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.
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
Posted By: James Taylor | Posted On: 7th May 2014 |
SAS® Model Manager is getting an update soon to release 13.1 (I last blogged about Model Manager 3.1). The vision of SAS Model Manager going forward is to streamline the integration of predictive modeling into the overall environment, make it easier to operationalize analytical models, expand the model portfolio management capabilities and improve governance and monitoring of large numbers of models.
The new release will be standardized on the web-based application framework, making SAS Model Manager 100% browser-based – importing models, setting up champion-challenger, viewing performance etc. This web interface also makes these capabilities easier to access from within the SAS Decision Manager environment (reviewed here which includes the SAS Model Manager functionality).
Posted By: James Taylor | Posted On: 10th April 2014 |
I am part of a panel at IBM’s IMPACT 2014 on New Systems Meet New Business Challenges: Turn Data into Insight to Make More Accurate Decisions (BDL-1378), Monday April 28 at 5:15pm
Interactive systems, mobile devices, and social networks generate more data every day – and this is not going to stop. Making sense of this astronomic amount of unstructured data to identify risks and opportunities, and making the right decisions to address these is going to be an essential business differentiator. Traditional systems cannot cope with such complexity. Neither can big data, analytics, and operational decision management when used individually. But when combined, these technologies can lead to new systems that meet these challenges and enable unforeseen capabilities. In the first part of this session, experts utilize a use case and technological perspective to show how bi
Business analytics has become an important new trend for companies that want to be competitive—and stay that way. While certain kinds of advanced analytics have been on the market for decades, adoption is finally increasing for a number of reasons, including the economic climate, the availability of computing power, the growth in the amount and variety of data, and a greater appreciation for the power of analytics. Forward-looking companies are moving beyond BI—the slicing and dicing of data to produce reports and dashboards—to more advanced forms of analytics. These companies want to become more proactive to drive top- and bottom-line benefits. Among many use cases, they are using advan
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.
Posted By: James Taylor | Posted On: 16th October 2013 |
A couple of weeks ago I posted a sneak peek of some of the results from our survey on Predictive Analytics in the Cloud. With a week to go until the results webinar over on Information Management I thought I would post a few more. If you want to see the webinar or a recording of it, […]
Posted By: James Taylor | Posted On: 14th October 2013 |
I am pleased to announce the publication of The Decision Management Manifesto. The goal of the manifesto is to provide decision management practitioners with a useful synthesis of many years as a decision management practitioner, speaker, author and trainer. I am fortunate to work with and talk to a lot of people about Decision Management […]
Posted By: James Taylor | Posted On: 3rd October 2013 |
First, there’s still time to take our survey on Predictive Analytics in the Cloud – just go to www.surveymonkey.com/s/PACloud2013. If you have already taken it, or even if you haven’t, why not register for the results webinar over on Information Management? To encourage you to do either or both of these things, here are some sneak peek […]