Name: Set a New Standard for Insight with Workday Accounting Center
Uploaded: 2025-11-18T19:16:03.783Z
Duration: 46 min 2 s
Description: Set a New Standard for Insight with Workday Accounting Center

Transcript for "Set a New Standard for Insight with Workday Accounting Center": And then what are our opportunities for growth and expansion? Now for many organizations, answering those questions is really challenging. And in a timely manner, it's almost impossible. And that's because of the following three challenges. So first, it takes too much time, and it's too complex to unify all of the required data. So your IT teams may have limited data prep capabilities and visibility in the errors, which may lead to further downstream errors and additional data processing times. Second, there's hard coded accounting, sometimes referred to as a black box, which really undermines transparency and confidence, and it strips away detail every step of the way into the GL. So by the time it actually ends up there, it's highly summarized and it lacks context. And then, ultimately, the third challenge is around incomplete insight and fragmented reporting. And that's really that the insight is not only come incomplete, but then the reporting tools hinder the ability to act on any findings in a timely manner. So let's break this down a little bit further. If you are on a legacy ERP, you know all too well that you have a fixed accounting key with very limited insights. And as the business evolves, reporting needs change, you're probably finding yourself stuck in an existing structure that can't be changed. Well, that completely changes when you go live on Workday Financial Management. So you gain access to work tags, which are flexible in nature, Then you start unlocking foundational reporting insight, like some of the attributes that you see here on the screen. And then with accounting center and, really, accounting center and prism analytics as the ingestion engine, you are able to access detailed attributes that the GL traditionally does not contain. So here, I've got a hospitality example where you're able to bring in rich transaction information like the meal item, maybe the location, the server, and you have all that insight within a single system of record. So that's really going from almost no insight in a legacy environment or at least a very limited set of insights that can adapt as the business needs to Workday Financial Management where you're able to unlock foundational insight and then getting that granular detail within Workday Accounting Center. So let's take a look at this process as a visual flow. So with the intelligent data core, you can bring in all of your external source data. In in this case, again, we're gonna stay consistent. We're looking at a hospitality example. So that might be a POS system. It might be a hospitality management system, property management system. It's brought in. It's integrated with your existing Workday financial and worker data. That data is transformed. It's enriched with work tags, and accounting creation is automated with a highly configurable rules engine. That rules engine is entirely owned by finance so that your finance teams can make changes quickly with clicks and not code and move at the pace of change that the company needs them to move at. And as we move along the process, now that all that data resides within Workday, it's in the general ledger, you've created what is essentially a single source of truth. And that single source of truth can be used for planning, and it can also be used for various types of reporting and analytics that you see here on the right hand side. Now it's important to mention that what is unique about Workday is that we also provide complete data lineage. So from the highest level report all the way back down to the source, you have complete visibility and transparency from the right side of this flow all the way back down to the left. And we're gonna see this when we show the product in action with a demo in a little bit, and I'm sure Matthew is gonna touch on the importance of this when we get into our fireside chat. And really importantly, this data that makes up the intelligent data core is also used as a foundation for Workday Illuminate AI, helping to really understand the business context, to train the models on the business context, and ultimately transform processes. So in summary, organizations have the ability to integrate high volumes of external data and expand the depth of insight to automate accounting creation and increase confidence with finance own data transformation, and then leverage all of that data as the foundation for analysis to better be able to understand profitability and then to ultimately be able to plan, to forecast, and to drive strategy. So I'm gonna go ahead and break each of these components down. Again, starting with the integration part. So what makes Workday unique when it comes to data integration management is that finance or your finance IT team can easily unite data from any source and blend it with data that resides in Workday. So that financial data, the worker data, and the capabilities that make that possible is being able to, apply joins, group buys, and filter functions to datasets, being able to build computed fields by leveraging a rich function library, and also being able to preview data prep to ensure accuracy and then ultimately to streamline pipelines. So that's a little bit more on the integration component. Now let's move to the data transformation component. And this is really unique because Workday puts finance in the driver's seat when it comes to accounting creation. So accounting center automatically transforms revenue and expense data into detailed accounting that can be summarized and posted into the GL. Then critically, as