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From the Founder of Good Data, NetBeans and Systinet

Roman Stanek

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Top Stories by Roman Stanek

SaaS Journal on Ulitzer Back in the old good days of enterprise software, we did not need to worry about our customers. We delivered bits on DVDs – it was up to the customers to struggle with installation, integration, management, customization and other aspects of software operations. We collected all the cash upfront, took another 25% in annual maintenance. Throwing software over the wall … that’s how we did it. Sometimes almost literally… I now live in the SaaS world. My customers only pay us if we deliver a service level consistent with our SLAs. We are responsible for deployment, security, upgrades and so on. We operate software for our customers and we deliver it as service. Roman Stanek keynoting at Cloud Computing Expo Europe last May in Prague But there now seems to be a new way how to “throw software over the wall” again. Many software companies have repacka... (more)

COSS BI: Open Source, Open Core or Openly Naked?

BI on Ulitzer Peter Yared wrote recently a BusinessWeek guest blog post called “Failure of Commercial Open Source Software.” Not surprisingly his post caused a lot of angry replies from people who work for COSS companies. “The emperor is not naked” they argued. I believe that the COSS emperor is openly naked. And the discussion shouldn’t be whether COSS is a complete or a partial failure just because there are few successful exits that Peter neglected to mention. At the end of the day Peter’s comment that “selling software is miserable” is true. Every sales rep involved in selling ... (more)

In BI, APIs Are the Cloud’s OEM

To put it simply, I am in the business of building platforms. NetBeans was the first extensible Java IDE platform with plug-ins back in 1999. Systinet had a product that was actually called Web Application & Services Platform (WASP). But both NetBeans and Systinet were “only” what my investor Marc Andreessen calls Platform Level 2: This is the kind of platform approach that historically has been used in end-user applications to let developers build new functions that can be injected, or “plug in”, to the core system and its user interface. (Everyone should read Marc’s excellent ar... (more)

Big Data Conundrum: Show Me the Money!

Inventory levels. Sales results. Negative comments on Facebook. Positive comments on Twitter. Shopping on Amazon. Listening to Pandora. Online search habits. No matter what you call it or what the information describes, it’s all data being collected about you. Thanks to new technologies like Hadoop, once-unquantifiable data (like Facebook conversations and Tweets) can now be quantified. Now, because nearly everything is measurable, everything is measured. The result: companies are spending big dollars to collect, store and measure astronomical amounts of data. Show me the data!... (more)

Big Data, Small Screens

Yesterday, I nearly drowned in a sea of extraneous data. In just one hour during an important conference call, my laptop overflowed with 300 e-mails from an email thread I frankly didn’t care about. Imagine how much time I could have saved if my system knew I was unavailable, and sent me only the two notifications I truly needed: That the customer I was on the call with owed us an invoice, and that my next appointment was delayed by half an hour. Clearly, enterprise users need an easy and intuitive way to parse all their data into a useful context. Just as clearly, they also need ... (more)