Maximize Your Oracle EBS Investment and Revolutionize Your Reporting Solutions

For many organizations, Oracle EBS is the primary source of ERP data, driving strategy, innovation and business operations. Equally shared by these organizations is the challenge of accessing the data from Oracle in a speed and format that enables its users to perform analysis  and generate insights to yield better business outcomes. 

Complex data models, aggregations and data transformations significantly reduce the value organizations can draw from their data. But it doesn’t need to be this way.  In this webinar, Wipro and Incorta, alongside Scientific Games discuss programmatic approaches to deriving the most value out of your Oracle EBS. Hear Scientific Games, ‘Legacy to Incorta’ journey that became a game changer for the organization.

Transcript:

Nick Jewell: Welcome to our webinar today titled maximize your Oracle EBS investment.

Nick Jewell: And revolutionize your reporting solutions it's great to see so many of you joining us live for this one, my name is Nick jewel i'm in quarters senior director of solutions marketing.

Nick Jewell: will be getting everything underway and just a couple of moments in the meantime, let me give you some housekeeping details for today's webinar So if you have any questions during today's presentation.

Nick Jewell: Please type them into the Q amp a box at any time we'll do our best to answer them at the end of today's session so again we'll get started in just under two minutes time, thank you.

Nick Jewell: Fantastic starting to see some attendees fill the zoom call now, which is great again we'll get started in just about one minute here as we wait for a few more folks to join.

Nick Jewell: And again, if you have any questions during the presentation today, please type them into the Q amp a box we'll do our best to answer them at the end of the session

Nick Jewell: Okay, two minutes past the hour let's.

Nick Jewell: get started.

Nick Jewell: Welcome to our webinar today entitled maximize your Oracle EBS investment revolutionize your reporting solutions, and it is great to see so many of you on the call today.

Nick Jewell: My name is Nick jewel i'm in quarters senior director of solutions, marketing and my role today is to be the moderator for our panel Q amp a little bit later on.

Nick Jewell: And i'll also be setting the scene for my guests as well, so, first of all, we have rakesh I Nepal he's the domain head for finance and a great partner we bro.

Nick Jewell: And joining him is our very special guest service catalog challenge from lighten wonder formerly scientific games it's great to have both of you with us today.

Nick Jewell: Now, in today's webinar will be covering the following topics we're going to get underway with a review of the major challenges that Oracle EBS customers face.

Nick Jewell: when trying to unlock their data with analytics and despite modernization efforts, how many reporting challenges still exist within the Oracle ecosystem.

Nick Jewell: Now rakesh will be taking us through his expertise in deploying solutions to these challenges and how we pro is packaged these solutions to fit different customer environments much more efficiently.

Nick Jewell: And then finally we'll hear from three will take us through what revolutionized reporting actually looks like in the business as scientific games and now lighten wonder have delivered a true digital transformation around the EBS environment.

Nick Jewell: Okay, so let's set the scene for today's discussion with a look at the current environment that many Oracle EBS customers, find themselves in, and.

Nick Jewell: The uncomfortable truth is that there are several significant challenges for Oracle EBS customers when it comes to analytics.

Nick Jewell: it's hard to implement analytics over EBS, especially when we need to combine data from multiple business source systems and deliver results quickly.

Nick Jewell: To an audience with ever changing requirements and it's even harder to do this in a cost effective way that actually performs.

Nick Jewell: Now analytics teams often struggle to deal with a mix of legacy and emerging technologies that often get spread out across on premises machines, but also cloud infrastructure.

Nick Jewell: And as you can imagine the costs to pull together analytics from all of this diversity can be prohibitively high because of the skills that are needed.

Nick Jewell: Everything from data engineering database administration data architecture and then of course bi development there's a constant shortage of resources and a growing backlog of business requests.

Nick Jewell: So modernizing your Oracle stack directly doesn't always help either many of the challenges that we faced with legacy Ob IE still persist with oh AC and other components.

Nick Jewell: Teams struggle with getting operational insights in a timely manner the speed of data, moving from EBS to an analytics platform is honestly still stuck in nightly batch mode.

Nick Jewell: And overnight just isn't acceptable when you need to make decisions against a situation that's happening right now.

