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Great Examples of Integrating BI and Data Science

We talk a lot about the power of predictive analytics*. Data-driven decision making is the goal, but to get there, organizations need to learn how to extract actionable information from their data. We also talk a lot about how this is different from traditional business intelligence (BI), where the focus is on historical reporting. But […]

Live Event: A New Approach to Defining BI Requirements

July 2, 2015, 6:30 pm Microsoft Campus, Mountain View, CA I am speaking on A New Approach to Defining BI Requirements at the Bay Area Microsoft BI User Group on July 2nd I will introduce the core concepts of DMN and show how it can be used to drive more effective requirements for BI, dashboard, and analytic projects.  You’ll […]

A New Approach to Defining BI Requirements – PASS Business Analytics 2015

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 […]

How to frame requirements for predictive analytic projects with decision modeing

One of my big focus areas right now is using decision requirements models to frame predictive analytic projects. We are working with a few insurance companies as well as a couple of manufacturing companies to apply decision requirements modeling in their analytic requirements process and I am excited by the potential. I recently wrote an […]

Framing Requirements for Predictive Analytics Projects with Decision Modeling

A big focus area right now for organizations looking to adopt or expand operational predictive analytics is using decision requirements models to frame requirements for their predictive analytic projects. We are working with a few insurance companies as well as a couple of manufacturing companies to apply decision requirements modeling in their analytic requirements process and I […]

Analytics – An Overwhelming Shift to Decision Making

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 […]

Live Tutorial: Decision Modeling with DMN: Extending BPMN to Decisions, Business Rules and Analytics

I am giving a tutorial on Decision Modeling with DMN: Extending BPMN to Decisions, Business Rules and Analytics at this year’s Building Business Capability conference in the afternoon of Sunday November 2.

Decision Modeling has recently been added to the Business Analyst Body of Knowledge® Guide v3 while a new standard, the Decision Model and Notation standard, has also been released. Decision modeling with DMN complements existing process modeling techniques such as those using BPMN, extending process models to fully incorporate business rules and analytics.

Although based on years of experience with business rules and analytics, decision modeling is new to many analysts. This workshop introduces this powerful technique so that business analysts, enterprise architects and all those involved with business rules or analytic projects can use it effectivel

ManMachine – The Computer Human Synergy for Organizations

TARGIT CEO, @MortonSandlykke has a very topical post today, ‘Turning Emotion-based Decisions into Fact-based Decisions’. Morton’s basic premise is that while information availability might have been a bottleneck for better decision-making in the past, that is not the case today. Today the human is the bottleneck in the decision-making process. We have been programmed to act on […]

Decision-centric dashboards and application lifecycle management with Assure

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.

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Live Event: TDWI Solution Summit on Advanced Analytics

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