Welcome!

From The Co-Founder of Business Intelligence Software Company SiSense

Elad Israeli

Subscribe to Elad Israeli: eMailAlertsEmail Alerts
Get Elad Israeli via: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Top Stories by Elad Israeli

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 customers. Several new companies have emerged and are promoting a new golden age of BI which they say will be faster, easier and cheaper than conventional business intelligence. While this sounds fantastic at first glance, it might be a good idea to look beyond the hype to determine if deploying a BI solution in the cloud offers the same types of advantages of other SaaS solutions, such as CRM, ac... (more)

Columnar RDBMS, Gourmet Fast Food and Santa Claus

Boris Evelson of Forrester recently published a blog post titled It's The Dawning Of The Age Of BI DBMS (Database Management System). I took note that in this post he classified Vertica, ParAccel and Sybase IQ in a category he named ‘Columnar RDBMS (Relational DBMS)’, and that started off a friendly email exchange as to what the heck that really means. I said: “RDBMS is tabular, by definition.” ...and Boris said: “To me if I can access something via SQL, it’s relational.” Who’s right is a matter of perspective, I suppose. But technically, defining RDBMS by the existence of SQL a... (more)

The Catch 22 of Traditional Business Intelligence

So much has already been said about how much of a pain business intelligence is. The complexity, the constant IT bottlenecks, the crazy cost of software, hardware, consultants and whatnot. Gil Dibner of Gemini Venture Funds (formerly of Genesis Partners) described it very eloquently and in great detail in his blog post about the SiSense investment round. Since business intelligence imposes so many challenges, every existing BI vendor picks his favorite ones and positions itself as the best at addressing it. Some focus on providing easy to use front end tools for the business user... (more)

From OLAP Cubes to ElastiCubes – The Natural Evolution of BI

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)

BI and Analytics - with or without a Data Warehouse

As defined by Wikipedia, BI and analytics is a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business purposes, while a data warehouse is a central repository of data which is created by integrating data from one or more disparate sources to serve as a single, clean and accurate business "truth." When implemented in conjunction with a data warehouse, BI is centralized under the IT department and therefore enjoys cleaner, more accurate data and the ability to serve as the organization'... (more)