Nick Jewell: it's also hard to model data from EBS it can be really painful to work with oracle's admin tool we often need specialized resources to build us the traditional star schemas that feed our reporting.

Nick Jewell: Then there's the volumes of data that need to be analyzed oases data retrieval times for large volume data sets.

Nick Jewell: mean that we need db as database administrators to tune performance for better query response and this just means more overhead for an already stretched project and its budget.

Nick Jewell: Then we need to realize that obe oh AC and all these other tools exist in a wider ecosystem they're only part of the overall puzzle that delivers reporting dashboards.

Nick Jewell: And exploratory visual analytics to our user base, and in fact this wider ecosystem can get pretty complex, you often end up with multiple layers in your data architecture.

Nick Jewell: Each of these of course can feature their own tools and technologies, adding to that complexity.

Nick Jewell: let's take the left hand side you move from your source systems, maybe through to a raw data lake maybe you move to a refined data warehouse.

Nick Jewell: And then maybe several different forms of business data, like a star schema or a reporting view.

Nick Jewell: And at this point, we find that our data engineering decisions have often stripped away upwards of 90% of that original data through aggregation or through filtering and we've ended up creating multiple data silos in different departments.

Nick Jewell: Now, instead, what if we could take our business application data from EBS as is ingest it enrich it.

Nick Jewell: And then deliver it so that users can work with all levels of that data, maybe from fundamental transactional levels, all the way upwards as quickly as possible.

Nick Jewell: This means that you get access to operational analytics at that most granular level in the same platform as more traditional reporting, but without the need for reshaping or data modeling in advance.

Nick Jewell: So, within quarter we use a technique called direct data mapping to deliver this incredible query performance against complex systems like Oracle EBS like netsuite or even SAP.

Nick Jewell: Even data sources with billions of rows and hundreds of joined tables behind the scenes ready for analysis inside the quarter platform or inside your favorite bi tool.

Nick Jewell: Rather than having to transform data upfront into these traditional star schemas to drive performance for reporting.

Nick Jewell: Our direct data maps are completely context aware they effectively sidestep the biggest bottleneck in politics, the performance hit that you get from trying to join all those complex tables together.

Nick Jewell: So let's take a quick look at the benefits of doing things just a little differently instant drill Downs from top line kpis down into the transactional records themselves.

Nick Jewell: Sub second rendering of reports incremental loads from operational source systems in minutes, rather than waiting for either overnight batch loads or weeks of data integration for new data sources.

Nick Jewell: And that feeling that, when you take a top line metric let's say net income and you get instant visibility on all your transactions that show complete reconciliation.

Nick Jewell: Against that headline number, rather than trying to find out why your existing Oracle reports are off by 10% maybe because of a faulty or an opaque data pipeline.

Nick Jewell: So let's take a quick look at how one visionary customer revolutionized their own supply chain reporting using in quarter.

Nick Jewell: josh Miller ran a complex operation over at shutterfly and needed to keep buyers and planners aware of key inventory issues things like stock out so supply levels.

Nick Jewell: Now the key data here was stored in Oracle EBS but his procurement team spent hours every single day.

Nick Jewell: Running reports passing data in excel trying to get a clear view of daily operations now, as you can probably imagine this was slow complicated and really prevented his team from staying on their toes when problems arose.

Nick Jewell: Company objective appeared in their yearly statements trying to reduce stock outs by 50% shutterfly needed a solution to unlock the vast reserves of data that they had held inside Oracle EBS.

Nick Jewell: but also to give them buyers easy access to critical insights and within quarter shutterfly gain the ability to really maximize their investment in Oracle EBS.

Nick Jewell: and run business queries in seconds to get accurate answers that could actually drive procurement decisions, the business culture shifted from reactive reporting.

Nick Jewell: To proactive analytics they invested in streamline workflows they greatly reduced instances of stock outs down 90% in total.

Nick Jewell: All complete after a six week integration program with Oracle EBS and as josh says, this could be the greatest thing since sliced bread for supply chain leader.

Nick Jewell: to how to josh and his team deliver value so quickly well to get this revolution in reporting started.

Nick Jewell: We offer pre built dashboards and business mappings that really provide a huge head start for unlocking analytics against Oracle and other data sources.

