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 out endless articles, blog posts and white
papers on the subject, many of which have also gone the extra mile to
describe in-memory technology as the future of business intelligence, the
death blow to the data warehouse and the swan song of OLAP technology. I find
one of these in my inbox eve... (more)
For a couple of years now, there has been a substantial amount of hype in the
business intelligence (BI) space regarding “cloud BI,” or business
intelligence systems hosted by Internet “cloud computing” service
providers. This “cloud BI”, which is actually SaaS
(software-as-a-service) BI, has been riding the wave of cloud computing in
general, with the lower startup costs, faster deployment and easier
scalability that cloud-based software implementations promise business
Several new companies have emerged and are promoting a new golden age of BI
which they say will ... (more)
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 comb... (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)
When we first began marketing and selling our software over the Internet, we
used Google Analytics extensively. SiSense was a young and small company
then, with a tiny marketing budget relying on cost-effective online marketing
to acquire customers, and therefore any free tool that gave us more
information than we already had on how our marketing dollars were being spent
was a crucial weapon for surviving this tough economic climate.
Using paid services, such as Omniture, wasn't an option strictly for pricing
reasons. We used what we could afford, and at that point we couldn't aff... (more)