real-time

Predictive Analytics Deployment to Mainframe or Hadoop – Upcoming Webinar

Learn how to achieve a standards-based, efficient approach to analytics deployment from open source like R and commercial analytics products to a wide range of platforms including mainframes like IBM zSystems and new data infrastructure like Hadoop. Thursday, March 3, 2016 11:00:00 AM PST – 12:00:00 PM PST Register here. The big challenge for analytics-driven […]

Live from IBM Insight 2014

For live updates from IBM Insight 2014, follow @jamet123 and www.jtonedm.com. Here are the live blogging updates from conference: Table of contents for IBM Insight 2014 Opening #IBMInsight Keynote: Seize This Moment: Envision Your Future #IBMInsight Keynote: Envision you journey: Are you ready for real-time decision-making? #IBMInsight Powerful Analytics for Everyone #IBMInsight Keynote: Seize this […]

Requirements for Enterprise Scale Analytics with R – Part 1

I recently did some research on the requirements for enterprise-scale analytics and the challenges of using open source R in this context. In this first post I wanted to outline some of the requirements I see for enterprise scale analytics and in a second post I will discuss the challenges of R in that context. As advanced […]

Decision Management and a business perspective on Big Data

Check out this article – Business leaders need Rs not Vs: The 5 Rs of Big Data. I met Merritt,the author, at the TDWI Solution Summit on Advanced Analytics this spring. In the post, and in his subsequent work, he makes some great points. I really like his 5Rs and think they illustrate the power of […]

New article on Moving to Real-Time Decisions

TDWI just published a new article of mine on Moving to Real-Time Decisions (it’s in a members-only newsletter so you will need to be registered to view).

When it comes to analytics, many organizations focus on using analytic insight to improve executive decision making. Yet there is often an even greater opportunity when using analytics to improve operational decision making. Operational decisions about a single customer or transaction are made by call centers, local staff, and automated systems. These decisions affect everything from fraud to customer satisfaction, from risk management to resource utilization. Although each decision has a localized impact, enterprises make so many of these decisions that the cumulative impact is enormous.

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

The Mobile Enterprise: Driving the Need for Better Decisions #IBMIMPACT 2014

I just presented on The Mobile Enterprise: Driving the Need for Better Decisions & Smarter Processes.

Here are the slides:

The consumerization of technology in enterprises, increasingly mobile employees and the demands of m

Made with IBM Keynote #IBMIMPACT 2014

Marie Wieck came back to discuss how to create the kind of composable business  IBM discussed on day 1. It’s critical, she says, to keep customers at the center and drive a new process from this. It’s key to use data to make better decisions, and it’s important to have the kind of scalable infrastructure you need to make this scale and deploy effectively.

Once again the focus is on IBM customers and HH Gregg came on stage to talk about their journey. As a regional retailer they need to need to differentiate themselves. In particular they have focused on providing a “friction free” shopping experience on every channel. They have historically invested in training for their staff and have tried to bring this kind of personalized service to their mobile strategy.  They determined that it was not enough to “mobilize” their existing interface, it had to reflect the different form factor and interaction patterns. Mobile had to lead not jus

IBM IMPACT: The Mobile Enterprise: Better Decisions & Smarter Processes

I am speaking at IBM’s IMPACT 2014 on The Mobile Enterprise – Driving the Need for Better Decisions & Smarter Processes (SPD-2798), Tuesday April 29 at 3:45pm

The consumerization of technology in enterprises, increasingly mobile employees and the demands of more social, mobile and connected consumers are putting increased pressure on enterprises. Adopting mobile management and development technologies is part of the solution, allowing organizations to develop new interfaces and to manage the range of devices connecting to their systems. However the back-end systems supporting these mobile devices must also change. Because mobile users need answers not data, because the systems they access must personalize their response based on user and location, because these responses must be real-time and yet also analytic, mobile forces a new kind of back end system to be de

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 […]