Webinar: A Need-to-Know Guide to EHS Reporting

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Jamie: Hello and welcome. We would like to wish everyone a good morning, a good afternoon or a good evening depending on where you are in the world. My name is Jamie, and I am one of the co-founders of Safeopedia.

Before we get started, I just want to run through a few housekeeping items. Everybody on the webinar will be on mute for the duration of the presentation, but we really do want to hear from you. So, we’ll keep it interactive and ask that you type your questions into the GoToWebinar console as we go, and we’ll do our best to answer as many of them as possible at the end of the presentation. Also, quite a few questions came in. Today’s webinar is being recorded, and we will be sending out the link to the recording and to the slides to all participants a couple of days after the webinar.

Typically, one of the first questions that guests asked is ‘how do I get in touch with the presenters after the webinar?’ So, what we’ll do is we’ll put up a slide at the end of the webinar that has their contact information. That way, if we don’t get to your question or the webinar ends, then you have a question after the fact, you can follow up with them directly.

So, today, we’re proud to present a need-to-know guide to EHS recording. The webinar is hosted by Safeopedia and is being presented by Pro-Sapien. Here at Safeopedia, our goal is to support the EHS professionals, the operational folks, and really, any and all safety-minded individuals through high quality educational content and resources. We would really like to thank those dedicated professionals for the great work they do on a daily basis to keep our families safe.

It is now my pleasure to introduce to you today’s presenters, Hannah Stewart and Murray Ferguson. Hannah joined Pro-Sapien as part of the Marketing team after graduating with a Bachelor of Arts from university. Since then, Hannah has written many articles published within the EHS world and spends a lot of her time researching developments and technology that could be of benefit to EHS in the years to come. Hannah is going to be posing the questions to Murray today about how EHS leaders can better build meaningful reports, as she too seeks to learn more about business intelligence and reporting.

Murray has been involved in providing business intelligence I.T solutions to some of the world’s largest companies for over 15 years. He is particularly interested in using modern technologies from improvements and EHS performances, striving to support business processes and promote safety best practice in high risk industries.

Alright, Hannah and Murray, take it away.

Hannah: Thank you very much, Jamie, and thank you everyone from me as well for joining us today from all over the world. I’m Hannah, as Jamie has just introduced, and I’m part of a team here at Pro-Sapien software. I am speaking to you from Glasgow in Scotland. So, I hope you can all understand my accent. Today, we’re going to be looking at how to build EHS reports that actually assist in decision making.

History repeats itself, time and time again, as we come across companies that have the right idea and goal, but are missing the mark when it comes to planning the steps to get there.

Reporting is an integral part of EHS management, and it’s the brain – if you like human anatomy analogies. So, what we’re going to explore today is how EHS directors and leaders can plan a solid platform to achieve best in class EHS reporting that goes on to save lives.

So, in 2016, this subject is impossible to discuss without addressing big data. You all probably have heard of big data, and some of you might even be using it. It’s talked about a lot in business, and we’ve started hearing about it in the EHS world, too. We’re going to go a bit against the grain here and tell you that for the majority of organizations, it’s actually falling short of all that it’s cracked up to be, particularly for health and safety.

Before we go on and tell you why, let me just give you a solid definition so that we’re all on the same page here. According to Gartner, Big data is high-volume, high-velocity or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision-making, and process automation. That’s a bit of a mouthful, but don’t worry, we aren’t going to bombard you with IT jargon today. We’re going to talk about the subject of creating meaningful EHS reports and the steps you need to take to reach a good, high level of reporting.

As Jamie has introduced, I’m here with our business intelligence expert, Murray Ferguson who is a director of Pro-Sapien Software. And, as Jamie pointed out, he has spent 15 years of working as an advocate of utilizing technology for business. So, I’ll be putting questions to him for discussion. Today is going to kind of work as a Q&A format, and we’ll primarily be covering why big data isn’t the best option for EHS at this point in time. Key investment areas that could be concentrated on instead, how to then actually build reports with a visual example of tools that can be used. And then, we’re going to look at what the future holds for EHS Management.