Nick Jewell: predefined templates and business logic gets you directly to the data that matters from deep inside EBS itself offering key metrics sample reports data visualizations and analytical self service.

Nick Jewell: Based on our deep experience of working with EBS customers through our partners like we pro.

Nick Jewell: So the results of using these data Apps can often be dramatic customers deploy a data APP as part of a bi modernization or cloud migration strategy.

Nick Jewell: moving from legacy technology such as discover obe Ob a which really have always suffered from bad performance and low adoption.

Nick Jewell: To a modern cloud platform that scales basically to any reporting requirements with full support the historical reporting and modern self service analytics.

Nick Jewell: So it's my pleasure now to hand over to rick who's going to take you through we pros structured approach to delivering he rp analytics using the quarter platform rakesh over to you.

Rakesh Ainapur: Thanks Nick.

Rakesh Ainapur: Hello everyone, my name is rakesh I know and i'm based in Bangalore India.

Rakesh Ainapur: i'm a certified management accountant by qualification and I worked in finance accounting Treasury and the enterprise risk management areas this experience is in both as a corporate function as well as in er beacons consulting space.

Rakesh Ainapur: And i'm currently working in the solution and strategy team of pros vertical practice and taking care of finance related solutions.

Rakesh Ainapur: Before I proceed with today's discussion that would like to make one statement here.

Rakesh Ainapur: In court as a business analytics tool for every business functions as Nick took us to supply chain and other areas, but today's my discussion is more focused on finance area.

Rakesh Ainapur: And it is finance every discussion, but we have made the references of other business function so wherever it's needed with this let's move on.

Rakesh Ainapur: Next slide please.

Rakesh Ainapur: Every organizations and departments within organization requires timely information for decision making purposes and office of finance also is not an exception to it.

Rakesh Ainapur: However, what I call clients are often faced with a hybrid environment of multiple earpiece systems bit like our cloud and as well as on premise applications.

Rakesh Ainapur: which makes it challenging to consolidate and analyze their financial data has.

Rakesh Ainapur: fun under this complexities of data multiply in today's dynamic world as companies are growing much faster pace compared to earlier years to organic growth, as well as through mergers and acquisitions.

Rakesh Ainapur: This growth brings in the challenges of disparate prp systems, as well as it adds more challenges to data crunching.

Rakesh Ainapur: Has a result finance users are forced to invest significant amount of manual effort in financial analysis.

Rakesh Ainapur: This is everything from one of the survey results here if you see the last survey result here, which clearly says that.

Rakesh Ainapur: 95% of the finance users are spending time on sourcing the data from multiple source systems cleansing it reconciling and reporting and 5% of this team spends time on identifying actionable insights.

Rakesh Ainapur: So focus on financial analytics is a key one of the key priorities of CFO of this today and this came out this viewpoint came out very well in the surveys conducted by external agencies, as well as surveys conducted by.

Rakesh Ainapur: On financial analytics and see a force perspective.

Rakesh Ainapur: If you see here we have real given few snippets of the service 49% of CFO top priorities data management and analysis over the next three years.

Rakesh Ainapur: 60% of C Fos are investing in reimagining finance through cloud and by deploying artificial intelligence and machine learning solutions.

Rakesh Ainapur: 49% of CEOs identified the biggest gap over the past year was the ability to execute with accurate, timely data that drives quick informed decisions.

Rakesh Ainapur: And 52% of CFO said the Mr financial forecast due to not having the necessary data to make critical business decisions and the last one, which we discussed earlier it's 95% of the finance team working manually for getting the required data for analytics.

Rakesh Ainapur: So it clearly shows that there is a pressing need for Oracle clients to adopt a high performance with to implement and low maintenance analytic solution that combines data from multiple application sources and drives smarter business analytics next slide please.

Rakesh Ainapur: I stated earlier, the rapid growth of business and as well as unplanned growth of it landscape like to a heterogeneous system environments for many of our customers, this results in a silo data which impacts real time reporting and takes longer cycle time for analytics.

Rakesh Ainapur: As complexity of data grows finance users.

Rakesh Ainapur: Have like face challenges related to visibility into key business drivers to.

Rakesh Ainapur: This talent, is our first more acutely by companies that rely upon what actors legacy analytics technology, namely will be he will be I E is not engineer to handle the complexities in today's Oracle applications landscape.

