Partner Summit Breakout: SAP and Partners

Summary

• SAP Partnership: This video shares latest information on Databricks' SAP partnership for the partner ecosystem including consulting and ISV opportunities.
• Ecosystem Growth: Gartner expects $298 billion software spend in AI by 2027, positioning Databricks' partnerships to capture significant market opportunity.
• Partner Success: Global elite partners experienced 90% year-over-year growth, showing how Databricks partnership drives significant business outcomes for consulting and ISV partners.

Partner Summit Breakout: SAP and Partners

Talk by Sabina Shaikh, Vice President Global SI Partners, Databricks ; Sarah Branfman, VP, ISV, Databricks
Sarah Branfman, who leads the Databricks ISV business with a focus on sales and go-to-market, and Sabina Shaikh, Vice President of Global SI Partners, share the latest on the Databricks and SAP partnership and what it opens up for the partner ecosystem. This video outlines the scale of the opportunity for ISV and systems integrator partners, and the business outcomes the three-way partnership between Databricks, SAP and partners is set up to deliver.

FAQs

What is the SAP and Databricks partnership?

This video highlights a partnership bringing together Databricks and SAP to create business value for partners including system integrators, consulting firms, and independent software vendors. The partnership represents significant opportunity to capture market demand for integrated data and enterprise solutions.

How large is the AI software market opportunity?

This video notes that Gartner expects $298 billion software spend in AI by 2027. This enormous opportunity positions Databricks partners to grow substantially by combining Databricks capabilities with SAP and complementary technologies to serve enterprise customers.

What growth have Databricks partners experienced?

This video reports that among Databricks' top 10 global elite partners, the company saw 90% year-over-year growth in aggregate. This contrasts with typical software market growth of 2-3%, demonstrating the powerful tailwinds from Databricks' expanding market position.

What types of partners does Databricks work with?

This video describes Databricks partner ecosystem including global system integrators (SIs), consulting firms, and independent software vendors (ISVs). Each partner type leverages Databricks' data and AI platform to deliver solutions that drive business outcomes for enterprise customers.

