Results matching “birst” from Boulder BI Brain Trust Blog

Birst is a Software-as-a-Service (SaaS) company focusing on BI tools and solutions. Presenting are Brad Peters, CEO and Stefan Schmitz, Sr. Director of Product Management. Product launched in September last year and has some large customers, such as RBC Wealth Management, Spectrum Consulting, and Securian. Birst currently has more than 50 customers most of whom do not want their name released. A typical customer has 50 users with approximately 500 gigabytes of data. However, the largest customer has around five thousand users, terabytes of data, dozens of data sources, and displaced Oracle Financials with same functionality at a much lower cost. Birst is staffed with experienced BI veterans and funded by Sequoia Capital and Nummer-Winblad Venture Partners. "We are well funded," said Peters with hopes of being profitable next year. 

Peters described their target market at the gap between end-user ad-hoc reporting and departmental analytics, as shown with the dotted oral in the figure.

Birst emphasized the economics of deployment of the application, not necessarily the usability. "Birst has rationalized the infrastructure and re-engineering the IT supply chain, like Home Depot and Walmart has done in their markets," said Peters. @NeilRaden asked how does Birst do the integration of all that messy user data? "You can not turn straw into gold," said Peters. But, Birst does do a reasonable metadata analysis and generates the likely multi-dimensional model, which can then be fine tuned.

Birst differentiates themselves from LucidEra and other BI SaaS vendors by focusing on data integration capabilities. @NeilRaden quipped, "Data integration is like making sausage. You really do not want to know much about the process!"

Infrastructure for Birst has been built internally. They did not use open-source software since "it is not that good," remarked Peters. Birst uses both row and column oriented relational engines.

Demo time! Schmitz took us on a end-to-end solution scenario. Built a template with 'automatic' data upload, creating a dimensional metadata model. This model will then create keys, etc. The automatic mode is for simple users with simple data, but an advanced mode can be used by a data modeler to handle complex data. Point to your data files, or connect to a relational database, or connect to popular applications like Google Analytics and Salesforce. In 3 minutes, it produced a clean model and set of dashboards of the Northwind database from a zipped copy of an Access database. There is a nice way of displaying the dimensional model, allowing for fine tuning to that auto model  ...and nice set of pre-built analytics on all combination of attributes, measures and time-series ...and fairly comprehensive set of options for report/chart formatting. Schmitz took us on a tour of various reports/charts flipping through the attributes/measures (facts/dimensions). Sharing of reports/charts is done via folders with customized permissions.

Discussion of future features under NDA...

My Take...  Birst does have a value proposition for business users suffering under a weak corporate IT infrastructure...especially based on quick time for deployment, low skill requirements, and low pay-as-you-go cost structure. This implies to companies of any size. Peters remarked, "Smaller companies have difficult, even complex analytical problems." As wasvtweeted by @NeilRaden, who continued, "The less you know about IT, the more difficult questions you will ask!"

The long-term strategy would be enhanced if there was a better value proposition for the enterprise IT folks. At the moment, there can be a tense relationship. There are several ways to make enterprise IT happy, such as: data integration-as-a-service, dimensional-modeling-as-a-service, report-generation-as-a-service, chart-publishing-as-a-service ... all integrated back into the enterprise data warehouse. I would suggest that we should think of Birst as the front-line troops that capture new territory (unsupported BI applications) that will eventually be blended back into your IT empire. Now that is exciting!

Big group today for BIRST full house here in Boulder and on the conference line today. Looks like the trend continues that SaaS based solutions have a great buzz around them. I was fortunate to meet the BIRST team in San Francisco a while back and found the product to be very interesting and robust. The executive team is Ex Siebel, Oracle, Hyperion, Cognos MicroStrategy and SAS people. Strong funding as well from Sequoia Capital the product was launched in September of 2008 and is serving 1000's of users and they have dozens of customers.

Brad Peters, CEO and Stefan Schmitz, Sr. Dir of Product Mgt are visiting today. The company viability issue came up early today in the wake of Lucidera closing down so we were interested in how the stability of BIRST is being effected. The good news is that they have 1/2 their VC funds still in the bank, a multi-year run rate and expect to go profitable next year.

BIRST is focused on integration, information delivery and analysis and feels they bring a more substantial infrastructure to the market then the remaining SaaS business intelligence competition. I like the aim at the smaller market. They will find better traction with clients that are sub-terabyte in needs and provide BI between the big stack guys and excel spreadsheet BI users in the market.

The interface of the BIRST solution is very elegant and does a good job of leveraging advanced features for web based applications. Overall the features in BIRST seem well positioned to serve the needs of 80% of most BI users I think this is a positive. Its not cluttered with stuff that only the highest end power users demand but easily delivers the features most users would need. The ability to dive in and customize is impressive and very intuitive.

We were briefed on future road map for the product and the new features coming down the line will move BIRST forward in a strong way....sorry NDA no more details.