Rakesh Ainapur: Next slide please.

Rakesh Ainapur: Consider the importance of timely accurate and insightful data how our experience has shown that a modern analytics platform like in kota is best suited to drive analytics with Oracle applications.

Rakesh Ainapur: In Code as a distinct capability called direct access to source data without any ETA requirements which enables it to draw data easily from various standard era packages, be it Oracle or SAP or any other leading software solutions and it acts like a single source of truth for all analytics.

Rakesh Ainapur: The other important feature of in kota is it's built in data models and types.

Rakesh Ainapur: That are created, based on Oracle applications data model this enables in quarter to rapidly ingest data from Oracle applications in the areas of finance HR supply chain and manufacturing spaces and this results in a drastic reduction in the time to achieve business insights.

Rakesh Ainapur: Next slide next step is.

Rakesh Ainapur: liberating in quarters data Apps and built in data models, we in the pro have developed a business solution called office of finance.

Rakesh Ainapur: This is a pre configured set of reports and dashboards that can be deployed in just a few weeks time on any ID landscape that has what I call the rp application type Oracle EBS Oracle fusion cloud or what actual jd edwards and so on.

Rakesh Ainapur: The office of finance solution comprises four major areas of analytics firstly it's a persona based dashboard.

Rakesh Ainapur: To meet the reporting needs of CFO and other finance managers and finance key persons like procure to pay lead order to pay order to cash lead.

Rakesh Ainapur: Finance controllers accountant and tax managers, secondly, the role based kpis as well as industry, best practices kpis based on the business org structure and chart of account structure and their revenue organizations and other parameters.

Rakesh Ainapur: How to lead the historical data analysis for year on year quarter on quarter and month on month comparisons and, finally, the all important area that's reconciliation and reporting that is critical for financial periodicals.

Rakesh Ainapur: In court office of finance solution, we are not only enabling finance fraternity to report, monitor and comply.

Rakesh Ainapur: It also empowers them for the business growth advice management course corrections and then tactical decisions by addressing all the issues which we discussed so far, such as multiple sources of data data cleansing and summarization of data.

Rakesh Ainapur: Next slide please make.

Rakesh Ainapur: let's now look at what are the Dakota implementation will look like in order to make it easy for you to envision what it takes to implement analytics within quarter.

Rakesh Ainapur: We are presenting here a T shirt size type of classification, you could see which model either landscape is likely to get categorized.

Rakesh Ainapur: This classification is based on the number of records that you have in your directory rp applications number of users, the number of sources, from where data is gone to perform the analytics and the data volume.

Rakesh Ainapur: Furthermore, we also added, we also included how many business function analytics or to be covered, as part of in cotai implementation.

Rakesh Ainapur: Based on these parameters even landscape might classify as small, medium or large, as shown here, and this is only an indicative classification and can be tailored as per your business next slide please.

Rakesh Ainapur: Here we are showing an indicator timeline to implement in kota if you are landscape classifies as a small, as per T shirt size model.

Rakesh Ainapur: Then we expect that you can deploy in kota for your organization or for Oracle applications in just 13 weeks if you have landscape classifies as medium size, you can deploy in quarter within 19 weeks.

Rakesh Ainapur: Yes, large sized environmentally take 29 weeks.

Rakesh Ainapur: important point here is, it is not a waterfall model delivery, there will be intermittent deliveries within one to two weeks in quarter data Apps will be available and within three to four weeks.

Rakesh Ainapur: We post office of finance solution will be deployed and further within the one time frame your business specific needs will be deployed.

Rakesh Ainapur: And this duration is significantly smaller than what it takes to deploy conventional analytics tool like obe which will definitely take at least two to three times more.

Rakesh Ainapur: Next slide please.

Rakesh Ainapur: In the next section, we will present a quick glimpse of a set of dashboards that are available, out of the box as part of the post office of finance.

Rakesh Ainapur: solution within quarter i'm covering here, there are three categories of dashboards that we will showcase, namely CFO dashboard order to cash dashboard and applicable to dashboards.

Rakesh Ainapur: Next slide please.

Rakesh Ainapur: Here is a CFO dashboard covering operations and revenue which includes sales data be caught and key ratios related to a profit and also revenue and performance by regions next slide please.

