 So, before we continue, I would like to just say thank you very much to Slim for joining us. I know it's very, very short notice and so, for financial reporting, do you do a lot of that? I mean, I'm sure there's no gain saying that you do so much of financial reporting. How has it been for you and looking at what you've seen so far? Yeah. Well, yeah, David, I need to say that, yes, Appreciate does do a lot of financial reporting. We pride ourselves with being the bridge between financial service market operators as well as those who are investors in the market. And that requires us to continuously on a daily basis process and interpret data. That's apart from the fact that we also work with national bureau of statistics on national data. But it means, yes, there's a ton of data that we have to work with. What I've seen today has been impressive. I must say that one of the reasons I'm saying that is that as analysts in the past, some of the things we've had to grapple with is to use a number of Excel functions. I mean, we're talking about if functions, we're talking about VLOOKUP, we're talking about XLOOKUP, we're talking about nested functions. I mean, you need to learn a whole lot of applications for Excel to be able to get around presenting data in a manner that is easy for your audience to understand, as well as in a manner that is sufficiently usable, if I could use that expression, sufficiently usable that you can make predictions. Now if you see what has been presented so far, the variance analysis is quite easy and intuitive. You can see that, take the NPLs, for example, you did a presentation that showed NPLs for what we call FUGAS, that's FBNH, UBA, GTB, Access Bank, Zenith. Now it was very easy for me to be able to compare the banks in one, just one slide or in just one perspective. I could easily do my analysis, I could think about it. The good thing also was that there was comments there already, it already came out with its own commentaries, but if I wasn't satisfied with that and I needed to drill down, the illustrations, the charts were sufficiently powerful, let me put it in that way, sufficiently powerful to enable me to do my analysis quickly, and that's one of the key things I think Prussia has had some challenge with, how quick can we turn over data and present them in a form that third parties can use, and this seems to have cut short the process of inputting the data, cleaning the data, analyzing the data, interpreting the data for the purposes of our audience, which range of course from investors to lay economists or lay financial analysts and even government officials. So I think it's been a brilliant, it's a brilliant tool. I might say as we go on, I might have some observations because the presenter was talking about green being good, red being bad, for me that's a bit difficult, good and bad are very difficult terms to use when we're using the data. For instance, I'll give you an instance, if you have impairments, impairment caused by green being up, and it appears in green because it's up, you can reverse it, you can reverse it. So those are the kind of things where I said good and bad is a bit of a difficult thing to use but notionally in terms of application, it's a wonderful tool. So let me jump straight into the questions, I know Andre you must have seen, I saw some questions for you Andre, I don't know if you picked on anyone. Yeah, I saw a couple of questions, thank you guys. So there was a quick question, if Zebra BI is available for Tableau, that's an interesting question, at the moment it's not, at the moment it works in Power BI and in Excel, but it might become available for Tableau as well, so not in the near future, but there are some plans about this. And there was a question about how to link data to Zebra BI, so first of all, I must say that Power BI has really excellent data connectivity. So you can connect from Power BI, you can connect to Excel files, CSV files, your transactional databases, your OLAP cubes and data warehouses, I think Power BI has more than 200 different types of data connectors. So it's actually, it's perfectly possible to bring the data into Power BI from practically any source, sometimes you need to transform the data a little bit and then of course you need maybe consultants like, you know, people from David Brown Consulting, sometimes it's easy so you can just, you know, Google how to start with Power BI and you'll see, I mean, to link an Excel file to Power BI and start playing around is quite easy. And then Zebra BI works like a native chart, native visual in Power BI, so it will work with any data that you can bring into Power BI, so it's completely, completely flexible. So if I add to that, so the key thing that you have to understand everybody is the Power BI itself, you have to build the data model. So you build the data model, remember those six steps I said, the accountants go get the data from SAP from QuickBooks from wherever and then they need to clean the data, they put it in Excel, they do some adjustments after the adjustments, they now do some financial reporting, which sometimes they now upload back to SAP. All that work is what we're trying to eliminate with financial reporting made easy. So when we connect to your data sources directly, you build the data model and that's what will build for you. But then when you're visualizing the data, we're saying when you're visualizing it, which is I think the most important bit because that's where your MD sees, that's what the CFO sees, that's what Olamide sees and that's what they show her and everybody else sees those visualizations, right? You should follow a consistent framework. Now what's that consistent framework? The thing is we already know that everybody in finance, in business compares actual to a plan, then has variances to that plan, actual to a time period in the past, like same period last year, same period last month, and then compare the variances. So there should be a standard and that's where we, IBCS comes in, International Business Communication Standards has solved that problem, yeah? And we know it's Germany, mostly a bit of Scandinavian countries that use it, thousands of companies are already using it, but it's an excellent, consistent way to report. So that's where IBCS comes in. We have something for you to become an analyst, an IBCS analyst, we'll show you how you get there. But