5 Keys to Navigating ESG

With sustainability practitioners strained to deploy limited resources internally to navigate the myriad of standards and frameworks to meet the growing appetite for environmental, social, and governance (ESG) information, we continue to ask, “Isn’t there an easier way to do this?” Navigating ESG Anyone who has worked to align standards and frameworks, corral internal champions around disclosure requirements, and marry quantitative performance data with narratives on management approach, knows that this is no easy feat.

The uphill battle to integrate data and other systems is often complicated by trying to pull others along in the organization—regardless of where their hearts lie.

So how is it that we can focus in on what’s relevant and minimize the reporting burden on others?

At the risk of seeming to oversimplify the process, I’ll attempt to breakdown some of the concepts mentioned here as a means for peering through the gray. The following five points have been central to my years of guiding organizations through this process. Navigating ESG

1: Navigating the myriad of standards and frameworks:

Not only are there the long-time warriors (the Global Reporting Initiative, CDP, and the Sustainability Accounting Standards Board now merged with the International Integrated Reporting Counsel labeled as the Value Reporting Foundation), there are also larger north star initiatives, like the United Nation’s Global Compact or Sustainable Development Goals, and even those that are industry specific, like the Global Real Estate Sustainability Benchmark. There are also the investor-driven ratings and rankings, supply chain initiatives, and mandates disclosure requirements that organizations must contend with. Not everyone is blessed with sustainability departments powered by specialists of all types. In fact, most are managed by 1-3 individuals who often juggle multiple roles until they can prove the importance of an integrated strategy and leverage additional support. In the end, standards alignment comes down to one person dropping all disclosure requirements into an excel spreadsheet to make sense of all that is needed. There is no harm in this. It is a recommended first step in trying to better understand the nuances between all that is asked and whether it is possible to pull data to meet various requirements. The goal eventually, of course, is to automate reporting against all applicable requirements. Usually companies start by developing a comprehensive list of all that they can disclose, either initially or in the future.  The key is not to exclude areas that the company is unable to immediately disclose on, but to press the “pause” button and keep those items in the horizon as areas that should be revisited in the future. Instead, stating where one is in the journey to retrieve information and manage inherent risks, while providing data for what is possible, is recommended. In that, clear “omissions” or “exclusions to the boundary” should be noted.

ESG | Qualitative vs Quantitative Data

2: Determining the qualitative vs. quantitative:

Be it labor standards, human rights, training and education, resource consumption or greenhouse gases, there are both qualitative and quantitative features to grasp and disclose an organizations’ impacts. Granularity is based on what the organization is trying to achieve by pursuing efforts in a certain area. Will the level of detail provide a sharper view of potential risks? Will the data enable decision-making? Will it demonstrate the level of transparency the organization is willing to provide to match disclosure among its peer group? Will it result in greater recognition or even, leadership status? By asking these questions, organizations can determine their priorities and narrow in on data tracking mechanisms to pull, house, and analyze detail. Keep in mind, however, taking inventory always presents surprises. Try not to go down a rabbit hole searching for data that doesn’t exist or isn’t relevant considering the larger footprint. Report on what is available and explain what is being accounted for, what is missing, and why. Navigating ESG

3: Pull others along:

Frameworks, data, and the endless requests for disclosure are enough to make anyone question their sanity—let alone the ongoing education that is needed to bring others along the path towards greater sustainability. Up until about five years ago, the role of the sustainability champion was often a lone wolf in the organization who felt committed to the charge. Boards were not involved, and it was because few companies saw sustainability as a strategic imperative. Today, it’s no longer effective to go at this alone. Markets have begun to regulate this space: the fear of shareholder resolutions, and the inability to access capital due to a lack of demonstrated ESG commitments, risk management, and performance disclosure has catapulted the need to activate players across functions. Regardless of standard, framework, or reporting platform, governance is critical to ensuring that sustainability sticks. It’s not enough to simply describe the organizational and leadership structure, but to describe how and where sustainability or ESG risk management sits within and what the role of the Board is. The sustainability coordinator, or Chief Sustainability Officer’s structure the group to facilitate action. Constant education and hand holding is necessary to inform the working group on the rapidly changing landscape and what is needed to maintain a license to operate from the stakeholder perspective. ESG Report

