>> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Everyone, welcome to the special CUBE Conversation here in the Palo Alto studios of theCUBE. We have our quarantine crew and we are here getting all the stories and all the top news, information from experts and thought leaders in the industry. And we're here for a special interview as part of Informatica's digital, virtual event happening. We have Tracey Newell who's the president of Informatica, a CUBE alumni. Great to have you on remotely. Normally you're here in person, but we're in person. Thanks for coming on. >> (laughs) It's great to be here, John. We're virtually together. Happy to spend time together. >> Yeah, and we were in a really tough crisis situation with COVID-19, had a lot of discussions around strategies of how to manage it, get through it, and grow beyond it. But business needs to go on, and this has been the theme. You got to kind of stabilize your base, move forward. But a lot of people are looking at either retrenching and rethinking with coming out of this on the other side. You guys have a digital, virtual event happening where you still got to get the word out. You are the president of Informatica. You guys have a value proposition that is core to the future. It's data and it's been something that we've talked about for years on theCUBE around data's value. And now, this is now apparent to everybody in this COVID crisis. You're talking to customers all the time. What are they thinking? It's not just an industry inside baseball, kind of inside the ropes conversation. This is now mainstream. What are you hearing from your customers? >> Yeah, so it's certainly been interesting times. Digital transformation, has been a CEO on boardroom discussion now for several years and customers have known for a while that the key to having a real strong transformation is data. They've got to have high-quality data to make the right decisions. And what I've been hearing from clients, I've spent a lot of time over the last six to eight weeks while we are in the midst of this situation, talking to customers that are thriving, that are retailers quickly trying to stand up e-commerce sites because their customers are trying to reach them virtually, and they're just not equipped for that. And so data's key when it comes to e-commerce, of course. And yet, there's other customers that know that they do have to re-imagine, they have to re-plan, they have to re-organize coming out of this situation. And even though some of these clients have been hit pretty hard economically, they're all saying data is the most important thing to make sure that they make the right decisions and the right calls. So literally, CDO for a Fortune 100 manufacturer said data is more important today than it was 60 days ago 'cause we've got to make the right decisions. >> It's interesting, we were joking on theCUBE just last week around the term virtualization, which was kind of VMware invented, and that enabled Amazon to be a cloud, right? So without virtualization, all of that value wouldn't have been realized and that whole wave. But now when you think about virtual living, which we're all kind of doing, this interview here is an illustration of that, the virtualization of life and companies is now happening. So when we come out of this, it's going to be a hybrid world (laughs). People are going to not ignore what just happened, they're going to see the benefits. E-commerce, to your point, has grown in the past eight weeks faster than it has grown in the past 10 years. I just saw a stat come out. So now we believe that the world is going to be accelerated on this digital side quickly, not just the talking point. But as we go physical and hybrid, this is going to be a double-down situation. So what are the challenges in that? Because obviously, it's a complex world digital, it's not easy, you don't just video stream. And it's community, it's data (laughs). What are the challenges? What are the core challenges that customers have to solve to execute through this new reality? >> Yeah, so many customers are, as I said, rethinking and re-planning. There's a large oil and energy company where the CIO said, "I want to be data center free over the last few years." And we're talking about, "Why is that?" And this move to cloud is simply accelerating given the current situation that people are in, and why is that? Well, we're certain they're trying to improve analytics. They're trying to innovate, and they're doing an outstanding job. And yet at the same time, every time they can sunset one of those legacy applications that's sitting on premise, they can save millions and millions if not tens or hundreds of millions of dollars as they start to exit the data center. So we see a huge move to cloud. It's complex because they have to make sure, again, a large insurance company said, "We're sunsetting our cloud data warehouse, our data lake, "and by the way, we're using that to close our books "every quarter, so we can't get this wrong." And so from our standpoint, we built most of the on-premise data warehouse and data lakes. We're pretty good at this stuff. And we're very focused on helping our clients here. >> It's interesting, you're going to see a lot of core thinking around what's important going forward and doubling down around it. I just did an interview for a developer audience and I asked, "What's the reality "that you think comes out of this?" And the answer was microservices and cloud native and automation is here to stay. It's definitely been validated. There's really no debate there. You guys have had this intelligent and automation fabric product in the environment out there, is one of the value propositions of Informatica. How does that fit into all this? And can you give some examples of customers and/or prospects that take advantage of this and how it relates to being positioned to help going forward? >> Great question. So we believe that automation and AI is critical for clients to have a data-driven strategy because data is everywhere, it's fragmented. But you