3. Who are SustainIt?
SustainIt are a sustainability DATA
consultancy.
We understand sustainability data and the
challenge it creates.
We know how to turn spreadsheets full of
data into useful and exciting reports.
We know how to help select, implement
and support the right sustainability system
for you.

4. CSR Data
Learning how to catch fish
with your bare hands.

5. “If you can’t measure it,
you can’t manage it.”
Jonathan Porritt

6. “If you can’t measure it,
you can’t manage it.”
Prince Charles

7. “If you can’t measure it,
you can’t manage it.”
Elvis

8. Boo.

9. CSR Data should be
about more than just
management, it should
about enabling real
change.

10. What does CSR Data
Look Like?

11. Energy
Waste
Water
VOCHaz
Gas
Fleet
Cars Planes
H&S
Charity
Donati
ons
Volunt
eering
Unions
Race
Hiring
practis
es
Anti
Bribery
Supply
Chain
Social
Impact

12. What do you consider CSR data?

13. What do you consider CSR data?
With so many organisations wanting to report on CSR, drawing
boundaries is becoming increasingly complex
.

14. What do you consider CSR data?
With so many organisations wanting to report on CSR, drawing
boundaries is becoming increasingly complex
External frameworks and stakeholders demand increasingly complex
data submissions

15. What do you consider CSR data?
With so many organisations wanting to report on CSR, drawing
boundaries is becoming increasingly complex
External frameworks and stakeholders demand increasingly complex
data submissions
The tail can very much wag the dog.

16. Let’s start with the obvious
Planet People
Profit

17. Let’s start with the obvious

18. Let’s start with the obvious
Profit

19. Let’s start with the obvious
Planet
Profit

20. Let’s start with the obvious
Planet People
Profit

21. So is that everything?

22. So is that everything?
Supply Chain.

23. So is that everything?
Supply Chain.
Supply Chain.

24. So is that everything?
Supply Chain.
Supply Chain.
Supply Chain!

25. How can you collect
and manage CSR data?

26. Build a clear picture of where you
are going.

27. Build a clear picture of where you
are going.
With so many KPIs to choose from, choose the ones that work for you.

28. Build a clear picture of where you
are going.
With so many KPIs to choose from, choose the ones that work for you.
Be clear about the external reports and standards you want to fulfil.

29. Build a clear picture of where you
are going.
With so many KPIs to choose from, choose the ones that work for you.
Be clear about the external reports and standards you want to fulfil.
Consider where else you would like to use your CSR data.

30. What does Materiality look like?
DATA AVAILABILITY
STAKEHOLDERVALUE

31. Align your CSR strategy with
your data

32. Align your CSR strategy with
your data
Make sure you know what CSR data already exists.

33. Align your CSR strategy with
your data
Make sure you know what CSR data already exists.
Find your CSR heroes and help them tell their stories.

34. Align your CSR strategy with
your data
Make sure you know what CSR data already exists.
Find your CSR heroes and help them tell their stories.
Understand your CSR landscape, and what exists within it.

35. Your CSR data exists everywhere

36. Your CSR data exists everywhere
Absorb data from all available sources.

37. Your CSR data exists everywhere
Absorb data from all available sources.
Ask for the data they have, not the data you want.

38. Your CSR data exists everywhere
Absorb data from all available sources.
Ask for the data they have, not the data you want.
Never be afraid of complicated questions.

39. What does a data map look like?

40. Remember to stay on target

41. Remember to stay on target
Defining your CSR data looks complicated because of its breadth.

42. Remember to stay on target
Defining your CSR data looks complicated because of its breadth.
Remember your objectives, and keep the data aligned to them.

43. Remember to stay on target
Defining your CSR data looks complicated because of its breadth.
Remember your objectives, and keep the data aligned to them.
View CSR as a collaborative engagement process

44. Technology is your friend

45. Technology is your friend
Find the best match for your needs

46. Technology is your friend
Find the best match for your needs
Don’t get distracted by peripheral functionality

47. Technology is your friend
Find the best match for your needs
Don’t get distracted by peripheral functionality
If excel is the best option, or the only option – you can still do a lot.

48. Understanding your requirements

49. What options are there?

50. How can CSR data be
analysed?

51. Understand your audience

52. Understand your audience
Know who you’re going to be talking to

53. Understand your audience
Know who you’re going to be talking to
Establish clear and consistent methods or data analysis

54. Understand your audience
Know who you’re going to be talking to
Establish clear and consistent methods or data analysis
Make sure the data is usable

55. Normalization isn’t boring
.

56. Normalization isn’t boring
Make your data usable to as many people as possible.

57. Normalization isn’t boring
Make your data usable to as many people as possible.
Create metrics that your audience can relate to.

58. Normalization isn’t boring
Make your data usable to as many people as possible.
Create metrics that your audience can relate to.
Remember not everyone will care about CO2e, let alone scope 3.

59. Normalise me!
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

60. Normalise me!
PersonEnergy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

61. Normalise me!
Person
Production Units
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

62. Normalise me!
Person
Production Units
Km travelled
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

63. Normalise me!
Person
Production Units
Km travelled
Sourced responsibly
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

64. Normalise me!
Person
Production Units
Km travelled
Sourced responsibly
Hours worked
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

65. Normalise me!
Person
Production Units
Km travelled
Sourced responsibly
Hours worked
Number of suppliers
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

66. Normalise me!
Person
Production Units
Km travelled
Sourced responsibly
Hours worked
Number of suppliers
200,000 man hours
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

67. Normalise me!
Person
Production Units
Km travelled
Sourced responsibly
Hours worked
Number of suppliers
200,000 man hours
Overall turnover
Energy
Waste
Diesel
Paper
Volunteering
Risk Audits
Accidents
Donations

68. The power of Frameworks

69. The power of Frameworks
External consistency and comparability

70. The power of Frameworks
External consistency and comparability
Organic expansion of boundaries

71. The power of Frameworks
External consistency and comparability
Organic expansion of boundaries
Assured methodology and quality

72. The value of granular targets

73. The value of granular targets
Engage data suppliers

74. The value of granular targets
Engage data suppliers
Creates ‘first line’ data management

75. The value of granular targets
Engage data suppliers
Creates ‘first line’ data management
Increases data accuracy

76. How reliable is CSR
data, and does that
reliability affect you?

77. Coping with inconsistency

78. Coping with inconsistency
Make data simple

79. Coping with inconsistency
Make data simple
Show data in use

80. Coping with inconsistency
Make data simple
Show data in use
Don’t ask if you don’t need it

81. Data Consistency

82. Trend analysis

83. Baselines

84. Data Ownership
No amount of data checking will catch everything.

85. Why does SustainIt
exist?

86. What do we do?

87. Established Expertise

88. Any Questions?
Joe Jones
Principal Sustainability Consultant
j.jones@sustaintsolutions.com
@joeajones