Posted By: Meri Gruber | Posted On: 16th February 2016 |
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 […]
Posted By: James Taylor | Posted On: 28th October 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 […]
Posted By: James Taylor | Posted On: 4th September 2014 |
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 […]
Posted By: James Taylor | Posted On: 14th August 2014 |
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 […]
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.
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.
Posted By: James Taylor | Posted On: 29th April 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
Posted By: James Taylor | Posted On: 8th April 2014 |
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
Posted By: Meri Gruber | Posted On: 2nd April 2014 |
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 […]