can't solve this by sheer muscle. You got to have AI and machine learning underlying everything that you're doing around your data strategy. So our strategy has been simple for a long time. If you buy one-for-one family category Informatica, we believe that you should choose the best-of-breed. And Gartner thinks that we're best-of-breed in all categories that we play in. But if you have a second or third product, you should get the benefits of AI and machine learning. Examples would include the American Medical Association. They're clearly such an important client to serve these days. They're using our data quality, our data integration, and our master data management tools to ensure that they have privacy but also accurate data at the same time. >> It's interesting the at scale problem that we're seeing and the current environment we were just talking about earlier is exposes the value of data because we're lurking at home. This is an edge on the network (laughs). There's still data being processed, you need security. So the complexity now doesn't change the need for governance and compliance. All these things are still available. So it seems that the game is still the same, but yet now more complexity's been surfaced from this. What's your thoughts on this? You've been talking to customers pre-COVID, pre-pandemic. And now you're going to be doing during and post. There's more complexity but the game doesn't change. You still got to do all these things. >> The importance of making sure you have a holistic data strategy is more important now than ever before. Again, when I talk to clients, some as we've mentioned with e-commerce, they're saying, "I've got to have a 360 degree view "of my customers, my partners, my suppliers." CFOs want a 360 degree view of their supply chain so they can do better vendor management than ever before. And yet, at the same time as we mentioned, they're trying to modernize their data as they move to cloud and improve analytics. And of course, you can't accomplish either one of those objectives if you don't have a strong governance strategy. So this concept of an intelligent data platform is really resonating with clients. I had a large GSI in our briefing center back when we were doing that a few months ago, and they said, "You know, gosh, "we would need 20 companies to do what you do." And that you've got to have a platform play, and it's all got to be backed through AI and machine learning to make sure you're making the best decisions. >> You know, platform business is not for the faint of heart. And I've looked at, and we've built platforms certainly on theCUBE on a small scale. But the difference between a tool and a platform are two different things. Platforms enable change and create value. You create more value than you deliver for the partner that's building on top of that, seems to be the tenet of platforms. Whether it's cybersecurity or data, this has just been a ton of tools, right (laughs)? So you got a tool for this, you got a tool for that. So this has been one of those things, again, we've talked with them and you guys were on theCUBE many years about in this big data world. As you move to a platform, what are some of the analytic challenges that the customers need to be thinking about to solve? Because you're starting to see the bifurcation of a nice-to-have versus core. The analytics 360, you mentioned business 360. Hey, who doesn't want a 360 degree view of their business? But is it a nice-to-have or is it critical? So these are the kind of conversations I would love to get your thoughts on, Tracey. Nice-to-haves versus critical, and what are the key problems to solve for analytics? >> Yeah, so when you think about analytics, really, frankly, any decision that clients are making right now, you got to make sure that this is truly the most important. That it's got a business case behind it, and it's the most important place to be spending your dollars these days. What I'm seeing with clients, just last week, a large airline, you can imagine, they invested heavily in data governance and data privacy because they know that it's important to have an analytical and clear view to who are their customers, and how do they make sure they protect the privacy of the customers while they build on their loyalty program? We just, last week, saw a large auto manufacturer, again, investing heavily in this area of data governance and privacy. One of my favorite stories came from a CDO who's in oil and energy. Again, another industry making tough choices right now. And they said, "I want my data "to be like pouring myself a glass of water." And I looked at him, I said, "What does that mean?" And she goes, "Well, if you go pour yourself a glass of water, you don't curate the water, "test the water, and prep the water." And of course, that's what all these expensive data scientists are doing. They're spending all their time trying to understand the data. And so CFOs are getting tired of two reports showing up on their desk to answer one question and the reports say something else. Which one do you believe? You've got to have a trusted and really strong analytical approach to making the decisions that clients are going to be forced to make coming out of this situation and the data's integrity has never been more important. >> I love the water example because it's really a lot of flow. You've got fast flowing data. You've got real relevance, maybe slow data but it's relevant. You've got clean data, you've got dirty data. I mean, thinking about the old database days, cleansing data, it's a term. Data wrangling, totally makes sense. This is the outcome that they want. They just want to have the applications sides dealing with the data as fast as possible, most relevant. So it is like water. But to make that happen, you got to have the processing (laughs) behind the curtain. This is the hard part. Can you just illustrate some thinking around how you guys help do that? Because, okay, you've got a platform. But if you're making the water clean and flowing on tap if you will, what