Predictive Analytics: Four Attributes
Predictive and prescriptive analytics are new territory to most companies working in big data today. According to Gartner Group, Predictive analytics describes any approach to data mining with four attributes:
SalesChoice specializes in Predictive Analytics and Making Sales a Science. We launched our new Predictive Insight Engine in the Fall of 2014, and we are in rapid commercialization mode currently.
We are under very restrictive NDAs as our science is uncannily smart and is reliably predicting future outcomes at 85% or more accuracy. Every client has received value and insight. How they apply this intelligence is something we are continuing to research. But what is clear our data scientists are finding incredible
Series 1: Brave ‘Now’ World Part
This is part three of a three part series. Today with so much data coming into organizations, the majority of companies are challenged to source new insights. Increasingly out world operates in near real time, and we expect our data and our patterns to unfold at the right point in time.
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.
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.
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.