Full transcript

All right, you guys ready to get this party going? That was weak. Give me a woohoo. Come on. This is the most exciting session of the week. I mean, no question about it. Um guys, we are so excited to be here today to talk about this massive opportunity with data bricks SAP and each of you. This partnership, it represents just so much in terms of money, in terms of business outcomes that we're going to be able to capitalize on together.
I lead our ISV business with a focus on sales and go to market. ISVS for us include a couple different things that we'll get more into later, but I'm working with the leading software and data companies to drive these critical business outcomes. , great. Well, first of all, just a big thank you to all of you for being here and for your partnership. We value you so much and we're really excited about this session. So.
I run our global consulting and SI partnerships for data bricks. And you know before we jump in I just wanted to take you know a quick step back and mentioned this tremendous opportunity. Well there really is a very exciting opportunity. So just to start Gartner expects a 298 billion software spend in AI by 2027. And we're you know so this opportunity for all of us is pretty enormous. We're all in the in the right space right now.
Uh we're definitely starting to see that trend from a data bicks perspective. So I'm sure you've all heard the stat. Data bricks hit the $3 billion mark. We grew at 60% um in our last fiscal year. Uh last fiscal year we also had 500 deals over a hundred million in in consumption. We had 50 deals over 10 million in consumption. So we're just starting to see the trajectory. And I think I'm hopeful that all of you have the opportunity to go see our keynote tomorrow by our CEO.
You're going to hear some really exciting product announcements. You got a little bit of a preview, I think, in the partner summit, but just some really exciting um reasons why that we're just the tip of the iceberg around this opportunity. And with that, when you look at our SIS, um, I think there's a really interesting stat. Among our top 10 partners, we call them global elite, we saw 90% year-over-year growth in aggregate across that portfolio.
I mean, it's it's pretty mind-numbing when some of these firms are growing at 2, 3%. So, from a data bricks perspective, we're seeing that business grow. And we're seeing that across not just our big partners, across the entire portfolio of our critical partners. And so we're, you know, we have 3,700 consulting and SI partners addressing all aspects of the market. Um, as you know, there's 27,000 certified consultants in market.
We just moved to certified just a few years ago and the adoption has been incredible. We're really striving to hit the capability and capacity that's needed, right, to address what our customers need. And then finally for the for our consulting partners there's this huge opportunity around industry. We have a horizontal platform. The industry use cases are what's driving these conversations in AI. So we really need our partners to innovate and to build solutions preconfigured solutions and accelerators.
So we have a program which is called brickuilder. We're seeing incredible innovation from our consulting partners in building this IP. , how about the how about the uh ISVS? Well, first of all, guys, that's super impressive. The growth that we've been driving with our consulting and SI partners, not just in the number of partners that we have, but in the types of businesses, the breadth, the depth of the businesses that you guys are creating.
I'm really excited to say our ISVS sure are doing a whole lot, too. With ISVS, we're a little bit newer in how we're well, in the different types of programs that we have and how we're executing. I'm going to spend a couple minutes talking about this as I promised at the beginning. We've got three types of ISVS. We've got the built-ons, the data partners, and the tech partners. Your built-ons. These of you, you guys know who you are.
You are companies that are building your core B2B customerf facing products on top of data bricks such that data bricks is the engine powering it. So you could think about some upstarts, some fast growing companies like au. com. You can think about massive companies like. Think about one trust, Canaxis, Quintexa, Adobe. You know, it's it's all over the place. And we just launched our data partner program one year ago.
This is the anniversary. We did it at data and AI summit. And the go to market we're doing. There's one company in particular that we increased their revenue by 260% and we increased their pipeline by 400%. So that matters. Just having a lot of partners doesn't. Driving impact, that's where it's at. The second stack here talks about data partners. Two years ago, we launched our marketplace here at Data and AI Summit.
And even though we've been built from the ground up for data sharing and collaboration, we kind of forgot to tell anyone, but the marketplace was our big splash to get there. Our data partners are companies that are data rich. You can think of a datarrich SAS application like an SAP, the topic of the day, um, like an Adobe, like an, many of those that we talked about. And you can think about your traditional data vendors like a Dun and Bradstreet or like a Moody's.