Rakesh Ainapur: It is another part of the CFO dashboard discovers working capital related data with the working capital balances APR aging and then.

Rakesh Ainapur: related ratios like current ratio and victories you the other dashboards which are part of CFO dashboard family our cash flow statements, including cash flow from operating financing and investment activities for the resume dashboards including investment and debt and equity derivatives.

Rakesh Ainapur: Now we move to an order to catch This puts this starts with collection managers dashboard including debtors ag total outstanding payment due dates I won't do by regions which collection manager can plan is collection activities properly with this data.

Rakesh Ainapur: Continuing on the order to cash, we have a dashboard for dispute management here, which includes the number of invoices, which are in dispute with the status of the dispute or reasons for the dispute.

Rakesh Ainapur: and other dashboards in what to see side, what we have is region wise performance cash application status, especially for shared service centers and then building dashboards.

Rakesh Ainapur: Next slide please.

Rakesh Ainapur: Next let's quickly look at the practical to pair dashboards we have three dashboards here, this is not related to our AG, and next one is invoice analysis.

Rakesh Ainapur: And then spend analysis.

Rakesh Ainapur: Moving on to our next slide.

Rakesh Ainapur: We have been able to deliver real success on the ground for many of our customers in terms of deploying in kota to derive analytics from Oracle applications.

Rakesh Ainapur: I maybe briefly touch upon a few of these customer success stories here, the first one is for.

Rakesh Ainapur: Leading semiconductor company based in the US, they have a large Oracle EBS footprint and they add will be I E as their bi platform.

Rakesh Ainapur: We are replaced will be I eat with in quarter for both the analytics dashboard as well as reconciliation purposes one big benefit here is the reduction of financial period close cycle by 40%.

Rakesh Ainapur: The encoder platform is really helpful in terms of being able to provide rapid time to insight whenever an acquired organization is merged into our clients it landscape.

Rakesh Ainapur: The next story is for leading distribution and logistics company here the scope was in the area of HR analytics it's interesting to note that the main source system here was vital human capital management cloud applications plus other third party applications.

Rakesh Ainapur: The customer success story is for one of the largest global networking hardware and solution company, here we have implemented sales compensation analytics using encoder.

Rakesh Ainapur: As we all are, where the sales incentive and the Commission, or an area where every company struggles, with the data accuracy and speed of analysis in quarter best sales analytics helps or applying to provide accurate and timely sales incentives and keep the team's moral a hack.

Rakesh Ainapur: It also reduce dispute resolution time and reduce the administrative bandwidth required for incentive administration.

Rakesh Ainapur: moment one the next one here is a scientific games, where we add implemented finance analytics on in kota.

Rakesh Ainapur: We have with us today, she moved into tesla director of corporate applications from scientific games, I think this him to take over the presentation and provide his perspective on the scope and learning from in kota financial analytics implementation, thank you for the ocean.

Srimurugan Venkatachalam: Thank you, Lucas.

Srimurugan Venkatachalam: We say.

Srimurugan Venkatachalam: Well intellects and thanks Nick.

Srimurugan Venkatachalam: Science i'm staying within the curriculum.

Srimurugan Venkatachalam: director of corporate enterprise applications at St Louis gainsaying associated with this company more than a decade now.

Srimurugan Venkatachalam: And my responsibilities working delivering data warehousing and business intelligence articles for various business within scientific games.

Srimurugan Venkatachalam: With me begin with the how journey started with like sleep me.

Srimurugan Venkatachalam: A little bit background about this single game and light and wonder, we were looking for companies considered as a as the the casino gaming lottery, and this digital online gaming businesses is you looking recon does the last 10 years mostly working on consolidating the corporate tools.

Srimurugan Venkatachalam: Because we were like bally's who has Center game circle So those are companies that do that and then.

Srimurugan Venkatachalam: we're working on consolidating the corporate applications in nearly business area, you know the gaming platforms and system software applications.

Srimurugan Venkatachalam: and especially enterprise applications for corporate like er be an implementable year ways and different CRM applications and so on, so when it comes to data management business intelligence area they're using multiple.

Srimurugan Venkatachalam: platforms, like our top notch schools like cosmos SAP Bo will be Diablo.

