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Maana Reinvents Data Mining For The Digital Age

What do text processing for call centers, predictive maintenance for field service technicians, and cybersecurity analytics all have in common? The answer: they are all applications of Palo Alto-based startup Maana’s new data mining platform.

The rather well-worn term data mining, however, doesn’t do justice to the semantically sophisticated, end-to-end technology that Maana has brought to market. Perhaps next-generation data mining is more apropos.

At the center of this week’s announcement is Maana’s new patent on its semantic search technology – although ‘search’ also undersells the power of what Maana has been able to accomplish.

In fact, Maana is running into the same problem that many semantic technology vendors have struggled with: explaining its value proposition so that its target buyers will not only understand what the technology does, but realize they need it.

In Maana’s case, it’s worth dissecting its story to uncover the true value. Let’s dive in and see if we can make sense of this disruptive, yet abstruse technology.

800px-CRISP-DM_Process_Diagramhttp://intellyx.com/wp-content/uploads/2015/12/800px-CRISP-DM_Process_Di... 187w, http://intellyx.com/wp-content/uploads/2015/12/800px-CRISP-DM_Process_Di... 50w, http://intellyx.com/wp-content/uploads/2015/12/800px-CRISP-DM_Process_Di... 600w, http://intellyx.com/wp-content/uploads/2015/12/800px-CRISP-DM_Process_Di... 640w" sizes="(max-width: 300px) 100vw, 300px" />‘Upleveling’ Data Mining

Maana bills its product as an “analytics platform that operationalizes big data insights into line‐of‐business applications.” The operationalization part of this story means that the platform is able to take the results of its big data analysis and bring them to users. From there, line-of-business applications, from call center to petroleum well management apps, can display such insights within the application.

Maana’s secret sauce, however, lies in its patented semantic algorithms. The platform provides an “emergent semantic graph, where the structure reflects the original data,” explains Donald Thompson, cofounder and CTO of Maana. “The platform then enriches and ‘uplevels’ the data.”

This notion of upleveling is core to the Maana value proposition. Traditional data mining tools are generally for data scientists to work with. In contrast, Maana refocuses data mining on end-user self-service within line of business applications people already use. “Maana enables better human interaction with data,” according to Thompson.

Data mining is an established data processing term that refers to extracting new value out of existing data that wasn’t obvious from the original data. What Maana brings to the data mining story is its ability to leverage semantic graph technology to deliver a more holistic approach that targets – and then surpasses – the goals of traditional data mining.

Read the entire article at http://www.forbes.com/sites/jasonbloomberg/2015/12/17/maana-reinvents-data-mining-for-the-digital-age/.

Intellyx advises companies on their digital transformation initiatives and helps vendors communicate their agility stories. As of the time of writing, none of the organizations mentioned in this article are Intellyx customers. Image credit: Kenneth Jensen (CC BY-SA 3.0).

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More Stories By Jason Bloomberg

Jason Bloomberg is a leading IT industry analyst, Forbes contributor, keynote speaker, and globally recognized expert on multiple disruptive trends in enterprise technology and digital transformation. He is ranked #5 on Onalytica’s list of top Digital Transformation influencers for 2018 and #15 on Jax’s list of top DevOps influencers for 2017, the only person to appear on both lists.

As founder and president of Agile Digital Transformation analyst firm Intellyx, he advises, writes, and speaks on a diverse set of topics, including digital transformation, artificial intelligence, cloud computing, devops, big data/analytics, cybersecurity, blockchain/bitcoin/cryptocurrency, no-code/low-code platforms and tools, organizational transformation, internet of things, enterprise architecture, SD-WAN/SDX, mainframes, hybrid IT, and legacy transformation, among other topics.

Mr. Bloomberg’s articles in Forbes are often viewed by more than 100,000 readers. During his career, he has published over 1,200 articles (over 200 for Forbes alone), spoken at over 400 conferences and webinars, and he has been quoted in the press and blogosphere over 2,000 times.

Mr. Bloomberg is the author or coauthor of four books: The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! How Service Orientation Will Change Your Business (Wiley, 2006), XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996). His next book, Agile Digital Transformation, is due within the next year.

At SOA-focused industry analyst firm ZapThink from 2001 to 2013, Mr. Bloomberg created and delivered the Licensed ZapThink Architect (LZA) Service-Oriented Architecture (SOA) course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, which was acquired by Dovel Technologies in 2011.

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting), and several software and web development positions.