The Blue Polaris Blog
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 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
Decision Camp 2014 Call for Speakers
The second annual Decision Camp, a conference on Decision Management best practices and technologies, will be held at the eBay/PayPal Campus in San Jose, October 13 – 15, 2014. This is a great event that is free to practitioners that got started last year with a very successful first event. The event will feature sessions for all levels – from beginners to advanced users – and the last day will be devoted to applications of Decision Management in Healthcare and Financial Services. There will also be some hands-on workshops using various Decision Management products as well as attendee-organized Birds of a Feather sessions. The call for speakers is now open and submissions are due by May 31, 2014.
You can get more information on Decision CAMP here and details o
Webinar: 3 Reasons why Decision Modeling with DMN Makes for Better Business Analysis
I am giving a webinar on “3 Reasons why Decision Modeling with DMN Makes for Better Business Analysis” May 28 at 9am Pacific, Noon Eastern.
Experience shows that there are three main reasons for defining decision requirements as part of an overall requirements process:
- Current requirements approaches don’t tackle the decision-making that is increasingly important in information systems.
- While important for all software development projects, decision requirements are especially important for projects adopting business rules and advanced analytic technologies.
- Decisions are a common language across business, IT and analytic organizations improving collaboration, increasing reuse, and easing implementation.
Building a decision model using the new Decision Model and Notation (DMN) makes for better business analysis and
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
Data Technical Panel at #IBMIMPACT 2014
Some data-centric technical experts participated in a second panel at IMPACT. There were a number o data-centric announcements at IMPACT and they quickly recapped these announcements:
- New Power Systems
- Real-time actionable insight – capturing events and data at high speed, predicting probabilities from this data, driving this into decisions by embedding existing their Decision Management stack into streaming data.
- BlueMix data and analytics services, some focused data storage/acquisition in SQL and NoSQL formats and some analytic services – geospatial analytics, predictive etc.
- BlueInsight using the Catalyst Insight technology for rapid discovery on the cloud when combined with a data refinery.
- Catalyst Insight is also being developed for on-premised use, focusing on making it easier to develop predictive analytics – putting a data scientist in a box if you like.
Lots of interesting questions and answers. Some
A cloud panel at #IBMIMPACT 2014
Some great technical experts participated in a panel on cloud technology at IMPACT. Working the way up the stack:
- Key element in Softlayer that drove the acquisition was the flexibility of their technology – that they could support various application types and workload, matching the available infrastructure to thee needs. The intent of rolling out Softlayer then is to provide an infrasturcture that does not require compromising on the workload or application design.
- Bluemix has been a big focus at this event. Bluemix is focused on exposing a lot of services at a variety of levels (infrastructure to business) so they can be composed and integrated into solutions.
- DevOps is being tied more tightly to the BlueMix platform so that a set of tools are available that “know” about the platform. Things like source code control, automated build, IDEs etc all integrated with the BlueMix platform.
- Over 100 SaaS offerings on the IBM cloud
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