then we, you have all these rules, right, for IBCS. Do you now need to learn Excel to a high level? No, you don't. You get Zebra BI. Zebra BI already has all those rules pre-built. So all you do is click, click, click and you're fully IBCS compliant and you're speaking the same language. So back to the beginning as you build a data model, connect to all your data sources with don't change your software, whatever it is, SQL, Oracle, database, whatever the database is, we connect to that database, we build a data model. Then we use a consistent standard, so to say, I want to call it standard, but it's consistent framework, right? And that's IBCS. And then we use the consistent way to visualize the data, which is Zebra BI. So that's the solution in a nutshell. So let me quickly jump to Ugo. I don't know if Ugo can tell us some experience. You have more experience than I think, well, I'll talk for myself than me. I think Rob has the most experience here, Rob, sorry for saying that, but Ugo, you can go ahead, please. What's your question? Sorry, David. What's your general experience? And I'm looking for some questions related, I've answered quite a lot of the questions related to Power BI and how they can connect it. So generally, I mean, you work with lots of reports. What is your biggest pain point? And I don't know if you still have the pain point now, and hopefully we've been able to address it. Yeah, I think if you can hear me clearly, what I've seen so far has addressed or should address some of the key issues I've always had with reports. I mean, I pull through loads of financial reports on a weekly basis. I've seen reports that are published on the Nigerian Stock Exchange, or reports globally generally from stocks that are investing outside of Nigeria. So they all have different financial reporting standards, and the US have their own gap, and then you have IFRS here in Nigeria and most of the countries. However, everybody still, as an investor or somebody who looks at financial reports, there are a number of things that you want to look at all the time, and you want to do these things pretty quickly because there are just a lot of them that you have to read and probably analyze and report for people, and you have different kind of consumers. You probably have consumers that are very savvy about financial statements. You have those that are not too savvy, and you have those who just want information that can help them decide on whether to buy, sell, or hold a stock. So some of the things that I've seen here, I took notes of some of them were trends. I think trends are very important. You always want to see a trend, whether it's revenue lines or whether it's profitability lines, even if it's expense lines, you want to see trends. So it could be over three years, typically, over a five-year trend. And I think what I've seen here demonstrates that as well. You also want to show variances. Variances are very important. It could be quarter on quarter, year on year. In Nigeria, for example, when companies report financial statements, they typically give you year on year. But lately, we've been seeing a lot of quarter on quarter reported, but we don't often see that here. And even when it's year on year, for example, if it's six months, half first half of the year versus first half of the previous year, that's what you probably see. But you won't see the second quarter of the year versus the second quarter of the year in the previous year. And that's what you typically see when you're looking at reports abroad. So for example, in the US, they are telling you earnings per share for this quarter, for Microsoft was X amount of dollars, compared to earnings per share for the same period last year. But in Nigeria, it's typically going to be half year. So I think from what I saw here, we have those kind of variances. Now, something else as well is industry benchmark. I saw in one of the presentations here that you can also compare with industry benchmark. Like you mentioned, you know, that of the full gas. So typically when you're looking at, you know, first box performance, you instinctively want to compare with maybe GT band or maybe Zenit band, or whether you're looking at down with this immense revenues, you also look at what Lafarge did and you know, comparative terms would be, you know, in terms of growth numbers, who's going for, you know, perhaps make a lot of these things easier. Maybe all you need to do is just upload and it does all the analysis for you. Fantastic. Excellent. Yeah. Okay, go ahead. Sorry. Sorry. Go ahead. There's some small echo, but anyway, so thanks a lot. I know there's so much to think about, but I just want to jump in. So some more questions. There's a question directly for you, Olamide, is how did you manage on-boarding your team and directors to the knowledge and skill required to effectively use this tool? Any lessons? Ah, okay. Thank you, Desmond, for that question. I think, you know, it was easy because they wanted to learn. How we, the approach we adopted was an agile learning approach such that we gave them access to the tool and allowed them to play with it. So rather than talk to them, they were actually the ones asking us questions. So we all logged in and as, you know, the MD, for instance, when we took him through the tool. So he actually hovered, you know, on some of those metrics that we clicked on those slides and then asked questions. And so from the questions, we're able to then, you know, onboard him as if I could borrow your words on the application. And that also allowed us to take on new ideas, iterations, changes, updates that, you know, he felt might be needed to basically make the experience, you know, better for him. So it was, you know, in a nutshell, it was an agile way of onboarding them. So they, you know, got access to the tool and then together we then walked them through the application. And, you know, it's always easier when people want to learn. It just makes, you know, the experience, you know, from the teacher and the students, you know, a more compatible one. So I hope that helps. I just learned it. I can't hear you, David. I'm muted. Thank you. You have a very cool team. I can say that it's so easy and they all want to learn. So I want to go to Rolf because Rolf has done this for Rolf 500 companies, 1000 companies. Rolf has the most experience in trying to get people to