Date post: | 13-Apr-2017 |
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Data & Analytics |
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Predictive Data and Analytics For Real Commercial Impact
Vicky Brock, Tech Innovator of the Year & CEO, Clear Returns @brockvicky www.clearreturns.com
Trends, challenges, getting internal traction & a case study on reducing retail returns
[email protected] @brockvicky www.clearreturns.com
Consistently efficient analytics
I measure what matters
I analyse less and act more
I’ve refined my “so what” filters
I trust gut instinct I can’t explain over data that’s too good to be true
I am probably not as smart as you - but:
[email protected] @brockvicky www.clearreturns.com
“give us your datas” Especially
the big ones
The new hot zone!
[email protected] @brockvicky www.clearreturns.com
Variety? Volume? Veracity? Velocity?
Big data = big pants
[email protected] @brockvicky www.clearreturns.com
Clean is best
Holes = bad
Controlling access is a good thing
It’s what you do with it that counts
messy
vast siloed
mind-blowingly
unknowably irreconcilably
[email protected] @brockvicky www.clearreturns.com
If you’re truly in a big data world
[email protected] @brockvicky www.clearreturns.com
If you’re truly in a big data world
Low on context & business question
led exploration
High on tech & architecture focus, pattern recognition
messy
political siloed
solvable
handle with care solvable
[email protected] @brockvicky www.clearreturns.com
If you’re in a “not technically big” data world
[email protected] @brockvicky www.clearreturns.com
Low on replicable, consistent analytics
process
Huge untapped opportunity for
commercial impact
If you’re in a “not technically big” data world
Building a culture of
So what???
[email protected] @brockvicky www.clearreturns.com
Challenge 1
Do you REALLY know why your organisation does what it does? Have you read – and understood – the annual report & accounts?
Analytics has no value
without action
[email protected] @brockvicky www.clearreturns.com
Challenge 2
Do more with less Break the cycle of analysis paralysis Start somewhere – perfection kills profit and is inefficient
What influences the people who influence you?
Create a data culture Commercial exposure
Understand compensation & KPIs of leadership Questioning, not warfare or procrastination Test , accept failure & mistake, iterate
[email protected] @brockvicky www.clearreturns.com
Challenge 3
Segmentation
Custom responses
Automation
Fraud
[email protected] @brockvicky www.clearreturns.com
Tackle missed opportunities
More £ for equal or less effort
Churn
Top level operational
visibility
Customer segmentation
Stuff that really matters
[email protected] @brockvicky www.clearreturns.com
The pay rise zone
Focus on the big insights
Some real life examples from Clear Returns
Top Tech Start-up in Europe
Big Data Venture Challenge & IBM Smartcamp Winner
Vicky Brock, Tech Innovator of the Year & CEO, Clear Returns @brockvicky www.clearreturns.com
Up to 60% returned
£221 billion preventable retail returns*
& returns are growing faster than sales
*Returns cost retailers £435billion globally, with £221billion deemed preventable. IHL Group, Retail Analysts, June 2015
Can’t be resold as new
Faulty?
It’s not a sale until the shopper decides to keep it
Clear Returns SaaS intelligence platform helps retailers retain £1million extra revenue per £10million refunded
Because once returns are factored in, not all customers are equally loyal or profitable & not all product covers its costs
Retain more
revenue
Cut costs and
wastage
Improve customer
experience & lifetime
spend
Improved buying
decisions & stock
coverage
Optimise profits
First time & high value customers are disproportionately affected by product/expectation gap issue
@clearreturns @brockvicky
[email protected] @brockvicky www.clearreturns.com
Problem products are extra costly
Early warning on problem products & returns sensitive customers is key
Prediction means problems fixed fast
@clearreturns | www.clearreturns.com | 0141 554 4175 | [email protected]
0141 554 4175 www.clearreturns.com
Vicky Brock, CEO 0141 554 4175 www.clearreturns.com
Thank you