Why Locus | Page 7 of 26 | Locus Technologies

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.

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.

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.

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.

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.

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.

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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 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.

[icoLocus name=”list”] Use the video chapters to navigate to areas of interest.

Neno Duplan is founder and CEO of Locus Technologies, a Silicon Valley-based environmental software company founded in 1997. Locus evolved from his work as a research associate at Carnegie Mellon in the 1980s, where he developed the first prototype system for environmental information management. This early work led to the development of numerous databases at some of the nation’s largest environmental sites, and ultimately, to the formation of Locus in 1997.

Click here to learn more and purchase the full EBJ Vol XXXIII No 5&6: Environmental Industry Outlook 2020-2021

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Top 5 Usability Features in Locus EIM

Locus Environmental Information Management (EIM) is the leading cloud-based application for managing and reporting environmental data. EIM allows users to gain control and insights into any analytical data, automate laboratory and field data collection, and ditch the patchwork of paper forms, spreadsheets, and disjointed databases for a centralized system. We have highlighted 5 key usability features that allow users to get the most out of their investment.

Easy Searching

Throughout EIM, users have many opportunities to create search criteria, then pull up the records that match their data filters. A recent addition to EIM has been well received as it is a game-changer for simplicity. Located to the right of the main menu is a search box. Type in the name of a parameter, then click the resulting View Parameter link. You will see all the relevant information on the parameter, including parameter type, whether it is an aggregate parameter or not, site assignment, molecular weight, toxicity equivalence factor, and so forth. Click the View Matching Field Sample Results link, and you will see all the lab results that are stored in EIM for your selected site and analyte. If the parameter is a field measurement, you will see all applicable field measurements. If a parameter can be either a field measurement or lab analyte, you will see both field readings and laboratory results for the parameter.

Suppose your entry in the search box is a sampling location rather than the name of a parameter. In that case, you will see matching field measurements, sample collection data, analytical results, and groundwater readings for the indicated location.

Rolling Upgrades

Think of the frustration your users or administrators may have experienced graduating from Windows XP to Windows 7 and 8 then 10. We guarantee this will not be repeated with our suite of products. Our Software has no version numbers. Rolling upgrades (included in License) are performed for brief periods during non-standard working hours. These updates will not hide or bury existing features. Over time, the interface may change to take advantage of new tools, but this will be done in a measured manner to improve the user experience. What we strive for is to never have a formerly working function break. If you have a recent vintage browser, you should have access to all functionality that comes with our Software both before and after a release.

In line with this advantage of our products, Locus is not dependent on maintaining links to other software packages. This is not the case for some of our competitors who rely on links to third-party packages to perform data validation, plotting, and reporting.

User Empowerment

Almost all of the tasks that are required to manage our products can be done by our customers. This includes adding new users, permissions, and roles; new valid values; new action limits and screening criteria; new custom reports; editing or deleting groups of records; adding new tables to audit; and creating new EDD formats. The few tasks that Locus must be involved include rollbacks of the database, adding new custom fields and data checks, and developing new functionalities.

Customers who adopt EIM typically replace a series of spreadsheets that have grown more unwieldy by the year or a homegrown database built with a lower-end product like Access. The keepers or administrators of these spreadsheets and homegrown databases are sometimes concerned about losing access and control. There is no doubt that a cloud-based system that multiple clients access must have rigid controls in place to assure data integrity and completeness. Still, we go to great lengths to accommodate “power users,” allowing them to run their SQL statements in our Custom Query module. This tool is widely used and appreciated by users who formerly managed in-house databases at DOE facilities, large water utilities, environmental consultancies, and leading oil and chemical companies. Finally, and most importantly, Locus is a partner with our customers; if you are not successful with EIM, no one “wins.”

Interface Consistency and Simplicity: EIM Grids

The basic grid that EIM uses to display data is pervasive throughout the system, appearing in multiple places under each of the Setup, Field, Input, Analysis, Reporting, and Visualization main menu options. This grid is mighty. With it, you can filter on individual columns by clicking on a list of values below the column header. You can also sort the values in any column by clicking on an up or down arrow in the column header. You can choose to display 10–1000 records at a time. Other features include an advanced search option, the ability to reorder/select/deselect columns, and the opportunity to export the data displayed in the grid using any of the following export types – CSV, Delimited, Excel, PDF, KMZ, Shapefile, or XML – or you can copy the dataset to your clipboard. The power and ease of use of this grid, coupled with its presence throughout EIM, make the system easy to learn and use for users of all ability levels.