Srimurugan Venkatachalam: Because of all this company consolidation so it's completely different tools and.

Srimurugan Venkatachalam: We got to spend a lot of money and our our energy to manage those applications and support costs and.

Srimurugan Venkatachalam: The resource costs everything goes for us right and because multiple platforms and so in the beginning of 2019 q1.

Srimurugan Venkatachalam: Current leadership wanted to go for modernize the platform for the whole organization time.

Srimurugan Venkatachalam: That Sunday engage me pro for in kata we want to do a B or C.

Srimurugan Venkatachalam: Know digging into consolidate data set.

Srimurugan Venkatachalam: We took a few existing dashboards that we have already built in other applications, the customer 368 Beijing dashboards To begin with, so our internal bi T, plus the pro able to pull out some good design and approach on the PA solution using Carter.

Srimurugan Venkatachalam: Center to the leadership we demand successful DEMO.

Srimurugan Venkatachalam: And then we got the finance department by in the onboard a new city for data validation or some other migration projects from legacy to.

Srimurugan Venkatachalam: validate the data to Oracle integration and migration process that's that's how we started using gutter as a little 10 projects.

Srimurugan Venkatachalam: And then slowly finance started out doing and we started migrating all our tablet posts, and there is a point in time there's.

Srimurugan Venkatachalam: A lot of efforts being done in the deal, and then we got those things separate tablet the boats and then you're done Okay, and God is with a solution just trying to fit everything into the gutter and.

Srimurugan Venkatachalam: Mostly, the finance Saturdays as opposed plus 200 plus dashboards we migrated as part of that condition and then.

Srimurugan Venkatachalam: After seeing this success in finance group, and then we slowly started expanding to other.

Srimurugan Venkatachalam: departments as well, expanding in car is on the company, the company, and so the so the journey started you cow associated with the pro last three years, and the productivity means in.

Srimurugan Venkatachalam: On boarded and also helping us with all the desk for development and this team is very instrument for us.

Srimurugan Venkatachalam: The in the whole journey from employment to be living.

Srimurugan Venkatachalam: An excellent he's.

Srimurugan Venkatachalam: gonna talk about.

Srimurugan Venkatachalam: You know what are the challenges and how we got a we have.

Srimurugan Venkatachalam: One of the benefits and having said that, energy and I would sell nw.

Srimurugan Venkatachalam: Companies going to multiple phases now, and there is a delta is going on.

Srimurugan Venkatachalam: The desktop deal with the dissolve legacy applications like, as well as systems and different yagi for international studies.

Srimurugan Venkatachalam: Some of them on firms on the cloud and for domestic which is us, is our primary are these Oracle EBS.

Srimurugan Venkatachalam: So, within this arm from multiple earpiece also we have a CRM applications and and diversification jira and sharepoint so we bought out from every application so so that the Channel was.

Srimurugan Venkatachalam: You know, we already dealing with the multiple va norman's and then too many data silos multiple webinars data devil vacations from each tool.

Srimurugan Venkatachalam: We often end up consolidating data for finance for other departments and many times, we have to load the same data for different metrics now to manage and maintain resources as well, and the resource, you said.

Srimurugan Venkatachalam: You guys are playing with the legacy application new applications and everything so within the team it's becoming the biggest challenge for us.

Srimurugan Venkatachalam: manage the resources and also the workload for the different tools and and we also kind of having data low performance issues and longer time for the development and testing activities it's takes longer.

Srimurugan Venkatachalam: And so, this is the solution helped us a lot right so because it's natural these new find articles solutions bi.

Srimurugan Venkatachalam: And the tl in the same platform and very easy to mistake and perform any activity and data consolidation buys made our life easier because you use this.

Srimurugan Venkatachalam: As a data lake and dump data from every other downstream systems to gotta and you consolidate data, and then they bought out, it is quicker and.

Srimurugan Venkatachalam: Data load.

Srimurugan Venkatachalam: improved a lot, because every tool that runs nightly jobs was a yes so.

Srimurugan Venkatachalam: The business six and so all the ETS has to run in the war or the night is in India and.

Srimurugan Venkatachalam: With the all these data, consolidation and loading it think I would say things better.

