BI

As part of an ongoing expansion of our ecosystem mapping to include more Hadoop-based products I recently got an update from Datameer. Datameer was founded back in 2009 by Stefan Groschupf, who was one of the original contributors to Nutch, the open source project that spun off Hadoop. Prior to starting Datameer, he and the [...]

I gave a webinar today on Improving Analytics Results with Decision Modeling in association with the International Institute for Analytics. If you would like to see the recording, check it out here. We have also posted the slides to our Slideshare channel: Finally don’t forget the great white paper we have on Decision Modeling for [...]

Last week we sent out a newsletter with a whole set of upcoming Decision Management events – chances to hear me speak in person, webinars we are participating in and even some live training events. For example: Come to a webinar with the International Institute for Analytics on how to Improve Analytic Results with Decision [...]

There’s a great article over on Computerworld – 12 predictive analytics screw-ups. They asked some of my favorite data miners (John Elder and Jeff Deal of Elder Research, Eric Siegel of Prediction Impact and Dean Abbott of Abbott Analytics) what they saw as the top ways to screw up predictive analytic projects. The list of 12 [...]

I am giving a 30 minute webinar at 10:30am Pacific/1:30pm Eastern on August 1 on the 4 Ways Decision Modeling Creates a Data-Driven Culture. Decision modeling plays a key role as organizations transition to a data-driven culture. A recent Harvard Business Review survey revealed that data-driven decision-making is taking root in leading organizations and showing a [...]

As part of our ongoing series on Marketing Decision Management solutions, I got an update from [24]7 recently. Based in Campbell, [24]7 was founded back in 2001 and is focused on helping companies deliver an intuitive customer experience. Still privately held, they were originally focused on managing contact centers, but for several years their primary [...]

Well that’s a wrap for the IBM Big Data Analytics Analyst Insight 2013 event. I’ve blogged 13 sessions and attended a couple of others plus had dinner at the Hockey Hall of Fame and seen the Stanley Cup. A few closing thoughts: Like IBM I believe that the power of Big Data lies in its [...]

Next up is a session on the new infrastructure and platforms for analytics. IBM’s view (and I would agree) is that use cases for analytics are evolving to increasingly combine traditional structured data and newer unstructured, more dynamic, “Big Data” sources. As customers change the time frames in which they need to make decisions (more [...]

Mychelle Mollot kicked off day 2 of the Analyst Insights event discussing the analytic skills gap. Only 1 in 10 organizations, she says, feel they have the tech skills they need while 3 in 4 students feel they lack the skills they need. Meanwhile 72% of academic institutions believe they generate employable graduates but only [...]

After lunch at the analyst summit and it’s time for a customer panel involving BMW, Business Analytics Services and Omnicom Group hosted by Les Rechan of IBM. BMW’s initial analytics work was around diagnostic data analysis in the quality area and has grown into a larger corporate analytics with over a hundred projects centered around [...]

Bob Picciano and Les Rechan came up next to discuss Big Data and Analytics: Fueling Competitive Advantage in the New Era of Smart. Five years ago IBM launched the Smarter Planet initiative. On a smarter planet, they say, everything is connected and instrumented and this is reflected in the explosion of Big Data. To drive value [...]

I am speaking at the TDWI Executive Summit  in San Diego, August19th at 11:15am on Moving to Real-Time Analytic Decision Making with Decision Management For organizations today, the right time to make a decision is increasingly in real time. Customers want responses in real time, supply chains must adapt to disruption in real time, and fraud must [...]

I am a faculty member for the International Institute for Analytics and recently published two new briefs on how to use decision requirements modeling in the successful application of analytics, especially (but not solely) more advanced analytics such as data mining or predictive analytics. Decision Discovery for a Major Business Function This outlines how an organization [...]

I have been following the Data 2.0 Summit folks recently – the Third Annual Data 2.0 Summit 2013 in San Francisco is a one-day conference and speakers include Anthony Goldbloom, CEO of Kaggle, who is always worth listening to and you can get 20% off your Data 2.0 Summit pass by clicking this link. Anyway, the theme this year is that [...]

Phil Francisco came up to talk about the new PureData System for Hadoop. He began by pointing out that just because something is open source does not mean there are not real costs involved. To make Hadoop adoptable and usable for enterprises, easier consumption is needed. Hence the PureData Hadoop appliance designed to simplify building, [...]

Next up is Inhi Suh focusing on the Big Data platform announcements. She began by reiterating the various use cases Bob mentioned earlier: Enrich your information base by analyzing more data faster Improve customer interaction with richer view of customer Reduce risk and prevent fraud in security/intelligence Optimize infrastructure and monetize data Gain IT efficiency [...]

Tim Vincent, CTO of Information Management, came next to talk about DB2 with BLU Acceleration. He began by identifying several different kinds of workloads and scenarios that the new solution is designed to address and pointed out the context for this is rapidly changing hardware capabilities and pricing. Memory prices are falling,bandwidth inside machines is increasing, [...]

I am attending the IBM Big Data Management launch today and will do my best to blog it as it happens. Steve Mills, on video, kicked things off. Steve began by pointing out that the price performance boost of recent years has made a whole new class of use cases reasonable. In particular more data [...]

Saffron Technology is focused on prediction and sense making using associative memories. Associative Memories automate cognitive thinking by building connections and counts from large amounts of data. Saffron Technology uses a NoSQL / schema free approach and have developed technology to reason in real time by recalling the connections in the context of the raw [...]