March 16, 2007
Have analytics vendors rediscovered ease-of-deployment?
Business intelligence (BI) used to be characterized by speed and cost-effectiveness — short sales cycles, low-cost departmental purchases and deployments, evasion of IT departments’ strangleholds of data, and so on and so forth. That focus has blurred, as BI vendors have increasingly focused on analytic applications or enterprise-wide standardization sales. But increasingly I’m seeing signs that the pendulum has swung at least partway back. For example:
- Business Objects and Netezza have announced a mid-range BI appliance.
- Ingres is headed in the same direction.
- QlikTech is enjoying great growth for its fast-deploying BI technology.
- KXEN and Verix offer “easy” data mining technology.
- Search-based BI is trying to circumvent the data warehouse deployment process.
It’s about time.
Categories: Analytic technologies, Business intelligence, Computing appliances, Data mining, DBMS vendors and technologies, Usability and UI
Subscribe to our complete feed!
Comments
2 Responses to “Have analytics vendors rediscovered ease-of-deployment?”
Leave a Reply
[…] On the other hand, Netezza claims lots of sales momentum, and that’s certainly consistent with what I hear from its competitors. It also gets the occasionally cool partnership, like the Business Objects BI appliance deal. And in response to the long-standing concurrent-usage knock, I am assured there are now multiple customers with >500 users getting daily reports, doing 10s of 1000s of queries per day, and so on. Since the overall count of enterprises with multi-thousand seat BI deployments isn’t all that terribly high, this serves as substantial – even if not total — reassurance on that score. […]
Interesting point! It seems analytics vendors are indeed focusing more on ease-of-deployment, making it simpler for organizations to integrate and utilize their solutions. This shift can significantly reduce barriers to adoption and enhance user experience, ultimately driving greater insights and value from data. It will be exciting to see how this trend continues to shape the analytics landscape!