Now, as Jamie also points out – he’s done this for me – we encourage questions throughout our webinar and you can post these in the chat facility of the GoToWebinar. We’ll dedicate some time to them at the end.

So, without further ado, let’s start the question asking.

Murray, thank you for joining us today. We hear a lot about Big Data and how it’s revolutionizing life as we know it and it’s having an impact on EHS reporting. Why discuss the idea that it’s not working when it seems everybody has got it sorted out?

Murray: Well, hello folks! Thanks for the intro, guys. Yes, well, we’re certainly living in a world where there is far more information available than ever, but we need to be mindful that for the vast majority of organizations, certainly, we speak to and come across, few companies have actually accomplished much more than the basics in terms of producing meaningful information from the data they have and also pushing that data out to all that need it.

So, in some cases, they struggle to catch a lot of data they need in a consistent and logical manner, and this is having an impact on the information that can be used to influence safe behaviors. So, even where organizations do have the data, often, they’re analyzing and distributing meaningful information well at an operation level, but not at a corporate, global level, and I’m sure there are people out there that recognize that. This can lead to disparity where the guys on the shop floor have the EHS metrics they need, but the regional or global EHS director does not have consistent and consolidated information across the entire business.

Hannah: So, there are two issues there then, and the problem could lie within data capture, or it could be difficulties with analysis and distribution. Is that what you’re meaning here?

Murray: Yeah, I believe that could be the case. So, primarily, not enough time and effort has been spent on producing meaningful metrics and information that’s actually going to assist the individual. So, everyone from the global EHS director, the site manager, environmental manager, to the average Joe with health and safety should be receiving the metrics they need to make the business a safer place.

So, a recent study conducted by PwC finds that 75% of companies they surveyed lacked the skills and technology to use their data to gain an edge on their competitors. And businesses may invest significant money into data capture, but often they’re dropping the ball when it comes to actually using that data in reporting. So, what I want to talk about today is how EHS can approach this problem and this involves really challenging that Big Data buzzword.

Hannah: Okay, Murray. Next question. When I asked you about this topic a few months ago, I am not going to lie, your response actually surprised me because you’ve got a background in business intelligence, so, truly, you’d be an advocate of big data for reporting reasons in EHS.

Murray: You’re right. I’m not downloadable big data. I’m just not convinced of the importance of it to most EHS departments at this point in time. So, big data can be extremely beneficial, but it’s very dependent on the relevance of the information and the quality of that data. So, large transaction organizations such as Google, Amazon and Facebook can make very good use of data because they have huge amounts of it and it’s readily available. So, combine this with the fact that minor tweaks to how they sell to you and me can make a big difference to what we buy as consumers. That can make/ boost sales by millions. So, it’s a bit of no brainer.

Hannah: So, I suppose that’s of using it for consumer behavior and profiling, but hasn’t big data been able to help operations and maintenance as well?

Murray: For sure and there’s plenty of examples where maintenance schedules can also benefit, so one that’s fairly well-known was a case study by Microsoft where Thyssenkrupp featured. So Thyssenkrupp have over a million elevators used across the world, and they started to analyze the breakdown occurrences of these elevators. And because they’ve got a million and they’ve got so much data, they were able to predict when these elevators were going to fail. Tesco here in the UK do similar analysis on the refrigerating it needs to protect when machines need servicing, that kind of idea.

Hannah: Okay. I think I’m following and we’ve got a good introduction to the topic of big data there. Where do you think organizations are going wrong then, with their strategies in terms of EHS, you know? Is this big data buzzword? Is it just simply not for EHS? Where does the issue lie and should EHS be dedicating any thought to big data at all?

Murray: Okay, long question.

Hannah: Yeah. Sorry.

