The Blue Polaris Blog
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 […]
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 […]
Great New Case Study – Bringing Clarity to Data Science and Analytic Projects
We have been helping several organizations improve their analytic and data science projects. Like many users of analytics, these organizations find that their analytic teams often lack a clear understanding of the business problem, resulting in projects that lose their way or produce analytic models that don’t get operationalized, deployed or used. We have helped […]
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