Jeff Kelly takes a look at IBM’s data solutions portfolio:
IBM has the broadest and deepest Big Data product and services portfolio in
the industry, as well as the market leading revenue to show for it. But
IBM’s greatest asset also lies at the heart of its biggest challenge. With
such a diverse set of Big Data capabilities, IBM has struggled to unify them
into distinct, compelling offerings. How IBM responds to the challenge of
bringing together such a broad and deep set of technologies and services -
many the result of $16 billion worth of analytics-related acquisitions since
2005 - into consumable and effective product offerings will largely
determine the company’s success (or failure) in the Big Data space and will
have major implications for enterprise CIOs.
There are two things that I’m not sure I understand:
is it a known strategy leading to more sales to have a confusing portfolio of products?
Basically you offer so many products that a customer will be so confused that he’ll have to hire your consultant to make the buying
when ranking companies by sales, wouldn’t make more sense to compare revenue/employee than raw numbers?
Which company is better? A company with 2 sales people generating $1mil in revenue or a company with 100 sales people and 100 consultants generating $20mil?
Original title and link: IBM Accelerates Its Big Data Portfolio ( ©myNoSQL)