Murray: I think my issue with big data is the fact that it’s a term that is liberally thrown about, but does not have much relevance, at this point anyway, for the average EHS department. Should I use this analogy? Yeah, I’ll go for it. So, we worked with a guy and he says, it’s like teenage sex – everyone talks about it, nobody knows how to do it, but everyone thinks everybody else is doing it. And I think that’s true for EHS and big data.

Hannah: So, that’s not almost PG13 analogy, but I think we’ll have to go for that now… now that you’ve said it. You’ve done it.

Murray: So, in terms of strategy, big data, you reckon expensive with no guarantee of benefits, it takes time and effort, and, specifically, this type of project is going to be driven by other departments, and probably with the assistance of a data analyst within the IT team. So, my guess is that in your average big data project, the priorities of the EHS team are going to be secondary to finance, sales, marketing, and probably bind a few other departments depending on industry type.

Hannah: So, it’s like EHS will get pushed to the end of the queue essentially.

Murray: Correct. So, to answer your question, my view is that EHS should invest in their own data capture where needed and their abilities to manipulate that data. And it comes back to really be able to walk before you can run. So, get the basics right and it should be — business intelligence should be more of an iterative process.

Hannah: I suppose if it is iterative and ongoing as well, people have the chance to get a hang of it along the way. Now, if I can just deflect your – or bring your attention back to the Gartner definition that I spoke to you about in the beginning. It’s high volume and high variety and it demands innovative forms of information processing. Judging by how difficult that is to see, I’m guessing it’s also difficult to do, and it can’t just be implemented and then left on its own to produce excellent risk reducing metrics. I think it also kind of supports the point that you’re making here.

Murray: Yeah, absolutely. So, for me, the bigger issue for EHS departments right now is making the most of the data that they already have. So, all EHS software systems worth their salt capture the data needed, but it’s academic too. If you can’t get that data out to the audience that needs it to keep your organization informed and safe. And this is an issue or problem that we see regularly.

So, in reality, most health and safety departments don’t have huge amounts of data at this point in time. So – and big data is about taking data from a variety of different sources, be that maintenance information where the data senses on machinery. Virtually, anything man-made these days can be programmed to collect data, which is excellent. And I firmly believe that we’re moving towards a safer society with thanks to technology advancements. However, I also believe that it’s very easy to have your vision clouded by what’s possible rather than what’s achievable with the resources currently available. And, in my opinion, health and safety does not need big data to provide best in class EHS information. So, both time and money can be better spent without the distraction of big data. I say that and that’s for the vast majority of organizations. Clearly, some are going to be further ahead than others, but for most organizations, I think that’s the case.

Hannah: Good answer to my long question there. Now you mentioned making the most of the data that companies already have, which leads me on to my next question actually. Where do you think the EHS department should be allocating their budget instead?

Murray: Well, we implement health and safety solutions, and I suppose I’m kind of covering what we say to our existing clients. You know, money would be better spent, in my view, in training your staff to use the tools that would give them better information and being self-sufficient at using the analytics tools and being able to create and understand the information, to build reports that can be easily accessed and consumed by the relevant audiences. And most technologies are available, often paid for, you know. So if you’re using the Microsoft stack and you have access to them. And they’re usually helpful when organizations know how to use them. And we’re actually going to have my colleague, Andy, demonstrate some of these technologies in a few minutes. But nearly all EHS systems come with a standard suite of reports, most of which won’t actually be used because they don’t quite deliver the information needed. So, one of the things that we suggest to our clients is to carry out workshops where we define the reports, the metrics and the KPIs that their organization needs, and avoiding the one-size-fits-all approach to management information.

Hannah: So I guess it’s kind of about empowerment then, you know, like giving people the skills to create the information that they need.

Murray: Absolutely. So, you empower your staff, give them the skills so then to create a role management information – the ‘teach a man to fish rather than give him a fish’ philosophy.

Hannah: Correct me if I’m wrong, Murray, but I guess an easy way to sum that up in my view is that, there are two basic halves to this: 50% of it is going to data captured, and the other half is to do with how that data becomes information, how that’s displayed, etc., that kind of thing. It’s like making it digestible for the human brain.

