>>Hi, everyone. And thanks for joining us today for our session on the 2020 Data Drivers Award winners. I'm excited to be here today with you. I'm a lease. Bergeron, vice president, product marketing for snowflake. Thes rewards are intended to recognize companies and individuals for using snowflakes, data cloud to drive innovation and impact in their organizations. Before we start our conversations, I want to quickly congratulate all of our award winners. First in the business awards are data driver of the year is Cisco. Our machine learning master is you Nipper, Our data sharing leader is Rakuten. Our data application of the year is observed and our data for good award goes to door dash for the individual and team awards. We first have the cost. Jane, Chief Digital officer of Paccar. We have a militiamen, director of cybersecurity and data science winning our data science Manager of the Year award at Comcast for a date. A pioneer of the year. We have Faisal KP, who's our senior manager of enterprise data Services at Pizza Hut. And lastly, we have our best data team going to McKesson, led by Jimmy Herff Data and Analytics platform leader Huge congratulations to all of these winners. It was very difficult to pick them amongst amazing set of nominations. So now let's dive into our conversations. We'll start with the data driver of the year. Representing Cisco today is Robbie. I'm a month do director data platform, data and analytics. >>Let me welcome everybody to the wonderful. Within a few years before Cisco used to be a company, you know, in making the decisions partly with the data and partly with the cuts. Because, you know, the data is told in multiple places the trading is not done right and things like that. So we, you know, really understood it. You know what was a challenge in the organism? By then we defined the data strategy on we put in a few plants in place, and it is working very well. But what is more important is basically how we provide the data towards data scientists and the data community in Cisco. I'm making them available in a highly available scalable on the elastic platforms. That's where you know, snowflake came into picture really very well for arrest, along with the other data strategies that we have had in place more importantly, data. Democratization was a key. You know, you along with the simplification, something technologies involved in the past. Our clients need to be worrying, laudable the technologies involved, you know, for example, we used to manage her before we make it. Snowflake Andi Snowflake, in a solve all of these problems for us with the ease on it. Really helping enabling a data data given ordinances in our >>system. In the data sharing leaders category, Rockhampton was our winner. We have mark staying trigger VP of analytics here to share their story. I >>wanna thank Snowflake for the award, and it's an honor to be a today. The ease of use of snowflake has allowed projects to move forward innovation to move forward in a way that it simply couldn't have done on old Duke systems or or or other platforms. And I think the truth the same is true for us on a lot of the similar topics, but also in the data sharing space, data sharing is a part off innovation. Like I think, most of the tech companies we work with certainly are business partners, merchants, but also with a range of other service providers and other technology vendors, um on other companies that we strategically share data with 2 May benefit of their service or thio to allow data modeling or advanced data collaboration or strategic business deals using the data and evaluated with the data on. But I think if you look Greece snowflake, you would see a lot of time and effort money going to just establishing that data connection that often involved substantial investments in technology data pipelines, risk evaluation, hashing, encrypt encryption. Security on what we found with snowflakes sharing functionality is that we can not eliminate those concerns, but that the technology just supports the ability to share data securely easily, quickly in a way that we could never do >>previously. Now we have a really inspiring winner of the data for good award door dash with their Project Dash Initiative here to speak about their work is act shot near Engineering manager >>Thank you sports to snowflake for recognizing us for this initiative. Eso For those of you who don't know, Dash, the logistics technology platform company that connects people with the best in their cities and Project Dash, our flagship social impact program, uses the door dash logistics platform to tackle the challenges like hunger and food waste. It was launched in 2018 on over the first two years in partnership with food recovery organizations, we powered the delivery off over £2 million of surplus food from businesses to hunger relief agencies across the U. S. And Canada. Andi simply do Toko with tremendous need has a much we were ableto power. The delivery often estimated 5.8 million meals to food insecure communities and frontline workers across 48 states on the 3.5 million off. These meals have been delivered since much. We do all of our analysis for our business functions from like product development to skills and social impact in snowflake On the numbers I just provided here actually have come from Snowflake on. We have used it to provide various forms of reporting, tow our government and non profit partners on this snowflake. We can help them understand the impact, analyzed friends and ensure complaints in cases where we are supporting efforts for agencies like FEMA, our USDA onda. Lastly, our team