I've already mentioned, finance has the ability to configure and adapt accounting rules as needed with clicks and not code. And then importantly, on analysis and action. Because we've blended that external data with Workday data, we've transformed it into detail accounting. Finance has more granular insights to better understand performance drivers, to create more accurate forecast, and to influence strategy. And what's unique here is that the object data model in Workday maintains all the rich details from transactions, which enables analysis by pretty much any operational attribute that you can think of and that you can want to analyze on. And then as I've already mentioned, finance can drill down from the highest level summarized report all the way down to the journal source for complete visibility. Now it's also really important that I know that because it's a single source of truth that's been created to support reporting across the entire organization for all stakeholders, it's really critical that all that information, all that data is shared properly with role based security access, and that the right people have access to the right data. So I've spent a few minutes here kind of setting up what accounting center is in the context of the intelligent data core, walking through the flow. I just wanna touch really quickly on where the entire organization sees the value in this. So, again, let let's work from from left to right. IT is freed from continuous request by the business and can focus on innovation and strategic priorities. They don't have to always be, servicing help requests from finance. Accounting gains greater ownership over data transformation, which you see in the middle of this graphic, And FP and A gets insights that allow them to understand drivers in new ways, and they're able to plan at a more granular level. And then, of course, the business partners, are also able to get transparency and visibility into the data that's appropriate for them, which enables your entire organization to be a lot more collaborative. Alright. Now I'm gonna hand it over to Tyler, who is actually gonna show us accounting center in action. So, Tyler, I'm gonna go ahead and stop sharing and hand it over to you. Great. Thanks, Daniel. Hi, all. I'm Tyler Garman. I am a solution consultant here at Workday. That means it's my job to demonstrate the value, that our products can bring to customers and organizations, just like yourself. So today, we're gonna be talking specifically about accounting center. And the example that we're gonna speak through is specific to banks, but know that this entire process can be applied across many different types of source systems, and I'll call that out as we as we work through this. So we are looking, in the system here, we're, looking at a trending income statement for thirteen months. So we can see, you know, the current period, prior period, some variance analysis, and then the trending historical period following that. So let's say maybe we're an accounting manager and we want to analyze our results, and we're interested in understanding, you know, what's driving our net interest income for the period. Here's where we have the ability to drill into our financial statements and analyze those results by any of the dimensions that are captured in the general ledger. So dimensions that you're likely used to to leveraging today, company, account, maybe the period. If we scroll down, we also have access to operational dimensions like cost center, region, product, and then even transactional elements as well. So let's start to investigate really what's driving that net interest income. Maybe we'll take a look at this by the regions within the organization, and continue to pivot that flexibly on something like product. So now in in two clicks, we have a view that's showing us the breakout of net interest income across all of the products within the organization and the regions that that income is being recorded to, and we can continue to to drill into that detail. Now if we drill down into our our bridge loan, for, one of the regions for our central region, these are our summarized journal entries. So this is likely how journals are being recorded in your system today from that front office system. So in our example, we this is a a banking organization. So these are loan transactions that are summarized and posted to the GL. So the level of granularity is, you know, company, ledger currency, account, some additional attribution, and then the amount. And, again, this is likely how you're used to seeing the level of granularity in your system today at that summarized view. So it's difficult to really drill down to and understand what's driving those results without navigating back to that front office system. And this is where Workday's accounting center, really transforms this entire process where with one click, you now have the ability to drill down all the way into the detailed sub ledger. So you're no longer just looking at those summarized journal entries that you're posting to the GL. You're able to access the most granular level of detail that sits behind those summarized journals. So in our example, we can see, on our screen here, everything that's being presented in this view is actually a dimension that's being summarized and posted to the GL. So we see company, account, ledger currency, product, cost center. Again, dimensions that we saw on the previous view. But as we scroll across all the way to the right here, we're also gonna be able to see what we call additional attributes. Now these are attributes that we're bringing in, in this case, from the core banking system. But if this was, you know, a point of sale system, policy and claim system, This is that lowest level of granularity that you're bringing