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Ray Wang of Constellation Research published a report early this year “The Elements of Business Architecture for Digital Transformation.” In the report Ray identifies some interesting boardroom priorities (this is just some of them): Consistent Customer Experience Mass automation Insights-driven business models Cost-effective regulatory compliance All of these are reasons given by our clients as […]
Back in May of last year, Wayne Eckerson published “Making Predictive Analytics Pervasive“. It’s a great report with some really useful data but one of the key headline result is that implementation rates are not rising – in fact fewer organizations are reporting successful implementation of predictive analytics (from 21% to 18%). This despite […]
Here is a useful set of Decision Management Assets on Modernizing Operational Decisions from SAS Software with Decision Management Solutions’ CEO James Taylor. The set includes two decision management videos – one aimed at business users and one at IT professionals: For Business Users the first video is an interview between Fiona McNeil of SAS and Jame […]
In case you missed it, the presentation from our recent IIBA webinar is now posted to slideshare. Improve your Process Models by Modeling Decisions from Decision Management Solutions Webinar recordings are available on the IIBA website. Description: Business analysts know that modeling business processes, rather than writing about them, defines them more accurately. Business process […]
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 – […]
I am teaching a live online version of the BPM Institute’s Decision Modeling with DMN class on July 30th and 31st, 1-5pm ET each day.
The Decision Model and Notation (DMN) is a standard for decision modeling in the process of being adopted by the Object Management Group. It provides a graphical notation for specifying decisions so that decision making can be modeled separately from business processes. DMN allows both technical users and business users to describe, model and manage decision-making by providing a notation that is intuitive to business users yet able to represent complex decision making. The DMN specification also provides a mapping between the graphics of the notation to the underlying constructs of execution environments such as business rules management systems and predictive analy
Live Training as part of Brainstorm San Francisco
The Decision Model and Notation (DMN) is a standard for decision modeling in the process of being adopted by the Object Management Group. It provides a graphical notation for specifying decisions so that decision making can be modeled separately from business processes. DMN allows both technical users and business users to describe, model and manage decision-making by providing a notation that is intuitive to business users yet able to represent complex decision making. The DMN specification also provides a mapping between the graphics of the notation to the underlying constructs of execution environments such as business rules management systems and predictive analytic environments.
The primary goal of DMN is to provide a standard notation that is readily understandable by all business stakeholders. These business stakeholders include the business analysts wh
I am co-chair, with Fern Halper,of the TDWI Solution Summit: Beyond BI to Advanced Analytics for Business Advantage in San Diego, June 1-3.
Business analytics has become an important new trend for companies that want to be competitive—and stay that way. While certain kinds of advanced analytics have been on the market for decades, adoption is finally increasing for a number of reasons, including the economic climate, the availability of computing power, the growth in the amount and variety of data, and a greater appreciation for the power of analytics. Forward-looking companies are moving beyond BI—the slicing and dicing of data to produce reports and dashboards—to more advanced forms of analytics. These companies want to become more proactive to drive top- and bottom-line benefits. Among many use cases, they are using advan
I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research. Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A Blueprint […]
I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research. Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A Blueprint for Design, Development, and Adoption (as do I). Nauman and I share a passion for making sure that analytics are not just developed, but deployed into decision making systems and processes.
What’s your background, how did you come to be working in analytics?
My background is purely in computer science and Started in software development with Object oriented