data warehouse

Randy Lea came back on o talk about Teradata Aster. He started by re-emphasizing what he sees as the value of big data and big data management. Teradata, he says, has a strong infrastructure for acquisition, integration and access to data. Adding Big Data into this environment is about allowing data to be landed quickly [...]

Next up is Randy Lea with a discussion of Teradata’s UDA – Unified Data Architecture. The challenges of managing and analyzing data have not really changed in years – people still worry about complexity, volume and ease of analysis just like they always have. Competitive differentiation continues to require management  of data and delivery of [...]

Day two of the Teradata Influencers event started with Hermann Wimmer, co-president. Hermann gave us an introduction to the overall company strategy. Teradata has two co-presidents, one focused on data and analytics and one focused on marketing applications with some shared services. This allows  them to focus on the three markets there see for their [...]

I am attending the Teradata Influencers Summit in lovely Del Mar, California. First up is Oliver Ratzesberger, Senior VP of Software, to talk about recent technology innovations and technology strategy. Oliver highlighted some of the key trends and themes for Teradata. He began with a maturity model for “the sentiment enterprise” (video here): Agile Data [...]

At IBM Insight 2014 this week to hear about IBM’s latest data and analytics offerings. Tomorrow I will be speaking myself on how event-centric decisions represent an inflection point in real-time decision making. For now though it’s going to be all IBM. After some great rah-rah intro material from Jake Porway and Jeff Jonas, Bob Picciano came [...]

I am giving a webinar on October 1, 2014  at 1:00 p.m. Eastern / 10:00 a.m. Pacific with Teradata on Don’t Move Your Data: Deeper Analysis, Faster Results, Lower Cost Are your analysts spending too much time and effort analyzing growing data volumes? Free your analysts from the limitations and restrictions of the traditional analytic architecture [...]

I got an update from WebAction recently. WebAction was founded in 2012, is backed by Summit Partners and is headquartered in Palo Alto, CA. The founders come from working together at GoldenGate and some prior companies, such as WebLogic. WebAction’s focus is on what they call “Data Driven Apps” – on moving from data presentation [...]

I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research.  Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A [...]

With the fourth post in this series I am going to talk about Hadoop – something with even more hype than R or predictive analytics. As we all know the era of Big Data has arrived. As anyone who reads the IT or business press knows, there is more data available today,  this data is no longer [...]

I am working on a paper, for publication in early 2014, on the role of standards such as R, Hadoop and PMML in the mainstreaming of predictive analytics.  As I do so I will be publishing a few blog posts. I thought I would start with a quick introduction to the topic now and then [...]

Valen Analytics has been around since 2004 and is focused on providing proprietary data, analytics and predictive modeling to the Property and Casualty market with 25 customers in production. To help carriers manage and segment their portfolios to drive underwriting profitability, Valen develops productized models based on pooled consortium data for carriers. Valen’s InsureRight platform [...]

In the 9 months or so since I last wrote about Revolution Analytics they have released a new version of Revolution R Enterprise 7. This is focused on delivering “Write once deploy anywhere.” R, of course, continues to expand in popularity with the recent Rexer Data Mining survey (reviewed here) putting the percentage of data [...]

Attending the Teradata Partners conference and getting a briefing on the Teradata UDA – Unified Data Architecture.  The UDA brings together Teradata’s traditional Enterprise Data Warehouse (EDW) products, its Teradata Aster discovery platform and a variety of partner technologies. UDA was announced in 2012 and they have been adding integrations and partnerships since then. Specifically [...]

As part of some ongoing research on support for PMML I recently spoke with Concurrent. Concurrent is an enterprise software company focused on simplifying Big Data development on Hadoop. The company’s core product is called Cascading. This is a free, open-source, development framework for Apache Hadoop designed to let developers build sophisticated data processing applications [...]

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 [...]

I got caught up with Informatica recently, checking in with them on their Complex Event Processing (CEP) technologies. They have recently been talking about decision management, especially in healthcare where their new Informatica Proactive Healthcare Decision Management solution is based on their CEP engine. Like me Informatica see a historical, summarization focus in business intelligence [...]

It has been a while since I was updated on IBM SPSS Modeler and I got an update from IBM recently. IBM SPSS Modeler is, of course, IBM’s primary data mining and predictive analytics workbench. It uses a standard workflow metaphor, letting you string together nodes that process data, run algorithms, score data, etc. Both [...]

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, [...]

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, [...]