Um, again, doesn't matter if we have partners if we're not helping to sell through. We've had a 300% increase year-over-year in Delta Shares. That means customers want to get the data through Delta Sharing. We are commoditizing data sharing, making it really easy for you guys, our data partners, to get the data in a more efficient way from your internal processes and from the system to get it to customers. And the this is the way the customers want it. and tech partners.
This is our longest standing type of ISV. These are the partner product integrations up and down the data journey. So, think like a a Sigma or a Calibbra or a Confluent. And with those, we have now 6,000 customers that are using more than three validated tech partner integrations. And some of our partner or customers, in fact, a lot of them have 50, 60. There's one that has over a hundred. So data bricks doesn't exist in isolation.
Here are all the ways that we're helping together to drive the business outcomes. And at the bottom of all of this are how we go to market with joint solutions. talked about the brick builder solutions. It's our goal that over this next year 100% of brick builders are going to have ISVS because we know ISV uh SI partners. You guys of course want more billable service hours but also you need a complete solution. So how do we pull all this together?
And that leads us into our partner power plays. That's what we refer to it when we have multiple different partners coming together. And that's where some of the magic really starts to happen with this SAP partnership. It's the combination of our SIS, our data partners, our tech partners, our built-ons coming together for the incredible opportunity. What do you think? Really exciting obviously. So let's actually get to the meat of why we're here.
We want to talk about this incredible opportunity that we have with SAP. Obviously, SAP is the most, you know, core critical data for any enterprise. And so, we really want to be able to unleash that together with you. And so, you can see some of these stats. You all probably um have SAP practices. There's over 400,000 customers with SAP. 99 out of the top 100 customers run on SAP. There's a $46 trillion spend um on SAP with Storefront.
So it's like you know obviously a huge opportunity and for the SIS we're seeing things anything from onrem uh to cloud migrations we're seeing BW modernization we're also seeing scenarios where you have a datab bricks estate and you can move your data from SAP to datab bricks there's no egress cost there so there's a real advantage for our clients um also a huge opportunity for ISVS correct a thousand% that's why we're all here is for the opportunity So if you click um at the heart of all of this is combining the SAP and nonSAP data.
So I'm going to talk first a little bit about the data partners. This partnership is going to help you guys to sell more. It's going to help you guys to activate and it's going to help to enrich more data. That all leads to greater stickiness and greater expansion in accounts. The example I'll use here is Moody's who SAP recently had a great Moody's partnership launch with Moody's. It's their risk data set that's now natively combined with the SAP accounts receivable data in BDC.
BDC going to talk a lot more about, but that's that business data cloud. And this is helping customers to drive important financial outcomes. Think about how to ID high-risk clients or how to optimize a collections process or reduce the exposure to bad debt. So those sorts of things, that's for data partners. for our tech partners. The same as you're extending native data bricks, you will be extending SAP data bricks and you will be extending the overall BDC platform.
So there's tons there where we'll be able to bring you in to new business, expand the existing business and then for our built-ons and I've talked to a lot of our built-ons already about this about how you seamlessly get the SAP data into your systems and know your customer. Quintex is doing a whole lot around their supply chain orchestration with Kaxis and more. So I mean we all now you know why you're here if you forgot why you showed up to this session and I think it's time to get the party started.
Yeah. Great. So what uh we're going to cover today is I know I've hear from a lot of you you want to get the double click on the what is BDC and the technology. So we have Katherine Fan who's going to come up here who's a leader in our field engineering organization worked at SAP so she's got a lot of knowledge there. She's going to take you through that. Then we're going to get into those industry use cases. We've identified what we think are the top 18 use cases that uh we want our partners to innovate around.
So we'll walk you through those and then finally uh and I will wrap with you know how we can quickly activate together. So with that please come on up. You guys ready still weak. All right it's the lunchtime uh post lunch. Thanks. Hey good afternoon. Um, so just curious how many of you guys have heard of SAP BDC so far? Just a show of hands. Okay, cool. So it's nothing nothing new, but you're probably wondering like what's the SAP data bricks part of it, right?
And so just kind of going through um yes, I used to work for SAP and I was formerly a consultant as well. I spent about 15 years implementing BW. So this is a really exciting um kind of thing for me to kind of be talking about as well. So you guys are the probably most knowledgeable people in the room um especially not just in this room but also out there that knows how difficult it's been to integrate SAP and nonSAP data together right it's always been a big challenge um on top of that but do doing more advanced analytic use cases like anything Gen AI uh machine learning or data science like those type of use cases on SAP data has always been pretty challenging as well uh for various reasons but what it's always led to is data data silos, data duplication, we're integrating multiple systems just to get that third mile, right?