goes on to make that happen? Take me through the pitch there, what do you guys do? >> Yeah, so we think every enterprise in the future is going to want to invest in a data marketplace. And so what we announced in December as part of our governance solution, which again, is tied into the entire intelligent data platform on all that we do, for us to helping customers to modernize their products with master data management. We're heavily invested in cloud native solutions with all the major hyper-scalers. And then combined with our governance solutions, we've announced a data marketplace where the very business friendly application that the data scientists can use. They don't have to be data engineers or data wranglers. And yet, it's also a place where people can go to have a clean and trusted view. It's all backed by machine learning and AI so that data scientists can see, you know, where did this data pull from? Based upon, you know, you asked this question, then you might also want to look over here to get a different answer to your question. Understand, what's been certified, who certified the solution? All those questions. We always say you can ask the internet anything. How come you can't ask your own company anything and trust the information? And that's what we've announced with our governance solutions, then the clean enterprise data marketplace. >> I love data value. Both have been close to my heart from day one. Maybe back when theCUBE started in 2010 when Hadoop hit the scene, we saw the value of data. I always felt it was going to be part of the applications. And now more than ever, these kinds of things like trust, real time, and being programmable. I mean, when I start thinking about automation, you're really talking about programmability, right? So you got to have the efficiencies. I think you guys have got a really interesting value proposition there. Great stuff. >> Yeah, well, your example on Hadoop and Big Data, we're seeing a repeat in history again. When everyone built the on-premise data warehouses and data lake, they used Informatica to automate and to build at scale. And then we did it again when people moved to Big Data and they started investing in Hadoop and Cloudera and Hortonworks, now Cloudera, of course. We helped to accelerate that automation, and that's exactly what we're doing again in cloud. So most CIOs are trying to again sunset legacy applications, and the faster you can speed data ingestion at scale, but also understand data quality and data integrity at the same time so that you don't move your on-premise data, data swamp into the cloud, that's expensive. We can really help to look at this holistically and solve these problems for customers faster. >> Well, Tracey, it's great to see you. I wish we could be there in person, but there's no personal event. You've got a virtual digital event happening. It's going to be ongoing which is digital. So it's 365 days a year more ongoing. Take a minute to talk to your customers that are out there since we have you on camera. Let's automate the value proposition. What's the update on Informatica? What's the pitch to your customers and prospects? What's new with Informatica? Why Informatica? Your core value proposition and why they should work with you. >> Yeah, so we've been serving our customers for 25 years. And the reason why we have such loyalty, This is John Furrier here inside theCUBE studios we serve 85 of the Fortune 100, over half the global 2000. for an update with Informatica's digital conference. The reason why customers come back and speak on our behalf Take a look at it, check it out online. and literally thousands of customers speak on our behalf, Join the community. Be part of those thousands of customers that they have, it's humbling, is because we have the best and check it out, give them feedback. Again, we're remote, we're virtual. It's a virtual CUBE. intelligent data platform in the market. I'm John Furrier, thanks for watching. And we also understand our customers aren't buying software. (soft music) They're buying a business outcome. And we have more people in customer success to enable customers to be successful in all of these journeys we've talked about today. And so I'd like to encourage everyone to attend CLAIREview, which is our new conference series, kicks off on May 20th. CLAIRE is our AI engine, is a Netflix-like experience where you can learn more about all the areas where we can help you in the items we've discussed today. So for clients that are looking to save money by sunsetting legacy apps, we can help accelerate your move to the cloud, improve analytics while you also build a data governance strategy and culture into your environment. So really excited about it, John. I mean, it will be an ongoing series so that based on what you learn and what you like, we'll recommend future sessions for you to help you be successful coming out of this current situation. >> Tracey, thanks for that great insight.

>> Narrator: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Everyone, welcome to the special CUBE Conversation here in the Palo Alto studios of theCUBE. We have our quarantine crew and we are here getting all the stories and all the top news, information from experts and thought leaders in the industry. And we're here for a special interview as part of Informatica's digital, virtual event happening. We have Tracey Newell who's the president of Informatica, a CUBE alumni. Great to have you on remotely. Normally you're here in person, but we're in person. Thanks for coming on. >> (laughs) It's great to be here, John. We're virtually together. Happy to spend time together. >> Yeah, and we were in a really tough crisis situation with COVID-19, had a lot of discussions around strategies of how to manage it, get through it, and grow beyond it. But business needs to go on, and this has been the theme. You got to kind of stabilize your base, move forward. But a lot of people are looking at either retrenching and rethinking with coming out of this on the other side. You guys have a