Data Science Readiness Webinar
In the world of CRM Data – How Ready are you?
Would you like to evaluate your level of data science readiness to drive top line growth and reduce customer churn?
This webinar is designed for C-level decision makers who are responsible for CRM practices and are living the realities of data overload and demands for finding your hidden gems with actionable insights.
This webinar will provide you with proven steps to implement the data science strategy and the specific use cases to be discussed are:
- Pipeline coverage optimization practices
- Forecasting accuracy
- Micro-segmentation for marketing innovation
- Usage of Sales Bot for 7×24 sales coaching
- Customer service churn avoidance
Dr. Cindy Gordon, Founder and CEO introduces SalesChoice Inc., and sets the stage for the webinar. Followed by Rich Benci, Co-Founder and President of Provide Insight LLC., a strategic alliance of SalesChoice Inc. Rich introduces then Data Sciences Readiness Framework, and reviews a case study that leverages Data Sciences.
Dr. Cindy Gordon shares some highlights from our global research and provides insights into what separates Data Science Readiness leaders from laggards i.e.:
- Investment in Data Science Leadership,
- Clear needs, goals and process,
- Enabling technology and Solution Infrastructure relevant to the pain points, and
- Have the relevant skills and know how to use data sciences effectively (Build or BUY).
Dr. Cindy Gordon reviews a short case study of RelationEdge, a SalesForce Certified SI Partner, with coast to coast coverage in the USA, primarily helping companies design and successful Salesforce deployments. Cindy also illustrates proven best practices to rapidly bring client value to diverse industry sectors. In addition, the services provided by SalesChoice and Provide Insight are highlighted.
Dr. Cindy Gordon and Rich Benci discuss key audience questions at the end of the webinar.
Webinar was hosted by Dr. Cindy Gordon, Founder and CEO of SalesChoice Inc. and Rich Benci, Co-Founder and President of Provide Insight LLC.
State of Data Sciences: Predictive Analytics in Sales
This research was undertaken by Dr. Cindy Gordon, CEO and Founder, SalesChoice Inc., a leading SaaS Predictive and Prescriptive Sales and Marketing Analytics company, with research leadership from Dr. Anthony Wensley, Professor, The University of Toronto – Rotman School of Management. The research has been further sponsored by IT World Canada, The Canadian Channel Chiefs Council, Obero SPM and the Computer Dealer Network.
To get a copy of the report, please click here.
Dr. Anthony Wensley
The Predictive Pipeline: How to Drive Smarter Sales
Did you know that high performing sales teams are 3.5x more likely to be currently using sales analytics?
The amount of data available to sales organizations has grown exponentially in recent years. Amid the data explosion, however, companies have struggled to make sense of it all.
Join us for an exclusive webinar featuring SalesChoice and Macadamian Technologies to understand how they use predictive sales analytics to make data-driven decisions that accelerate their revenue growth and win rates.
Learn how sales analytics will help you:
* Identify which deals are most likely to convert
* Gain complete visibility across your pipeline
* Drive smarter sales insights and faster decisions
* Share real-time dashboards with your entire sales team
See why 74% of sales leaders are using or will be using sales analytics in the next 18 months.
Julien Sauvage, Director of Product Marketing, Sales Wave Analytics at SalesForce introduces how leading innovators like SalesChoice have joined the Analytics Cloud ecosystem to extend the use cases and bring their Predictive technology to the mix.
Dr. Cindy Gordon, Founder and CEO Introduces SalesChoice, and how we help companies prioritize, predict and pace their sales operations by creating a seamless experience using either our predictive engine with a lite BI experience and or by integrating with comprehensive BI platforms like SalesForce Wave.
Dinesh Kandanchatha, Managing Director, Macadamian Technologies Shares his customer xperience of how SalesChoice Insight Engine introduced empirical evidence (accurate predictions at 85%) to help prioritise and provide insights on current sales opportunities against historical opportunity profiling
Julien Sauvage demonstrates the comprehensive sales analytics- BI experience in the first-ever SalesChoice-Wave Integrated product demo.
Dr. Cindy Gordon, Dinesh Kandanchatha and Julien Sauvage take audience questions at the end of the webinar, to talk about the future of SalesChoice and Wave Integration.
The Machine: Interview with Justin Roff-Marsh
Dr. Cindy Gordon interviews Justin Roff-Marsh on his latest book entitled “The Machine” in which he challenges sales executives to re-evaluate their sales processes and selling approaches.
The Chief Channel Officer: Takes on the Omni Channel Data Science Officer Role
Dr.Cindy Gordon defines the significance of Big Data: Predictive and Prescriptive Analytics and explores why the Science of Selling using advanced data sciences such as artificial intelligence, text mining and machine learning can give Chief Channel Officers insights on what channels are doing, what is surging in real time on channel interests they are servicing, or what customer trends are emerging that can create lead capacity for reseller channels.
She evaluates the impact on making sales a science, with a brief of a leading research conducted by SalesChoice on the Changing role of the Chief Channel Officer and increasing needs for know-how in Data Sciences to advance channel coverage strategies.
Cindy discusses the rise of Big Data, Predictive and Prescriptive Analytics and how they are the new must have competency on a CCO’s roster.
This webinar explores the evolving role of the Chief Channel Officer (and by extension, Chief Revenue Officers) and their use of Data Sciences to better manage Channel Sales.
Bernie, VP of Global Marketing, SalesChoice interviews Dr. Cindy Gordon, about the following topics:
- What are some of the benefits in using Analytics, in particular predictive?
- 4 Types of Analytics capabilities
- What are some of the key enablers of Predictive Analytics?
- What is the Opportunity for a Chief Channel Officer?
- How do I secure a Data Sciences baseline against leading practices?
- Use Case- Macadamia Technologies
Dr. Cindy Gordon answers questions from the audience at the end of the webinar.
How Predictive Analytics Gives Professional Services a Competitive Edge
Dr. Cindy Gordon interviews Macadamian Technologies Managing Director Dinesh Kandanchatha on the challenges of the Professional Services marketplace and how predictive analytics has become an integral part of Macadamian’s approach to assessing business opportunities, managing sales costs and increasing profitable revenue.
The full 30-Minute video covers current marketplace challenges and predictive analytics trends plus Dinesh handling questions from Cindy and the audience. Parts Two and Three break out the questions as separate video subsets.
Full Webinar covering the challenges facing Chief Revenue Officers in Professional Services and Macadamian’s experience and learnings with the SalesChoice solution.
Interview topics include: the Macadamian sales challenge and the problem they were looking to solve, how Saleschoice fits into their sales process, lessons learned and more.
Audience Questions include: what cost savings were achieved, skills required to use Predictive Analytics, skepticism around machine learning, required fields in SalesForce.
Making Sense of Predictive Analytics
Learn how predictive analytics is shaping the future of sales. See how companies achieve breakthrough results using predictive analytics. Gain increased confidence in how these advanced sales tools can help you increase your conversion odds to win more.
Why Chief Revenue Officers will value Chief Data Scientists
– Data Sciences Growth Trends
– Shifting Role of CRO’s and Data Value to Upsell and Cross Sell,
– Old World vs New world approaches
– Skills needed for Chief Data Officers, what works, what does not