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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 […]
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 […]
Sandy Kemsley (of column2.com fame) and I are doing some research into the potential for BPM and Decision Management technology in mobile application development. As part of this research we are gathering information on the use, development and support of mobile applications and we would like your help – we would like you to take our survey: […]
I recently did some research on the requirements for enterprise-scale analytics and the challenges of using open source R in this context. In my first post (Requirements for Enterprise Scale Analytics with R – Part 1) I outline some of the requirements I see for enterprise scale analytics. In this second post I will discuss the challenges of R […]
Interview Wednesday: James Taylor on decision management, analytics, and evidence. Tracy Altman (@EvidenceSoup), who I interviewed here, interviewed me for her blog recently. We talked decisions, decision management and analytics. You can find the interview on theEvidence Soup blog here. Enjoy.
I just presented on The Mobile Enterprise: Driving the Need for Better Decisions & Smarter Processes.
Here are the slides:
The consumerization of technology in enterprises, increasingly mobile employees and the demands of m
Predictive Analytics World in San Francisco is on next week. Come learn about our recent research on Predictive Analytics in the Cloud on March 18, 2014, 10:55 am, Salon 5/6 (Track 1: Industry Research). Use PAWSF14 to get a 10% discount. Predictive analytics are the most effective way to put Big Data to work. Cloud technologies […]
To wrap up the series I have been writing on standards in predictive analytics, here’s the report I have been working on. This report discusses each of the topics in the series – R, Hadoop and PMML – in more detail and pulls it all together in a single paper. You can get the Standards in Predictive Analytics paper here.
Thanks to our sponsors for this research, Revolution Analytics, Zementis and the Data Mining Group.
Last year I interested Andrea Scarso, CEO of MoneyFarm, about analytics. This was a hugely popular post so I thought I would continue the series this year by interviewing some other analytic practitioners. The first in this continuing series is an interview with Tracy Allison Altman, co-founder of Ugly Research. Ugly Research are developing PepperSlice, […]
Last year I interested Andrea Scarso, CEO of MoneyFarm, about analytics. This was a hugely popular post so I thought I would continue the series this year by interviewing some other analytic practitioners. The first in this continuing series is an interview with Tracy Allison Altman, co-founder of Ugly Research. Ugly Research are developing PepperSlice, an analytics application for explaining recommendations to decision makers. She’s on Twitter @EvidenceSoup, blogs at EvidenceSoup.com and you can read about her work at Ugly Research.
What’s your background, how did you come to be working in analytics?
I started out as an engineer, evaluating oil and gas investment decisions. This sparked my interest in data and analytical methods, so I got a Master’s (Computer Science concentration) and then a PhD in Pub