In today\u2019s world, there is no shortage of data. So, you\u2019d think that building a sustainable IT infrastructure is easy. Think again!<\/p>\n

One of the biggest challenges[1]<\/a> the sustainability community \u2013 tec\u2026 Read more on Cisco Blogs<\/a><\/p>\n

\u200b<\/p>\n

In today\u2019s world, there is no shortage of data. So, you\u2019d think that building a sustainable IT infrastructure is easy. Think again!<\/p>\n

One of the biggest challenges[1]<\/a> the sustainability community \u2013 technical and non-technical \u2013 is facing is the lack of data standardization.[2]<\/a> Without standards, we cannot make meaningful data comparisons and we lack the ability to monitor, report, optimize, and consistently automate sustainability-related metrics. Simply put, without standardization, we are left comparing apples and oranges!<\/p>\n

As sustainability becomes increasingly important to organizations, the standardization problem becomes more urgent. Data must support decision-making, performance tracking, compliance, stakeholder engagement, and continuous improvement, enabling organizations to track their progress and contribute to a more sustainable future.<\/p>\n

<\/a><\/p>\n

Adding to the complexity, data sources involved in sustainability are diverse. For every deployment that we do, those of us in technical roles need visibility beyond our own technology. We need to include: Supplier data,[3]<\/a> Government data,[4]<\/a> Industry data,[5]<\/a> Third-party data.[6]<\/a><\/p>\n

While all that data allows organizations to identify inefficiencies, pinpoint opportunities for optimization, and identify patterns and trends, structure is required to turn them into meaningful Key Performance Indicators (KPIs). There is a need not only to determine which are the right data sources but also to define the specifics of the semantics and units of measurement. We need to know how to compare those data sources and build those metrics that will determine thresholds and alert us when conditions are non-desirable.<\/p>\n

You will ask me: Doesn\u2019t measurement without standards still provide some value at an individual organization level? Yes, but it becomes challenging to aggregate and compare data across organizations or sectors. It may also result in discrepancies and inconsistencies when reporting to stakeholders.<\/p>\n

How can we enable organizations to report against the same metrics? How can we help our customers decide which solution or vendor can support their own goals? How can we build trust with our customers and openly share what and how we are performing as part of their metrics?<\/p>\n

We must learn how to make our improvements stick with standardization.<\/strong><\/em><\/h3>\n

Standards and guidelines provide frameworks and methodologies aimed at consistent and accurate measurement and reporting. They support transparency and comparability among organizations. Some notable standards and guidelines in environmental sustainability include the Greenhouse Gas Protocol (GHGP),[7]<\/a> the Global Reporting Initiative (GRI),[8]<\/a> CDP (formerly Carbon Disclosure Project),[9]<\/a> LEED (Leadership in Energy and Environmental Design),[10]<\/a> Environmental Management Systems (EMS).[11]<\/a><\/p>\n

The lack of Standardization leads the industry to perform a conservative analysis, which in turn degrades the accuracy and consistency of the output, including for reporting purposes. Let me explain why. \u00a0The GHG Protocol<\/a> provides requirements and guidance for companies and other organizations to prepare and publicly report a GHG emissions inventory. Per these requirements, we estimate the emissions from the \u201cscope 3, category 11: use of sold products\u201d category based on the following formula.<\/p>\n

<\/a><\/p>\n

One of the key inputs above is the total product lifetime, which is currently between 5 and 10 years for most vendors\u2019 products in our market. But, when it comes to the electricity consumed<\/em> by those products \u2013 which is another key input \u2013 there is room for wide variability based on the level of optimizations done during deployment. Any small variance in how a company calculates energy usage and product lifespans can change the total reported value drastically, making tracking collective progress extremely challenging in the absence of a standard, agreed-upon approach.<\/p>\n

To conclude, data can be a powerful tool in the fight against climate change, but not if we continue to compare apples and oranges. We need to create industry-wide consensus on data standards \u2013 and allow room for their evolution \u2013 to report on our progress and protect our planet.<\/p>\n