follow this framework. So Rolf, could you give us some of your wisdom when it comes to getting people to do this stuff? You're muted. Can you hear me now? I can hear you. That's a good question. I mean, well, I think it's easier now than when I started this in, I think it was in 2004 or 515, 16 years ago, a long time ago. It was very difficult that there was only Excel and it was very tricky to make Excel do what we need. I mean, to do this, what Andre showed us with Zebra is difficult to do with Excel, pure Excel. But then in the meantime, there are products like Zebra and they are following more or less 100% automatically in these rules. So, I mean, the tools question has been solved, I think that's one question. The second one is we need a concept. I mean, I think you need a concept. And here we offer from IBCS, we offer design manuals. So you can really download examples of how to do this, examples, all kinds of examples and adapt them to your needs because an airport or a hospital or let's say a public organization, we have police companies, we have airlines, all kinds of companies using this, you have to adapt them to your needs. That's the second thing. The third thing that's probably the most important one is we need really top management attention. We need top management decision from the sea level. So they really say, well, we like this idea and then it goes the right direction. It takes, of course, not only a weekend, it might take a couple of years or even longer. We have companies, they've been on this trip now for five, six, seven years and they're still developed. There are some companies at least there's one very international, well-known consumer good company, they're using this in 140 different countries, 4,000 people have been trained. It took them five, six years. And so now the question is how do we convince top management? That's maybe the decision and you have to get to them, you have to have the chance to show it. And the best way is to really show them, this is one solution as you do it today and why not do it this way and give them the choice and then ask them, what do you want to have? Like this SAP example that I showed you. I remember this was 10 years ago, I had a presentation for this CFO of SAP and Waldorf's Germany, the CFO. And he wasn't this presentation after one hour, he said, well, I agree, that's a better way. We go for this way. And so SAP internally is using quite a lot of these rules for the internal reporting. And so that's how it should start to go to the C level and get this decision like there are many, many companies who did this and how do you convince these guys? I mean, you show them this is how we do it today and this how you could do it, what do you want to have? If you do a good job as being a consultant, hey, well, follow your ideas and then they take the tool and take the concept and off we go. It's not easy. I mean, it takes time. It takes effort. It takes money. All kinds of great requisitions. But after all, when we talk to these people using these rules, they cannot think how it was before without these rules. I mean, it is much easier to understand every problem. Well, David, this is my opinion. I think there might be 2,000, 4,000 companies doing it more or less. It's not always the 100% solution. Sometimes corporate design is a problem because these corporate design people come and say, well, red is our corporate color and actually has to be red. I mean, then we have a problem because actually it's not red. I mean, actually it's solid, dark, solid. Yes. So anyway, so it gets a lot of getting people to understand and use these rules. All right. So as a question, maybe Andrea could take this, right? In foreign exchange business, I guess, financial services provide a company dashboard. What are the recommended items to showcase? I have an echo. I don't know if you can hear my hand. So was this a question for me? Yes, Andrea. It's a general question. Okay. In foreign exchange, financial services provide a company dashboard. What are the recommended items to showcase? Oh, that's hard to say right now for me exactly. I would need to see the data to get the feeling, you know, I mean, as a general, you need to identify one of the key KPIs, key measures that you want to show and then also for each KPIs, figure out what is the best benchmark to show it again. Is it the plan? Is it the benchmark or something like that? Sometimes it's, you know, previous years value or something like that. So once you have this, of course, with the audience in mind, who is this for? Sorry, if it would be a KPI relevant for the audience. Once you have this and you think about what is the best explanation if this comparison would or may not. Right. So what is the next level of data? The best way in the barrier is the contribution of certain elements. Then you put those elements around it. So that's how you slowly build the dashboard. So, you know, you can follow some maybe general rules, dashboards, which is you put the KPI on top left position of your page. This is number one. Your KPI, do the comparisons one, maybe table and show the various. Start with this little element. Think about the KPI and think about what will be the change of the variance on which KPI. What is the next element that will best explain this variance? Is it the breakdown by, you know, by a business unit, by the market, by, you know, companies who know what's the next level? Then you put this one next. Then you try to make sure that the scaling. So the visual comparison works across those elements because now you have maybe two charts or a chart and a table. And then you slowly build your way around it. And then you work with your end audience, right? So you try to get the feedback. You present the solution. You talk to people. They will say, okay, we like this or maybe we would need this. So you include your actual users as maybe you have some power users or some decision makers who would take time to actually talk to you, you know, and then you incorporate that, that feedback into, into the dashboard. And then in a few iterations, hopefully, you know, you get to, to, to a product that will satisfy your users and you roll it out. It's a more general thing. Yes. The key thing again, I think trial and error, some people are afraid to do trial and error. I love trial and error. Just, just show many things until you get to the right