is really excited to be recognized by snowflake for using data for good. It has reminded us to continue doubling down on our commitment to using our product and expertise to partner with communities we operated. Thank you again. >>The winner of the machine Learning Master's word is unit for Energy. Viola Sarcoma Data Innovation leader is here on behalf of unit for >>Hello, everyone, Thanks for having me here. It's really a pleasure. And we were really proud to get this award. It means a lot for you. Nipper. It's huge recognition for our effort since last couple of years assed part of our journey and also a celebration off our success now for you. Newport. It would not be possible to start looking at Advanced Analytics techniques, not having a solid data foundation in place. And that's where we invested a lot in our cloud data platform in the cloud back by snowflake. Having this platform allowed us to employ advanced analytics techniques, combining data from Markit from fundamental data, different other sources of data like weather and extracting new friends, new signals that basically help us to partly or even in some cases fully automate some trading strategy. And we believe this will be really fundamental for for the future off raiding in our company and we will definitely invest in this area in the future. >>Our data application of the year is observed. Observers recognizes the most innovative, data driven application built on Snowflake and representing observed today is their CEO, Jeremy Burton. >>Let me just echo the thanks from the other folks on the coal. I mean snowflakes, separation of storage. Compute. I can't overstate what a really big deal it is. Um, it means that we can ingest in store data. Really? For the price of Amazon s three on board, we're in a category where vendors of historically charged for volume of data ingested. So you can imagine this really represents huge savings. Um, in addition, and maybe on a more technical note, snowflakes, elastic architectures really enables us to direct queries appropriately, based on the complexity of the query. So small queries or simple queries weaken director extra small warehouses and complex queries. We can direct, you know, for Excel. Or I think even a six x l is either there are on its way. The key thing there is that users they're not sitting around waiting for results to appear regardless of the query complexity. So I mean, really? The separation storage compute on the elastic architectures is a really big deal for us. >>Turning to the data Pioneer of the Year Award, I'm excited to be here with Faisal KP, senior manager of Enterprise Data Services from Pizza Hut. >>First of all, thank you, Snowflake, for giving this wonderful person. I think it means a lot for us in terms of validating what we're doing. I think we were one of the earlier adopters of Snowflake. We saw the vision of snowflake, you know, stories. Russell's computer separation on all the goodies, right? Right from back in 2017, I believe what snowflake enabled us is to actually get the scale with very little manpower, which is needed to man the entire system. So on the Super Bowl day, we have, you know, the entire crew literally a boardroom where the right from the CME, most of the CEOs to all the folks will be sitting and watching what is happening in the system. And we have to do a lot of real time analytics during that time. So with snowflake, you know, way used the elasticity of the platform we use, you know, platform you know their solutions, like snow pipe to basically automate the data ingestion coming through various channels, from the commas, from the stores, everything simultaneously. So as soon as the program is done, you know, we can scale scale down to our normal volume, which means we can, you know, way can save a lot. Of course. So definitely it snowflake has been game changer for us in terms of how we provide real time analytics. Our systems are used by thousands off restaurants throughout the country and, you know, by hundreds of franchisees. So the scale is something we have achieved with a lot of ability and success. >>In the category of data science Manager of the Year Award, we have a mission Min, director of cybersecurity and data science at Comcast. >>So thank you for having me and thank you for this wonderful award. So one of the biggest challenges you see in this other security spaces the tremendous amount of data that we have to compute every day to find the gold haystack. So one of the big challenges we overcame with by uniting snowflake was how do we go from like my other counterparts on the panel have said Theo operational overhead of maintaining a large data store and moved to more of results driven and data focused environment. And, you know, part of that journey was really the tremendous leadership. Comcast saying, You know, we want Thio through our day to day lives by relying less on operational work and Maura on answering questions. And so you know, over the last year we've really put Snowflake at the center of our ecosystem, knowing that it's elastic platform and its ability scale infinitely have given us the ability to dream big and use it to drop five cybersecurity. And while it's traditionally used for cybersecurity, we're starting to see the benefits right away and the beauty of the snowflake. Ecos, Miss. We're now able to enable folks that not traditionally have big data skills, but they have standards, sequel skills, and they could still work in the snowflake platform. So, you know, the transition to cloud has been very powerful for us as an organization. But I think the end story, the real