Um, so that's the most exciting part about SAP BDC is that it is going to be your one-stop shop and bringing all of these things together. So, uh, SAP BDC packages all the application SAP application data into a data cloud. Um, we're also introducing the concept of the data product. I don't know if you guys have heard that part of what SAP BDC offers but SAP data bricks kind of completes uh the journey of leveraging those SAP data data products into doing those advanced analytics and especially those AI and analytic use cases.
Okay. So I think the biggest question is what is SAP data bricks? Uh so now you have optionality right? So your customers have optionality in terms of how they're going to interact with their SAP data. So on the left hand side of this diagram, we'll spend most of our most of my time anyway talking about this slide here. Uh the SAP business data cloud uh is really the more SAP centric place where you're going to do your modeling.
So if you think about for those of you that haven't heard it and I apologize if this is some repeat for some of you but if you think about how SAP customers are currently today using data sphere uh they would continue to do that within SAP BDC. So BDC being the place to do your ingestion of any SAP data out of your applications uh and then landing it into SAP BDC. Um, previously there are a lot of choices and it gets very tricky when it comes to how are you going to integrate all of these things, right?
Like are you on the right release all of those various uh kind of integration points that you have to deal with and manage. So SAP BDC is the place to ingest your SAP data um going forward. So I I can't iterate that one enough. That is like a very important aspect of SAP BDC. But then that third mile that we talked about, right? So when customers do want to do data science or ML they're going to nonSAP systems which is you know that's a choice but it is it involves a lot of integration it's very complex um customers are paying for multiple teams to maintain multiple systems BDC completes that picture and it has SAP data bricks uh a native application within SAP BDC to complete that whole full data story right so your customers are able to leverage uh you know SAP data data bricks to do AI, data science using mosaic AI and also data warehousing um using data brick SQL and then the data governance aspect using Unity catalog all within SAP BDC.
So I kind of highlighted and covered one ingestion so super important you're using SAP BDC for ingestion of your SAP data. two using SAP data bricks to take it that third mile on those advanced analytic use cases when it comes to AI ML and data warehousing and then the other flavor that we I haven't really highlighted yet is how do we blend and merge that nonsap data with SAP data that's been another challenge that's been very tricky for SAP customers and for you guys um out there either building solutions or helping customers get there and do that now you can do that with Delta Share and so that you don't have to actually physically move the data and that's something that SAP customers have been asking for a very very long time right and so we've you guys are actually the ones out there in the field front line with the customers figuring out ways to blend merge that data often leading to data silos duplication all of the all of the hairy uh r data wrangling that you've had to do to make that happen and so now you're able to actually help the customers focus on really advanced and innovative use cases using um AI which Samira is going to kind of walk through some of those examples.
Um so just kind of going through uh some of the key components there's you know if you guys are already big data bricks shops and you guys are helping customers uh kind of realize some of the value of their their nonSAP data and SAP data uh using data bricks. One of the very big key components of this is Delta share, right? And so again, that is the ability to use the open protocol to not have to move data physically back and forth, right?
And so that's a that's a key kind of aspect as you guys are out there building your reference architectures, working with your customers, figuring out like what what's the value of this partnership. Delta share is a big component of that and especially for the customers uh not having to pay additional egress fees uh because it's kind of built into that partnership. So that is an exclusive benefit that this partnership brings.
Um the other thing to kind of call out is that it is a birectional move. So whether that's taking your SAP data and blending it with your uh nonSAP data in your native data bricks or the other way around uh that is a birectional um benefit that you get there. Okay. The other aspect uh we I think this is a pretty popular one. Um AI is all the craze right now, right? And so AI has been built into like the data bricks was really founded on AI data and AI.
We've always been the data and AI company. Uh and so it's kind of exciting time now that it's been so popular. All the customers are asking like where should I start? Where do I begin? Um AI you know we recently I don't know it was like a year or two ago acquired Mosaic. Um and that kind of brought us to the forefront and really uh brought us to be leaders of the LLM market. But not only that, um AI within data bricks or using data bicks brings you the state-of-the-art geni um applications whether that's model training or fine-tuning um as well as rag and vector search.
