standards

I am co-presenting with Jan Purchase at DecisionCAMP 2017 – Mind the Gap-Lessons Learned in the Application of DMN to Large Projects – at 10:15am, Thursday July 13 Since the release of DMN 1.1 by the OMG in 2015, a growing number of organisations have sought to use it to model their key business decisions. [...]

I am giving a webinar on Predictive Analytics Deployment to Mainframe or Hadoop with Mike Zeller of Zementis on Thursday, March 3, 2016 11:00:00 AM PST The big challenge for analytics-driven organizations today is closing the gap between deriving an analytic result and getting the ROI. Organizations need a consistent and efficient way to deploy analytic results [...]

I am giving an online class Decision Modeling with DMN in three 120 minute sessions November 23,24,25 Decision modeling with the new Decision Model and Notation (DMN) standard is fast becoming the definitive approach for building more effective processes and for specifying requirements for business rules and predictive analytic projects. With decision modeling, you can: Build more effective business [...]

I am giving an online class Introduction to Decision Management in three 90 minute sessions September 1,2,3 Decision modeling with the new Decision Model and Notation (DMN) standard is fast becoming the definitive approach for building more effective processes and for specifying requirements for business rules and predictive analytic projects. With decision modeling, you can: Build more effective [...]

I am speaking at PASS Business Analytics 2015, April 20-22 in Santa Clara CA,on A New Approach to Defining BI Requirements Most organizations lack an approach that lets them specify their requirements for BI or for analytics more broadly. Their ability to find opportunities for, and successfully use, more advanced analytics is limited. In this [...]

Tom Debevoise and I gave a webinar this week on 4 key benefits of using the Business Process Model and Notation (BPMN) and the Decision Model and Notation (DMN) standards. We highlighted the power of these two standards in combination, specifically in terms of: Streamlined processes A combination of process modeling and decision modeling produces simpler [...]

I will be giving the Decision Management and Business Rules 101 class at BPM Institute’s New York event in November – Monday November 3 Decision Management and business rules allow the effective automation of decision-making combined with increased business agility. Adopting decision management and business rules technology improves customer service, enables 1:1 marketing, increases straight [...]

I am giving a webinar with Juergen Pitschke, our partner in Germany, on Getting Started with Decision Discovery September 9 at 10am Pacific. The path to a better bottom line is paved by large numbers of operational decisions made by people, by processes and by software applications. Systematically improving each operational decision – at scale – [...]

While R has become very popular in recent years the fact remains that as an open source product it has some scalability and performance issues (discussed in our paper on Standards in Predictive Analytics for instance). Base open source R is not really designed for the kind of large data volumes, Big Data, that are [...]

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 [...]

Zementis, the company behind the ADAPA PMML engine (last reviewed here and a sponsor of our Standards in Predictive Analytics research), has been busy making their technology for deploying models based on the Predictive Model Markup Language or PMML more pervasive. They have launched on the Amazon AWS Marketplace. While they have supported AWS for [...]

Some great technical experts participated in a panel on cloud technology at IMPACT.  Working the way up the stack: Key element in Softlayer that drove the acquisition was the flexibility of their technology – that they could support various application types and workload, matching the available infrastructure to thee needs. The intent of rolling out [...]

I recently met Neil Ward-Dutton of mwd advisors at bpmNEXT and we chatted about decision modeling – I was there giving a demo of DecisionsFirst Modeler and its support for the new Decision Model and Notation standard. Neil pointed me to his recent report CMMN and DMN: new notations for systems of co-ordination – what are [...]

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 [...]

In this series so far we have discussed a number of standards – R, PMML and Hadoop – that are well established. There are also some future developments that are worth considering—the emergence of the Decision Model and Notation standard, growing acceptance of Hadoop 2 and planned updates to PMML specifically. As regular readers of [...]

With the fourth post in this series I am going to talk about Hadoop – something with even more hype than R or predictive analytics. As we all know the era of Big Data has arrived. As anyone who reads the IT or business press knows, there is more data available today,  this data is no longer [...]

We are running our “Decision Management and Decision Modeling” online in February. This 6-session online live training class will prepare you to be immediately effective in using the Decision Management approach and a modern, collaborative and standards-based approach to decision modeling.You will learn how to identify and prioritize the decisions that drive your success, see [...]

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 [...]

I am working on a paper, for publication in early 2014, on the role of standards such as R, Hadoop and PMML in the mainstreaming of predictive analytics.  As I do so I will be publishing a few blog posts. I thought I would start with a quick introduction to the topic now and then [...]