Predictive Analytics World SF 2017 – Analytics Blocking and Tackling

Along with the many topics at Predictive Analytics World SF this week representing the leading edge of analytic sophistication, there were also presenters speaking to the blocking and tackling necessary to nurture analytic thinking and scale adoption within their organization. Since many organizations are facing these same analytic adoption and scale problems, I’d like to highlight […]

Focus Data Projects on Improving Decisions

Focus Data Projects on Improving Decisions

Many organizations today are investing heavily in data projects to improve data-driven decision making. But paradoxically most of these projects don’t consider decisions explicitly.  Data projects usually begin with data capture before understanding what data will be useful, for what action and for what benefit.  Without understanding the decision making that will improve business performance and […]

Update to the Decision Management Systems Platform Technologies Report

The Decision Management Systems Platform Technologies Report began in early 2012 as a way to share our research and experience in building Decision Management Systems. Since then we have extended, updated and revised the report many times. This week we released the latest version – Version 8 – with a new, easier to use format. There is […]

Harness Data-Driven Decisions with Decision Management

Get out of the reporting quagmire, be explicit about decision making with decision modeling and integrate analytics in BI and operational systems. We’re Not There Yet “The activities of analytics teams and the investments made to support them aren’t in sync with what executives expect or desire.” International Institute for Analytics, February 2017 “If analytics does […]

From BI to Predictive Analytics with Decision Centric Dashboards

Many organizations are keen to improve data-driven decision making with predictive analytics but they are trapped by operational demands for traditional BI reporting and dashboards. They are asking how do they get “there” – better data-driven decisions – from “here” – traditional BI reporting and dashboards. This challenge is readily addressed with decision modeling and modern […]

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 […]

Global Big Data Conference: Don’t Apply Big Data Analytics To The Wrong Problem: Put Decisions First

I am speaking at the Global Big Data Conference in Santa Clara, CA in March on Don’t Apply Big Data Analytics To The Wrong Problem: Put Decisions First One of the biggest challenges for analytics Teams is effective communication with their business partners. Too many projects fail to connect problems in the business environment to […]

Decision Modeling and CRISP-DM for Modern Data Science Projects

Many data science projects use the popular and well established CRISP-DM methodology. However, CRISP-DM has limitations especially regarding business understanding and deployment. The decision modeling process and the graphical decision requirements diagram addresses these challenges. CRISP-DM Popular, but with Limitations Gregory Piatetsky of KDnuggets writes following the KDnuggets Data Mining Methodology Poll: “CRISP-DM remains the […]

Consolidate Reporting to Improve Decision Making

Everyone wants to make better data-driven decisions. Reporting is getting in the way. Everyone wants to make better data-driven decisions. Many companies are using reporting to support decision making but their ability to do so is bogged down. There are too many reports, resources are committed to existing reports and the link from reports to […]

IBM InterConnect presentation: Pioneering Clinical Decision Services with Decision Modeling at Kaiser Permanente

Kaiser Permanente is developing clinical decision support (CDS) applications that automate real-time decision services using IBM ODM. Well-designed decision services can replace existing guideline documents in all areas of its business. Guidelines are expensive to develop as they involve significant investment from SMEs. Even good guidelines are of limited use for real-time decision-making, especially if […]

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