into Workday, and then able to, again, leverage accounting rules to drive how that individual line is being, posted to our GL. So in this case, we're now seeing, you know, individual loan level details. We can see who the customer ID the customer ID is, you know, what state that customer operates in, the industry of that customer, the vintage of that loan, and even the loan officer ID. So this level of attribution, which is is virtually limitless, by the way, you there are customers bringing in hundreds of of, rows, is available. And you can drill down into it directly from a financial statement, but you can also level or leverage all of these attributes to create reporting as well. Before we go ahead and look at some of that reporting around that additional attribution, do also want to call out these columns here at the right hand side. That's that full audit trail and the auditability that exists and control around the accounting center processes, whereby for each individual transactional item, we understand that the batch that that data was brought into the system, the rules that are being applied to that dataset, any mappings that have mapped external elements, from that front office system into Workday's chart of accounts, it's all retained, and you can come in at any point and understand and and audit that. So this gives you comfort that, you know, transactions and data are flowing through Workday completely accurately and in a controlled fashion. So if we now navigate over into a discovery board, here's where we're gonna see the power of having all of that rich data in Workday without having to navigate back to that source system, back to that core banking system in this case. So we're looking at a loan details and accounting dashboard, and here we see our originations performance tab. We can view different pieces of information. We can look at the fees that are being generated on the loans that are originated. What are the averages of those fees over a certain period? Now how many new loans are we originating? What's the credit score of the individuals we're originating loans for? Next to fees and loan origination amounts. So all of this data, that we brought in from that core banking system is now available to us, and we can begin to analyze and visualize what's driving those results without ever having to go back to that core banking system. So maybe we're interested in understanding, you know, our originated balance by product, and our flex term loan jumps out to to us. Here with one click, we can start to drill in and analyze those results. With another click, we're now back in that virtual sub ledger, which contains, you know, all of the information that's being posted to the general ledger, but then all of that additional attribution as well. So we're, able to click and navigate back into that from our our visual and our report. We can also drill into details, that exist behind this, report by dimensions that one, exist within the general ledger, but then of course, all of those virtually limitless additional attributes as well. Again, we're now seeing the ability to analyze our results by credit rating, vintage, industry, customer state. Again, these are dimensions that traditionally aren't available within the ERP. And in Workday, you get the best of both worlds. You're keeping your general ledger clean because you're only recording transactions at that summarized level, but have the ability to still maintain all of that rich attributional detail, and it's available for reporting and analytics like we're seeing in my example. And because we're capturing data at the lowest level possible, that enables the ability to analyze, accounting associated with that low level of granularity. So here we can see all of the accounting associated with an individual loan. We can see attributes like what's the principle of that loan when it was originated, what's the current balance, how much interest has been charged on that loan, And then we can see the details behind the accounting associated with, that loan across different transactions, across the origination, all of the monthly payments, and we can track and analyze that to make sure that, you know, everything is is jiving and looks appropriately, coming over from that that front office system. So accounting center is really powerful in that it enables the ability to ingest data from external sources, map, enrich, transform that data, and then post that date that data and information to the general ledger with the ability to then, of course, analyze that rich attribution, that sit sits behind the GL data. So with that, that's my quick couple of minutes of my accounting center overview, and I'll be handing it back to Daniel and Matthew to to kick us over to our fireside chat. Great. Thanks very much, Tyler. Okay. So we're just waiting on the screen to load here momentarily. Alright. So let's go ahead and move on to, the most exciting part of the presentation today, our conversation with State Employees' Credit Union. Matthew Keith has joined me on stage here. He is the VP of financial data analytics. Matt, if you just wanna give a quick intro. Hey. Thanks, Daniel. Appreciate you, having me join. Yeah. I'm the VP of financial data analytics at SCCU. So we are the reporting and analytics team for the finance group at SCCU. A little bit about SCCU. Let's switch to the next slide here. We are the second largest credit union in the country. We're a member owned cooperative financial institution. We have members worldwide, and how are our locations and our ATMs are only in North Carolina. We've got at least one branch in every county, but our footprint is is only in North Carolina. Right on. So I really wanna spend the bulk of our conversation today talking about the value that you all have gotten