Why Can’t All Companies Operate with the Same Data-Driven Intelligence as Google or Amazon.com?

Salesforce_Logo_2009 (1)Originally posted on PandoDaily by Jamie Grenney

When I joined Salesforce.com in 2002, the question we were trying to answer was “Why isn’t all enterprise software as easy to use as Amazon.com?” That simple idea gave rise to a billion dollar business.

The cloud-computing model was so disruptive because it dramatically reduced the risk and lowered the total cost of ownership for software. For the first time, companies of all sizes were able to successfully adopt CRM systems. Today I believe we are on the precipice of another disruptive shift. One that is going to unfold quickly and unlock huge productivity gains for companies.

Why Most Product Managers Suck

Originally posted on TheNextWebbrainstorm-idea-730x503

The first product manager (PM) is a crucial unicorn hire that no startup should compromise on. The reason is simple – your PM is responsible for managing your team’s most precious resource: time.

Unfortunately, nearly everyone seems to think they’d make a great PM (engineers, consultants, you name it), but the reality is that most folks just can’t hack it. I’ve worked with countless PMs at huge companies like Yahoo and Google, and over the past two months have interviewed over twenty PM candidates.

Top 20 Sales and Marketing Thought Leaders Who Are Influencing Predictive Scoring

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As we’ve been building Infer’s predictive lead scoring engine over the past three years, we’ve also been following many brilliant thought leaders who are contributing to a range of discussions near and dear to our hearts. So in the spirit of Valentine’s Day, we thought it’d be fun to survey our team on their favorite influencers in the space, and send some love their way. We’ve compiled part of that list below — spanning experts in the realms of CRM, marketing technology and general marketing and sales best practices. Our list of top data science and predictive analytics experts is published here.

What will CRM look like in 2015?

GigaOmWhen I joined Salesforce.com in 2002, the question was, why isn’t enterprise software as easy to use as Amazon.com? That simple idea transformed an industry and gave rise to a $24 billion dollar business. With enterprise cloud computing, the technical barriers to CRM adoption were overcome, providing a clear path to CRM success.

A little more than ten years later, I believe we are on the precipice of another disruptive shift. The question we are asking today is, why aren’t companies able to operate with the same data-driven intelligence as an Amazon? As I see it, there are at least two major obstacles holding us back.

Continue Reading on GigaOm

Customers are the New Oil: Beyond Sales Wildcatting

“Data is the New Oil” has become a pretty tired phrase, and a strangely circular one — nowhere has advances in data practices and technology had more impact than in the search for oil. Maybe “Data is the New Oil for Finding Oil?”
For those of us in B2B Sales and Marketing, a more interesting analogy is between Oil and Customers. Customers are what we seek, our goal, the thing that — when we find them — pays.  For us, Customers are the (New) Oil. 

The early days of the American Oil industry was dominated by Wildcatters, folks who acted on hunches or rules of thumb and drilled speculative wells. If a well was dry, they tried again somewhere else, continuing until, hopefully, they eventually hit a gusher.