data accuracy and timeliness
TRANSCRIPT
Bite-Sized
Briefing:
Data Accuracy
and Timeliness
68,000 users across the globe
21 partners worldwide
14 million tCO2 monitored
Today’s topics
Too much data?
Common functionality wins
Accurate data, not workload
Be sure of your data
Three big ideas
“Another spreadsheet to fill in?
BRILLIANT.”
Nobody
Do you have too much data?
Everyone has heard the jokes about big data being done well
The adage of “just because you can, doesn’t mean you should” also applies to CSR data
Beware of data point fatigue
Mary has to collect monthly
energy data from 300 sites.
20% of sites use LPG.
16% of sites use Fuel Oil.
23% of sites use Green Electricity.
60% of sites use Gas.
Every month, Mary collects 1,500
consumption numbers.
843 of those numbers are zeroes.
Common functionality wins
Ask the right person the right question
Use trend and fluctuation parameters
Never let a data supplier validate their information
Karl, Andrea and Sammy all
submit environmental data.
Karl’s energy consumption hasn’t
changed for nearly 4 months.
Andrea’s numbers have spiked by 20%
this month, but are less than 1%
different to the same time last year.
Sammy has to approve his data and it
has never been incorrect.
Accurate data, not workload
Keep the data you collect aligned with your reporting requirements
Just because you’ve always asked for some data, doesn’t mean you should keep asking for it
Show the data in use, and it will become more usable
Danny enters his site’s GHG
figures annually.
He completes five questions on scope 3,
though nobody reports on them.
He enters 2 values for VOC emissions, but
he doesn’t know if they are right.
He knows the scope 2 data is correct
because it appears in his GHG dashboard.
Be sure of your data
Actively engage you data suppliers and validators
Make sure that data moves in both directions
Before you make decisions with your data, ask questions of your data
Molly manages the company
CSR data submissions.
She makes sure that regional managers
have objectives based on CSR data.
She provides a monthly dashboard
report to the regions showing their
progress against targets.
She makes sure that the data is audited
before it goes into the annual report.
Three big ideas
Ask the right questions, not lots of questions
Make sure you’re using data workflows to make your life easier
Never ask a data supplier to approve their own data
Any questions?
(no math questions please)