digital, virtual event happening where you still got to get the word out. You are the president of Informatica. You guys have a value proposition that is core to the future. It's data and it's been something that we've talked about for years on theCUBE around data's value. And now, this is now apparent to everybody in this COVID crisis. You're talking to customers all the time. What are they thinking? It's not just an industry inside baseball, kind of inside the ropes conversation. This is now mainstream. What are you hearing from your customers? >> Yeah, so it's certainly been interesting times. Digital transformation, has been a CEO on boardroom discussion now for several years and customers have known for a while that the key to having a real strong transformation is data. They've got to have high-quality data to make the right decisions. And what I've been hearing from clients, I've spent a lot of time over the last six to eight weeks while we are in the midst of this situation, talking to customers that are thriving, that are retailers quickly trying to stand up e-commerce sites because their customers are trying to reach them virtually, and they're just not equipped for that. And so data's key when it comes to e-commerce, of course. And yet, there's other customers that know that they do have to re-imagine, they have to re-plan, they have to re-organize coming out of this situation. And even though some of these clients have been hit pretty hard economically, they're all saying data is the most important thing to make sure that they make the right decisions and the right calls. So literally, CDO for a Fortune 100 manufacturer said data is more important today than it was 60 days ago 'cause we've got to make the right decisions. >> It's interesting, we were joking on theCUBE just last week around the term virtualization, which was kind of VMware invented, and that enabled Amazon to be a cloud, right? So without virtualization, all of that value wouldn't have been realized and that whole wave. But now when you think about virtual living, which we're all kind of doing, this interview here is an illustration of that, the virtualization of life and companies is now happening. So when we come out of this, it's going to be a hybrid world (laughs). People are going to not ignore what just happened, they're going to see the benefits. E-commerce, to your point, has grown in the past eight weeks faster than it has grown in the past 10 years. I just saw a stat come out. So now we believe that the world is going to be accelerated on this digital side quickly, not just the talking point. But as we go physical and hybrid, this is going to be a double-down situation. So what are the challenges in that? Because obviously, it's a complex world digital, it's not easy, you don't just video stream. And it's community, it's data (laughs). What are the challenges? What are the core challenges that customers have to solve to execute through this new reality? >> Yeah, so many customers are, as I said, rethinking and re-planning. There's a large oil and energy company where the CIO said, "I want to be data center free over the last few years." And we're talking about, "Why is that?" And this move to cloud is simply accelerating given the current situation that people are in, and why is that? Well, we're certain they're trying to improve analytics. They're trying to innovate, and they're doing an outstanding job. And yet at the same time, every time they can sunset one of those legacy applications that's sitting on premise, they can save millions and millions if not tens or hundreds of millions of dollars as they start to exit the data center. So we see a huge move to cloud. It's complex because they have to make sure, again, a large insurance company said, "We're sunsetting our cloud data warehouse, our data lake, "and by the way, we're using that to close our books "every quarter, so we can't get this wrong." And so from our standpoint, we built most of the on-premise data warehouse and data lakes. We're pretty good at this stuff. And we're very focused on helping our clients here. >> It's interesting, you're going to see a lot of core thinking around what's important going forward and doubling down around it. I just did an interview for a developer audience and I asked, "What's the reality "that you think comes out of this?" And the answer was microservices and cloud native and automation is here to stay. It's definitely been validated. There's really no debate there. You guys have had this intelligent and automation fabric product in the environment out there, is one of the value propositions of Informatica. How does that fit into all this? And can you give some examples of customers and/or prospects that take advantage of this and how it relates to being positioned to help going forward? >> Great question. So we believe that automation and AI is critical for clients to have a data-driven strategy because data is everywhere, it's fragmented. But you can't solve this by sheer muscle. You got to have AI and machine learning underlying everything that you're doing around your data strategy. So our strategy has been simple for a long time. If you buy one-for-one family category Informatica, we believe that you should choose the best-of-breed. And Gartner thinks that we're best-of-breed in all categories that we play in. But if you have a second or third product, you should get the benefits of AI and machine learning. Examples would include the American Medical Association. They're clearly such an important client to serve these days. They're using our data quality, our data integration, and our master data management tools to ensure that they have privacy but also accurate data at the same time. >> It's interesting the at scale problem that we're seeing and the current environment we were just talking about earlier is exposes the value of data because we're lurking at home. This is an edge on the network (laughs). There's still data being processed, you need security. So the complexity now doesn't change the need for governance