4: Minimize the reporting burden:

If it’s not clear by this point, all that matters when it comes to reporting is 1) performance data, 2) an explanation of management approach, and 3) a description of your processes undertaken to identify material matters and manage risks. Stories and imagery provide color but not an overview of what the organization is doing to manage impacts. Begin by structuring your website to highlight data. Embedd data from  GRI, the SDGs, and/or SASB indexes as companies such as Ball Corporation, BlackRock, and Coca-Cola. All have focused more efforts on tangible reduction and reuse, rather than creating beautiful communication pieces. This allows them to focus time and resources on doing the work that matters. ESG Data Collection

5: Data collection:

As the saying goes, “what doesn’t get measured doesn’t get managed.” Pulling data from the ESG pillars and across functions often means that the data collection process tends to take shape like a patch work quilt. Utilizing an integrated, configurable system that can extract and consolidate data into a single source of truth allows companies to focus on results, rather than begging for data from sources internal and external to their organization. Where possible, automate the data collection process, and provide decision-making analytics that can be transferred to various disclosure platforms to streamline the process and further minimize the reporting burden.


Hopefully, these points will help reassure you that you’re on the right path. The reality is, there is no easy way. Many of the front movers know this all too well. Their approach has taken years to solidify. In addition to the 5 points listed above, try to remember that it is important to just get started. Improvements can be made over time and lessons aren’t typically learned through perfection.


[sc_image width=”150″ height=”150″ src=”23979″ style=”11″ position=”centered” disable_lightbox=”1″ alt=”Nancy Mancilla, ISOS Group”]

About the Author—Nancy Mancilla, ISOS Group

Ms. Mancilla is the CEO and Co-Founder of ISOS Group, a full services sustainability consultancy firm also recognized for its leadership as a GRI and CDP Certified Training Partner in the U.S. Since establishing the company, Nancy has orchestrated 300+ Certified Trainings, co-taught MBA programs, regularly serves as a conference guest speaker and thought leader on the non-financial reporting process. In addition to educational services, ISOS Group provides organizations of all types with sustainability assessments, reporting guidance and external assurance.


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The Vapor Intrusion tools in Locus’ Environmental Information Management (EIM) software solve the problem of time-consuming monitoring, reporting, and mitigation by automating data assembly, calculations, and reporting.

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    Getting Started With ESG Is Less Daunting Than You Think

    One of the most frequent questions we get asked when it comes to ESG is, “Where do I begin?”. For many companies, the process of getting started with a new ESG program is the most difficult step. With nearly 1,700 frequently evolving ESG reporting protocols available, it can be daunting just to determine where to begin. This uncertainty associated with ESG reporting can unfortunately paralyze any progress for several organizations. The good news is that ESG doesn’t have to be an ‘all or nothing’ effort. In fact, getting started is a simple and straightforward process.

    Get started with ESG

    Regardless of what ESG reporting program you choose (or eventually choose), there are many common elements that can form the basis of your organization’s ESG program. Although social and governance KPIs have been undergoing rapid evolution recently, environmental KPIs have been comparatively stable. Environmental KPIs tend to be quantitative with established calculation methodologies, whereas the definitions and determinations as to what is important regarding societal and governance factors and how to measure them are still being evaluated globally. Considering this, many companies elect to start their ESG reporting program using monitoring and collecting environmental data.

    Additionally, almost all reporting programs include the concept of a baseline, or a time period against which future ESG metrics are compared. Developing the baseline requires a good understanding of your organization’s current ESG performance, which of course requires a good set of data. Universal data that is required for any ESG reporting program includes data on greenhouse gas, water quality and consumption, waste, and energy consumption. The bedrock of an ESG program starts with the collection, management, and reporting of these data. This information can also help to inform further decisions for your ESG program, including which framework is most appropriate for your organization.

