Posted By: Meri Gruber | Posted On: 21st March 2017 |
Many organizations today are investing heavily in data projects to improve data-driven decision making. But paradoxically most of these projects don’t consider decisions explicitly. Data projects usually begin with data capture before understanding what data will be useful, for what action and for what benefit. Without understanding the decision making that will improve business performance and […]
Posted By: Meri Gruber | Posted On: 7th February 2017 |
Everyone wants to make better data-driven decisions. Reporting is getting in the way. Everyone wants to make better data-driven decisions. Many companies are using reporting to support decision making but their ability to do so is bogged down. There are too many reports, resources are committed to existing reports and the link from reports to […]
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: Meri Gruber | Posted On: 19th June 2015 |
We’ve posted Version 7 of our popular Decision Management Systems Platform Technologies Report with new content on The Analytics Capability Landscape. We also welcome new vendors Blue Yonder and Erudine to the platform vendor index. Overview Organizations are adopting a new class of operational systems called Decision Management Systems to meet the demands of consumers, regulators and […]
Posted By: Meri Gruber | Posted On: 2nd June 2015 |
The presentation and recording from our recent webinar, The Value of Predictive Analytics and Decision Modeling, are now available. Successful predictive analytic projects follow a well-defined approach from requirements to modeling, implementation and deployment, embedding the analytic results in operational systems that improve business performance. In this live webinar recording, James Taylor, CEO and Principal Consultant […]
Posted By: James Taylor | Posted On: 21st August 2014 |
Gregory over at KDNuggets had an interesting post with some Top Analytics and Big Data trends ahead of Strata Hadoop NYC Conference based on input from their readers. Three trends struck me: The challenge of communicating complex analyses to non-technical clients/partners We are having increasing success using logical decision models to show how data and analytics drive better […]
Posted By: James Taylor | Posted On: 6th August 2014 |
Actian has recently released its new Actian Analytics Platform (blogged about here) to deliver scale, parallelism, advanced analytics etc. Following on from this they announced a new offering, Clear Path. The Clear Path Program is designed to provide blueprints to help customers adopt this platform and deliver “transformational value”. Clear Path Analytics Blueprints package up Actian’s analytic expertise (from their CoE) to jumpstart analytic projects.
Each blueprint is a validated approach to some real-world big data problem (something that their CoE team has been asked to help with). They contain a set of steps and analytic workflows that develop advanced analytics using both traditional and newer data sources. The blueprints a
Posted By: James Taylor | Posted On: 12th May 2014 |
TIBCO Spotfire 6.5 (announced last month) has new capabilities around easier access to data, location analytics and R. To support effective data discovery and visualization, TIBCO believes it is essential to allow users easy access to analytics against the increasingly wide range of data sources that are available. It’s not enough that the visualization tools are easy to use – it must also be easy to bring in new data sources and to leverage the full capabilities of those data sources. With Spotfire 6.5 TIBCO has focused heavily on making it easier for a user to bring in new data sources to the visualization environment including Hadoop-based sources, and to easily interact with that data. In particular Spotfire 6.5 allows parameterized SQL driven by UI elements that is then optimized for the particular back-end data source so that users can take advantage of the power of each of these data sources.<
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: 1st May 2014 |
SAS® Enterprise Miner recently got a major release – 13.1 – focused on machine learning, scalability and productivity. It’s been a while since I blogged about SAS Enterprise Miner (last review here) so this might not be a complete list of the improvements since then.
The machine learning focus added High Performance Support Vector Machines and Clustering while upgrading the HP Neural Network and Random Forest algorithms. From a scalability perspective the Principal Components, GLM, Bayeisan and Time Series Data Mining algorithms were all updated for high performance (multi-threaded parallelism etc). The high performance algorithms work the same and are dropped into SAS Enterprise Miner as nodes the same as always. These high performance data mining algorithms have been added in each of the last few versions. The intent of all this work is to support modelers so they can use all the data th