knowledge

Decision Modeling and the Business Analyst Body of Knowledge

Posted By: James Taylor | Posted On: 20th May 2014 |

Some time back I participated in a large group of practitioners working on a new version of A Guide to the Business Analysis Body of Knowledge® . After months of consolidating feedback and updating this (vry thorough) document, the IIBA has announced a public review of version 3. As their own newsletter says:

You can review the entire document or focus only on your areas of expertise and provide your feedback to the international, volunteer Core Team. Be sure to forward this email to your colleagues and friends in the Business Analyst profession and encourage them to participate. The more people from more countries, industries and companies of all sizes who contribute, the stronger this version of the BABOK® Guide will be!
[IIBA has] implemented a new Feedback Collector that makes it easy to submit suggestions, propose edits and provide feedback. To learn how to us

Decision-centric dashboards and application lifecycle management with Assure

Posted By: James Taylor | Posted On: 24th March 2014 |

We have become increasingly convinced that decision modeling, especially decision modeling using the Decision Model and Notation (DMN) standard and DecisionsFirst Modeler, is a great way to design dashboards. Building a decision model focuses on the decisions that must be made by the user of the dashboard, on how they make that decision and on the information and knowledge that they need to make a good one. Doing this before drilling into the specific user interface elements involved keeps the focus on business outcomes not on look and feel – on steak, not sizzle. I’m delighted to announce that we have developed a new partnership to apply this approach in Application Lifecycle Management.

We are partnering with Decision Management analytics, BI, dashboard, Data Mining, decision, decision model, Decision Model and Notation, decision modeling, decision-centric, decisionsfirst, DMN, information, knowledge, predictive analytics

Lux Magi and Decision Management: An interview with Jan Purchase (Part 1)

Posted By: James Taylor | Posted On: 27th January 2014 |

We have been expanding recently, adding partners to help us deliver decision management to customers around the world. You can see the current list of partners here on Decision Management Solution’s website. To introduce these partners to you I am going to be conducting a series of interviews in the coming weeks. I am going to begin with a partner of ours based in the UK that focuses on investment banking – LuxMagi.

Please describe your current role and title and tell us a little about your company

I’m Jan Purchase, the director and co-founder of Lux Magi Ltd. We enable financial institutions to manage and automate fast-evolving, complex business logic that’s crucial to the survival of their companies. Our cli

Another analytic practitioner speaks – an interview with Tracy Altman

Posted By: James Taylor | Posted On: 22nd January 2014 |

Another analytic practitioner speaks – an interview with Tracy Altman

Posted By: James Taylor | Posted On: 22nd January 2014 |

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

White Paper of the Week: Decision Modeling for Business Rules Projects

Posted By: James Taylor | Posted On: 9th September 2013 |

As I am teaching a class on decision modeling this week, the white paper of the week this week is Decision Modeling for Business Rules Projects There is an emerging consensus that Decision Requirements Modeling is the best way to specify this decision-making. Decision Requirements Modeling is also central to a forthcoming standard, the Object Management […]

A Decision Model and Notation update – it’s submitted!

Posted By: James Taylor | Posted On: 28th August 2013 |

Well all our hard work has paid off and we submitted a proposed standard to the Object Management Group on Decision Model and Notation. This standard is intended to provide a standard business-friendly notation that can be used for initial decision requirements, for detailed decision models, and even to manage technical implementation of decisions in […]

A Practitioner Speaks: Requirements for analytic projects

Posted By: James Taylor | Posted On: 15th August 2013 |

Continuing to expand on the questions I asked Andrea Scarso co-founder and COO of MoneyFarm when I interviewed him I wanted to focus on the question “How, specifically, do you develop requirements for analytic projects?” “In my opinion, it is paramount to start from the single and specific decision needed. Then, with a top-down process, to analyze its component elements: hard data, […]

A Practitioner Speaks: Analytics and Decision Management

Posted By: James Taylor | Posted On: 31st July 2013 |

I recently caught up with Andrea Scarso, co-founder and COO of MoneyFarm. MoneyFarm is a startup whose target is to modernize and democratize the European panorama of retail investment services, leveraging the opportunities offered by the web and by process automation. Andrea designed the main decisioning processes. What’s your background, how did you come to be working in analytics? […]

Here’s one effective way to avoid screwing up predictive analytic projects

Posted By: James Taylor | Posted On: 30th July 2013 |

There’s a great article over on Computerworld – 12 predictive analytics screw-ups. They asked some of my favorite data miners (John Elder and Jeff Deal of Elder Research, Eric Siegel of Prediction Impact and Dean Abbott of Abbott Analytics) what they saw as the top ways to screw up predictive analytic projects. The list of 12 […]