takeaways, by moving our secretary operation to the cloud, we're now been able to enable more people and get the results they were looking for. You know, as other people have said fast, people hate to wait. So the scale of snowflake really shines. >>Yeah. Now, let's hear from our data Executive of the year. The Cost. Jane. Chief Digital Officer Packer. >>Thank you very much, Snowflake, for this really incredible recognition and honor of the work we're doing it back. Are we began. The first step in this process was for us to develop an enterprise Great data platform in the cloud capable off managing every aspect of data at scale. This this platform includes snowflake as our analytics data warehouse amongst many other technologies that we used for ingestion of data, data processing, uh, data governance, transactional, uh, needs and others. So this platform, once developed, has really helped us leverage data across the broad pack. Our systems and applications globally very efficiently and is enabling pack are, as a result to enhance every aspect. Selfish business with data. >>Ah, big congratulations again to all of the winners of the 2020 Data Drivers Awards. Thanks so much for joining us for a great conversation. And we hope that you enjoy the rest of the data cloud summit

(upbeat instrumental music) >> Narrator: Live from San Francisco, Celebrating 10 years of high tech coverage, it's theCUBE. Covering VMworld 2019. (upbeat instrumental music) Brought to you by VMware and its ecosystem partners. Hello and welcome back everyone. theCUBE's Live coverage here in San Francisco, California. I'm John Furrier, Dave Vellante, VMworld 2019 coverage. Dave, 10 years of Cube coverage, Yip! we started out 10 years ago. VMworld is the last show standing. Our next guest is Todd Forsythe, CMO of Veritas. Great to see you, first time on theCUBE. Thanks Todd. It is inaugural. (John laughs) Aafter 25 years in the industry, it's crazy. With your talent, I think we're going to have a good segment here. I'm sure we will. Very entertaining. No, seriously we've known each other, we were on an advisory board together. You're a prolific marketer, you do a lot of great things. You're progressive, you try new things with startups, but also you got to run a big operation. >> Todd: That's right. MarTech stacks, you like to look at platforms. This is a re-platforming of the internet we're seeing with Cloud 2.0, and I want to get your thoughts on this, because you got a unique perspective at Veritas, you know, an older brand modernized in real time. That's right. New products refresh in a massively changing growth, still growth market. It's a data business. Absolutely. That's right, a 100%. So what's your take on this? As you look at the landscape, you've got the modern brand, you got to take it out there, new products. You know it's interesting, I had a really fascinating conversation yesterday with a customer, and the customer said, "You know, I was walking through the expo hall, "and I saw Amazon, I saw Microsoft, "I saw IBM, I saw Dell Technologies, "I saw Kubernetes, I saw Pure, I saw Nutanix, "I thought I was in my own data center." And it's interesting, I think about our business, and in our business, data doesn't care. Like you know data doesn't care if you're running a modern architecture. Data doesn't care if you're running Legacy. So what we're really focused on is helping companies manage data in highly complex, and extremely demanding environments regardless of their infrastructure. And Cloud 2.0 speaks to the complexity of that, because you know, these, and we were talking earlier with VMware about these categories that used to exist, these Gartner Magic Quadrants. You know, you can't put something that's not a silo in a silo, you're horizontally disrupting. And data does that, data has to move around and it's got to move everywhere. So there's no more silo boxes of categories. A 100% agree, you know it's interesting, we launched Enterprise Data Services earlier this year, and that was the precise reason why, because we've relooked at what data protection is. Data protection is no longer backing up your data from a cloud to a cloud from your on Prime, it's a much broader category. It covers how your data becomes available, how resilient you are, understanding where your data is, how it's categorized so you can respond to ransomware attacks, manage regulations around the world. So our view of data protection is a platform that is horizontal and cuts across. Well you guys, I mean the heritage of Veritas is the original data management company, right? Yeah. With no hardware agenda, and so my question for you, Todd, is what attracted you to Veritas? Softball question, so the most amazing customers any company could possibly imagine, Global 2000, the top telecommunications companies, the top banks, top stock exchanges. Secondly a product strategy that's really zoned in, back to your point about this, a platform that cuts across all of these diverse technologies and solves problems for customers that abstracts them from the complex environments that they're in so they could focus on outcomes, and Greg has done an amazing job recruiting a top notch leadership team. So it was really great product, good leaders. Okay now, follow up is you guys, you know, number one, top anyway, right and with Gartner Magic Quadrant, everybody wants a piece of your hide, (chuckles) the whole industry is coming at you. So, what's the sort of messaging strategy to keep top spot from both outward facing and also product development? Sure, sure. So we look at two types of competitors. Competitors that are offering