5 Common Compliance Issues for EHS Managers

At Locus, we understand the unique requirements of EHS managers. More than many, EHS managers are dealing with a wide range of duties instead of a few pointed ones. With so many responsibilities, it can be hard at times to stay on top of your organization’s  EHS needs. In this blog we highlight a few common compliance-related issues that should resonate with most EHS managers and the steps we’ve taken to help you with them.

Regulatory Change Alerts

The worry of missing a regulatory change

They say it takes a village to raise a child, but it also takes a village to keep up with your organization’s regulations. If you are dealing with compliance, then chances are you’ve not been the first to know about a regulatory change, or you’ve found out about one later than you would have liked.

When you’re getting notifications from OSHA and the DOT and you’re checking specific permits and getting letters and emails about changes, sometimes it can all be too much. With Locus, you have the added benefit of an extra set of eyes, well… multiple sets of eyes. Our team keeps up with every rule and regulation used in our applications to further assist you with the breadth of information you have to manage. Locus EHS software is also integrated with RegScan, giving users seamless real-time access to current EHS regulations. This will allow Locus users to customize a watchlist in RegScan to quickly and readily view EHS regulations relevant to them.

 

Low maintenance costs

Managing maintenance costs

When you have to worry about ever-changing costs that touch several parts of your business, the last thing you need is a gated product update from your EHS software vendor. With Locus’ SaaS model, you see reduced implementation costs and no costly upgrades – everyone is on the same version. And since everything is in one place, you have a reduced amount of wasted time finding information and making it actionable.

 

Data security - AWS - cloud

Being cognizant of your data security

EHS managers deal with sensitive data, ranging from social security numbers to workman’s comp issues. Not taking proper care of this information can be anything from a PR debacle to a legal battle. With Locus, you have the peace of mind in knowing that your data is stored in entirety on the most secure cloud, Amazon Web Services (AWS). Not only that, but you have extensive security and admin access options, so you can have the relief in knowing only those with privileges can see certain information.

 

Quick access to information

Quick access to stored information

Whether you’re looking for purchase documentation of PPEs or you need to reference yesterday’s GHG numbers, you need access to that data without having to wade through multiple applications. And with all of your data stored in one secure repository, not only can it be accessed quickly, but it can be incorporated with other tools like automated reporting.

 

Compliance data consolidation

Consolidation of compliance data

Are you still dealing with a different filing cabinet or file folder for each type of compliance? Not having your compliance data consolidated into one application means wasted time and time spent re-entering information (possibly incorrectly). Locus combines water, air, hazardous waste, DOT, PPE, workman’s comp, incidents, and more into one streamlined application to help with your organization and efficiency.


We are determined to support the needs of the user, you, first. By focusing on product development and customer service first, we feel that we have created a software as a service model that is both flexible and time-saving. If you are experiencing any of these issues with your current provider, we ask that you speak with a Locus representative today for a consultation or in-depth demo of what we can offer.

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    AI for EHS&S: Three Essential Steps to Get Started

    Regardless of the size of your organization or the industry you’re in, chances are that right now artificial intelligence can benefit your EHS&S initiatives in one way or another. And whether you are ready for it or not, the age of artificial intelligence is coming. Forward-thinking and adaptive businesses are already using artificial intelligence in EHS&S as a competitive advantage in the marketplace to great success.

    Locus Artificial Intelligence (AI) for EHS

    With modern EHS&S software, immense amounts of computing power, and seemingly endless cloud storage, you now have the tools to achieve fully-realized AI for your EHS&S program. And while you may not be ready to take the plunge into AI just yet, there are some steps you can take to implement artificial intelligence into your EHS&S program in the future.

    Perhaps the best aspect of preparing for AI implementation is that all of the steps you take to properly bring about an AI system will benefit your program even before the deployment phase. Accurate sources, validated data, and one system of record are all important factors for any EHS&S team.

    Accurate Sources

    Used alongside big data, AI can quickly draw inferences and conclusions about many aspects of life more efficiently than with human analysis, but only if your sources pull accurate data. Accurate sources data will help your organization regardless of your current AI usage level. That’s why the first step to implementing artificial intelligence is auditing your data sources.

    Sources pulling accurate data can be achieved with some common best practices. First, separate your data repository from the process that analyzes the data. This allows you to repeat the same analysis on different sets of data without the fear of not being able to replicate the process of analysis. AI requires taking a step away from an Excel-based or in-house software, and moving to a modern EHS&S software, like Locus Platform that will audit your data as it is entered. This means that anything from SCADA to historical outputs, samples, and calculations can be entered and vetted. Further, consider checking your data against other sources and doing exploratory analysis to greater legitimize your data.

    Validated Data

    AI requires data, and a lot of it—aggregated from multiple sources. But no amount of predictive analysis or machine learning is going to be worth anything without proper data validation processes.

    Collected data must be relevant to the problem you are trying to solve. Therefore, you need validated data, which is a truly difficult ask with Excel, in-house platforms, and other EHS&S software. Appropriate inputs, appropriate ranges, data consistency, range checks (to name a few)—are all aspects of data that is validated in a modern EHS&S software like Locus Platform. Without these checks inherent to a platform, you cannot be sure that your data, or your analyses are producing useful or accurate results.

    Possibly the best reason to get started with AI is the waterfall effect. As your data uncovers hidden insights and starts to learn on its own, the more accurate your new data will be and the better your predictions will become.

    One System of Record

    A unified system of record and a central repository for all data means that you see an immediate increase in data quality. Starting with AI means the end of disconnected EHS&S systems. No more transferring data from one platform to another or from pen and paper, just fully-digitized and mobile-enabled data in one platform backed up in the cloud. You also gain the added benefit of being able to access your data in real-time, incorporate compliance/reporting on the fly, and save time and resources using a scalable solution instead of a web of spreadsheets and ad-hoc databases.

    Whether you are ready for AI or not, investing in these otherwise useful steps are necessary for any program looking to harness the power of artificial intelligence. When you are ready to take that next step, you will be well on the path to AI implementation, with a solid data infrastructure in place for your efforts.

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      To learn more about artificial intelligence, view this NAEM-hosted webinar led by Locus experts, or read our study on predicting water quality using machine learning.