Srimurugan Venkatachalam: compared to the previous legacy tools to combine.

Srimurugan Venkatachalam: Because it because of its natural it's got a lot of methods right and one other example, recent David says that you are going to separating lottery business and from Oracle gaming unit, separate from Monaco, so we got to rebuild.

Srimurugan Venkatachalam: Close to 16 dashboards me to the custom data warehouse and schema for largely.

Srimurugan Venkatachalam: engaged pro obviously they are theirs, and also the have an in house team.

Srimurugan Venkatachalam: And the delivery was so quick and within three months were able to you know cover with the new instance, and it will do deliver on the reporting needs for the new entity.

Srimurugan Venkatachalam: And one other thing I thought about is and, most importantly, in God is very good, on the self service bi.

Srimurugan Venkatachalam: Bi successful, so we are able to quickly onboard users and users will do not learn quickly.

Srimurugan Venkatachalam: So we deployed some other schemas where users can tell the reports.

Srimurugan Venkatachalam: And many benefits spoken already by me can rock a second or two covers to my thing so from the assessment of requirements and recognizing IT skills to transform the data for easy management partnering it pro and in Qatar helped us a login ag.

Srimurugan Venkatachalam: Very much improved on away for sure wait with that and we continue our journey with the encoder and.

Srimurugan Venkatachalam: Like I said, we have been expanding out the encoder Arizona to their departments lot lot going on we're so excited and the rewriting the tool offers features are getting improved, and we are really glad that we are not a part of the camera.

Srimurugan Venkatachalam: So that.

Srimurugan Venkatachalam: Back to me.

Nick Jewell: Fantastic Thank you, Sir appreciate it so i'll just summarize, if I can, with some key takeaways, so I think we've seen in the presentations today.

Nick Jewell: That in quarter really as a platform that's built for speed and agility we have the concept of in quarters data Apps that really offer a head start when it comes to modernization or bi transformation.

Nick Jewell: Particularly in larger programs within organizations, but also in a wide variety of different use cases.

Nick Jewell: we've also seen that it's possible to deliver some pretty revolutionary reporting that's greatly accelerated when it comes to delivery.

Nick Jewell: Because there's no data shaping there's no aggregation required up front and it's really straightforward to add new data sources and then to get analyst teams to actually self serve those insights to three points, without heavy it support.

Nick Jewell: Now let's move on to some Q amp a and i'm starting to see some questions coming through in our Q amp a panel.

Nick Jewell: it's not too late, if you have a question if you've been intrigued by anything from our panelists today, please get your question into that Q amp a panel.

Nick Jewell: let's have a look at the ones that I can see right now so rakesh I think I have a question for you what's the single biggest challenge for reporting against Oracle EBS in your experience that we bro.

Rakesh Ainapur: And it gets a good question but very difficult to answer, because all these challenges are interlinked.

Rakesh Ainapur: Right, as I said earlier, the multiple source system which, which is creating a side note data, and it is affecting our real time data processing.

Rakesh Ainapur: So put it in simple words what I can say is multiple source systems for end users and then they are reconciliation related challenges as a key key for any business.

Nick Jewell: Fantastic let's take a look so Sri I think i've got a question for you here, so I guess off the back of your slide that walked us through your journey.

Nick Jewell: What was the feedback like for actual users, when it came to switching off legacy reports, whether that was in business objects cognos or even tablo and other environments what what was the feedback from the Community itself.

Srimurugan Venkatachalam: Okay.

Srimurugan Venkatachalam: When it comes to user adoption, with new tools it's always slow and it's always so exciting and, in our case, it was quick.

Srimurugan Venkatachalam: Because we used to have a lot of super users, who is willing to learn new things and one good thing about in God is a self training program made our life really easy you know, so the users were.

Srimurugan Venkatachalam: just going through the training and they.

Srimurugan Venkatachalam: apply to do the work immediately, they just need to go and start, and then the business came on once we publish and then they just going ahead and have their own reports, you know that, then, can record now the user reports are thanks number of reports are increasing, it is good.

Srimurugan Venkatachalam: So it's basically really helped us self service bi quickly, the training of thing going on, so.

Nick Jewell: Fantastic Thank you.

Srimurugan Venkatachalam: For sure, I think.

