What does the Post COVID-19 Landscape in business look like?

How will the Post COVID-19 pandemic landscape in business be changed? Are we headed to a future like the Jetsons or one like Mad Max? Companies who once feared remote workers are waking up to the benefits of this work/life balance. Others are in panic mode because “we’ve always done it this way” no longer applies.

As a Data Science company, we are always looking ahead. One thing we get asked about is what should business be doing now to prepare for the world in the new normal. At our first in-person lunch meeting Post COVID-19 pandemic, we came to the conclusion the two book-ends are: Jetsons or Mad Max.”

Here are some of our thoughts:

The Post COVID-19 Business Landscape

We believe the major change is how customers now interact with companies. We have, because of the pandemic shown that companies can actually do just fine working from home, can deliver good like groceries, food, and even luxury items without the in-person experience, and that companies can do a better job using technology to deliver what the customer wants, when the customer wants it.

This is pandora’s box. We can’t go back. Because we had to do this to survive, now we have to continue to do it as part of our business model. However, what most companies built in haste, isn’t scalable. It is now time to rethink how we use the data we have (and the data we can get) to build a scalable solution that gives us insight into what customers want, and gives the customers what they desire–better access.

Interestingly enough, when going back through our past project history, we realize we have been building solutions for just this problem for years. Take for example the persona model we built for Omaha Public Power District (OPPD). It is a great example of how to use data for greater impact.

For OPPD, one of the few publically owned utilities in the entire country, our predictive model allowed them to understand which product or service each household had the highest chance to purchase, and then give that insight to their sales and marketing teams. This meant that:

  1. Their customer service agents now had access to which products to recommend when they called in.
  2. Their sales team knew which households were most likely to want each product, and
  3. Their marketing team knew which product to market to each household.

Predictive modeling like this allows companies to “hit” more than “miss”. If your able to be more effective, even by a small margin, you may edge out your competitor. Tell that to Jacob Kiplimo who was on pace to set the world record for a 43:00 15km run. Kiplimo raised his arms to celebrate before crossing the finish line. It was then that Kibiwott Kandie passed him and finished in 42:59 and was the first to break the record instead.

Understanding how to start with data-driven decisions can be tough. Lucky for you, there is a company that can help you get this kind of insight, and teach you how to do it. Contact Us today and we’ll be happy to help ensure you hit the ground running post-COVID.

Insurance Client Stories-Contemporary Analysis

CAN has been fortunate to help a number of Life and Health Insurance companies work smart.  It has been a great relationship because clients from Life and Health Insurance companies understand what we do as they are experts in using mathematics to forecast human behavior on a biological side, and CAN is an expert in applying predictive analytics to forecast human behavior on a marketing and sales side.  Our customers invest in developing new products, and we use math to make sure they can distribute them most effectively.  The following are some of the solutions we have developed:
Marketing ROI with Terrain: Our clients wanted to know the ROI of their marketing campaigns, but had been struggling to develop a system that was able to determine the impact that their marketing was having on sales.  We agreed that it would be too difficult to explain the impact that a company’s marketing was having and instead we used CAN’s Terrain system to explain the impact that the economy and seasonal fluctuations had on sales.  With every predictive model their is a residual x-factor that can not be explained in detail.  So instead of including the economy, a major driver of purchasing decisions, in the X-factor, we included the company’s marketing in the X-factor.  While they did not exactly accomplish their goal of measuring the ROI of their marketing activity, we were able to explain how economics and seasonality impacted sales and the residual could be attributed to marketing, competitors and other factors.  Now our clients can get a reasonable idea if marketing is impacting sales.
 
Client Management: Using Pulse, CAN helped our clients understand and improve their client portfolio by modeling the factors of client profitability, loyalty and claim activity.  Each week we provide our client with a list of the clients that are at risk of leaving within the next 90 days, and a list of sales leads that have a high probability of being profitable and loyal clients.  Each month we provide them with a report on their client portfolio relative to the population and their goals.

Sales Management: Using Beacon, CAN has worked to connect agents and brokerages to our clients home offices.  Beacon has been used to focus the development of leads and marketing materials to best serve the needs of agents and brokerages.  Beacon also has been used to improve communications with training, regulations and promotions between home offices and agents by segmenting agents by learning styles and providing communication guidelines to our clients.

Featured Posts – Click the Brain
Archives
CAN Jewels