answer, right? Because you need to try so many ways and so many, so many things. Yeah. Yeah. You need to start with the first, first thing. I mean, you need to envision it. If you will, if you will just go with a blank page to a user and say, okay, we can do anything, but you need to say to me, what, what do you want? But that's, that's usually a hard approach that, that does not provide results. You know, so typically you need to think about the user first, come up with a draft. You know, take a look at the existing reports that are there, study what are the KPIs inside and so on, do your analysis and then do an initial redesign, initially make with your best, you know, guess what would be a good thing and follow the IBCS rules like, you know, turn the charts around. So make sure that you follow the recommendations that Rolf was mentioning, you know, the, if it's time series, you know, the charts have a horizontal axis, if it's vertical. So if you follow a little bit of those rules, they will help you with the charts, but then still you need to figure out what's the best, you know, what to put on the page, try to do something meaningful in advance and then go with that to get feedback to the end users. Yeah, great, great, great. I would like to bring in David. Sorry guys to interrupt you, but unfortunately now it's past five and I need to switch to another call. So I'm really sorry, I enjoyed the session, but I will just simply need to switch to another, another event now. Thanks a lot, Andre. Thank you so much for having me. Look forward to seeing you again soon. Thank you very much. Thank you everybody. Enjoy the event. Bye. Bye. Yes. Hi, Alamede. Hey, hi David. I just wanted to quickly add to what Andrea said in terms of specifics from financial services perspective, you know, working in the financial services space myself. As Andrea rightly said, it's down to the audience. What is the need of the business at that particular period in time? You know, is it a tracking non-financial statistics such as customer growth, productivity, etc. Or are they tracking profitability? And it's not one size fits all because it also depends on the nature of the business. So for instance, if you are running an asset management business and then financial services, AUM is very key to you because that is what drives your performance in whole. And if you're running a corporate banking department, you know, you want to know what the size of your loan, of your loan book is and your NPLs and also ratios because as I said when I spoke earlier, numbers on their own don't tell a story. So it all depends on the audience, who your target audience is. It depends on where you are in the organization, what you're trying to bring to the fore of the users of the dashboard because that would then inform what financial data you actually put on your dashboard so that there's visibility for all to know that this is what we're tracking as an organization. So I just wanted to add that to what Andrea said. Thank you. All right, super. Thank you very much for that. And I know, Taslim, you've done so much analysis and have so much experience around this as well. There are quite a couple of questions and also for Ugo, I think you were asking whether Kejia Electric has already started using these visualizations. I guess some people are tracking you, Ugo. Yeah, good question. So it's something that we're considering. I think I spoke with you about this over the weekend. I made it very clear that if there's one, I've gone through reports from a lot of sectors. And one sector, you guys won't believe it. That has enormous data is the power sector, particularly distribution side. The data they have is crazy. And this data requires that you have a lot of comparative analysis, a lot of trend analysis. So when I saw this, I kind of thought that, okay, this matches the solution to some of the challenges that they have there. And the department that I oversee also covers the business intelligence department of the organization. So yes, this is something that we're considering. And I won't definitely share more insights as we move on. Okay, so more questions then. What we'll do is we'll, I know we had a break. So we're going to add five more minutes to the Q&A. And then we're going to do our draw. So for those that don't have the draw, I think there's a link, it would share the link that you can click to win those prizes. Very nice juicy prizes. So please make sure you do that. And let's see if there are any more questions. Hi, Shell. Do you have some questions for us? Yeah, muted, Shell. Yeah, muted. Sorry. Okay. Thank you, David. I think we've covered a significant number of the questions, but let me just check if there are more questions. Okay, this question. There's a question for Olamide here. Can top management who are not accounting or numbers inclined understand the chats? Hello, Olamide. Did you hear? Okay. Thank you. Yes, I did. I did. Definitely. As demonstrated earlier in the presentation, they're actually very easy to follow. There's nothing new about the charts in terms of, you know, their pie charts, bar charts, scatter graphs, those kind of charts. So it's very user-friendly. I think that's what we found at FBN Quest Group. They're easy to understand and they're actually quite intuitive in the sense that, as I said earlier, if you hover on them, you can actually drill down to understand what's actually behind the numbers on the chart. So they're very easy to follow through and they're very easy for non-finance professionals to also understand and grasp. Thanks for that. We have another question and I think this will be directed. I'm not sure if this will be to Olamide or to David, but it says, why is it FBN Quest that has kicked in? What do you consider as the reluctance in adoption by potential users? I think that will be to David Brown. Okay. Well, maybe I'll say we're biased a bit because FBN Quest are one of our strongest clients and, you know, when you have a very strong client and you have a good idea, you probably just share it with your client and say it like a friend, look at this wonderful thing. Would you guys be interested in it? So I think it's as simple as that, really. It's not a secret, so to say. I think I got introduced to IBCS when I went to Austria about five, four, five years ago, four years ago. So when I went to give a talk in Austria about actually