By Cindy Gordon
Part one of this three-part examined how big data has changed our approach to crafting business questions and the expectations of what information we’ll have access to when we make decisions.
Today analytics is moving rapidly into business operating processes and practices. The term being coined to describe this new field is machine-to-machine process intelligence, which at its core is predictive analytics.
Series 1: Brave ‘Now’ World Part
As humans, we have an insatiable appetite for deriving insights from data. With the intensification of big data and the promise of connecting the dots, our hunger for meaningful insights is greater than ever.
We rely on data for daily tasks without a second thought. We scour the web and mobile apps for movie recommendations, gift purchases, climate patterns, transportation foresight, healthcare, fraud detection, consumer behaviour, future sales outcomes, and even for the ideal romantic companion.
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Last month, Rick Spence interviewed Dr Gordon about SalesChoice and the Science of Selling. We’ve pasted an excerpt below. See the full article here.
Cindy Gordon has been a banker, consultant, venture capitalist, and a national technology guru. Now she’s an entrepreneur running her own digital startup. What opportunity lured her onto the front lines? She says SalesChoice, which offers an easy-to-use sales-management alternative to market leader Salesforce, will leverage advanced math and predictive analysis to change the way companies sell. Her team’s ultimate goal: to win a Nobel Prize.
This blog was originally published by IT Business on February 8, 2014.
In the first post of this series, I defined the differences between business intelligence, big data, and predictive analytics. In the second entry, I looked at the benefits of predictive analytics. In this third and final entry to the series, I’m summarizing why predictive analytics is important to the future of business. In the words of Newton’s Third Law, “For every action there is an equal and opposite reaction.”
Originally posted on ITBusiness on February 7, 2014.
The last post I wrote at ITBusiness defined three market segments: predictive analytics, business intelligence, and big data to help frame a baseline of understanding. This blog post I wanted to continue our conversation and focus on why you should care, or with my western heritage, we always used to say, where is the beef?
This post was originally published by ITBusiness on February 6, 2014. It can be accessed here.
I must admit, I can get easily confused in discussing predictive analytics, or business intelligence, then adding the term big data in the mix, the sense-making becomes more challenging. With this market being so enormous and promising claims of unparalleled competitive edge, a few simple insights to decipher what’s in the market playbook – can only help us all learn more rapidly.
Originally published at ITBusiness.ca on December 16, 2013
Effective use of data, especially predictive analytics, will give businesses a strong competitive advantage.
Analytics delivers significant benefits to businesses of all sizes. McKinsey research has indicated eight to 10 per cent CAGR rates for companies using these approaches. Our industry research sees possibilities of 20 to 50 per cent growth possibilities for businesses.
By Dr. Cindy Gordon, CEO & Founder, SalesChoice Inc.
(An Excerpt from her new book: SalesPredictions:The Next Big Thing in Sales (Q1, 2013).
This is a very exciting time to be involved in the Sales Enablement field, as the methods are rigorous, and designed to unlock hidden patterns, creating new conversations to unlock new possibilities. We never know what we will find, but we always unlock some new gems – that has this OMG reaction of C levels.
When Garry Wood took over as CEO of WorldLynx in October 2010, Bell Canada’s largest wireless reseller, he had other top priorities besides an impending implementation of Salesforce.com – but found it tough to negotiate delaying the contract by a year.