and actually going through a few of the use cases so that folks on the call can get a sense of, okay, here's how I can use accounting center in my day to day. But before we get into the use cases, let's go ahead and talk a little bit about the transformation timeline. So maybe my first question here is, what was the legacy environment like, and what really sparked the change to look at accounting center in particular? Sure. Yes. So our legacy accounting system, was one that we had for over thirty years. So definitely tried and true, and it served us well. However, it was, nearing the end of its support, and so we had to find a new system. So we partnered with HR and decided that Workday was really gonna be the best option, for both of our groups. So we implemented Workday, back, I guess, July 2021. And at that time, we were looking at accounting center and very curious about accounting center. Some of the entries that we were, you know, sort of, kind of changing to to to get ready for the Workday implementation, you know, looked like things that would be really good candidates for automation. And, but we we we just weren't quite ready to make the leap into accounting center while we were implementing a new accounting system. So not too much longer. You know, we decided, okay. We've got our got our feet kinda set with, with Workday, and it's it's time to go ahead and take a look at accounting center. And so, October 2022, we started the evaluation. We began architecting and configuring. January '23, we deployed and started building in production, and we went live April 2023 with our first phase of use cases. That was very successful. We got a lot of really good feedback from the business users. You know, automation was was well received. I guess the big. question at the end of that was when are we gonna go into phase two? And so, you know, of course, February, '24, we started phase two. And, and then fast forward to today, you know, we have sort of moved away from that phased project approach and treat accounting center, more as a business as usual activity. So, in order to be more responsive to business needs when new systems come on, or when, you know, there's a need for some automation. You know, we try to make sure that accounting center, it doesn't matter that that we're in some sort of phase, you know, that we've got somebody who can respond and and start building an entry for people. Really interesting, and thank you for sharing that timeline. I hear from a lot of of customers that they're doing this phased approach is is really successful for them. It's gonna get their feet wet, get comfortable, and then start running. Seems like you guys have certainly followed that. In some ways, you led the way on that. Can you walk us through kind of what the initial goals were of that first phase of use cases? And then maybe also touch on what the first phase actually was, which you could see on the screen here. Yeah. Yeah. Absolutely. So in our first phase, you know, I think one of the big goals was to show the value that accounting center could bring to the organization and to just kinda prove that it was a worthwhile investment for us as an organization. We picked some, entries that were, you know, fairly diverse in terms of complexity, in in terms of, you know, the time impact, and the financial impact. Digital services was the first and most obvious choice for us. It was something that when we went through implementation, you know, we found that there was a department, you know, kind of going through this entry after hours. The data wasn't available until the end of the day, and, it was a fairly simplistic entry that we felt, you know, should be something that could be automated. And accounting center kind of gave us that option. Insurance services, ATM and cash services, these were, departments that were doing entries for us, who were also gonna be going through some, system upgrades. And so being able to kinda take some of the burden of these accounting entries off of them and give them a little more time back to work on the upcoming system upgrades was something we felt was important. And then account balancing was something near and dear to us, and and to our GL accountants. You know, we'll talk a bit more about digital services and account balancing going forward. But I think the big thing with phase one, we worked very closely hand in hand with Workday Consultants. The consultants, did the bulk of the heavy lifting there, and and we just kind of watched and learned as much as we could, with the idea that we would be taking much more active roles in the subsequent phases. That's great. And then as you transition to phase two, you were more comfortable on accounting center, so you started going after the bigger chunks. Can you tell us a little bit about what's included in phase Yeah. Absolutely. So phase two, we always kinda had a mind for the idea that, you know, the accounting system, the HR system, those were not the only big system upgrades that we were, looking at. two? And, you know, kind of as I alluded to before, we were, as an organization, really, going through a technological transformation. And, there were a lot of large scale system upgrades that were coming up with MSP loan servicing, our loan servicing system being the biggest, of the upcoming ones at that time. And so we wanted to make sure that we were gonna be able to automate that entry ahead of time, and have it ready for when that system was in place. You know, also gift card daily, charge off accrued insurance, overdraft exception. Some of these were entries that were time consuming, and and that we felt, you know, were simple enough that we could go ahead and start building some of these on our own. So, again, we we worked with Workday consultants, but took a much more