this financial reporting, we didn't call it made easy then, but financial reporting and how you can automate all your reports. So in that conference, I met Andre, who was in the audience and he was like, oh, I have this EbroPI, this interesting visualization. So that's how the relationship started and researching on IBCS and seeing they speak the same language that we've been trying to speak for a very long time. So it's interesting. So then, of course, we now put the package together and we, of course, went to our friends, friends and family. But I don't know, Olamide, what do you think? I couldn't agree more. Yeah, for us, we try and put ourselves in the forefront of new innovation. We see ourselves as trailblazers and an organization that wants to be at the forefront of technology that is right-sized technology. And for us, this was a very easy app to embrace. It's, you know, when opportunity mispreparedness. So this was, we were ready for this and then David just had the right solution for us. So it was a case of two needs were met if I could say that simply. But as an organization, we see ourselves as trailblazers. Financial reporting is very important to us. It's important to every organization if I may say so because you cannot make any meaningful decision if you don't understand the drivers of your numbers because I keep repeating numbers by themselves don't say any story, which is why when we're looking at the pairs, analysis, you know, year-on-year month-on-month quarter-on-quarter actual versus budget, those are things that every decision-maker needs to be able to not just understand what's happened in the past but also to be able to plan for the future. And that's what we like to do at FBN Quest. So that was why this marriage with David Consulti was quite an easy one to forge. Thank you. Thank you Olamide. FBN Quest family and friends, a lot of people say businesses growing family and friends support you. So we thank FBN Quest for the support thus far. One more question, that question once again will be directed to David. Earlier in the demo, it shows comparison in the chats and where those information are available in the app or do we have to manually enter into the app? Okay, so what happens is when you're building a tool you have the data, obviously you have to get the data. And I can say for the demo that we had, bring Teslim in here because the data came from Portia. So Portia has a lot of data and then we have this analytics skill and it was another marriage that kind of works, right? So we got that data already. So the data is there. But the data is just there. The data is in Excel, it's in all sorts of places. You need to sit down and build a data model, right? So how does this data come in? An important part of the data model, as Ugo mentioned, is when the new data comes, you should just dump it and it works. You shouldn't have to think. You plug into a data source and it's like a pipe. As the pipe is filling out, it just works. So that's what we did. We plugged into the data. We built a data model around it. What are the different tables? How are they talking to each other and everything? We wrote all the formulas that we have for our solution. We have about 70 core formulas, year to date comparisons, week on week, month to go, year to go, all sorts of formulas that any finance person would love. They are all pre-built. So they were all pre-built and then that's how we compared the data. As the data updates, wherever the data is, the reports just update. So there's no manual intervention required. Teslim, I don't know if you want to add to that how you guys work with data and how we're able to show those analytics in very quick time. Yamita, Teslim. Okay. Thank you very much, David. I guess you really said it all. The thing is, one of the challenges we have in Nigeria is access to data, the ability to get good quality data, to be able to scrub the data and to be able to use that data within the context of a financial model or any other kind of model, the economic model, for example. And you're quite right. ProCIA actually sits on a lot of data, especially corporate data, national data. We would love to have, we would raise data too. But that's a story. That's a conversation for another day. But we sit on quite a lot of data. And in the current environment, data is actually key. Data to drive different kinds of processes. So what the marriage you're talking about is I think a marriage made in heaven. You've got the tools to interpret data and we've got access to the data, timely data, data that is basically good quality. When I say good quality, I mean the source is reliable. Reliability of data is very important. It's very paramount. We hear people ban all kinds of statistics around and most often I'm not. Those statistics are quite questionable when you drill down. But thankfully we have access to those data and thankfully also we have a company like the Brown Consulting that has a framework and model which can quickly use the data because I'm happy that you talked about time because for us at ProCIA, that's very important. The timeliness of processing data. And I must say it's not just because we have a relationship. You've done a fantastic job of being able to process the huge amount of data we gave you within such a period of time. And I think all institutions will also benefit from this marvelous service that you're rendering. Thanks so much, Mr. Taslim Shita Bey. Thank you. We really appreciate that. So just to close this session, I'm sure that if we all have that way, we'll probably want to stay on and have everyone sharing their experience. There's so many questions. One of the things we'll do is we'll collate all the questions and try to have answers to all of them and the answers will be shared with all of everyone who has attended. I want to say thank you once again to our panelists and in closing we'll just give each person at least just one minute to give their closing remarks. So Olamide, I'll start with you. So I take it as ladies first, right? I just want to say it's a brilliant work being done here by David Brown and team in collaboration with Zebra and IBCS. Financial reporting is not the same as it used to be 20 odd years ago. It's now about analytics, about understanding what is driving those data. And I think that with this financial reporting made easy. Users of financial statements and