SAP has recently announcement some new predictive analytic offerings. At the core are in-database predictive analytics and R integration based on SAP HANA and a new predictive modeling tool, SAP Predictive Analysis. The latter is aimed to close the gap between “pure” data miners/modelers and the business analysts that might typically use tools like SAP [...]
predictive analytic model
Lityx was started about 7 years ago with a focus on analytics, especially marketing analytics. Lityx is focused particularly on more complex forms of analytics such as predictive modeling and optimization. Lityx works with companies from non-profit, media, gaming, financial services, healthcare and retail. Their initial focus has been on marketing analytics and involves optimizing [...]
I have long been a fan of Richard Hackathorn’s view of decision latency and use it regularly in both consulting and training. He uses the concept of the value-time curve. This curve is designed to show that the longer you take to respond to new data, business events, the less value there is in your [...]
Analytics magazine recently published an article I wrote on Operationalizing Analytics. The need to create a more industrialized process for building and deploying analytics is one I discuss regularly on the blog and in articles. As I say in the article: To broadly and effectively adopt predictive analytics organizations must operationalize analytics. Operationalizing analytics requires [...]
Medio started in 2004 with a mobile-first focus on predictive analytics for customer engagement and monetization. Since then they have grown to over 80 people with a cloud-based solution designed to help companies boost engagement and monetization opportunities with their customers on mobile and other IP-connected devices. Medio specializes in personalized real-time information and recommendations [...]
Salford Systems was founded in 1983 and initially developed SAS procedure– add-ons for SAS. They then worked with a PC-based statistics package before moving solidly into data mining and predictive analytics after meeting the inventors of the CART algorithm around 1990. Their product range now consists of CART®, TreeNet® stochastic gradient boosting, MARS®, RandomForests®, GPS™ [...]
Experian has recently renovated their decision management platform – now called PowerCurve™. Experian’s clients generally need to achieve one of four goals – increase revenue through market share growth; controlling risk to manage exposure and reduce losses; increased operational efficiency; or compliance. These goals obviously drive you to using Decision Management Systems and to use [...]
Rexer Analytics have just released the results of their 2011 survey – the 5th annual one, answered by over 1,300 data miners from 60 countries in the first have of 2011. The survey continued to show that CRM/Marketing, Financial and Insurance are the major commercial focus areas for data mining. It also reiterated the top [...]
I caught up with a local real-time decision making start up recently called Inkiru. Inkiru’s mission is to revolutionize real-time decision making by using the increasing volumes of data available to drive both insight and action. The core team is ex-Visa, PayPal, eBay, Chase, amazon with a focus in payments, fraud detection and security. The [...]
Neil Raden of Hired Brains recently published a new report – “BI is Dead! Long Live BI! Making the Transition From Data to Decisions“. Neil and I go back a ways – he and I wrote Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions, the first book on Decision Management, back [...]
IBM has two core Decision Management products, Operational Decision Management and Analytical Decision Management. As noted yesterday CIOs see a need to drive better real time decisions while CEOs see the need to differentiate their organizations by translating insight into actions (by making decisions). The Decision Management solutions are focused on optimizing decisions – not [...]
It used to be that analytics were applied in batch, updating the database with a score or customer segment based on yesterday’s data. It used to be that these models could take months to implement, so that the models themselves were based on data that might be months out of date. It used to be [...]
Skytree is singularly focused on advanced analytics, machine learning on massive datasets. They have been in development for several years and are based in Silicon Valley (with engineering teams there and in Atlanta) and the product was officially launched in 2012. They believe that machine learning will be at the core of solutions for big [...]
While there are many machine learning packages out there, BigML is trying to make them usable by people with just a little experience – to improve the learning curve of machine learning techniques. At the same time they also address the scale challenge as Gigabytes of data override the traditional algorithms. Their product is therefore [...]
Dean Abbot wrote a great post recently “Why Defining the Target Variable in Predictive Analytics is Critical” in which he referenced the CRISP-DM approach to building predictive analytic models and talked about the importance of target variable selection in building an effective model. The thrust of Dean’s post was the crucial point that because The [...]
High-Performance Analytics from SAS consists of SAS Grid Computing, SAS In-Database Analytics and SAS In-Memory Analytics. The latter component has a new addition in the form of SAS High-Performance Analytics (SAS HPA), which was announced in Dec. 2011. SAS HPA is appliance-ready software that uses hardware from database partners (Teradata or EMC Greenplum) for high [...]
Pervasive is best known for its data integration products but has recently been developing and releasing a series of products focused on analytics. RushAnalyzer is a combination of the KNIME data mining workbench (reviewed here) and Pervasive DataRush, a platform for parallelization and automatic scaling of data manipulation and analysis (reviewed here). In the combined [...]
Rapid Insight was founded 10 years ago to develop tools that were easier for analysts to use to quickly extract meaning from data. Rapid Insight has been focused in higher education until recently and is expanding into fund raising and other areas. Rapid Insight Analytics is a pure data mining or predictive analytic workbench designed [...]
Rapid-I provides open source software for predictive analytics, data mining and text mining. Incorporated in 2006, they are based in Dortmund Germany and have been working on RapidMiner since 2001. They have over 35,000 production deployments and more than 400 customers in 40 countries. Banking and financial services is their largest market followed by Pharma [...]
We have released the first version of our Decision Management Systems Platform Technology report. This report is available free for download from http://www.decisionmanagementsolutions.com/decision-management-technology. One of the challenges is that multiple product categories exist in the market for the capabilities we discuss in the report. These product categories often overlap. While there are many Business Rules [...]
