E75 - Jason Tan - Automate and Optimise with a Competitor Pricing Engine
27 Minuten
Podcast
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Beschreibung
vor 4 Jahren
What would you do if someone told you that you had lost hundreds
or thousands or millions of dollars in your business? What if
someone told you that there’s a high chance you’re losing out
right this minute…?
That someone is the data-driven pricing strategy. Answer me this.
Are you really selling your products or services at the best
price you could be, or are you losing the money you could have
had with every single sale?
This week, we bring you another special episode from The
Analytics Show Podcast, the third solo episode from your host,
Jason Tan.
This episode is all about Jason sharing his expertise and
knowledge of embedding and automating data and analytics so that
you can dynamically optimise your revenue by going beyond
dashboards.
Jason has been working on understanding how modern
high-performing organisations and other data-driven companies
from around the world are using data science to ensure they’re
not losing out on potential profit. He has also been
experimenting with new techniques and strategies in his own
businesses and for his clients.
Jason has worked on developing and streamlining the complete
process of embedding and automating business analytics for your
company.
In this special episode, Jason will be sharing:
What a data-driven pricing strategy looks like
How to embed analytics directly into your business frontline
Verified use cases from the insurance and e-commerce field
The world-class revenue optimisation engine used by insurers
and leading retailers
A 5 modules implementation process and every single step on
creating an end-to-end solution that you can take back and start
implementing at your organisation
Why this will boost your revenue without significant large
sums of investment necessary
If you don’t want to be one in thousands of the senior managers
of large corporations underpricing and underselling, this is the
episode you shouldn’t miss.
#BusinessAnalytics #DataDrivenPricing #DynamicPricing
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