Murray: Okay, I like your analogy. Yes, absolutely. So, going back to big data. It’s kind of linked to big data, but it’s not necessarily big data. So, the fundamental reporting and analytics and doing that before investing in program additional data sources and information.

Hannah: From what you’re saying, and to me, this all kind of boils down to the fact that EHS directors or leaders need to be equipped with good quality data to in turn produce good quality reports, and that can be built and deciphered by staff who have the skills to do so.

So, we’re going to move on to my next question. Is there a general guide that leaders can look to for enabling this kind of process that you’ve been talking about?

Murray: Every company is different, but I think there’s some general common central ideas for creating reports that are actually going to aid decision making. First of all, I’d say reporting and analytics is really key to think about these things, particularly when you’re implementing a new EHS application. So, make sure this element is covered in detail with your supplier and don’t buy the – we have lots of standard reports that meet your needs. So in that scenario, chances are some will and some won’t, and you’ll end up manually creating report because they quite fit their needs.

So ask yourself, are your current reports and metrics fit the purpose? Is the process automated or is someone in the team spending significant amount of time collating data manually? And that’s not just about the time involved in doing that but about quality too. So, manual collation means human error.

The other thing to think about is what data or information is needed, and it’s not just about for senior management to do their job. So you really need to consider the various roles and information requirements from shop floor to top floor to improve safety conditions. Once you have your assets, you can start to envision your strategy for getting there.

Hannah: So, Murray, just to make sure we’re following. You mean, is the required data easy to find for each person searching this also?

Murray: Absolutely. Isn’t data locked away in the application? Do your staff have to work hard to get meaningful information out of it? And before you even ask that question, you need to look at whether you’re enabling your staff to report near misses and instances you unearth. There are a number of barriers to reporting, and one of them is difficulty, which the EHS director or safety manager absolutely has to address. So, your data capture can be quite dull and a sometimes confusing task for end-users. You need to consider the software you’re going to implement to make it as easy as possible for them. Understanding success criteria for starting a project is paramount. Again, workshops were the key stakeholders involved can really aid this and this is something we as a business can handle.

Hannah: Thank you very much, Murray. Audience, I’m sure you are waiting for this one. We have quite a lot of information to digest there. So, what I’m going to do now is actually hand you over to our principal consultant, Andy Gree. Andy is going to go ahead and show you a visual example of putting Murray’s advice into action. So, we’re going to look at how to build a meaningful report using live data.

What you’ll see is one aspect to Pro-Sapien’s EHS care solution, which is based on Microsoft SharePoint. So those of you who use SharePoint or Office 365, you’ll be able to see the platform that you’re already familiar with being used in new ways, and, in this instance, for EHS report building.

So, hopefully, you can all see your screens clearly. And Andy, I’m giving you a strict timeframe of five minutes. Thank you.

Andy: Thank you, Hannah. So what we’ll demonstrate today is what are the aspects of Pro-Sapien’s EHS solutions based on SharePoint and Microsoft Office 365. So the first element we’ll look at is a good example of the capability of what we referred to earlier, which is the ability to push information out to the relevant audience. So that’s everything from simple charts on pages within your SharePoint portal, standard dashboards and even monthly board reports that can be automated.

So, our first example is a high-level overview of accident statistics, which I’ll access from the menu here. We can easily see from this dashboard the various types of incidents we’re having across the organization. We have various filters so that we can look at the part of the business or incidents over a certain time period, and these filters can be automated, so based on your geographical location or your job role, you may see different information.