active role in phase two. The consultants really were there as advisers and, gave us the opportunity to kinda build out some of these entries ourselves while they oversaw what we were doing and and kinda gave us, you know, best practices and, ideas of what we needed to do. Statistics there, we've got it on phase two, although that's really, one of the things that we will talk about when we, get into, I guess, the business as usual portion. But that's one of the the new entries that we're working on right now. Right on. So a lot of activity, a lot going through accounting center. Let's highlight some of these use cases on the next slide. So starting with the the first one, can you just give us a quick overview of this use case and. then maybe talk through some of the challenges that your team had before going on Accounting Center? So, digital services, you know, again, that was one of the the first ones we identified as being a great candidate for Accounting Center. So there was a department outside of accounting that put this entry together every day. As I mentioned, it was after hours. You know, they would get, the data that they needed to be able to complete the entry right at the end of the day, and they had an entire shift dedicated to someone keying this entry. The person would have to wait for the data to become available. It came from two separate systems, which I guess we'll see a graphic on in in just a bit. And when the data became available, they had to kind of get these system reports and copy and paste the data into Excel spreadsheets, use those spreadsheets to upload entries, and then create another Excel spreadsheet where they copy pasted data in to create a report, giving kind of an idea of what the entry was and then email that report to accounting. And so, you know, lots of opportunity for error, very manual process, and and really, you know, I think needlessly so. And so, you know, naturally, they were very excited to let Workday handle the late shift. Once. we got Accounting Center in place, you know, they were able to completely get rid of that late shift. Everybody was working normal business hours again, and Workday could, in an automated fashion, put that entry together after hours for us. That's great to hear. And as you alluded to, we do have a visual here on the next slide. Do you wanna just talk folks through kind of, again, in a more visual sense? Here's the process before accounting center on the left hand side, and here's how it looks, a lot more simple on the right hand side. Yep. So, this visual put together by my colleague, Deborah McSwain, and, one of the absolute masterminds of our, accounting center process. Deborah's definitely been key to our success. So before here on the left, we see the pre accounting center process where data from the mainframe, came out as a net report. So this is all of our Internet transactions from the day and then an IVR report. So that's our voice response, telephone system transactions. Those reports were generated, and came into, like, an image system. An employee would copy and paste that data into a tool called the JEC, which stands for journal entry converter. And, essentially, that would kind of, in an automated way, spit out an EIB for them. Then they would have to go in and actually, two EIBs. They'd have to go in and, you know, manually upload each EIB, to create the entry. And, you know, we knew accounting center would be able to do a much better job with this. So in the current process, those two same, reports are created by the mainframe, or or or derived from the mainframe, I should say. And then, those files are automatically ingested into accounting center through Prism. You know, they're put together. It now spits out as a single entry, and the entry itself is very similar to, you know, at least in terms of the way it looks and the level of granularity to the entry that we had before. So in the legacy environment, obviously, right, lots of data movement, manual effort, trying to get the right data into a report. Can you tell us a little bit about what we're looking at right here and what challenges a report like this would represent for your Yeah. So this is this is the good? old good old fashioned report that the, team would put together for us. And so in addition to the entry, this is the PDF report that, you know, they would, get an accounting or, excuse me, get an Excel spreadsheet and copy paste the data in here, convert it into a PDF, and then, you know, as you see at the bottom, email as follows to a lot of different departments. You know, somebody would have to do this every day, static report. If you wanted research on it, you probably would have to reach out to IT to get some Completely we could upgrade from this a little bit. And then if we go to the next slide, this is what it looks like today. Yep. So very similar to, oh, I'm sorry, Daniel. Sorry about that. I think there was a lag in the Internet. Can you hear me? Yeah. Yeah. I can hear you. So, yeah, with with the current report, similar to what, Tyler just showed us, you know, we now have the ability to slice and dice into the numbers even though they are, presented in, you know, a very high level of granularity to get totals that you might wanna see. If an employee needs to research what's going on with some of the numbers, they can drill down all the way to the transaction level to find out what's going on. And then if we go ahead and move on to that second use case now, let's talk a little bit about well, actually, hold on a second. Of course, we've got. another screenshot here. Do you wanna talk about this quickly? Yeah. Very important here. So, I mean, when you start your journey, a lot of times, some of your stakeholders may be a little bit nervous about change, maybe a little bit concerned