predictive analytics

Decision Management Solutions Named 2017 Hot Vendor for Digital Business Platforms

Silicon Valley research firm cites Decision Management Solutions as a visual and business-friendly extension to digital business platforms Palo Alto, CA – June 22, 2017 Leading Decision Management consulting and decision modeling software provider, Decision Management Solutions, today announced that the company has been named a 2017 Hot Vendor in Digital Business Platforms by Aragon […]

Power Digital Business with Decisions, Business Rules and Predictive Analytics

Digital business provides new revenue and value-creating opportunities, helping organizations to: Improve customer engagement and retention with next best action marketing. Process more claims faster and more accurately. Reduce the cost and difficulty of regulatory compliance. and more. Next Best Action Digitizing, personalizing and improving customer interactions is critical to business growth, customer retention and […]

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 […]

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 […]

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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