SiSense, a provider of Big Data Analytics Software, recently announced Prism
3.0, the latest version of its end-to-end Business Intelligence (BI)
With over 100 new features, Prism 3.0 introduces breakthrough in data access.
Prism 3.0 enables customers to work with more data faster, regardless the
number of datasources, no matter how big their data is or how fast it grows.
A fully featured trial of Prism 3.0 can be downloaded for free here.
More Data, No Code
Traditional Business Intelligence tools require users to learn proprietary
scripting languages to access and combine data. This process prevents
non-technical users from working with data and building analytics quickly. In
contrast, SiSense makes working with data a breeze. The solution lets
business users combine data from Cloud and On-premises sources without any
coding or scripting.
“It's fantastic... (more)
In recent times, one of the most popular subjects related to the field of
Business Intelligence (BI) has been In-memory BI technology. The subject
gained popularity largely due to the success of QlikTech, provider of the
in-memory-based QlikView BI product. Following QlikTech’s lead, many other
BI vendors have jumped on the in-memory “hype wagon,” including the
software giant, Microsoft, which has been aggressively marketing PowerPivot,
their own in-memory database engine.
The increasing hype surrounding in-memory BI has caused BI consultants,
analysts and even vendors to spew o... (more)
OLAP (Online Analytical Processing) technology is the most prevalent
technology used in corporate BI solutions today. And while it does what
it’s supposed to do very well, it has a bad (and accurate) reputation for
being very expensive and difficult to implement, as well as extremely
challenging to maintain. This fact has prevented OLAP technology from gaining
wide popularity outside of Fortune 500-scale companies, which are the only
ones who have the budgets for company-wide, OLAP-based BI implementations.
Since the inception of BI and consequent entrance of OLAP technology into ... (more)
A few months ago, I wrote an article about the relationships between business
intelligence platform vendors and their distribution networks, and where
these relationships are headed.
The key message in that article was that Value-Added Resellers (VARs) must
understand that self-service business intelligence is where the market is
headed – and adjust their business models accordingly. A company selling BI
solutions based on another company’s BI platform will need to provide real
added value to the customer in order to stay in business. In the
not-too-distant future, this value wi... (more)
Business intelligence in the cloud is hot topic recently, as part of the hype
surrounding the cloud in general. I am not a big fan of cloud BI and I have
mentioned that several times. However the topic does merit discussion.
The advantages of the cloud over on-premises are pretty straight forward.
However, as far as business intelligence implementations are concerned, the
question to me was always whether the benefits outweigh the unique challenges
the cloud introduces. If all business data was in the cloud, there was a
definite case to make for implement business intelligence sof... (more)