financial management reporting would be able to make more real-time, more consistent decisions based on the data that they've got access to. So well done to David and his team and I hope that more organization will embrace this app as we go forward. Thank you. So Olamide, for that, Rolf, please your closing remarks. I think you're muted, Rolf. Sorry, I muted. I think this was the first large African meeting at all. I've been in Australia. We have given presentations all over the United States and in Asia and of course in Europe where we come from. But this is the first big event to my understanding in Africa. And I wish and I hope that this will be a start for IBCS in Africa with the help of Zebra and David and his team. And I'm looking forward to what's going to happen all over there in Africa. Good luck. Thank you, Rolf. Sorry, I have to run. I have an appointment right now. So I have to run. I say goodbye and see you. Thank you once again. We really appreciate your presence here. Sorry, over to Go, your closing remarks. Yeah, muted, I think. Go, we can hear you. You're muted. Sorry about that. Still getting used to this. So like I always say, data visualization is one of the tools that you use to showcase that power. So I'm going to have to thank, you know, the ground consultant and my very good friend that you brought for coming up with this platform bringing this to Africa is very important. For those of us who use data a lot, we thank you so much. We hope that, you know, so our boss can start to use it for all to help me be, you know, be an advocate like a Lamborghini, something soon. So thank you very much for having me and please, at any time, feel free to always reach out to me if you have questions. And that is to the attendees as well. Thank you so much. Okay, thank you so much, Ugo. Please don't leave yet. We still have the offer. We still have the offer up. Please don't leave yet. Taslim, please, your closing remarks. Okay. Thank you very much. Can I do the offer first before closing remarks? The offer was so enticing. My mind was really on the offer. Right. Okay. Please go ahead. Not the most serious notes. I want to say one of the things we say in pre-share is that in God we trust, every other thing is data. And so data is critical for organizations that intend to write the crest of the technology tsunami that we're about to face, or as a matter of fact, that we're already facing. Right? So data is critical. How that data is presented, how it is analyzed, and how it is used with separate width from shaft in the corporate world going forward. And then on the last note, I would like to say that nobody crosses an ocean by looking at the water. If you want to cross the ocean, you've got to dip your feet in it. So I would encourage those who have watched this session to definitely, definitely collaborate with the brand consulting and use data in a way that will elevate their business potentials. So thank you very much for having me. It's been a pleasure being on this program. Thank you, Taslim. No one crosses the ocean except by... Sorry, I didn't get that. Let me paraphrase. You can only cross the ocean except you dip your feet in it. So now, over to you, David. I'll hand over to you to give you your closing remarks on this session. And then you'll also help us take the offer. The offer everyone, including Taslim, wants to participate in. Okay, over to you, David. Thank you. Thank you, Sherwin. Thank you very much. Thanks, everybody. And thanks so much for honoring our invitation to come and speak. Someone was asking me that, is this only financial? Why are you guys saying financial? We do other things too. We do analysis of surveys. We do analysis of this. So I got many comments directly that why financial? I said, well, that's where the money is, but I'm just kidding. And I said... I said, well, the thing is this. It's not just about financial. It's about reporting in general. But the thing that we report most in business is numbers, financial numbers. And nobody can start or finish anything without finance. So even your survey data is tied to finance because at the end of the day, that data is going to inform certain financial decisions that are going to happen in the organization. So, yes, all data is open. It's open to all data. And our partner, Zebra B.I., IBCS, we're really glad to have found them. And again, it's important that we kind of broaden our horizon, really. There are so many people doing excellent things worldwide. And I think the pandemic has taught us one thing, as in we've kind of seen more people in the pandemic than we have physically. I don't speak for myself because I just see them online. I mean, people haven't talked to in years. Let's just have a quick zoom. Since everyone has zoom now, since I'm a Microsoft partner, I would say Teams as well. So, but Zoom. So, you see, there is so much happening. And I'm so glad that we could bring this to the market. And we have partners like Narametrix, FBN Quest to thank. And we really thank you very much for partnering with us on this. And we want to basically almost have a movement where we actually use data to actually inform our decisions so we can make better data driven decisions in all our businesses. I think it will move the country forward and we'll be able to talk facts, not fiction. Thank you very much. So, I will now jump into the draw. And I guess you are going to do the draw with us. So, what I'll do is because unfortunately we lost the other link. So, only we had at a point almost 700 people on this session. We have 282 here. So, I'm going to share a link to everybody. I'm giving you guys 20 seconds to fill the link. It's just your name, your email, your phone number, your company. You have to fill your company. So, these are corporate gifts, right? So, fill in the, I've just pasted a link. I'm going to make sure I put it as a sticky. So, I'm going to put a sticky link so that you all see the link. You're just supposed to fill a form and we're going to do the draw right there after you fill this form. Just three things you're filling in. Let me even click the link and share it on my screen as well. Let me do that. Okay. We can see it building up as we fill it. Wow. You guys are fast. 35 responses already. Interesting. So, while we're filling it, I'll tell you about the prices. So, let me share my screen as it's filling up. Okay. Tell me if you