visualization

Harness Data-Driven Decisions with Decision Management

Get out of the reporting quagmire, be explicit about decision making with decision modeling and integrate analytics in BI and operational systems. We’re Not There Yet “The activities of analytics teams and the investments made to support them aren’t in sync with what executives expect or desire.” International Institute for Analytics, February 2017 “If analytics does […]

Analytics – An Overwhelming Shift to Decision Making

It’s clear when you analyze analytic capabilities that there are three main reasons people use analytics: A need to report on some aspect of the organization. A need to monitor the organization’s behavior or performance. A need for the organization to make data-driven decisions. As part of our recently completed research on the analytic capability landscape, we […]

Analytics Capability Landscape Research Report and Infographic

We have just published the Analytics Capability Landscape Research Report and Infographic. This new research report looks at the increasingly broad portfolio of analytic capabilities available to enterprises today asking the real question – what situations need which capabilities, who is the target user for these capabilities, and how can this portfolio of capabilities be […]

Upcoming Webinar: Analytics Maturity Curve or Landscape? Your Questions Answered

November 6, 2014 2 pm ET/11 am PT Register here. What’s the difference between the various analytic capabilities? How do I map available analytic capabilities to my business needs? What’s the right combination of capabilities for me now and in the future? What should I look for in each of these capabilities to make sure […]

IBM #WatsonAnalytics Live Blogging Series

James live blogged from this week’s IBM Watson Analytics event in New York earlier this week. Don’t miss the series posted to www.jtonedm.com. Table of contents for IBM Watson Analytics Cloud IBM Watson Analytics Cloud Announcement KickOff IBM Watson Analytics Cloud Customer Panel IBM Watson Analytics Cloud Business Partner Panel IBM Watson Analytics Cloud – […]

Decision Management Market Highlights Q1 2014

We published our Decision Management Market Highlights Q1 2014 today. Here is an excerpt: There have been interesting developments in the Decision Management market this quarter. In particular the focus is clearly shifting from Decision Management simply as a better way to manage business rules to one where analytics, especially predictive analytics, is central. This quarter […]

Analytic practitioners speak – an interview with Lee Feinberg of DecisionViz

Please describe your current role and title

DecisionViz is a management consultant that helps companies build leadership in the processes, people, and culture around data visualization. We work with senior management to elevate visualization from the activity of reporting and making charts to being integrated with their daily decision-making. I founded the company in 2012.

What’s your background, how did you come to be working in analytics

Our story I think is like many in the analytics field. It’s been more of an evolution and the company has been almost 20 years in the making.
I was very involved with the Internet before most people heard about the Internet. So we were dealing with how to capture and measure all this new data. I’ve always been on the lookout for how to make that a lot less painful. Most of the work was in financi

Standards in Predictive Analytics: R

The third post in my series on standards in Predictive Analytics is on R, a hot topic in analytic circles these days. R is fundamentally an interpreted language for statistical computing and for the graphical display of results associated with these statistics. Highly extensible, it is available as free and open source software. The core environment provides standard programming capabilities as well as specialized capabilities for data ingestion, data handling, mathematical analysis and visualization. The core contains support for linear and generalized linear models, nonlinear regression, time series, clustering, smoothing and more. The language has been in development and use since 1997 with the 1.0 release coming in 2000. The core is now at release 3.0. New capabilities can be added by creating packages typically written in the R language itself. Over 5,000 packages have been added through the open source community.

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Embedding predictive analytics in your software product: A series

Everyone knows that enterprise software is an intensely competitive business. Today “Big Data” and “Analytics” are two of the hottest topics in organizations of any size and  as companies race to invest in this new space, product managers must find ways to respond. The functionality of enterprise software products must be extended to include new analytic […]

Decision Management and Analytics 3.0

Syndicated from my blog on the International Institute for Analytics Site IIA is talking about analytics entering a new era, Analytics 3.0, The Era of Impact. What is Analytics 3.0? According to IIA, Analytics 3.0 marks the stage of maturity where leading organizations realize measurable business impact from the combination of traditional analytics and big data. High-performing companies […]