Notes<\/strong><\/h4>\n

[1]<\/a> It should be noted that the lack of Primary Data (first-hand data gathered by the manufacturer) is adding to the challenge. While the industry is making progress in this domain, in legacy environments often the specifications of every single component are not known.<\/h5>\n

[2]<\/a> Standardization is the process by which specifications are set. In the ICT sector, specifications are primarily used to maximize interoperability \u2013 the ability for systems to work together.<\/h5>\n

[3]<\/a> Information related to circularity, and information provided by suppliers and partners regarding environmental performance.<\/h5>\n

[4]<\/a> Publicly available data from government agencies, references from emissions inventories, and environmental databases.<\/h5>\n

[5]<\/a> Specific to a particular industry, sector, or technical domain. These are often collected by research institutions, industry associations, and specialized companies.<\/h5>\n

[6]<\/a> Obtained from external sources. A clear example of a metric that needs third-party data is \u201ccarbon intensity\u201d. Carbon intensity is a measure of how clean our electricity is. Specifically, how many grams of carbon dioxide are released to produce a kilowatt hour of electricity. Fossil fuels are very carbon intensive, whereas renewable energy is low carbon. Carbon intensity has a strong dependency, on location, time of the day, season, and electricity sources.<\/h5>\n

[7]<\/a> Provides guidelines for measuring and reporting GHG emissions.<\/h5>\n

[8]<\/a> Framework for sustainability reporting, including environmental indicators and metrics.<\/h5>\n

[9]<\/a> Platform that collects and reports environmental data from organizations.<\/h5>\n

[10]<\/a> Certification system for sustainable building design and construction.<\/h5>\n

[11]<\/a> Standards such as ISO 14001 provide a framework for managing and improving environmental performance.<\/h5>\n

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\u00a0\u00a0Data can be a powerful tool in the fight against climate change, but not if we continue to compare apples and oranges! Learn how standardization can help monitor, report, optimize, and consistently automate sustainability-related metrics.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

<\/p>\n

In today\u2019s world, there is no shortage of data. So, you\u2019d think that building a sustainable IT infrastructure is easy. Think again!<\/p>\n

One of the biggest challenges[1]<\/a> the sustainability community \u2013 tec\u2026 Read more on Cisco Blogs<\/a><\/p>\n

\u200b<\/p>\n

In today\u2019s world, there is no shortage of data. So, you\u2019d think that building a sustainable IT infrastructure is easy. Think again!<\/p>\n

One of the biggest challenges[1]<\/a> the sustainability community \u2013 technical and non-technical \u2013 is facing is the lack of data standardization.[2]<\/a> Without standards, we cannot make meaningful data comparisons and we lack the ability to monitor, report, optimize, and consistently automate sustainability-related metrics. Simply put, without standardization, we are left comparing apples and oranges!<\/p>\n

As sustainability becomes increasingly important to organizations, the standardization problem becomes more urgent. Data must support decision-making, performance tracking, compliance, stakeholder engagement, and continuous improvement, enabling organizations to track their progress and contribute to a more sustainable future.<\/p>\n

<\/a><\/p>\n

Adding to the complexity, data sources involved in sustainability are diverse. For every deployment that we do, those of us in technical roles need visibility beyond our own technology. We need to include: Supplier data,[3]<\/a> Government data,[4]<\/a> Industry data,[5]<\/a> Third-party data.[6]<\/a><\/p>\n

While all that data allows organizations to identify inefficiencies, pinpoint opportunities for optimization, and identify patterns and trends, structure is required to turn them into meaningful Key Performance Indicators (KPIs). There is a need not only to determine which are the right data sources but also to define the specifics of the semantics and units of measurement. We need to know how to compare those data sources and build those metrics that will determine thresholds and alert us when conditions are non-desirable.<\/p>\n

You will ask me: Doesn\u2019t measurement without standards still provide some value at an individual organization level? Yes, but it becomes challenging to aggregate and compare data across organizations or sectors. It may also result in discrepancies and inconsistencies when reporting to stakeholders.<\/p>\n

