human Bounce Rate.

The report also deals with the issues of privacy that such shopper data collection raises. It discusses efforts underway in governing bodies, such as the U.S. Congress, and by consumer watchdog groups, to protect consumers from what may be unwanted intrusion into their personal (or at least shopping) space. The report, which carries Stratecast product code BDA 1-05, analyzes the differences in how data is collected by different RWA systems, and opt-out mechanisms that vendors and their retailer customers are adopting to stay ahead of regulators. The report also makes some pointed recommendations about how retailers should turn privacy negatives into revenue positives.

This Stratecast report is designed to benefit a wide range of readers, including every retail or e-tail organization, and individual retailers of all types and sizes; every brand that sells through either the retail or e-tail channels; every brand that utilizes mobile technologies for sales and retention activity; and every company that plays a role, or could, in equipping retailers to better compete.

WordPress: 2010 in review for MarketPOWER News 2.0

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The stats helpers at WordPress.com mulled over how this blog did in 2010, and here’s a high-level summary of its overall blog health:

Healthy blog!

The Blog-Health-o-Meter™ reads This blog is doing awesome!.

Crunchy numbers

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A helper monkey made this abstract painting, inspired by your stats.

The Leaning Tower of Pisa has 296 steps to reach the top. This blog was viewed about 1,200 times in 2010. If those were steps, it would have climbed the Leaning Tower of Pisa 4 times

In 2010, there were 16 new posts, growing the total archive of this blog to 26 posts. There were 37 pictures uploaded, taking up a total of 2mb. That’s about 3 pictures per month. Continue reading