So all of these things I think one of the most easiest uh lowhanging fruit use cases that our customers are always asking about is aentic AI, right? They're trying to figure out like how do I do more with less and maybe leverage their platforms to do that. So, we do have a process built in place to kind of help you guys get your customers um thinking about AI and especially when it relates to their SAP data. Okay. The other aspect that we kind of talked about, they only gave me a few minutes so I I couldn't go into the full suite of data bricks.
So, that's not what this is all about, but just highlighting those things, right? when you're talking to your customers about what aspects they should try out first, uh really talking about the data warehouse, right? And so some of these features um we're really kind of built in AI into the platform itself. So it's not just about how your customers are going to build and use AI on their data. It's also how they're going to take the platform that they're using and make their lives uh you know easier using innovative techniques like so I'll just give a personal example.
I remember my coding days when I started as an OBOP developer and I sat there coding with my manual on my on my lap trying to figure out what the syntax was. I recently had had to write a query for one of my partners uh customer spend month over month year-over-year and I quickly started typing in there instead of having to figure out like what the syntax for SQL was that's not my primary language um it kind of just wrote it for me.
So that's been pretty amazing as well. And so this really does bring uh more opportunities for an having business users engage with the data in a way that they've our customers have been asking for you know forever and it's been like very tricky to kind of make that happen. So AI powered data warehousing fast and simple with data bricks and especially with this partnership. Okay. The other very key component that we want you to all build into your reference architecture as you guys are thinking about um how to advise your customers on how to use SAP BDC with data bricks is uh you know governance right and so this kind of gives you the best of both worlds when it comes to what the business is asking for but also what it wants right and so something like self-service has always been a challenge that our customers have faced especially when how do we implement self-service you want to give the business full access and control of their data but at the same time it has to be safe and governed right so so unity catalog is really what's going to bring make that possible it's going to unlock a lot of uh potential for the business to get access to their data and do really innovative things with their data but at the same time it's going to keep it really happy uh because the data can be governed so those are the kind of the key components of uh what we want you guys to prioritize when it comes to building that architecture I know there's a lot of really amazing use cases and Samir is going to go into those.
But when it comes to when you're uh working with your customers on the benefits of uh SAP BDC plus data bricks partnership again it's just the one ingestion aspect. you're using BDC to ingest all your data and then two um you're now able to tap into new use cases and unlock more power for your business with uh SAP uh data bricks plus uh data warehousing and the Genai capabilities using Mosaic AI. I went really fast so hopefully that's not my micro and it's the old uh car cartoon commercial thing.
Uh Samir, do you want to go ahead? Thanks. Um, so I'm super excited to get this opportunity to speak to our partner ecosystem about industry use cases with SAP data. We're going to do essentially three things here today. One is I want to share some stats to really contextualize our journey around SAP data um um on data bricks. Secondly, I want to showcase some of those top use cases you and exemplify them with customer case studies.
And thirdly, I want to provide a little bit of a glimpse into some of that AI message that just mentioned and talk about what we see as like the future of like industry AI. So, we've been on this journey actually around SAP data for a number of years with this partner ecosystem and I believe we've developed a really incredible foundation for working with SAP SAP data on data bricks. customers customers have been really eager to extract value from that data and they do it to they do it by really getting after that advanced analytics those AI and ML type predictions but it's not only that it really is what mentioned it's about blending that SAP data with enterprise data across the organization so for example in retail it's taking SAP data alongside alongside point of sale data alongside customer intent customer demographics customer um the customer CRM and customer data and things of that nature in manufactur ing it's really around that IT OT convergence like that's where our customers are really starting to see the value and based on these stats we're really starting to see evidence of that across the board within our data bricks platform we've seen over 800 live use cases over the past two years um with SAP data across those 800 use cases we have 550 distinct customer implementations led by many of you in this room um throughout our partner ecosystem both on the SI and ISV side And probably the most important stat on here really is that partner attach rate for our SAP use cases that are in our CRM system.