Nick Jewell: Great I was gonna I was gonna ask the same question to rakesh actually so from a week pro perspective.

Nick Jewell: That wider perspective of working on multiple implementations at these different T shirt sizes of projects, how do you find your business users, adapting to in quarter dashboards rather than what they had previously the legacy Oracle environment.

Rakesh Ainapur: What we saw that our customers is the corrupt ability of in quota and whatever business user training program user started developing their own reports and the burden or.

Rakesh Ainapur: The waiting period for their reports is reduced drastically definitely within six to 12 months time, most of the transactional reporting are being done by users now their dependency on it is reduced.

Rakesh Ainapur: But, but for some complex reporting and kPa analysis that they go to it for building, otherwise it is all done by business users that's what is all.

Nick Jewell: got it and i've got a question coming in, I think, based on the fact that you showed us some screenshots of actual dashboards that you package up and offer as part of a whey protein quarter go to market.

Nick Jewell: And we've talked about the ability to take you know, a top line KPI and then drill down all the way down to an individual transactional record, if needed, and making sure that we reconcile at every step of the way.

Nick Jewell: What kind of drill downs, do you have available for your office of finance dashboards.

Rakesh Ainapur: V have dude on for almost like 50% of our office of finance dashboards.

Rakesh Ainapur: And as encoder comes with drill down capability for any any dashboards we have enabled for a couple of dashboards but not for all the dashboards but but yes, if business requires for it, then we can include the drill down capabilities.

Nick Jewell: And testing Okay, I have one last question remember there's still time if you want to ask a question, get it in on the Q amp a panel.

Nick Jewell: And this is a more general one and i'll start off with rakesh and three i'll get your opinion as well.

Nick Jewell: So we talked a lot about the technology, here we talked a lot about the process let's talk about the people for a moment, so.

Nick Jewell: What changes do you see in the culture of teams that maybe have deployed in quarter three wipro or otherwise, maybe after six or 12 months of use rakesh i'll start with you what, what do you see changing in terms of that analytics culture.

Rakesh Ainapur: yeah that's what I told earlier like Nick most of the requirements are reporting Nice or analytics needs now business team is handling it and exceptional case, which is going to it, no so that's why reduce the cycle time for financial analytics and reporting.

Rakesh Ainapur: and other thing is when when come my customers like it's a mergers and acquisitions or or a restructuring is so common here and they are to opt into that and they are going to get quick insights on all this data.

Nick Jewell: perfect.

Nick Jewell: Thank you very much tree i'd love to get your opinion as well if you don't mind.

Srimurugan Venkatachalam: I definitely second.

Srimurugan Venkatachalam: Law case statement so not only the user base and also the developers right, you know when it comes to any other email platforms and you deal skill sets I mean they incur the developer option is really quicker I know.

Srimurugan Venkatachalam: And also it's because of the.

Srimurugan Venkatachalam: You know, easy to implement.

Srimurugan Venkatachalam: easy to learn, and I feel like the from the devil, because I come from the development background.

Srimurugan Venkatachalam: So you kind of easy to you know you need another new.

Srimurugan Venkatachalam: New developer, who wants to you know order to deploy as a developer, I think it is quicker.

Srimurugan Venkatachalam: So that the two from the developer, plus the user this platform is really.

Nick Jewell: Fantastic and I have one last question coming through on the chat so do we have any online learning for in quarter, we absolutely do so.

Nick Jewell: What i'll do is i'll say first of all, thank you very much to our guest today rakesh from wipro and three from light and wonder.

Nick Jewell: And, to answer your question in the chat right now I would encourage you to visit our website in quarter.com.

Nick Jewell: And particularly to answer this question directly visit the in quarter community and you'll find a link to that.

Nick Jewell: On the main website where we include full, step by step snack of lessons across the entire quarter platform.

Nick Jewell: Both for analysts and end users, but also for developers managers and administrators as well, a really nice set of online learning resources.

Nick Jewell: And if you're interested in maximizing your own investment in EBS and you're ready to start revolutionising your own reporting.

Nick Jewell: head over to cloud during quarter.com forward slash sign up to start a free trial of our cloud based platform today and see what in quarter can do for you and with that i'll say thank you very much, enjoy the rest of your day bye for now.