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Blog #3: Global Leaders: On the Innovation Edge

 

Blog #2 discussed the history of predictive analytics from the perspective of Artificial Intelligence, and traced leadership from both classical philosophers like: Aristotle, Euclid, in ancient times to covering more modern times, profiling British mathematician Alan Turing. His provocative innovation question posed at a 1956 conference: “Can machines think?”, spurred on the Artificial Intelligence (AI) movement, and unleashed a cosmic energy force that has some modern scientists, worried, others see the positive effects.

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Blog #2: A Closer Look at Artificial Intelligence

THE HISTORY AND ROOTS OF PREDICTIVE ANALYTICS

Blog #1 discussed the history of predictive analytics going back to 1689 with Lloyds of London, insurance company. Predictive approaches, irrespective of the computing science and machine learning underpinnings, have been here for over 337 years. Blog #2 will define predictive analytics methods in more detail and in particular, I will explore the relevance and history of artificial intelligence.

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Blog #1: The History and Roots of Predictive Analytics

I am working on a new BOOK called The Predictive Generation, which will be written over the next 12 months with 4 blog entries per month written on Monday morning. Guess you know what I am doing every weekend. I will explore the following themes and look forward to the journey with my readers.

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What is the Top Leadership Behavior for Sales Professionals?

Einstein did a lot of things in his lifetime that we recognize as genius. Einstein’s incredible conviction to challenge leadership behaviors if they were not curious to experiment or innovate is what sales leaders need to accelerate competency development in. Continually being open to try new ways of working is Einstein like behavior. Einstein believed passionately that: Imagination is more important than knowledge.

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What would Einstein Say to Sales Leadership?

One might ask, what relevance does Einstein have to do with Sales Forecasting and Sales Pipeline Management?

Einstein did a lot of things in his lifetime that we recognize as genius. But what most people do not appreciate is his conviction and insatiable desire to challenge leadership behaviors that were not reflective of having an open and curious mind, being willing to constantly innovate and experiment to crystallize new ways of evolving.

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Digiday Media Finds Success using SalesChoice’s Predictive Analytics and calls it the New Sales GPS

Digiday is a leader in the media industry and has been rapidly growing year over year by 70%. Their unique sales cycle and expanding sales team posed many new challenges to them. Monitoring easily their sales pipeline in SalesForce on sales coverage, quality of deals, and sales forecasting was an ongoing challenge. One of the major issues Digiday was facing that in native SalesForce, the opportunity to pick any time dimension for forecasting was not easily accessible, so SalesChoice augmented the functionality that Digiday needed to meet their unique media industry needs.

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Salesforce ISV Partner – SalesChoice achieves over 90% Accuracy at RelationEdge

RelationEdge Overview
RelationEdge is a CA, HQ company with offices across the USA in: Atlanta, Chicago, Dallas, Denver, LA, NY, San Diego, Irving, San Francisco and Seattle. They specialize in implementing technology solutions that are simple to use, but provide powerful information that drives their clients’ business to higher performance levels. Their methodology is based on business process engineering and sales management, employing a process first, technology second approach to solve their clients business problems. Their passion for helping clients better market, sell, and service distinguish them from their competitors.

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Value of Analytics Soars Among Sales Teams

Our life is frittered away by detail … simplify, simplify.’ ~Henry David Thoreau

The Value of Analytics use soars among Top Sales Teams.

Where there’s analytics use, there’s likely a winning sales organization. High-performing sales teams are 3.5x more likely than underperforming teams to use sales analytics. Across teams at all levels, we’ll see a 58% increase in sales analytics use from 2015 to 2016. Smart selling, fueled by technologies like predictive analytics, starts piquing sales teams’ interest and is expected to jump 77% among high performers in the next 12–18 months (SalesForce Report, 2015).

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Are you spending too much time researching and not enough selling?

Sales cycles are long. Even after spending hours preparing the best proposals, you’re no closer to your quota. Don’t you wish you were spending less time researching your sales accounts and more time selling to them?

What if you could also avoid the worst deals — the ones that were doomed from the get-go? The amount of data sales organizations have to deal with has grown by 100x in recent years. Data is drowning sales professionals’ productivity. How do you get above the dark clouds?

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SalesChoice – The New Sales GPS

In today’s attention deficit deprived world, sales forecasting accuracy has increasingly become more complex and consequently higher error rates. According to Sirius Decisions, companies estimate on average that they spend 2.5 hours per week and managers 1.5 hours on forecasting. Yet, nearly 80% of sales organizations don’t forecast within 10% of where they eventually land. They often don’t anticipate missing targets or realize too late in the quarter to take action.

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