Those are live or about to go live. That's a 70% attach rate with our partners, which means like this this ecosystem is critically important to driving the value with our customers, ensuring that they can adopt and implement um data bricks alongside their SAP data and really sort of drive that value and extract that value from um SAP data. So, thank you. Um, as we start to look a little bit to the future, let's talk about some of the momentum that we're seeing.
So, over the past four quarters or so, we were averaging about 200 300 use cases um, around SAP data. And then we announced the SAP data bricks partnership and literally there's a two and a halfx growth in demand around um, these types of use cases post the SAP data bricks announcement in our first quarter. I mean that is staggering. Um if that is not a market signal I don't know like customers really want us to help them simplify how they're able to access data within uh within the data bricks and SAP ecosystem and this is quite telling that this is kind of we're on the right path here um to be able to simplify that information and data and we need to bring the ecosystem along with us to do it and so we can turn this opportunity into true outcomes for our customers.
So if we think about now the specific use cases, we have a rich corpus of data. So we understand all the different use cases that are out there. Um we've have customer evidence that's telling us like all the different types of use cases, domains that they're driving and deriving value from SAP data and their enterprise data and we've spoken to many of you um around the partner ecosystem. So get a sense for like what are those top domains and so if you look at those top three use cases, the first one and first and foremost is supply chain intelligence. not surprising that supply chain is one of our top use cases and top use case domains like enterprise planning and supply chain are like part and parcel to each other within the SAP ecosystem.
So we're seeing a lot of these types of use cases. Um customers are ultimately trying to drive advanced analytics, heavy computational type analytics on the databicks platform to unlock that value. So we're seeing use cases like demand forecasting um where they're trying to do fine grain demand forecasting right at the skew level at the store level and be able to take alternate data sources to be able to do it and that's why they need a platform like data bricks.
You see other use cases like inventory optimization and predictive replenishment. You see use cases around supplier risk and spend analysis which is really really important in today's environment recognizing um the economic backdrop around tariffs. So they're trying to do tariff plan planning around tariffs and be able to simulate what the cost profile might might be with their supplier base. We're seeing logistics optimization and supply chain control tower type use cases as well.
The second main domain is around industrial AI. And when we say industrial AI, we're talking about things that are connected to manufacturing, production, asset management, and field operations. The whole idea here is really that IT convergence taking that sensor and IoT information that's coming off assets, machines and products, blending it with data that's in SAP to be able to drive sort of unique innovative use cases um to really sort of drive that reactive to proactive operational cadence within their sort of within their four walls and outside their four walls.
So you see typical use cases with the Bellweather use case really is predictive maintenance, right? reduce unplanned downtime, reduce the cost to actually maintain both things within the four walls and outside the four walls. Um asset performance and life cycle management is critically important. We're seeing production planning and scheduling um optimizing the processes um around manufacturing through quality and yield management and defect detection and also predictive field service.
And again, this whole idea of reactive to proactive operations is critically important because it's driving massive productivity gains for uh for the workforces while also decreasing costs for our organizations that we're working with. And the last main domain is around financial planning and analysis, right? So um and mentioned earlier about how much commerce runs through SAP, right? Like nearly 100% in many of our or many of these organizations finances and revenue are running through SAP.
And so you can imagine that data what being able to do advanced analytics predictions and forecasting around all that financial data is critically important for our customers and we're seeing the same whether that's cash flow and liquidity forecasting or if it's profitability margin analysis financial risk um and doing simulations around budgets and capital planning. So we're seeing a lot of that happen and we're seeing it happen just about in every single industry.
So you can see some of the key logos um that we're working with. It's across oil and gas. It's it's within um supply uh within healthcare life sciences, consumer goods and retail, manufacturing, auto and even media and telco. So these use cases are really crosscutting across all the different verticals that we operate within. So just to put a finer point on some of those use cases, let me share three customer stories with you just to kind of get a sense for like what what are the types of things we're delivering for our customers.