The usability of the grid is taken to a new level in several places in EIM, where you pull up a set of analytical records that meet the selection criteria that you have specified. When you then click on the map icon in the bottom left corner of the grid, EIM takes you directly to Locus’ GIS module, where the results pulled up on the grid are displayed on a map of your site next to their sampling locations.

Saving and Reusing Your Work

While you can often get to the data you need in EIM in a few steps, this is not always the case. Your selection criteria may be complicated, involving multiple fields and entries in the database. Most grids have a default set of fields that are displayed in a predetermined order. You may prefer to reorder these, include additional fields, or remove some of the default selections. If you need a highly formatted instead of a simple tabular report that does not yet exist in EIM, you will need to spend more time inputting the specifications for the report. How can you minimize your effort? You can do so by naming and then saving your selections for repeated use at later times. When you do so, you must tell EIM whether these saved inputs are for private or public use. This feature of EIM saves time, reduces keystrokes, and prevents mistakes (get it right once, then reuse as needed). And, enhances user adoption as power users can create and share the reports their users need most often.

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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?

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.

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.

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.

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.

Contact us to see a demo of the Air Quality app

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.

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

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

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

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

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Streamline and Save on Your DMR Reporting

The DMR tool in Locus’ Environmental Information Management (EIM) software solves the problem of time-consuming, labor-intensive, and expensive manual report generation by automating the data assembly, calculations, and formatting of Discharge Monitoring Reports. Depending on the type of discharge and the regulatory jurisdiction, you may be required to report information such as analytical chemistry of pollutants, flow velocity, total maximum daily load, and other parameters. For companies that report on multiple facilities, producing a DMR also becomes a major expense.

Thanks to Locus’ DMR tool, companies can generate DMRs within minutes with validated data in approved formats, with all of the calculations completed according to regulatory requirements. Companies can set up EIM for its permitted facilities and realize immediate cost and time savings during each reporting period. Locus users have saved over $2,000,000 on DMR reporting.

Locus continues to enhance the Discharge Monitoring Report (DMR) tool, recently implementing calculations needed to handle reporting of divalent metals. New formats, such as Florida DEP ezDMR, are regularly being added, so customers can meet their reporting requirements.

Contact us to see the DMR tool in action

Locus Technologies Receives the Prestigious EBJ Award for 15 Consecutive Years

Environmental Business Journal (EBJ) recognized Locus for growth and innovation in the field of Information Technology.

MOUNTAIN VIEW, Calif., 9 February 2021 — Locus Technologies, the leading provider of EHS Compliance and ESG software, was awarded a 15th consecutive award from Environmental Business Journal (EBJ) for growth and innovation in the field of Information Technology in the environmental industry.

EBJ is a business research publication providing strategic business intelligence to the environmental industry. Locus received the 2020 EBJ Award for Information Technology by growing and innovating their Software as a Service (SaaS) and related services.

Among the key drivers for Locus in 2020 was providing vital solutions to essential organizations during the earliest stages of the COVID-19 pandemic. Locus provided fully digital waste tracking and the tools needed for groundbreaking work in embodied carbon relating to construction projects for the Port Authority of New York and New Jersey, a potentially industry-transforming innovation.

Water utilities used Locus software to deliver over 150 billion gallons of clean water to tap, the equivalent of 235,000 Olympic-size swimming pools, for over five million consumers. Utilities also benefited from newly released Locus tools such as the direct XML export to the EPA, eliminating the need for custom reporting. Locus continued its work as a third-party verifier in Low Carbon Fuel Standard and Greenhouse Gas verifications, providing verification services for over 60 facilities totaling no less than 3.2 million barrels of crude oil, 2.6 million barrels of natural gas liquids, and 88 million bottles of wine.

“Locus continues to lead the environmental industry digital transformation with its forward-thinking product set, pure SaaS architecture and unified set of EHS Applications,” said Grant Ferrier, president of Environmental Business International Inc. (EBI), publisher of Environmental Business Journal.

“We would like to express our joy and gratitude for receiving the EBJ Information Technology award for the 15th year. We look forward to continue providing our customers with pioneering unified EHS and ESG software and services in 2021,” said Wes Hawthorne, President of Locus Technologies.