    Locus Sustainability Metrics

    As part of this effort, you should make sure you are collecting and calculating your ESG metrics with software that supports the required complexity of environmental data. Often the companies who suggest a turnkey solution to ESG reporting are not only lacking in social and governance data, but are woefully underprepared and unequipped to handle environmental data as well. With over 25 years of experience in creating software for environmental reporting, Locus Technologies is equipped to help organizations collect and report ESG data in a way that others aren’t.

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      Combat Green Skepticism with Accurate ESG Data

      Greenwashing, or the presenting of misinformation to create a sustainable image, is common among organizations. While many consumers may not be aware with the term greenwashing, they are aware of how common it is. In fact, consumers are so aware of this trend that they’re overwhelmingly skeptical of all organizations presenting themselves as sustainable. Four out of every five consumers have expressed skepticism of organizations claiming to be sustainable. So, how does your company express your sincere desire to take steps that are sustainable for the environment? With accurate and transparent data.

      Avoid Green Skepticism and Greenwashing with Locus

      With 2/3 of consumers seeking out companies that emphasize sustainable practices, the temptation to greenwash is certainly enticing. Sometimes it comes in the form of making irrelevant claims, like saying a product is free of something that is banned (like CFCs). Other times it comes in the form of half-truths, like saying that a product is sustainably sourced, despite the manufacture of the product being unsustainable or harmful to the environment. Any way you look at it, the demand for sustainable products is so high, as is the temptation to greenwash. The truest, and least disputable way to combat greenwashing is by collecting and reporting your data accurately.

      Sustainability is now a broad umbrella term that encompasses not only environmental practices, but social and corporate governance as well, better known as ESG. This broadness reflects a change in consumer attitudes from generation to generation, perceiving more than environmental practices as important while holding environmental practices to the microscope. In fact, over 75% of Gen X consumers say that they have to trust a brand before purchasing from them, and over 85% of Millennial and Gen Z consumers say they same. This trust encompasses everything from the use of organic ingredients to company wellness practices, and is reinforced with buying practices. To do environmental, social, and corporate governance right, organizations have taken a data-first approach.

      Credible ESG Reporting with Locus

      With Locus Technologies, you can take concrete steps towards achievable ESG goals. By taking a fully-digital approach, your organization can make the transformation by maintaining full visibility of raw sustainability data, calculations, and other factors, and also keeping data easily accessible and traceable. Reports are fully traceable back to the source, and are indisputable, allowing for increased trust from consumers or anyone else who has a stake in this information. Given that 7/10 consumers are willing to pay a premium to sustainable-minded companies who are fully transparent with their efforts, this move can provide a significant return on investment in the short term.

      The benefits of data centralization also go beyond combatting greenwashing. A fully-digital and streamlined process will improve your ability to handle the data appropriately, and will ease any auditing and reporting responsibilities moving forward, making the entire process cheaper and faster.

      Avoid Green Skepticism and Greenwashing with Locus

      With brand loyalty and purchasing decisions being reliant on sustainable decisions, the move to accurate and transparent data management is key. By implementing Locus Technologies ESG software, your organization can employ cutting-edge solutions to combat greenwashing by promoting your sustainability goals and actions transparently and accurately.

      Request an online demo of our ESG solutions

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        No-Code Application Development

        Locus delivers capabilities that enterprises need to achieve true digital transformation in a unified low-code or no-code automation platform. Locus provides out-of-the-box tools and services to automate business processes, integrate with external applications, and provide a rich user experience.

        No-Code EHS Application Development

        Locus offers low-code app building, rich multi-experience capabilities, business process orchestration, automated decision making, and easy integration with other databases. Locus makes it easy to modify existing seeded apps or build entirely new apps in a few clicks and provides easy ways to write business logic to solve challenging EHS or ESG problems. We let you blend “off the shelf” apps and unique requirements with exceptional ease.

        Who is a User-Developer?

        If you know how to layout slides, if you can draw a flow chart, build a spreadsheet using formulae, sorting, with tables and charts, then you are a User Developer. We empower domain experts to build applications within the Locus Platform using the platform’s drag and drop functionality.

        What is No-Code Development Platform Software?