and compliance. All these things are still available. So it seems that the game is still the same, but yet now more complexity's been surfaced from this. What's your thoughts on this? You've been talking to customers pre-COVID, pre-pandemic. And now you're going to be doing during and post. There's more complexity but the game doesn't change. You still got to do all these things. >> The importance of making sure you have a holistic data strategy is more important now than ever before. Again, when I talk to clients, some as we've mentioned with e-commerce, they're saying, "I've got to have a 360 degree view "of my customers, my partners, my suppliers." CFOs want a 360 degree view of their supply chain so they can do better vendor management than ever before. And yet, at the same time as we mentioned, they're trying to modernize their data as they move to cloud and improve analytics. And of course, you can't accomplish either one of those objectives if you don't have a strong governance strategy. So this concept of an intelligent data platform is really resonating with clients. I had a large GSI in our briefing center back when we were doing that a few months ago, and they said, "You know, gosh, "we would need 20 companies to do what you do." And that you've got to have a platform play, and it's all got to be backed through AI and machine learning to make sure you're making the best decisions. >> You know, platform business is not for the faint of heart. And I've looked at, and we've built platforms certainly on theCUBE on a small scale. But the difference between a tool and a platform are two different things. Platforms enable change and create value. You create more value than you deliver for the partner that's building on top of that, seems to be the tenet of platforms. Whether it's cybersecurity or data, this has just been a ton of tools, right (laughs)? So you got a tool for this, you got a tool for that. So this has been one of those things, again, we've talked with them and you guys were on theCUBE many years about in this big data world. As you move to a platform, what are some of the analytic challenges that the customers need to be thinking about to solve? Because you're starting to see the bifurcation of a nice-to-have versus core. The analytics 360, you mentioned business 360. Hey, who doesn't want a 360 degree view of their business? But is it a nice-to-have or is it critical? So these are the kind of conversations I would love to get your thoughts on, Tracey. Nice-to-haves versus critical, and what are the key problems to solve for analytics? >> Yeah, so when you think about analytics, really, frankly, any decision that clients are making right now, you got to make sure that this is truly the most important. That it's got a business case behind it, and it's the most important place to be spending your dollars these days. What I'm seeing with clients, just last week, a large airline, you can imagine, they invested heavily in data governance and data privacy because they know that it's important to have an analytical and clear view to who are their customers, and how do they make sure they protect the privacy of the customers while they build on their loyalty program? We just, last week, saw a large auto manufacturer, again, investing heavily in this area of data governance and privacy. One of my favorite stories came from a CDO who's in oil and energy. Again, another industry making tough choices right now. And they said, "I want my data "to be like pouring myself a glass of water." And I looked at him, I said, "What does that mean?" And she goes, "Well, if you go pour yourself a glass of water, you don't curate the water, "test the water, and prep the water." And of course, that's what all these expensive data scientists are doing. They're spending all their time trying to understand the data. And so CFOs are getting tired of two reports showing up on their desk to answer one question and the reports say something else. Which one do you believe? You've got to have a trusted and really strong analytical approach to making the decisions that clients are going to be forced to make coming out of this situation and the data's integrity has never been more important. >> I love the water example because it's really a lot of flow. You've got fast flowing data. You've got real relevance, maybe slow data but it's relevant. You've got clean data, you've got dirty data. I mean, thinking about the old database days, cleansing data, it's a term. Data wrangling, totally makes sense. This is the outcome that they want. They just want to have the applications sides dealing with the data as fast as possible, most relevant. So it is like water. But to make that happen, you got to have the processing (laughs) behind the curtain. This is the hard part. Can you just illustrate some thinking around how you guys help do that? Because, okay, you've got a platform. But if you're making the water clean and flowing on tap if you will, what goes on to make that happen? Take me through the pitch there, what do you guys do? >> Yeah, so we think every enterprise in the future is going to want to invest in a data marketplace. And so what we announced in December as part of our governance solution, which again, is tied into the entire intelligent data platform on all that we do, for us to helping customers to modernize their products with master data management. We're heavily invested in cloud native solutions with all the major hyper-scalers. And then combined with our governance solutions, we've announced a data marketplace where the very business friendly application that the data scientists can use. They don't have to be data engineers or data wranglers. And yet, it's also a place where people can go to have a clean and trusted view. It's all backed by machine learning and AI so that data scientists can see, you know, where did this data pull from? Based upon, you know, you asked this question, then you might also want to look over here to get a different answer to your question. Understand, what's been certified, who