The first one is Shell. Um this is a core supply chain use case. Essentially what we did with Shell was we optimized their safety stock levels and inventory ability. So Shell was able to save millions of dollars and reduce their working capital requirements across a global billion dollars spend across their entire spare parts inventory. Massive massive savings for Shell um being able to run heavy heavy compute around safety stack anal safety stock analysis on data bricks.
The second use is second story here is around Hallebertton. So Hallebertton was essentially combining pedabytes and pabytes of sensor data across all their assets globally and combining it with SAP maintenance records and what they were essentially trying to do is build um predictive m uh predictive maintenance machine learning models um and then deploying those in real time on data bricks and essentially again reducing unplanned um downtime as well as reducing costs upwards of 10% annually around maintenance costs for that asset footprint.
And then the last one here is with Textron. So Textron had recently implemented S4 HANA um within their uh within their order to cache business within their specialized vehicles unit. And the whole idea here is they want to democratize all that SAP data alongside other enterprise data for their business users to be able to sort of drive more innovations in that endtoend or order order to cache workflow and process. So being able to essentially increase the amount of orders and revenue they're coming in coming in and accelerating that time to value that time to cash um through data bricks.
So this is just a few examples of where we're seeing real value with customers with the SAP data bricks partnership. I anticipate this to grow immensely because we're really truly simplifying how data is going to be accessed both from SAP alongside and blending with their enterprise data assets. So the last thing I'll leave you with really quickly um is kind of I mentioned this glimpse into the future. And so with respect to industry AI and aentic workflows, we're starting to see a number of use cases um on our mosaic AI stack that's focused on business process and workflow automation.
Right? So this is kind of an early glimpse of what we're seeing based on customer deployments. And I think what's really fascinating is if you start to look at some of these use cases, it's really the ones where um SAP becomes really really important. Almost 50% of this page requires some element of SAP data. Right? If I'm trying to do document intelligence with procurement and supply chain, I need SAP data. If I'm trying to do um personalized selling and automated order CPQ processes, I need that SAP data alongside other data sources.
If I'm trying to do customer care and customer tech support, similarly, I'm going to need some of that SAP data to run these endto-end business workflows. And so, the more and more as we look to the future of what this partnership means, it's really driving these endto-end agentic workflows and truly automating um business processes to drive increased value for our customers. With that, I'll pass it back to and to close us out.
How excited are we now? You guys are the worst. Oh, great. The best, but the worst. All right, take us home. Yeah. So, what we wanted to just leave you with is, you know, a set of call to actions. Um, you know, we with SAP is going to open up the test and demo environment to their partners in the Q3 time frame. And so I know everybody's been really anxious to be able to get their hands on BDC but I know some of you are already doing you know work with customers.
So uh with that a couple of things. The first thing we want to talk to you about is enablement. So um we have a set of content within data bricks um that we suggest you go to and you can use this QR code. So it has information on BDC but it also I you know all of you if you're the data bricks practice. It's really imperative and we really ask you to lean in with your SAP practices as well to get everyone educated on things like UC on mosaic on DBSQL all the components and the power of the data bricks platform.
As we've been talking to partners we're really seeing that you know the two practices coming together is pretty powerful. So please go and take this set of content. So again, some of it is specific to BDC, but some of it is where you can take your SAP practitioners and point them to data bricks to go through a set of these trainings. And as long as they have a URL of your uh consulting firm or your, you know, kind of your domain, they they will be able to get in, you know, regardless of um you know, whatever practice they're in.
So enablement is number one. And then also SAP has a set of enablement as well within their partner academy. So you can also go and uh get some learnings there as well. Awesome. All right. So moving on to align. This is all about you guys aligning with what are your solutions, who are the people involved and how do we go and execute. Samir talked all about innovating around the use cases. So, I really want to rally around us being prescriptive with our customers for what are those use cases that we're going to help them with.
So, my call to action, take a picture. I see people taking pictures. Um, this is a starting point. Pick two. Pick two to start with and let's rally around that. Then going back to our brick builders, SIS, you guys build out those brick builders that speak to these use cases and then pull in the appropriate data partners, tech partners, and built-ons. And you data partners, built-ons, and tech partners be opinionated also around which of these you fit into.
