Sustainability Data Management
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Case Study
Sustainability / Corporate Social
Responsibility (CSR), also known as corporate responsibility,
corporate citizenship, responsible business, sustainable
responsible business (SRB), or corporate social performance is on
the increase among our clients. This brings with it a need to
manage and report on still more data and often to report it
regionally, by business unit and corporately. Our MP-5 data management system helps
our clients manage their sustainability processes.
Each company clearly has to define
their own approach and priorities. Key within this is the need to
develop indicators which then become measurable indicators of
performance in areas such as economic, social and environmental
performance. These are referred to as key performance Indicators
(KPI's). Our systems have the flexibility to tie into this process.
Raw data from accorss the business can be automatically imports and
KPI's produced from user defined calculations.

There are various guidelines as to
how KPI's should be developed but among the most widely recognised
are those produced by the Global Reporting Initiative (GRI) (www.globalreporting.org). Some of these are
qualitative whereas others are based on clear data generated within
the business. Examples in the latter category (taken from the GRI
G3 guidelines) include:
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Economic
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Social
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Environment
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- Revenues
- Operating costs
- Employee compensation
- Charitable donations
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- Human rights (% of screen suppliers)
- Employees trained on human rights
- Number of incidents of discrimination
- Incidents of use of child / forced labour
- Number of incidents of violations of rights of inidgenous
people
- Workforce by emplyment type, region, age group, gender,
ethnicity
- Occupational health (injuries / fatalities, training)
- Employee training
- Customer satisfaction / complaints
- Regulatory non-compliance and fines
- Corruption and fines
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- Raw material used / recycled
- Energy used / saved
- Renewable energy
- Water use and origin
- Water recycled / reused
- Land and biodiversity
- Habitats protected / restored
- Greenhouse gas (GHG) emissions
- Emissions of ozone depleters
- NOx, SOx and other air emissions
- Water discharge
- Waste produced / disposed
- Accidental spills
- Packaging waste
- Permit compliance breaches
- Transport of goods
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In many cases the indicators
developed by companies reflect ratios between impact and
productivity and so for GHG reporting a company may produce a Key
Performance Indicator of tonnes CO2 per tonne of
product. This may of course be reported as an annual sum at
corporate, regional, business unit or sit level.
Whatever the data reported the task
of data collection, production of KPI's, and comparison to targets
and reporting usually a difficult task. This is where our MP-5 data management system can help.
In medium sized companies we
typically find that data for CSR is often generated at local sites
in Excel workbooks or within MP-5 installs at local sites. In the
former case these can be easily imported into MP-5 and this raw
data is then used to calculate KPI's using MP-5's calculation engine and user
defined calculations. In the latter case this data can be
automatically exported from local sites and imported by a corporate
system via LAN/WAN or FTP and used to produce corporate KPI's. Many
local systems would usually provide data for the corporate database
and so the corporate systems can produce KPIs from right across the
business. Using the MP-5 scheduling and e-mail
notification systems, warnings can be sent if data is late or
incorrect, or if particular KPI's are being breached.
The table below shows an example of
how sustainability data can be managed in local and corporate
systems.
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Local system
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Corporate system
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Data entered on energy use as diesel (litres/gallons), biofuel
(litres/gallons), gasoline (litres/ gallons), gas (m3),
electricity (KWh).
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Data from each site converted to KWh and CO2 using
methods defined by user normally based on national standards. These
are aggregated in the system to show totals at site, business unit,
geographical and corporate totals.
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Data entered on environmental incidents, spills, regulatory
breeches, notices served by regulators, local complaints.
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Imported and aggregated in the system to show totals at site,
business unit, geographical and corporate totals.
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Accidents and near misses added into the system.
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Imported and aggregated in the system to show totals at site,
business unit, geographical and corporate totals.
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Charitable donations.
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Imported and aggregated in the system to show totals at site,
business unit, geographical and corporate totals.
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HR data -training undertaken, warnings issued, ethnicity /
sexual orientation / disabilities of employees.
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Imported and aggregated in the
system to show totals at site, business unit, geographical and
corporate totals.
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Normalisation factors and business metrics such as revenue,
tonnes product produced, number of employees, hours worked.
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All above data normalised to be expressed as tonnes
CO2 per tonne product, $ donated to charity per $
revenue, near misses per hour worked. All of this data again shown
at local and aggregated levels.
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