about things being different. So if they really want that PDF, we can get a PDF for them through Workday, and it it looks a lot nicer than the original one. Alright. Right on. Okay. Let's go ahead and move on to to the to the second use case now. I I know that maybe for a second, the Internet might have glitched. It sounds like that was an issue for everybody. Sorry. If you haven't gotten audio back or something like that, just go ahead and refresh, and we should be good to go. So now let's pivot to the second use case, account balancing, kind of the same formula that we went through on the first one. Can you walk through what the, what the use case is and then what the challenges were before accounting center? Yeah. So I I think accounting or excuse me. Account balancing really was a good step forward for us. We knew it would be sort of a bridge between some of the smaller or more simple, journal entries that we started with in phase one, leading us into some of the very large system entries that we were going to be building in phase two. Account balancing was an entry where, we would have five different systems related to, different product types with our organizations. And, we were balancing accounts for, five different organizations. So ours and and then several subsidiary organizations. And it was a very time consuming process since I'm you know, as as I said on the slide, you're talking fifteen work hours per day, spread out among, a number of different employees. If there was error, it was very time consuming to kinda go back and have it and through the words and figure figure out the error that happened after, you know, you know, some things in copy copy had been wrong or or or a number that or that that came through, kinda weird to to look into. It was really hard to find those things. I'm showing you the next slide. Just just kinda take a look at what the data looked like. Or well, okay. Maybe the slide after. But so this slide, is a great example of kinda how we put it together. So, we've got the five different systems here, on the left, and this would be for five different organizations. That's just kind of a a view of one organization. Those systems, again, would flow through until they were ready to be pasted into that journal converter, which would then create an AI meeting that had to be manually uploaded into Workday. The accounting process took all of that, automated it so that, you know, we we were actually taking the same reports. So, we we were kind of under a time of charge. Didn't really have time to deconstruct those reports, just your source data. So we've done in those original source system reports. Yeah. So they see them outsource storage. So we should be studio as a prism, to get that data organized and ready to feed into accounting center. And so and so it feeds in the same way that it fed into the old process, but it it this iconic center is fully automated. That's great. Hey, Matthew. I'm gonna ask that we go off camera for maybe a minute or two. I think our audio is still a little bit scratchy, so we can continue. But let's see if going off camera helps, and then we can check back in a minute. Okay. So let's go ahead and move on. And I think the slide that you had originally wanted to look at as that next slide was the one here with the with what the legacy report looked like. So, around overwhelming data volumes, lack of clarity, manual prep, static report, the fact that any sort of detail required a lot of research. Can you just talk about some of the challenges here with this use case and specifically the report we're looking at? Yes. Yes. Thank you. And, hopefully, the audio has improved. That sounds know. a lot better. Okay. Good. Good. So, yeah, I mean, as you can see, it looks like data just exploded onto the screen. You know, someone would have to go through page after page after page of screens that look exactly like this, and would pull one number at a time. So if you look at the highlighted number on the right, the bigger number there, that was the number they would have to copy and paste into a spreadsheet and then flip to the next page, get the same number, copy paste, and on and on and on. So as you can see, it's super easy to make mistakes. You might grab the wrong line. You know, you could any number of things that could could go wrong. And there's just a lot of data that's here that's being used for a single process. So one of the beauties of accounting center is, you know, we're pulling this data in now. And while, you know, initially, we were using it for one entry, we've been able to kind of utilize some of the additional data on these pages for other entries or other reporting needs. And now that looks something like this. Right? A much more, a a much, while it looks like a summarized report, you can click through. There's a lot more detail. Do you wanna talk a little bit about what we're looking at here? Yeah. Yeah. Absolutely. So so, again, you know, change can be tough for folks. And and so we had some of the stakeholders reach out and say, okay. Well, you know, we don't necessarily wanna, let go of our system reports. What if we wanted to look back and and kinda see what the numbers look like? You know, what if we have concerns about, you know, kinda how it came through? And so we said, well, we can take the, ingestion data, and we can populate something for you that is a lot more concise and summarizes all of that data into, in this example, three tabs instead of, you know, into a 100 pages worth of of data. And then everybody can go in and they can actually drill through to the level of detail that they need. Is that correct? Absolutely. That's right. Right on. Okay. So now, let's go ahead and move on to the third use case that we wanted to cover today, and that was MSP loan servicing. Can