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As part of my recently completed research on the analytic capability landscape, I introduced an approach to selecting analytic capability that is decision-led, role-centric and style-based. I go into the approach more in the research report but I wanted to highlight a few points in a series of blog posts. Next up role-centric: Decision-making problems can be solved [...]

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 my recently completed research on the analytic capability landscape, [...]

I have recently completed some research on the increasingly broad portfolio of analytic capabilities available today. These capabilities range from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc query to modern visualization and data discovery capabilities as well as data mining and advanced analytics. These capabilities are often presented as part of a maturity curve, where [...]

Second day at Insight 2014 and the opening keynote is about transforming your industry. Mike Rhodin kicked things off by discussing how people think – by observing, interpreting what we see based on our experience and biases, and then we decide what we are going to do.  But there is a limit to how well we can do [...]

Pej Javaheri come on to talk about the use of analytics to “be essential”. Analytics, he said, has arrived across marketing, sales, finance, IT and more. The results from applying analytics are clear and powerful, with research showing very strong ROI. IBM, he says, is focused on putting analytics in the hands of everyone while making it easy [...]

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 on Ugly Research

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 the Evidence Soup blog here. Enjoy.

The Hurwitz Group just published their Victory Index for Predictive Analytics. This is a great report on the core predictive analytic vendors written by Marcia Kaufman and Daniel Kirsch. The report covers Angoss, IBM, Megaputer, Pegasystems, Predixion, RapidMiner, Revolution Analytics, SAS, SAP, StatSoft. The report aims to assess four things about each vendor: Vision – how good the company’s strategy [...]

I just presented on The Mobile Enterprise: Driving the Need for Better Decisions & Smarter Processes. Here are the slides: The Mobile Enterprise: Driving the Need for Better Decisions & Smarter Processes from Decision Management Solutions The consumerization of technology in enterprises, increasingly mobile employees and the demands of more social, mobile and connected consumers [...]

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 [...]

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, [...]

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 [...]

Rexer Data Mining Survey 2013

Karl Rexer just published his summary of this year’s Rexer Data Mining survey. As always there’s lots of good information but here are my favorite takeaways: As in our own work on Predictive Analytics in the Cloud, the survey fond that a focus on customers and on customer experience/engagement was top of mind. CRM/Marketing is [...]

I am speaking on Predictive Analytics in the Cloud: Use Cases and Trends at Predictive Analytics World San Francisco 2014. Predictive analytics are the most effective way to put Big Data to work. Cloud technologies both deliver new data sources and provide a scalable, pervasive platform for analytics. The intersection is creating new opportunities for value [...]

I recently gave a webinar on the results of our Predictive Analytics in the Cloud research (you can watch a replay here on Information Management). During the webinar we had some great questions and, as I did not get to all of them, I promised to write a blog post to address them. Meanwhile the [...]

Neil focused his session on Analytics. Analytics, he says, has roared to the front office in recent years (driven in part by the explosion of data and data management technology). Big, as in Big Data, is relative. The rate of increase has not particularly changed in recent years but the rate of increase is being [...]

I am giving a webinar with SAP on Predictive Analytics in the Cloud, November 7 at 1pm EST. Use predictive analytics throughout your operations with the cloud Recent independent research shows that the power of predictive analytics in the cloud to transform business results is clear. As more organizations transform their business using cloud-based predictive [...]

There’s just a day left before we present the results of our Predictive Analytics in the Cloud 2013 survey and research. The webinar is on Tuesday October 22 and is hosted by Information Management – you can register for it here. It’s entitled Predictive Analytics in the Cloud 2013 – Opportunities, Trends and the Impact of [...]

First, there’s still time to take our survey on Predictive Analytics in the Cloud – just go to www.surveymonkey.com/s/PACloud2013. If you have already taken it, or even if you haven’t, why not register for the results webinar over on Information Management? To encourage you to do either or both of these things, here are some sneak peek [...]