How can we enable organizations to report against the same metrics? How can we help our customers decide which solution or vendor can support their own goals? How can we build trust with our customers and openly share what and how we are performing as part of their metrics?<\/p>\n

We must learn how to make our improvements stick with standardization.<\/strong><\/em><\/h3>\n

Standards and guidelines provide frameworks and methodologies aimed at consistent and accurate measurement and reporting. They support transparency and comparability among organizations. Some notable standards and guidelines in environmental sustainability include the Greenhouse Gas Protocol (GHGP),[7]<\/a> the Global Reporting Initiative (GRI),[8]<\/a> CDP (formerly Carbon Disclosure Project),[9]<\/a> LEED (Leadership in Energy and Environmental Design),[10]<\/a> Environmental Management Systems (EMS).[11]<\/a><\/p>\n

The lack of Standardization leads the industry to perform a conservative analysis, which in turn degrades the accuracy and consistency of the output, including for reporting purposes. Let me explain why. \u00a0The GHG Protocol<\/a> provides requirements and guidance for companies and other organizations to prepare and publicly report a GHG emissions inventory. Per these requirements, we estimate the emissions from the \u201cscope 3, category 11: use of sold products\u201d category based on the following formula.<\/p>\n

<\/a><\/p>\n

One of the key inputs above is the total product lifetime, which is currently between 5 and 10 years for most vendors\u2019 products in our market. But, when it comes to the electricity consumed<\/em> by those products \u2013 which is another key input \u2013 there is room for wide variability based on the level of optimizations done during deployment. Any small variance in how a company calculates energy usage and product lifespans can change the total reported value drastically, making tracking collective progress extremely challenging in the absence of a standard, agreed-upon approach.<\/p>\n

To conclude, data can be a powerful tool in the fight against climate change, but not if we continue to compare apples and oranges. We need to create industry-wide consensus on data standards \u2013 and allow room for their evolution \u2013 to report on our progress and protect our planet.<\/p>\n

Notes<\/strong><\/h4>\n

[1]<\/a> It should be noted that the lack of Primary Data (first-hand data gathered by the manufacturer) is adding to the challenge. While the industry is making progress in this domain, in legacy environments often the specifications of every single component are not known.<\/h5>\n

[2]<\/a> Standardization is the process by which specifications are set. In the ICT sector, specifications are primarily used to maximize interoperability \u2013 the ability for systems to work together.<\/h5>\n

[3]<\/a> Information related to circularity, and information provided by suppliers and partners regarding environmental performance.<\/h5>\n

[4]<\/a> Publicly available data from government agencies, references from emissions inventories, and environmental databases.<\/h5>\n

[5]<\/a> Specific to a particular industry, sector, or technical domain. These are often collected by research institutions, industry associations, and specialized companies.<\/h5>\n

[6]<\/a> Obtained from external sources. A clear example of a metric that needs third-party data is \u201ccarbon intensity\u201d. Carbon intensity is a measure of how clean our electricity is. Specifically, how many grams of carbon dioxide are released to produce a kilowatt hour of electricity. Fossil fuels are very carbon intensive, whereas renewable energy is low carbon. Carbon intensity has a strong dependency, on location, time of the day, season, and electricity sources.<\/h5>\n

[7]<\/a> Provides guidelines for measuring and reporting GHG emissions.<\/h5>\n

[8]<\/a> Framework for sustainability reporting, including environmental indicators and metrics.<\/h5>\n

[9]<\/a> Platform that collects and reports environmental data from organizations.<\/h5>\n

[10]<\/a> Certification system for sustainable building design and construction.<\/h5>\n

[11]<\/a> Standards such as ISO 14001 provide a framework for managing and improving environmental performance.<\/h5>\n

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\u00a0\u00a0Data can be a powerful tool in the fight against climate change, but not if we continue to compare apples and oranges! Learn how standardization can help monitor, report, optimize, and consistently automate sustainability-related metrics.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>\n

<\/p>\n","protected":false},"author":0,"featured_media":1416,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-1415","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cisco-learning"],"yoast_head":"\n