The more prescriptive we can be, the faster we're going to run and the more outcomes we're going to drive. Uh the other thing on this is mostly to the SIS but the ISVS are doing this too. Build out demos that are then aligned to these use cases. Showcase your offerings, build out other supporting assets, think about the market, the slides, all things that we can rally our sales teams around, enable them on and then go take to market and execute which takes us to this.
When we're aligning with each other, each other means you guys connecting and then us all connecting. So into to data brick specifically, we're going to run some proactive sales plays. So we got to get our account teams aligned on the account strategy. There's also going to be a lot of stuff that comes in naturally outside of any account list that we create outside of the stuff that we're prescriptively driving. So that's great.
You all have your partner portal. You know how to register your use cases. So register that in so that we can get our teams connected. And then the third thing on here are the joint workshops. Let's get these joint workshops together with customers and also with each other so that we have that account strategy with our important accounts that we go and drive. Yeah. And um just to uh expand a little bit on that, I do think you know our field the data bricks field is really hungry for you know uh demos like you mentioned.
I am also seeing a a great demand from our customers from an advisor a set of advisory plays to help you know help them maneuver what's happening helped them calculate the TCO. So, we really want to lean in with you to say, you know, if you factored UC into um BDC, what's the TCO there, right? So, all of that we want to lean in with you as you build out these plays. And honestly, right now, a lot of it is, as I'm sure you're seeing, you know, questions from clients.
So, you are the front line for us. And so, um we would love to lean in with you with you on that. And then finally, execute. And so, there's a couple of things that, you know, we can do today. We talked about the fact that the test test and demo environments are coming. There's the solutions, but from a marketing perspective, you know, we really want to do a couple of things. One is thought leadership. We're starting to see, you know, a number of our SIS do white papers, blogs, you know, really kind of push the narrative out in the market.
So, we'd love to do that with you. Um, industry events, well, we were just at. Obviously, we're here at data and AI summit. There's all sorts of industry events where both data bricks and SAP are pretty have big presence, you know, hymns and others. So, let's go ahead and um think about being creative and targeting clients at these events. Um we're also starting to see just our SI going out and doing events with SAP customers um on their own and it's been pretty powerful and the response has been incredible of how many people are interested.
Um, and then finally there we have MDF at data bricks and hopefully you're all aware of it, but we will match if if you want to do some kind of a marketing event, we have funds to match it if if there's an ROI associated to it. So again, we would love to lean in with you and really start to, you know, get the market. It's already moving actually. I you know, I know I've seen the leads list and you know, we we've already see the markets activated, but let's accelerate and really take advantage and capitalize on this opportunity together.
So with that, just a huge thank you for coming. Well, right before thank you. What was that? Right before thank you. Oh, right before thank you. Right before thank you. Take your cameras out again and take a picture of this. Here's even more ways that you guys can learn about SAP and data bricks crushing it together with many of you in the room. You can see data brick sessions, SAP sessions, customer sessions, ecosystem sessions.
You'll see the names of it and the times. So, you just got to open your app, type that in, go and find it, register, and that's going to be awesome. A lot on Tuesday, some on Wednesday. It definitely gets lighter on Thursday, but take advantage of the sessions that are here. Maximize your time here at Data and AI Summit. We all good with our pictures? I see all phones down. Awesome. Um, and then finally, SAP has an amazing reception tonight.
I know it's pretty close to capacity, but go to this QR code. it's to the RSVP and there's going to be an amazing leadership group from SAP that are going to be there ready and excited to talk to you guys about how we can all partner together and crush it for our businesses and our customers. So with that, you want to say thank you. Well, now I got to say thank you. So truly I'm going to say it again. We do really really appreciate the partnership.
We appreciate this concept of ISV SI and cloud kind of this powerful combination with SAP. the limit. We're we're just so incredibly excited about it. So, um, feel free to I'm sure I'm sure the person everyone wants to talk to is on the technology. Um, we're happy to try to answer any questions. Um, I know we're we're bumping up on time, but again, we're over time, but we'll be out in the back. I think and I both have about five minutes and then we're running.
So, if you have questions there, if not, maybe we'll see you at the party and we'll definitely see you through all the follow-up that comes after. Thanks, guys.

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