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UoB Lecture v1 2015_02_10jj

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UoB Lecture v1 2015_02_10jj

  1. 1. 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.
  2. 2. CSR Data Learning how to catch fish with your bare hands.
  3. 3. “If you can’t measure it, you can’t manage it.” Jonathan Porritt
  4. 4. “If you can’t measure it, you can’t manage it.” Prince Charles
  5. 5. “If you can’t measure it, you can’t manage it.” Elvis
  6. 6. Boo.
  7. 7. CSR Data should be about more than just management, it should about enabling real change.
  8. 8. What does CSR Data Look Like?
  9. 9. 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
  10. 10. What do you consider CSR data?
  11. 11. What do you consider CSR data? With so many organisations wanting to report on CSR, drawing boundaries is becoming increasingly complex .
  12. 12. 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
  13. 13. 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.
  14. 14. Let’s start with the obvious Planet People Profit
  15. 15. Let’s start with the obvious
  16. 16. Let’s start with the obvious Profit
  17. 17. Let’s start with the obvious Planet Profit
  18. 18. Let’s start with the obvious Planet People Profit
  19. 19. So is that everything?
  20. 20. So is that everything? Supply Chain.
  21. 21. So is that everything? Supply Chain. Supply Chain.
  22. 22. So is that everything? Supply Chain. Supply Chain. Supply Chain!
  23. 23. How can you collect and manage CSR data?
  24. 24. Build a clear picture of where you are going.
  25. 25. Build a clear picture of where you are going. With so many KPIs to choose from, choose the ones that work for you.
  26. 26. 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.
  27. 27. 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.
  28. 28. What does Materiality look like? DATA AVAILABILITY STAKEHOLDERVALUE
  29. 29. Align your CSR strategy with your data
  30. 30. Align your CSR strategy with your data Make sure you know what CSR data already exists.
  31. 31. 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.
  32. 32. 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.
  33. 33. Your CSR data exists everywhere
  34. 34. Your CSR data exists everywhere Absorb data from all available sources.
  35. 35. Your CSR data exists everywhere Absorb data from all available sources. Ask for the data they have, not the data you want.
  36. 36. 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.
  37. 37. What does a data map look like?
  38. 38. Remember to stay on target
  39. 39. Remember to stay on target Defining your CSR data looks complicated because of its breadth.
  40. 40. 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.
  41. 41. 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
  42. 42. Technology is your friend
  43. 43. Technology is your friend Find the best match for your needs
  44. 44. Technology is your friend Find the best match for your needs Don’t get distracted by peripheral functionality
  45. 45. 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.
  46. 46. Understanding your requirements
  47. 47. What options are there?
  48. 48. How can CSR data be analysed?
  49. 49. Understand your audience
  50. 50. Understand your audience Know who you’re going to be talking to
  51. 51. Understand your audience Know who you’re going to be talking to Establish clear and consistent methods or data analysis
  52. 52. 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
  53. 53. Normalization isn’t boring .
  54. 54. Normalization isn’t boring Make your data usable to as many people as possible.
  55. 55. Normalization isn’t boring Make your data usable to as many people as possible. Create metrics that your audience can relate to.
  56. 56. 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.
  57. 57. Normalise me! Energy Waste Diesel Paper Volunteering Risk Audits Accidents Donations
  58. 58. Normalise me! PersonEnergy Waste Diesel Paper Volunteering Risk Audits Accidents Donations
  59. 59. Normalise me! Person Production Units Energy Waste Diesel Paper Volunteering Risk Audits Accidents Donations
  60. 60. Normalise me! Person Production Units Km travelled Energy Waste Diesel Paper Volunteering Risk Audits Accidents Donations
  61. 61. Normalise me! Person Production Units Km travelled Sourced responsibly Energy Waste Diesel Paper Volunteering Risk Audits Accidents Donations
  62. 62. Normalise me! Person Production Units Km travelled Sourced responsibly Hours worked Energy Waste Diesel Paper Volunteering Risk Audits Accidents Donations
  63. 63. Normalise me! Person Production Units Km travelled Sourced responsibly Hours worked Number of suppliers Energy Waste Diesel Paper Volunteering Risk Audits Accidents Donations
  64. 64. 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
  65. 65. 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
  66. 66. The power of Frameworks
  67. 67. The power of Frameworks External consistency and comparability
  68. 68. The power of Frameworks External consistency and comparability Organic expansion of boundaries
  69. 69. The power of Frameworks External consistency and comparability Organic expansion of boundaries Assured methodology and quality
  70. 70. The value of granular targets
  71. 71. The value of granular targets Engage data suppliers
  72. 72. The value of granular targets Engage data suppliers Creates ‘first line’ data management
  73. 73. The value of granular targets Engage data suppliers Creates ‘first line’ data management Increases data accuracy
  74. 74. How reliable is CSR data, and does that reliability affect you?
  75. 75. Coping with inconsistency
  76. 76. Coping with inconsistency Make data simple
  77. 77. Coping with inconsistency Make data simple Show data in use
  78. 78. Coping with inconsistency Make data simple Show data in use Don’t ask if you don’t need it
  79. 79. Data Consistency
  80. 80. Trend analysis
  81. 81. Baselines
  82. 82. Data Ownership No amount of data checking will catch everything.
  83. 83. Why does SustainIt exist?
  84. 84. What do we do?
  85. 85. Established Expertise
  86. 86. Any Questions? Joe Jones Principal Sustainability Consultant j.jones@sustaintsolutions.com @joeajones

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