you give everybody an overview of that and then the challenges that were associated with Workday Accounting Center? Or sorry. Before. Workday Accounting Center. sure. Right. So yeah. I mean, in in a lot of ways, MSP loan servicing was the big entry we were building towards. So we had a new loan servicing system that was, gonna be coming on. Our old loan servicing entry took someone about four hours a day, to complete the entry, and that was being done by, a loan department. And so, you know, they were certainly, excited about the idea that that we could get this automated and, you know, give them time to actually work on things related to the new load servicing system that they were going to have to be implementing. It you know, again, very, very manual process. The good thing about this was, you know, with accounting center, we were able to anticipate, the new system coming on. And so we were able to get, example files, of what would be coming out of the new loan servicing system very early, and really completed the accounting center entry, I wanna say about three or four months before the loan servicing system ever, you know, was was implemented. And so that gave us three or four months to be able to set up that file, the example files, the test files to feed into Sandbox, each day. And so by the time the loan servicing system was ready to go live, we'd really proven out that accounting center was going to be able to handle those entries. Wow. And then can you speak to some of the outcomes, especially around time savings? I see the time saving here in the bullet. It's pretty big. Can you talk a little bit about that? Yeah. So, I mean, again, four hours a day just in terms of, prep work. However, you know, in in terms of, you know, our GL accounts having to go back and research issues and and find copy paste errors and all the manual errors that we were dealing with before all of that was cut out. So it was, you know, really four hours a day of prep time plus, you know, I guess, you know, it it's hard to estimate the the amount of time it saved us in terms of, checking errors and that sort of thing. And probably also I should mention, you know, before MSP loan servicing, we were in a process, where the accountants would get the entries, and they would post at a very high high level. And and at the end of the month, you know, these these entries are posting daily. At the end of the month, the accountants would then, reverse it out and repost the entry at a more granular level, putting in product and term information. And with MSP Loan Servicing and Accounting Center, it was much easier for us to go ahead and get that very, very granular transaction level detail where we were able to get products, term, all the work tags that were important to us at the beginning, feed them through, and then get them summarized at a level that made it easy for the accountants to work with. And then we have an example of what this looks like today, again, with the data coming through accounting center. Do you wanna touch on this quickly? Yeah. This was a discovery board we put together at implementation to help people monitor what was happening during implementation. As you can see right there at the beginning, we had a very big spike where we were loading in a lot of loans at the very beginning of of the process. And that, you know, kinda tapered off as as things, move forward. So it was really helpful to have that discovery board to kinda watch what was happening each day at the very beginning of that system implementation process. So that's a little bit of an overview on or I guess that's an overview on three of the use cases that we chose to highlight today. We talked about some of the other ones at a high level. Now I'd love to hear what you're working on currently with accounting center and kind of what you have planned over the next year. Can you talk a little bit about that here? Yeah. Absolutely. So, you know, as I mentioned, phase one was really, you know, kind of directed by Workday consultants, and and we were in a a very much a learning phase. Phase two, the consultants kind of oversaw us while we were building out entries, and they were extremely helpful in guiding us through that process. Phase three was really where we have, you know, kind of taken a step forward as an organization. So we have, kind of worked with, all the folks in my department. Each person is now able to build an accounting center batch on their own, and they all have independent accounting center projects that they're working on right now. The organization, has seen the success of of the entries that we've put together. And so we've got, you know, kinda more demand for accounting center batches than we do capacity right now, but, you know, we're we're building those entries as quickly as possible. This, visualization that we've got up right now is, an example of, something that we're we're working on. So we're preparing to transition to a new core banking system. And as a part of that, we're trying to go ahead and get some of these entries uncoupled from the mainframe core banking system that we currently use. So we're not gonna be trying to just do a lift and shift of our entries from the old system to the new. We're gonna try to go ahead and get these entries worked into accounting center, to give us a little more bandwidth when it is time for us to implement that new, banking system. We've got some new entries coming up for Salesforce, Visa rewards, coin sorter. We're working on a product profitability program where we're gonna feed a lot of non financial data into accounting center through statistic accounts. And, that'll give us the ability to, get more insights on the drivers, for product profitability. It'll also give us a lot more opportunity to, do, reporting through pro