
Recently, there was an article on ZDNet speculating that Salesforce.com may be moving away from its ‘social enterprise‘ marketing meme. In hindsight (being 20/20 and all), this should not be surprising:
Recently, there was an article on ZDNet speculating that Salesforce.com may be moving away from its ‘social enterprise‘ marketing meme. In hindsight (being 20/20 and all), this should not be surprising:
“I just want to say one word to you. Just one word.
Yes, sir.
Are you listening?
Yes, I am.
Plastics.”
– The Graduate
We are undergoing a renaissance in the business intelligence space.
It started with companies like QlikTech and Tableau who sought to empower departments and analysts who were frustrated with the lengthy, inflexible, and costly implementations of monolithic, traditional BI solutions (this new movement has oftentimes been referred to as ‘self-service BI‘ which is part of the overall ‘consumerization of enterprise software’ trend).
More recently, companies such as SiSense, Platfora, EdgeSpring, GoodData, and others have taken up the cause promising new insights with unprecedented speed, flexibility, and/or scale.
While I am excited by the flurry of activity and innovation in this space, there are glaring gaps that have yet to be addressed.
“It’s a thin line between love and hate…”
– The Persuaders
Happy Valentine’s Day!
Let me use this occasion to confess that I am conflicted: I both love and hate the term ‘Big Data’.
I detest ‘Big Data’ for the simple reason that it has become so pervasive and so overused as to be rendered meaningless (perhaps even more so than ‘cloud computing’).