can see my screen. There's Microsoft Forms filling up. So, we're going to stop it at a certain point because I'm going to download this Excel file and we'll do a quick draw. There are three prices to be won. The first price, oh well, the first price really is a $5,000 worth detailed. We're going to do a completely detailed assessment of the organization. Yeah. Top to bottom detailed assessment of the organization about the financial reporting of the organization and how you can leverage this tool. So, typically it's part of our enterprise products. It's part of the enterprise products where we just pull that out and give us $5,000. That's the grand price. The runner up price, we're going to get somebody to win a course. So, there's going to be a course, a live training we have for Power BI. I think I'll put that up on the screen so you can see it. We have training. This is Office Training Hub. This is our online training platform. We're going to the second runner up. I don't know how these things work. The almost, the one that almost won the grand price would win our advanced financial modeler, not financial modeler, more reporting and analytics of Power BI. Yeah, this one. We're going to win this course for somebody, somebody in your organization, $240,000. Yeah. And then we're also going to have somebody win a bundle. There's a course we have for Excel. We're kind of known for Excel training. So, we're going to win this comprehensive Excel bundle. Right? So, this is the first draw we're going to do. Comprehensive Excel bundle, $134,000. Someone's going to win this. There are three courses in it. Excel Fundamentals for Analysts. You have your reporting, automation with pivot tables, charts on Excel. They have report automation in modern Excel. In fact, this report automation in modern Excel shows a lot of our methodologies on how we build these things. So, it's quite useful. So, you win all these three courses, which is the bundle called the Comprehensive Excel Bundle. So, this is number one. This is what we're winning first. Who is winning this? So, I think I'm going to stop the entries now. So, if you haven't filled it, let me give you 171 people have filled. So, I'm just going to count to 10 seconds, and then I stop it and download the Excel. 10, 9, 8, 7. Okay. See, somebody just filled it. 6, 5, 4, 3, 2, time up. Time up. So, 172 people. Oh, see, 174. You just gotten snuck in there. That's good. 76. Why do people like last minute? Tell me. I don't know. Last minute, last minute. Okay. So, I'm downloading now. Sorry. I'm just downloading. So, I'm downloading the Excel. So, I think we're going to go, I'm just going to go from the pictures now. So, Ugo, you're going to go first. You're going to pick the winner for the first one. It's calamity that's picking the $5,000 winner. Right. I don't know if you guys feel, can you guys win if your names come up? Do we say no? You don't, you don't win it. Okay. We can't see. Yeah. Okay. So, I'm opening the Excel. Yeah. So, let's see. These are the names coming up. Great. So, again, so these are all the data. You know, we love data, right? So, data contains, this data right now contains, I think, 170 something. Let me see. 177. Right. So, this is how we're going to do it. It's almost like monopoly, right? We're going to, we're going to throw a dice. Yeah, we're going to throw a dice. So, let me do a random number generator. Just bear with me. I'm going to do a random number generator between one and, I think, 177, right? Is that what we saw? 177. Let me just confirm. Somebody, I think it's 177. Let's check. Yeah, 177. So, I'm doing a random number generator. And let me just create a shape here so that we can see it very clearly. There's no ambiguity. Okay. Right. Now, this shape is going to be 100. So, we're going to do that. Now, this shape will be where the number is equals to this random number generator. And then I can increase the size of this. I'm sure people will say this guy likes Excel too much. Yes. Yes, I know. I like Excel too much. So, so, let's see. Let's increase the size of the font to a 72 or something. Right. Okay. So, what's going to happen is we are going to just who is going to like do it three times. So, first try, like this is first try. If I type anything, the number changes. So, this try one, then try two, and then try three. And then the third try is a person that wins. Okay. The third try is a person that wins. In fact, I can get the person's name that wins here so we can actually see the name directly. Let me just, I like this. Just do that with a little Excel magic. So, I'm matching, I will just match the row, which is this. Yeah. That's it. And for close, close. Right. Yes. So, this is the name. Unfortunately, sorry, if this is your name, I'm sorry, I haven't won. It's just your name came up. So, this number 76 on the list. So, Ugo, are you ready? So, Ugo, when you're ready, tell me, I'll go once twice and then three times the winner. All right. I'm ready. Go ahead. Tell me, one, is it? You tell me, I'll go one. I will refresh. Okay. Okay. So, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, I'm going to say, So Dick Ganyu, so Dick Ganyu, who is there? So Dick Ganyu, if you're there, can you type in the chat, are you here? So Dick Ganyu, you're the winner for, this is your grand prize, 134,550. Someone is picking your name now and giving you access to that course immediately. So you're getting your prize straight up. There's no, you don't need to come to our office or something like that. So Dick, type in the chat, just to be sure you're here. Cause if you're not here, someone else is gonna win it. Ah, correct. So Dick, hi. Congratulations, Dick. Congratulations, congrats, Dick. Congrats, congrats, congrats. Super. Okay, now. So Teslim is going to do the draw for the second prize. The second prize is the reporting analytics with Power BI virtual training, five week course, six sessions. You will learn everything about data modeling and how you build stuff like this, right? So it's 140,005 weeks. I think the next course starts in 26 days. You can see the tracker. The next course starts in 26 days. So who is winning this course? Who is winning this? Teslim, you can give me a one, two, three. Not now, right? So it gets that one, two, three. I'll go. Oh, I can't hear you. We can't hear you. Oh, that was a bit of a slight of the hand. Just in case it was me. Yeah. I'll