Tag Archives: innovation

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People.ai is using machine learning to rewrite the sales ops playbook

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People.ai, a company bringing machine learning algorithms to sales operations, is emerging from stealth. The platform uses machine learning tech to give..

Sourced through Scoop.it from: techcrunch.com

Remarkable start-up provides an example of combining multiple sources of information about the sales process to provide a dashboard of sales success.    

 

The details:

  • Love that Y Combinator which is in my hometown is a startup accelerator based in Mountain View, CA. invests a small amount of money in a large number of startups (most recently 68). People.AI is part of their summer run.

  • People.AI is working with 50 organizations to gain access to  email, calendar, phone, WebEx, conference tools and other data sources to automate what is a traditionally manual and error prone sales tracking process. Solution provides insight into  what deems to be the average best way to close a deal. So not only is the tech able to see what a salesperson did correctly, but also where they deviated from the playbook.

  • The solution provides insight into what deems to be the average best way to close a deal. So not only are you able to see what a salesperson did correctly, but also where they deviated from the playbook.  

  • This insight is providing a hugh amount of transparency and insight that hasn’t been available before. This is a powerful value proposition. 

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How Analytics Project Teams Improve Innovation Outcomes

3 Different Types of Analytics Project Teams and 3 Questions for How to Get to Innovation Faster

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Analytics Project Management

Analytics Project Team Maturity Model

Running an analytics project is not like any other project. There are only a handful of organizations who are running data projects that link data-driven initiatives to corporate innovation goals. This shows that knowledge on how to run a Big Data project isn’t widely understood by most companies. Analytics projects also fail more than other projects so there are risks which most organizations ignore in their haste to get into the data-driven project space. Who says so?

Few Organizations Have a an Analytics Project Process or Plan

According to PwC, a consulting firm powerhouse, only 4% of companies have an effective data strategy. So doing the nonquant-intensive math, this means that 96% of global organizations neither have a process, nor a plan that allows them to use their data assets for competitive growth or internal improvements. To See this Sad Math Summary, click [here][PwC]. [Pwc]: http://www.cio.com/article/3003538/big-data/study-reveals-that-most-companies-are-failing-at-big-data.html

Most Analytics or Big Data Projects Fail

According to Gartner, most projects fail as projects are treated just like any other project. To see this Second Sad Summary, click [here][Gartner]. [Gartner]: http://analytics-magazine.org/the-data-economy-why-do-so-many-analytics-projects-fail/