The Boulder BI Brain Trust


Dataupia Frees Your Data

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Dataupia presented their current offerings and future plans, along with a few personal tidbits (which will not be disclosed). The Dataupia group consisted of John O'Brien, CTO, Samantha Stone, VP Marketing, and Lis Strenger, Director Product Marketing.
Dataupia talking 2.jpg
Founded in 2005. Launch was about a year ago with the Satori Server (meaning deep enlightenment from Zen Buddhism - cute!). 58 employees now, with about 100 persons overall. New executives in slots for VP Sales and VP Client Delivery (post-sales field engineering). Partnerships with IBM Cognos (as technology partner) and Tableau. Customers are publicly five named accounts, ranging from 4 TB to 150 TB. Most are in telcomm with movement into retail, emphasizing data retention/compliance and operational efficiency.

We discussed the five workload types that depend on the business requirements for user profile and analytic tools, as shown below.
Dataupia workloads.jpgIt is interesting to compare these types with traditional workload types (like short, long-run...). Data loading was missing from this figure, but it was discussed later and is a strong feature of the Satori Server. A question to ponder is how these business requirements drive the need for various kinds of data loading.

An Aberdeen Group study indicated that companies who are 'best-in-class' tend to adopt DW appliances. The implication seems to be, if you are smart, you should buy a DW appliance. This begs the question as to whether the company needs a DW appliance based on their business requirements. But, it is fair to say that smart companies consider DW appliances as a choice meriting attention.
The feature that I like is the transparency of the Satori Server, as shown below. Essentially, the business user and business application does not know about (or impacted by) the Satori Service because it is hidden behind the primary database to enhance its capabilities. This lessen the rip-and-replace damage to the IT architecture.
Dataupia transparency.jpg
Another point discussed was the shortening the time-to-analysis, which enhances business value by supporting additional types of business users, as shown below.
Dataupia time-to-analysis.jpg
This slide conveys an important point. It is not about shortening query time; it is all about delivering value to a wider range of users.

We spent time looking at specific industry and their specific pain points. This is a sign of maturity for Dataupia as they move their focus from the technology to the business. The challenge is to mature their customer-facing personnel (sales reps).

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