        No-code development platforms provide drag-and-drop tools that enable end-users with proper access privileges to develop software quickly without coding. Locus Platform provides WYSIWYG editors and drag-and-drop components to rapidly assemble and design EHS, ESG, or any other application applications. Both developers and non-developers can use these tools to practice rapid application development with customized workflows and functionality. Locus Platform provides tools for enterprise-sized businesses that need to quickly design business processes and workflow applications at a large scale, such as ESG reporting or EHS compliance management. The software tools provide templates for workflow, element libraries, and interface customization to create fully functioning applications without any coding.

        With Locus, your organization can:

        • Drag-and-drop entities to assemble applications.
        • Allow non-developers and non-technical users to build applications.
        • Build ESG, EHS, or any other apps fast using visual tools that empower IT and business lines alike.
        • Leverage no-code integration to connect and act upon data across databases, cloud services, and legacy systems without data migration or use APIs to tie in data.
        • Deliver enterprise-grade security, scalability, and reliability to support mission-critical business apps.
        • Easily build complex workflows to suit your organizations needs.

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        Emerging Technology and the Environmental Industry

        Locus Founder and CEO, Neno Duplan recently sat down with Grant Ferrier of the Environmental Business International to discuss a myriad of topics relating to technology in the environmental industry such as Artificial Intelligence, Blockchain, Multi-tenancy, IoT, and much more.

        Top 5 Usability Features in Locus EIM

        Locus EIM is the leading cloud-based application for managing and reporting environmental data. We have highlighted 5 key usability features that allow users to get the most out of their investment.

        Quicker Data Searching with Natural Language Processing

        The recent year of lockdowns pushed many daily activities into the virtual world. Work, school, commerce, the arts, and even medicine have moved online and into the cloud. As a result, considerably more resources and information are now available from an internet browser or from an application on a handheld device. To navigate through all this content and make sense of it, you need the ability to quickly search and get results that are most relevant to your needs.

        You can think of the web as a big database in the cloud. Traditionally, database searches were done using a precise syntax with a standard set of keywords and rules, and it can be hard for non-specialists to perform such searches without learning programming languages. Instead, you want to search in as natural a matter as possible. For example, if you want to find pizza shops with 15 miles of your house that offer delivery, you don’t want to write some fancy statement like “return pizza_shop_name where (distance to pizza shop from my house < 15 miles) and (offers_delivery is true). You just want to type “what pizza shops within 15 miles of my house offer delivery?” How can this be done?

        Search Engines

        Enter the search engine. While online search engines appeared as early as 1990, it wasn’t until Yahoo! Search appeared in 1995 that their usage became widespread. Other engines such as Magellan, Lycos, Infoseek, Ask Jeeves, and Excite soon followed, though not all of them survived. In 1998, Google hit the internet, and it is now the most dominant engine in use. Other popular engines today are Bing, Baidu, and DuckDuckGo.

        Current search engines compare your search terms to proprietary indexes of web page and their content. Algorithms are used to determine the most relevant parts of the search terms and how the results are ranked on the page. Your search success depends on what search terms you enter (and what terms you don’t enter). For example, it is better to search on ‘pizza nearby delivery’ than ‘what pizza shops that deliver are near my house’, as the first search uses less terms and thus more effectively narrows the results.

        Search engines also support the use of symbols (such as hyphens, colons, quote marks) and commands (such as ‘related’, ‘site’, or ‘link’) that support advanced searches for finding exact word matches, excluding certain results, or limiting your search to certain sites. To expand on the pizza example, support you wanted to search for nearby pizza shops, but you don’t want to include Nogud Pizza Joints because they always put pineapple on your pizza. You would need to enter ‘pizza nearby delivery -nogud’. In some ways, with the need to know special syntax, searching is back where it was in the old database days!

        Search engines are also a key part of ‘digital personal assistants’, or programs that not only perform searches but also perform simple tasks. An assistant on your phone might call the closest pizza shop so you can place an order, or perhaps even login to your loyalty app and place the order for you. There is a dizzying array of such assistants used within various devices and applications, and they all seem to have soothing names such as Siri, Alexa, Erica, and Bixby. Many of these assistants support voice activation, which just reinforces the need for natural searches. You don’t want to have to say “pizza nearby delivery minus nogud”! You just want to say “call the nearest pizza shop that does delivery, but don’t call Nogud Pizza”.