We also have key performance indicator list here where we can easily see if we’re going off track. So you can see here for corrective actions, I have a target here to have zero overdue. I currently have three, so that’s being shown as red. And you’ll see the remainder of the dashboard is pretty self-explanatory. And some of the metrics may not be the kind of metrics that your organization looks to track, and that’s why this technology must be made flexible so that the dashboards can be tailored to deliver the key metrics that you’re looking for. The dashboard itself is underpinned by data warehouse, and that means that the data is refreshed automatically, so you’re always seeing the latest information. And it also makes it easier to integrate with other data sources that you may have, such as ERP applications; you can also import historic data, and so you can use dashboards to view your entire EHS information, all captured within SharePoint and perhaps other applications.

The next example I’ll show you is the ability for you to create your own additional reports for the system. In this case using Microsoft Excel. So, your data in this solution isn’t locked away. If none of the existing dashboards meet your requirements, you can create your own, and that’s what the author of this reports – I’m sure you know – has done, involving Microsoft Excel. If connected to the data warehouse (as I referred to earlier) and created pivot charts and pivot tables directly on data.

It’s important to note we’re now looking at the snap shots of the data in this scenario. We’ve got a live link back to the data warehouse. We’re always seeing the latest information.

So, this is an example of a report prepared earlier. However, to demonstrate points and what I’m going to do now is create a template to create a report in Excel within two minutes to keep within my timing. So, I made an Excel connected to the data warehouse. On the right, I have a view on the data here. In this case, we’re looking at close calls and positive interventions. So, first thing I need to do is give my report a title, which I can do here. And then, I need to select the data that I’m interested in. So, if I expand CCPI here, you can see that I can select close calls and positive interventions, so I’m getting the raw numbers there. And then, I want to analyze by date. So I can expand the date option; select month. I’m only interested in months, so un-tick the other options, and you can see how easily I have a breakdown of the information by month.

Let’s turn this into a chart, rather than a table. So I click on the chart option, drag and drop this source, the size I’m looking for, and you can see very easily, I’ve now got a graphical view of the information. Now that’s showing a lot of data, so it makes sense to apply a filter at this point, so I’m going to drag year into the filter area and just filter for a particular year, so I’m going to look at 2015 data. Then I can easily add another chart so I can click on say, let’s look at close calls. Maybe you want to look at those by saving the root cause that’s been identified. Maybe look at different chart types. We’ll look at a bar chart here as well. And so, that’s the report and I’m quite happy with the information that is being shown in there. But because I’m using this particular technology, I can get some very powerful filtering capability within the report automatically. So if I click on, say, December of 2015 here, you can see the other chart in the report is filtered automatically, so I’m seeing the information from that month. If I click on, say, ‘Ignorance of risks’ here which is one of the potential causes, we’re filtering the data. So a very functional report, very quickly.

So, that’s time up. So hopefully, I have demonstrated that reporting tools are very powerful, very flexible. If your organization is using Microsoft technology, you’re probably already licensed to use it.

Hannah: Well, thank you very much for that, Andy. Hopefully the audience were able to see a good example there of building an EHS report without a headache. This is exactly the kind of process you would need to enable your team with so that behavior can be changed and safety can be improved.

Now, I just have two more questions for Murray before we go on to some of the audience’s questions. I’m aware of time so we won’t spend too much time on these.

Murray, taking all of this into account that we spoke about to so far, what’s the foreseeable future for EHS in terms of challenges that will be faced?

Murray: Well, that’s a difficult question. So for the foreseeable future, it’s about providing the right data in the right format to the right people, and at only max change for a number of years. However, likes of Avanade found that one in three executives struggle to do this. So, we’re still struggling in some cases with the basics, you know. So there maybe instances where big data has a place, but I still think for the vast majority of EHS departments, we need to walk before they run.

And this is a quote from Bill Gates, and I think he asked about what the future is, and I think this sums it up. ‘We always overestimate the change that we’re carrying the next two years and underestimate the change that we’re carrying the next ten.’ So he then goes on to say to make yourself lulled into inaction. So for that reason, I think business intelligence and reporting has to remain an iterative thing.

Any system that you’re deploying worth its salt has to be able to take data from that party systems, needs to be scalable, and indeed you need to be able to take data out of that. You extract it from a system if your organization is investing in big data and pooling data from multiple applications.