give you a one. One, okay. Can I give you a two? Two. Sorry, Oluwa Shagun, sorry. Then. Um, can I give you my name? Oh, seriously? Let me give you a three. Three. Let me give you a three. The winner is Hamzat Larry Abdul-Lai. Hamzat Larry Abdul-Lai. Congratulations. Congratulations. Congratulations. Hamzat Larry Abdul-Lai. Can you put your chats in the chat? Let's know that you are there. Hamzat Larry Abdul-Lai. You are the one that wins this. You are winning this course in 26 days. You are starting this course. It's a five week program. Hamzat, are you there? Can't see any Hamzat here. I need to see Hamzat, Hamzat on the chat. Hamzat Larry, identify yourself. Hamzat, Larry Hamzat. Hi, very good. Well done. Congratulations Hamzat. Nice, nice. So that is the, how much is that? It's about $800. Now the grand prize, this is $5,000. So this $5,000 is part of our enterprise. This is our enterprise. So these are the products, really. We didn't even talk much about the products but this is financial reporting made easy. We have the proof of concept. So typically a client would do a proof of concept. You buy the proof of concept. But the enterprise, the enterprise one, you would have to call us because you have a load of things to do depending on how large your organization is. We're transforming the entire financial reporting in your organization. So we'd have to assess it. And part of that assessment is a detailed enterprise assessment of your current state. So that's the $5,000 worth. Proof of concept is $20,000. The self-service is just coming soon. It's $15,000 to be able to build the whole thing out yourself. So you're winning the under enterprise, you're winning the comprehensive assessment for your organization. This is not an individual thing for your organization. So grand prize, Olamide is the one going through with this. And so tell me when you're ready. Ready. Okay. One. One. Don, sorry, John. Okay. Sorry, John. Two. Two. If I lower, sorry. Okay. Sorry. Three. Three. And three is... Huh. Even in capital. He wrote his name in capital letters. Angela or Lua or Yeji. This one we need to bring you on board, please. So this one, please. Ask to, there's a speak button. Click on the speak button to come on so you can talk to us this. So Oye Deji, Oye Deji. Let me copy and paste specials so we don't miss your name. Thank you, Chris. Can you come in? Can you come in? And you should also ask to speak. Let me see what company you are in. Let me see what company you are in. Let's look for you on the list actually. So we know that it's you. So I'll look for you on this list. So we'll just get you. Okay. So you are credit direct. In fact, our clients, wonderful. Yes, credit direct. You must want this for your organization. $5,000, right. Credit direct limited. Congratulations, congratulations. Are you here? I want you to join us so that we know you're here. Have you confirmed? So just ask to speak. Ask to speak, ask to speak. So let me see if I can make you a, can I? You ask to speak first. You have to ask to speak, then I'll bring you in. Let me invite you to speak. Congratulations, congrats. You see, and it's all because of Alamedi. She's just got you to be very lucky somehow. So I don't know. That's how it is. Nice. Well done. And of course the other prices, the excellent prices. Thank you very much for winning for those that won. Right. And so are you here now? Let me keep you in. Are you shy? You don't want to talk to us. Yeah, you're in. Good, you're in. You can share your video camera. So Oedegi, how are you? I can see you're in. I'm fine. I'm fine. Thank you very much. Good, good, good. Do you want to share your video? Hello. So we can see you. Share your video. Aha, nice. So let me say hi, hi, hi. Let me stop the camera. I'll give you focus mode. This is you. So you have the winner. You just won $5,000 worth of enterprise assessment. Well done. Thank you. Are you in your office right now? Yes, I'm in the office and everybody literally screwed. Nice one, nice one, nice one. And it's all my people. Can you imagine? I'll do. Wonderful. It's random, it's random, very random. Wonderful, wonderful. No, no, no, no, no, no, no, no, no, no, no, no, no, no. No, no, no. No, no, no, no, no, no, no, no. No rigging. So congrats, congrats. Thank you. So we'll be coming to your office to talk to your team and see how we can implement the detailed assessment, comprehensive assessment for your reporting. Well done. Well done. Thank you very much. And I'd like to say so you can stay on, you'll be our guest till we close. I'd like to say big, big, big thank you to all our sponsors and the huge team in D-Bron Consulting in the back end that made this happen. I'd like to say a big thank you to everybody. Thank you very, very much. And thanks to Rolf. He's in Italy. He just traveled from Germany to Italy today but he actually moved his travel earlier so that he can be on the conference on the launch. So thanks a lot to Rolf. Thanks to also Andre. Andre is extremely busy building out that wonderful company as a Brabrii. So he's very busy and we know we couldn't see Olufemi of Uprocia and he's ably represented by Teslin. Thank you so much for coming, sir. Thank you very much. And we also say a big thank you to Ugo. Ugo, thank you so, so much. I know how extremely difficult it is to hold you and keep you for, I don't know, one hour, two hours. What's your charge-out rate? Please let me know how bill. I know it's not cheap. One Bitcoin. One Bitcoin. That's big. That's a lot. It sounds small. Nice, nice. And Olufemi, Dave, thank you so, so, so, so much. Thank you so much for being the very first company to trust in us to bring this service to Bia and to Nigeria. So you can never change. First can never change. You're the first and you're the first. So you're the first to implement this. So in the next five years when we do this again we'll bring you and say, oh, you guys don't know anything. Let me teach you. Let me teach you. Exactly. Exactly. So, so, thanks, thanks, thanks a lot. And big thank you to the Debron Consulting team. Everybody in the team, you guys are awesome. Thank you very much for making this happen. And Leshawns, you want something for your company. $5,000, how much is that Naira? That's, that's a lot. Yeah, so good. Thanks everybody. And we'll see you hopefully soon. Thank you. Bye. Thank you everybody. Bye everyone. Thank you. Thank you.