Continuing with presentations at Building Business Capability, Kaiser Permanente and IBM presented on their decision management and cognitive platform for application development innovation. For those of you that don’t know, Kaiser is the Nation’s largest not-for-profit health plan. They do everything from inpatient, to home health, hospitals, hospice, pharmacy, and insurance. 10M+ members, 17,000 doctors and [...]
sentiment analysis
I have previously written about Angoss and its products (most recently this post on their 7.5 release) and recently got an update. As a company Angoss is focused on delivering data mining and predictive analytics to improve performance in sales, marketing and risk. They have a set of products for desktop, client/server and cloud-based and [...]
IBM sees Social Media Analytics as part of Customer Analytics rather than as a separate category – the reason for analyzing social media is to better understand customers and what they are thinking. It is not enough, says IBM, to understand and analyze social media. This understanding must be integrated with other kinds of analytics [...]
I got a chance to chat with some folks from SAS about their text analytics. SAS’ Business Analytics framework contains an Analytics component and within this exists a set of products from SAS such as Enterprise Miner and Model Manager as well as a set of capabilities like Operations Research, Forecasting and Text Analytics. The [...]
Eric Brethenoux of SPSS was up next talking about analytics using what your customers tell you. Customer segments are inherently blurred because they are a composite. Identifying the people behind a segment is hard and increasingly more difficult as the number of brands, devices, channels, media and social networks are exploding. And people have multiple [...]