Hannah: So before we move on, when do you see the instance where big data is actually going to make a difference to the EHS department? I know that your big on artificial intelligence, Murray, and so I’m sure you’ll have an answer for this one. Maybe advancements in that area are going to bring about things like automation, which we’re already seeing actually, which in turn would provide extraordinary levels of data crunching and accuracy.

Murray: Sure. I think first of all, I would say that big data is having an impact in some areas, but it tends to be very large corporations that have a large amounts of data. So it’s happening now. However, as we witnessed the advancement of artificial intelligence, big data from an EHS perspective will start to mature.

So the general use of autonomous vehicles may well be a key driver. Excuse the pun. These things capture and analyze huge amounts of data, all of which can be used to establish course of actions. And this is going to be a very interesting area for health and safety in the coming years. And that’s where, I think, big data can assist in improving safety when you think about how sophisticated these vehicles have to be and the amount of data they’re having to process compared to most EHS software we use now. So we’re becoming hugely important in the future for that reason to increased automation. That’s where I think big data and EHS will have its day. I think we’re looking at in five to ten years away.

So at the moment, at least for now, humans are generally still a medium for collecting data. Artificial intelligence and advances in automation will provide the missing benefits for big data in EHS and it’s definitely coming it’s definitely coming. AI and automation has bigger ramifications for work and society in general in whether we should be considering big data projects.

Hannah: Certainly, I mean, I don’t know if anyone in the audience has been keeping up with the topic, but AI is going to be, at the very least, interesting for sure. So, we’ve spoken about a lot this past half an hour. Murray, just to quickly sum up your points, what would be your key take away suggestions for our audience to do and to facilitate a self-sufficient EHS department which you mentioned earlier?

Murray: Oh, let’s go to sum up. EHS is like people. I would say utilize the data you already have and provide your staff with easy, efficient ways of capturing that data, train your staff to use the tools that Andy, for example, demonstrated, and make sure the information generated is pushed out to the various different audiences. And I think that’s quite important. So, you can provide the reporting a meaningful information that’s going on to keep you safe and save lives often with the data and technologies that you most likely already have.

Hannah: Absolutely. I mean, we all knew that the #1 priority is making sure people get home safely at the end of the day. And with the right information, that will be easier to achieve.

We have reached the end of my questions. I can see Murray here is breathing a sigh of relief and is glad to have a break, but it’s going to be a small break because we have had some questions through which we’ll speak about later. But just quickly before we move on to your questions, I’m going to run through a summary just to refresh your memories before you go.

So, our key takeaways today are:

• Big data can be useful and is already being used, but, at this point in time, the majority of EHS departments do not yet have a use for. It will have its day, as Murray said
• Secondly, we should make iterative improvements to capturing and reporting tools and walk before we run. This mean nobody gets left behind
• Invest in staff skills and user-friendly tools. I can’t stress this one enough. They are the ones filling out the forms and working the system to get meaningful information. So, make sure they are equipped and happy
• Finally, consider the whole process – from the moment data is captured, to the moment it is presented to the board for decision making. Reporting shouldn’t be something that’s remembered about at the end. It’s an integral part of any EHS project. So, similarly, you aren’t going to get the information you need if you do a have quality data. Put effort into every part of the process, and the results will be far more beneficial than otherwise

In case anyone is time-constrained, I’d like to take this time to thank you all for joining us. If you’ve had any questions that you’ve not been able to ask, please email Murray or I. Our email addresses are there on the screen now and we’ll be more than happy to take your question, or you can call us for a chat if you’re into a more old-fashioned good old chat.

I think we’ll move on to some questions. We only got time for two or three here. I’ll start with one that I know you will have an answer for – I hope you have an answer for, Murray.

‘We’ve spoken a lot about how big data isn’t right for EHS.’ So we’ve got someone that’s wondering if you know of any successful big data project within EHS.

