Research

Inquiry Response: Scaling Models and Expediting Run Times

By Josh Gray, May 18, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

An analytics team working with dashboards at the C-suite level would like to know how they could expedite run-time for large scale models—pulled queries into a Spark-type infrastructure.

  • Considering only SQL and dashboard queries, is a single digit response time possible? What can we expect?

  • What should be considered when using data sets that are larger than our in memory for machine learning models?

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Enhancing Decision Support Analytics in the Digital Era

By Stephan Kudyba, Thomas Ott, May 17, 2017

Available to Research & Advisory Network Clients and Professional Members

Visualization techniques enable users to overcome the tedious activity of examining detailed data corresponding to functional areas and provides them with an easy to comprehend view of performance attributes, providing timely decision support from digital resources. However, despite the advantage of robust graphics, visualization often suffers from a major limitation. As users consume information from visual platforms, they often take the next step in the decision support process, which entails inquiring as to what the factors or variables are that drive performance metrics. In other words, what is causing KPIs to move? In statistical terms, performance metrics are dependent or target variables and users quickly seek to understand the driver or independent variables that affect dependent variables.

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Less than 30% of companies have a process in place to measure the return on investment of their emerging technology projects according to a recent survey of 150 CIOs and CTOs. Too many companies still measure the performance and business value they get from IT based on the old work of IT rather than the new work of IT.

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Strata + Hadoop World 2017: Big Data and Analytics Developments from the Heart of Silicon Valley

By David Alles, Apr 24, 2017

Available to Research & Advisory Network Clients Only

Strata is a large conference covering a diverse set of data, analytics, and business topics. Tuesday (3/14/17) featured morning and afternoon tutorials (22 total with half day and full day sessions) covering a range of topics including: Developing a Modern Data Enterprise, Getting Started with TensorFlow, Architecting a Data Platform, and Determining the Economic Value of Your Data. Wednesday (3/15/17) and Thursday (3/16/17) featured keynote sessions in the morning followed by 45-minute breakout sessions until late in the afternoon. There were up to 17 breakout sessions in each session block and the conference also had an Expo Hall featuring over 150 vendors. Our objective for this report is to summarize the common themes and key trends emphasized at Strata into an easy-to-read guide that can serve as both a general reference and a resource for planning analytics initiatives. With this in mind, the report is organized into the following seven sections.

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As I have discussed in prior blogs, the focus of enterprise computing for most of the 20th century was on deploying Systems of Record, first on mainframes, then minicomputers, then client-server systems. These were and continue to be the transaction processing backbones that drive global commerce. In the first fifteen years of this century, however, we have seen a profound shift in spending emphasis away from Systems of Record, which are now in maintenance mode, and toward Systems of Engagement, the focus being on connecting with customers, partners, and employees in digitally effective ways leveraging the ubiquity of smart phones. That movement has been inside the tornado for some time now such that, while there will be a lot of money spent here over the next ten years, I think it is time to look ahead to the next wave.

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IIA 2017 Spring Symposium Event Summary

By Jack Phillips, Apr 13, 2017

Available to Research & Advisory Network Clients Only

IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.

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Video: Innovation, Disruption, and Enterprise Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

This presentation addresses how enterprises of all sizes can adopt a “start-up mentality” to transform their organizations and the industry. Featuring Geoffrey Moore, Author, Thought Leader.

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Video: Artificial Intelligence is Data Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

Recent advances in Artificial Intelligence have little to do with intelligence, and a lot to do with data. Machine Learning, in fact, is little more than an automated form of analytics. Discover the surprising history of these ideas and why—after fifty years—they are suddenly the next big thing. Featuring Jerry Kaplan, Author, Thought Leader.

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Video: What is “Analytics” to a Digital Native?

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

Leaders from Bay Area “digital natives” share perspectives on the inner workings of companies founded on data, and the symbiotic relationship of analytics and technology in data-driven companies. Panel featuring David Hardtke, Director of Advertising Science, Pandora; Todd Holloway, Director of Content Science, Netflix; David Andre, CEO, Cerebellum Capital; Matt Fernandez, CEO, Simple Emotion

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Video: Analytics in a Global Software Company

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

What analytics means to the internal operations of a large software company, and how analytics is organized; how analytics internally has been a change agent and source of value. Featuring Sanjay Poonen, COO, VMware.

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