        Search engine and digital personal assistant developers are working towards supporting such “natural” requests by implementing “natural language processing”. Using natural language processing, you can use full sentences with common words instead of having to remember keywords or symbols. It’s like having a conversation as opposed to doing programming. Natural language is more intuitive and can help users with poor search strategies to have more successful searches.

        Furthermore, some engines and assistants have artificial intelligence (AI) built in to help guide the user if the search is not clear or if the results need further refinement. What if the closest pizza shop that does delivery is closed? Or what if a slightly farther pizza place is running a two-for-one special on your favorite pizza? The built-in AI could suggest choices to you based on your search parameters combined with your past pizza purchasing history, which would be available based on your phone call or credit charge history.

        Searching in Locus EIM

        The Locus team recently expanded the functionality of the EIM (Environmental Information Management) search bar to support different types of data searches. If a search term fits several search types, all are returned for the user to review.Locus EIM Quick Search

        • Functionality searches: entering a word that appears in a menu or function name will return any matching menu items and functions. For example, searching for ‘regulatory exports’ returns several menu items for creating, managing, and exporting regulatory datasets.
        • Help searches: entering a word or phrase that appears in the EIM help files will return any matching help pages. For example, ‘print a COC’ returns help pages with that exact phrase.
        • Data searches: entering a location, parameter, field parameter, or field sample will return any matching data records linked with that entity. For example, searching for the parameter ‘tritium’ returns linked pages showing parameter information and all field sample results for that parameter. Searching for the location ‘MW-1’ returns linked pages showing all field samples, groundwater levels, field measurements, and field sample results at the location.

        EIM lets the user perform successful searches through various methods. In all searches, the user does not need to specify if the search term is a menu item, help page, or data entity such as parameter or location. Rather, the search bar determines the most relevant results based on the data currently in EIM. Furthermore, the search bar remembers what users searched for before, and then ranks the results based on that history. If a user always goes to a page of groundwater levels when searching for location ‘MW-1’, then that page will be returned first in the list of results. Also, the EIM search bar supports common synonyms. For example, searches for ‘plot’, ‘chart’, and ‘graph’ all return results for EIM’s charting package.

        Locus EIM Chart Search

        By implementing the assistance methods described above, Locus is working to make searching as easy as possible. As part of that effort, Locus is working to add natural language processing into EIM searches. The goal is to let users conduct searches such as ‘what wells at my site have benzene exceedances’ or perform tasks such as ‘make a chart of benzene results’ without having to know special commands or query languages.’

        How would this be done? Let’s set aside for now the issues of speech recognition – sadly, you won’t be talking to EIM soon! Assume your search query is ‘what is the maximum lead result for well 1A?’

        • First, EIM extracts key terms and modifiers (this is called entity recognition). EIM would extract ‘maximum’, ‘lead’, ‘result’, ‘well’, and ‘1A’, while ignoring connecting words such as ‘the’ or ‘for’.
        • Then, EIM categorizes these terms. EIM would be ‘trained’ via AI to know ‘lead’ is mostly used in environmental data as a noun for the chemical parameter, and not a verb. ‘Result’ refers to a lab result, and ‘well’ is a standard sampling location type.
        • EIM then runs a simple query and gets the maximum lead result for location 1A.
        • Finally, EIM puts the answer into a sentence (‘The maximum lead result at location 1A is 300 mg/L on 1/1/2020’) with any other information deemed useful, such as the units and the date.

        A similar process could be done for tasks such as ‘make a chart of xylene results’. In this case, however, there is too much ambiguity to proceed, so EIM would need to return queries for additional clarifications to help guide the user to the desired result. Should the chart show all dates, or just a certain date range? How are non-detects handled? Which locations should be shown on the chart? What if the database stores separate results for o-Xylene, m,p-Xylene, plus Xylene (total)? Once all questions were answered, EIM could generate a chart and return it to the user.