certified the solution? All those questions. We always say you can ask the internet anything. How come you can't ask your own company anything and trust the information? And that's what we've announced with our governance solutions, then the clean enterprise data marketplace. >> I love data value. Both have been close to my heart from day one. Maybe back when theCUBE started in 2010 when Hadoop hit the scene, we saw the value of data. I always felt it was going to be part of the applications. And now more than ever, these kinds of things like trust, real time, and being programmable. I mean, when I start thinking about automation, you're really talking about programmability, right? So you got to have the efficiencies. I think you guys have got a really interesting value proposition there. Great stuff. >> Yeah, well, your example on Hadoop and Big Data, we're seeing a repeat in history again. When everyone built the on-premise data warehouses and data lake, they used Informatica to automate and to build at scale. And then we did it again when people moved to Big Data and they started investing in Hadoop and Cloudera and Hortonworks, now Cloudera, of course. We helped to accelerate that automation, and that's exactly what we're doing again in cloud. So most CIOs are trying to gain some legacy applications, and the faster you can speed data ingestion at scale, but also understand data quality and data integrity at the same time so that you don't move your on-premise data, data swamp into the cloud, that's expensive. We can really help to look at this holistically and solve these problems for customers faster. >> Well, Tracey, it's great to see you. I wish we could be there in person, but there's no personal event. You've got a virtual digital event happening. It's going to be ongoing which is digital. So it's 365 days a year more ongoing. Take a minute to talk to your customers that are out there since we have you on camera. Let's automate the value proposition. What's the update on Informatica? What's the pitch to your customers and prospects? What's new with Informatica? Why Informatica? Your core value proposition and why they should work with you. >> Yeah, so we've been serving our customers for 25 years. And the reason why we have such loyalty, we serve 85 of the Fortune 100, over half the global 2000. The reason why customers come back and speak on our behalf and literally thousands of customers speak on our behalf, it's humbling, is because we have the best intelligent data platform in the market. And we also understand our customers aren't buying software. They're buying a business outcome. And we have more people in customer success to enable customers to be successful in all of these journeys we've talked about today. And so I'd like to encourage everyone to attend CLAIREview, which is our new conference series, kicks off on May 20th. CLAIRE is our AI engine, is a Netflix-like experience where you can learn more about all the areas where we can help you in the items we've discussed today. So for clients that are looking to save money by sunsetting legacy apps, we can help accelerate your move to the cloud, improve analytics while you also build a data governance strategy and culture into your environment. So really excited about it, John. I mean, it will be an ongoing series so that based on what you learn and what you like, we'll recommend future sessions for you to help you be successful coming out of this current situation. >> Tracey, thanks for that great insight. One final personal question I want to ask you. I've been following you guys for a long time, and we've had you on theCUBE many times. You've been a seasoned veteran in the industry. You've seen cycles of innovation. You've seen the ups and downs over the years. You've been on boards, you've been a leader, a senior leader. What do you talk about with your friends and peers when you look at this current inflection point? As there's the candid conversations are happening, it's really an opportunity, but also there are serious challenges. As a leader, how should leaders be thinking about getting through this? What's your personal view? You've seen many cycles. You've see many waves. This wave coming is going to be big. This change is certainly going to create an uptick, we believe, exponentially a step function transformation. What's your view? What are some of the conversations that you're having with your friends, peers around what to do? >> Yeah, so I think in any situation like the one that we're in, it's important first and foremost to take care of the employees, take care of the customers, take care of the short term needs. That's critical. And yet at the same time in parallel, to be thinking longer term because there is an opportunity when you go through a situation like this to regroup and to think about, what will be the key markets that come back the fastest? What will be your differentiation, your company's differentiation so that you come out of this when the market does start to rebound and really thriving. So it's always this constant balance of how you deal with the short-term and the realities that we're in because people are making some tough decisions. And yet at the same time, make sure that you're very clear on your long-term strategy so that you can come out of this swinging. >> Great advice. That's a masterclass right there. Thank you for sharing that. Of course, check out Informatica's CLAIREview event. Of course, the digital events are always online. Check them out. Tracey, thanks for your time and thanks for that insight and update, appreciate it. >> Yeah, great to be here, John. Look forward to seeing you in person soon. >> Okay, take care. This is John Furrier here inside theCUBE studios for an update with Informatica's digital conference. Take a look at it, check it out online. Join the community. Be part of those thousands of customers that they have, and check it out, give them feedback. Again, we're remote, we're virtual. It's a virtual CUBE. I'm John Furrier, thanks for watching. (soft music)