Murray: That’s a good question. I suppose the one that springs to mind would be Lafarge. Lafarge are a global organization and they provide cement, concrete mixes for the construction industry. You’ll probably be able to find it on the internet; there’s a case study there where they claim to be using big data. From what I can tell, they are using some of the leading metrics to make safety improvements. Arguably, they should be capturing that data any way. So I don’t know enough about it to see whether they’re using much third-party data. So big data is about pulling information from lots of different sources. So maybe they’re pulling data. It could be whether data to look at, you know, if it’s where whether that has how much of an impact that has on slips, trip, and falls for example. But that’s – they certainly refer to that project as a big data project. So that would be one. I think if you go on to the web, you’d be able to find it.

Hannah: Yeah, they’ll be able to find it. Okay, we’ll just have two more questions. We’ve got someone wondering about benchmarking against some companies within your industry. What are your thoughts on that, Murray? Do you think that’s a good way to use data?

Murray: Absolutely. I think as time progresses and we see companies adopt big data, it will come to the fore but yeah, absolutely. Being able to benchmark your business against the secular I think is going to be quite important. So, the likes of OSHA are capturing incident information. The likes of Microsoft, they’re producing various different data sets which are effectively free for organizations to download.

It’s still in its infancy at the moment, but we will see that. And for those software organizations that have cloud-based solutions, I guess if they’re not really doing it, they probably will offer that sort of information where you can access anonymized data. If they’re not, then they should be doing it.

Hannah: Yeah, I guess as well some companies, some of the larger companies, do actually release their information as part of, I reckon, a corporate social responsibility, so We’re going to see that become a lot more readily available.

One more question, I do want to ask you because I think it’s quite an interesting one. ‘Murray, do you have any tips or thoughts on – actually the collection of the data, say, for example in starting in one area and perhaps some suggestions like mobile?’

Murray: Certainly, mobile is one way of collecting data, and it’s one of the things that we offer is a mobile phone that can be accessed not only by staff but also members of the public. So, Andy touched on close calls and positive intervention. So, yes, I would say that is a good – using mobile technology is a good way of capturing that information, particularly if you can push it out to a wider audience.

So, particularly with something like close calls and positive interventions. The more of these that you can pull in, the safer you can make things because you can analyze that data and effectively predict where accidents and instances are likely to occur and change of processes to manage that. So, absolutely, mobile technology is very empowering from that front. I think I’ve answered the question in full.

In terms of starting with one area, yeah, I think, in general, you’ll want to test – do some initial testing, particularly if you’re looking at a global implementation. My view is always if you can start and deliver something, it’s cost effective for a particular area and get some success, and quickly get all that out to a wider audience that’s a good way to go.

Hannah: So, don’t under estimate testing. Very important.

Murray: Absolutely no. No. You know, I think the danger is that you have to be realistic about what you’re going to get from the data.

Hannah: Okay. Well, thank you very much, Murray. I think that answers the question. That’s all we have time for today. I’m aware that we’ve been going for 40 minutes now. So, I’d like to thank our audience again for attending and also thank Murray for his contribution. I hope everyone has some food for thoughts and that you’ll contact us if you’d to talk about this subject further. And similarly, Andy showed you just a little snippet of our software earlier, so if you’re interested in seeing more of that, we’re more than happy to speak to you.

As I said earlier, our email addresses and our phone number is on screen now. If you’ve submitted a question we’ve not have time for, Murray will email you his response. You can get a lovely, tailored response from Murray. So, that’s all from us. Back to you in the studio, Jamie.

Jamie: Awesome. Okay, well, thank you. Thank you, Hannah, Murray, Andy and Steve. We’d also like to thank everyone for attending today’s webinar. Again, I see there were few questions that we didn’t get to, so Murray will be following up with everybody directly. And once again, we will be sending out the link to the recording and the presentation slides in a couple of days.

So, with that, we want to thank everybody. Take care, stay safe and have a wonderful evening or a wonderful day. Thank you.