        Locus EIM Search Results

        Natural language is the key to helping users construct effective searches for data, whether in EIM, on a phone, or in the internet. Locus continues to improve EIM by bringing natural language processing to the EIM search engine.

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        [sc_image width=”150″ height=”150″ src=”16303″ style=”11″ position=”centered” disable_lightbox=”1″ alt=”Dr. Todd Pierce”]

        About the Author—Dr. Todd Pierce, Locus Technologies

        Dr. Pierce manages a team of programmers tasked with development and implementation of Locus’ EIM application, which lets users manage their environmental data in the cloud using Software-as-a-Service technology. Dr. Pierce is also directly responsible for research and development of Locus’ GIS (geographic information systems) and visualization tools for mapping analytical and subsurface data. Dr. Pierce earned his GIS Professional (GISP) certification in 2010.

        Streamline and Save on Your Title V Reporting

        Simplify your air quality data management and reporting with Locus’ unified software solution. Our Air Quality application resolves most common issues with managing and submitting your site emissions data. Locus handles all required regulatory data from your facilities in one centralized platform and makes it possible to streamline your tracking and reporting requirements for programs such as Title V, GHG, Fenceline, and LCFS.

        Title V Compliance Infographic

        Environmental compliance software screenshot of Locus Platform Air Quality Title V dashboard with iPad for air quality monitoring samples

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          5 Powerful Features of Locus Environmental Software

          Maybe you are a user of Locus’ Environmental Software (EIM) and are looking to get more out of our product. Or perhaps you are using another company’s software platform and looking to make a switch to Locus’ award-winning solution. Either way, there are some features that you may not know exist, as Locus software is always evolving by adding more functionality for a range of customer needs. Here are five features of our environmental software that you may not know about:

          1. APIs for Queries

          Locus expanded the EIM application programming interface (API) to support running any EIM Expert Query. Using a drag and drop interface, an EIM user can create an Expert Query to construct a custom SQL query that returns data from any EIM data table. The user can then call the Expert Query through the API from a web browser or any application that can consume a REST API. The API returns the results in JSON format for download or use in another program. EIM power users will find the expanded API extremely useful for generating custom data reports and for bringing EIM data into other applications.

          Locus EIM API

          2. Scheduled Queries for Expert Query Tool

          The Expert Query Builder lets users schedule their custom queries to run at given times with output provided in an FTP folder or email attachment. Users can view generated files through the scheduler in a log grid, and configure notifications when queries are complete. Users can scheduled queries to run on a daily, weekly, monthly, or yearly basis, or to run after an electronic data deliverable (EDD) of a specified format is loaded to EIM. Best of all, these queries can be instantly ran and configured from the dashboard.

          Scheduled Queries in Locus EIM

          Scheduled Queries in Locus EIM

          3. Chart Formatting

          Multiple charts can be created in EIM at one time. Charts can then be formatted using the Format tab. Formatting can include the ability to add milestone lines and shaded date ranges for specific dates on the x axis. The user can also change font, legend location, line colors, marker sizes and types, date formats, legend text, axis labels, grid line intervals or background colors. In addition, users can choose to display lab qualifiers next to non-detects, show non-detects as white filled points, show results next to data points, add footnotes, change the y-axis to log scale, and more. All of the format options can be saved as a chart style set and applied to sets of charts when they are created.

          Chart Formatting in Locus EIM

          Chart Formatting in Locus EIM

          4. Quick Search

          To help customers find the correct EIM menu function, Locus added a search box at the top right of EIM. The search box returns any menu items that match the user’s entered search term.

          Locus EIM Quick Search

          Locus EIM Quick Search

          5. Data Callouts in Locus’ Premium GIS Software

          When the user runs the template for a specific set of locations, EIM displays the callouts in Locus’ premium GIS software, GIS+, as a set of draggable boxes. The user can finalize the callouts in the GIS+ print view and then send the resulting map to a printer or export the map to a PDF file.

          Locus GIS+ Data Callouts

          Locus GIS+ Data Callouts

           

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