decision making

TDWI World Conference: Requirements Approach for Advanced Analytics with Decision Management

I am giving a class at the TDWI World Conference “Evolving Your Requirements Approach to Advanced Analytics with Decision Management” in Boston, July 20-25. This is a new class for TDWI that builds on my successful class at the University of California Irvine Extension program.

Big data makes it hard to scale human interpretation, forces faster and more precise decision making, and puts a premium on advanced analytics. Applying big data analytics requires a clear and direct focus on managing decision making, especially in operations. But most organizations lack an approach that lets them specify their requirements, and their ability to find opportunities for, and successfully use, advanced analytics is limited. This course lays out a framework to identify the op

TDWI Executive Summit: Moving to Real-Time Analytic Decision Making with Decision Management

I am speaking on Moving to Real-Time Analytic Decision Making with Decision Management at the TDWI Executive Summit in Boston, July 21-23

The right time to make decisions for organizations is increasingly real time. Customers want responses in real time; supply chains must adapt to disruption in real time; fraud must be caught before it gets into the system while self-service and Web applications can’t wait for human intervention. At the same time, organizations have discovered the value of analytic, data-driven decisions. The challenge is to reconcile these demands—to provide real-time, analytic decision making.

In this sess

Early Bird Ends This Friday – Register Now for Decision Management and Decision Modeling Live Online Training

Our early bird pricing ends this Friday April 18, 2014. Register now and save on our live online Decision Management and Decision Modeling Training. This 6-session online live training class is taught by leading expert James Taylor, CEO of Decision Management Solutions. The course will prepare you to be immediately effective in using the Decision […]

Real-Time Responses with Big Data – New White Paper

How do you harness the power of big data to make it practical and actionable in real time? Read our new white paper Real-Time Responses with Big Data sponsored by Oracle to learn more about: Finding value in fast-moving data Identifying high-ROI applications of real-time response Implementing the technologies you need to respond in real […]

5 steps to decision-centric legacy modernization

Last week I emphasized four key facts about legacy modernization. To move forward you need to find the legacy code that represents business decisions such as a pricing engine (what price is this product for this customer), eligibility logic (is this customer eligible for this offer or service), approval rules (can this claim be auto-approved) and replace those parts of the application with Decision Services.This week I am going to walk through the 5 steps involved in this kind of decision-centric legacy modernization (and don’t forget we have a webinar on legacy modernization coming up with our partner TechBlue).

  1. Analyze the code to find and isolate the decisions.
    The first step is to find the pieces of legacy code that make decision

4 reminders about legacy modernization

Legacy systems remain critical to many (most) organizations and so legacy modernization is still a hot topic (which is why we have a webinar on legacy modernization coming up with our partner TechBlue). With that in mind, as at is has been a while since I blogged on this topic, I thought I would share a few thoughts. First, this week, four key reminders when modernizing legacy applications:

  1. You don’t need to modernize the whole application
    Often you can dramatically improve a legacy application by modernizing just part of it. Many pieces of legacy applications work just fine and have few, if any, change requests pending. Maintaining these pieces as legacy code is not expensive and replacing it all would be high risk so why not leave it alone while focusing on the pieces that don’t work well, especially the pieces that have high maintenance costs.

Analytic practitioners speak – an interview with author Nauman Sheikh

I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research.  Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A Blueprint […]

Analytic practitioners speak – an interview with author Nauman Sheikh

I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research.  Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A Blueprint for Design, Development, and Adoption (as do I). Nauman and I share a passion for making sure that analytics are not just developed, but deployed into decision making systems and processes.

What’s your background, how did you come to be working in analytics?

My background is purely in computer science and Started in software development with Object oriented

Webinar: Nurture Customer Loyalty With Personalized Messages and Channel Alignment

I am giving a webinar on Nurture Customer Loyalty With Personalized Messages and Channel Alignment for the Association of Strategic Marketing on March 17 at 1:00pm Eastern

More customers are using more channels and with the growth in mobile and other automated channels it’s challenging to deliver personalized, targeted messages across channels and over time. One-size-doesn’t-really-fit-anyone marketing based on simplistic ‘customer-centric’ strategies isn’t getting it done. Companies need to take what they know about their customers and use it to deliver a truly personalized, 1:1 interaction every time a customer interacts with them, no matter which channel.
5 Reasons to Attend

    • Best practices in responding to customers in real time.
    • That decision making is central to personalized

Survey closes this week – Predictive Analytics in the Cloud

This is the last week for our 2013 survey on Predictive Analytics in the Cloud – Use Cases, Trends and Big Data.  Please go right now and take the survey here – it’s quick , anonymous and you have a chance to win a $100 Amazon gift card. There’s been tremendous growth cloud and predictive analytics both […]