point solutions, predominately playing in the mid-market, and when you're a large financial institution, and you have a highly complex environment, you're in a multi-cloud world, and you can't afford to have a siloed backup data. So you need to understand how your data is classified, where it's stored. So if you're responding to ransomware, and that ransomware attack is targeted to a specific server, you need to know if you have PII there, or if you have cat pictures there. If you have cat pictures there, then, (chuckles). >> John: Let 'em have it. Let 'em have it, exactly. (John laughs) So our platform cuts across protection, availability, and insights, which categorizes your data. So the data gets categorized in NetBackup, extends to the analytics platform, so you know where your data is, and you could take action on your data. The hard question of the day, instead of a softball I'll give you a hard one, you got to refresh the brand of Veritas has got a lot of pros and cons. The pros are, you know, well-known, a lot of customers, I got a customer question later, but the brand is important, because you have the new modern platform products, platform and products. Yeah, yeah. You got to get the name, Veritas has old meaning. You have a lot of older customers, you have legacy customers. How are you going to go out there and refresh? Is there any new plans there? We have a ton of plans. You know, we have the product, we have the customers. The product, the platform product is amazing. We are a quiet company, so we need to be noisier in the marketplace, and we need to insert ourselves into relevant conversations that are top of mind with CEOs and CIOs, whether it's ransomware. If you look at all of the ransomware attacks, It's a huge opportunity I read like two weeks ago in the State of Texas there were 10, 15 municipalities that were attacked. At the same time. At the same time! and we have a solution that can help customers recover from ransomware, so we have to insert ourselves in those dialogues because we have a very, very specific point of view that can help customers. Well but to John's point, right? Everybody that you compete with will say, we have a solution that, you know, helps solve ransomware. So, how do you separate from the pack? Like I said, everybody's trying to take pick you off. You know, we want a piece of that install base, right? 'Cause you got to keep the install base, and you got to keep growing, right? I'll lay down the gauntlet. I would love any competitor to showcase how they can support 500 workloads, a 150 storage targets, 60 cloud providers, at enterprise scale with a high degree of reliability. Our differentiator is we can cut across these very complex, very demanding IT environments, at scale. I want to get your thoughts on the customer journey question, because I think, you know, you mentioned the customer base, we've been following what you guys do. I mean I ran, I was in Bahrain for a regional Amazon event I was covering in the Middle East, and in the exhibit was this Veritas, and they recognized, hey, there's theCUBE guy. I was like, hey, thanks for watching. But seriously, you guys are everywhere. You got huge customers, but you probably have a lot of customers that are trying to go from here to there, VMware was talking almost specifically around, you know, you got the enterprise scale world, and they want that cloud Nirvana, and then there's that missing middle in between. So, you probably have a lot of transformational stories. What is the patterns of customer profile that you see? Some of them making the journey? Some of them are having a hard time? What's the state of the mind of the customer that you guys have? Well, we are definitely seeing a hybrid, multi-cloud world as you've heard here this week. 52% Of our customers are running in a hybrid cloud environment, and we have a core relationship with their legacy infrastructure, and our customers are asking our help to extend their data protection, and their NetBackup environment into the cloud, to backup the cloud, and across new modern workloads. So our customers are pulling us into their environments to do more. And that's cloud and hybrid basically. Cloud and hybrid. Public cloud and on premises. And our customers are also realizing that they're responsible for backing up their own data in the cloud. There's this misperception in the industry that if I move to a cloud provider, the cloud provider will manage my data, when in actuality you are still responsible for your data. You know, Amazon with security has a shared responsibility model. They say, okay, we protect the EC2, the infrastructure for S3, et cetera. You're responsible for pretty much everything else. And I think that you could draft off that message. Yeah, yeah! You guys too, a couple of years ago, had a great event call Veritas Vision where everybody came in, and then you changed that. Now you sort of go to where the customers are, and I'm wondering, how's that working out? It predated you. Yeah! Yeah, yeah, yeah, yeah, yeah! So I won't ask you why that decision was made, but you know, how's it working out? I mean, a company like yours, there was like four, 5,000 people there, it was a really good event. So, a great question, and a highly relevant question, because we're just about to launch our series. So, you know, having run large, large, large user conferences, and you look at distribution of your customers and, you know, you typically find that 80% of your customers are coming from the US. You look at our customer base, global international customers. We have a high percentage of customers that are outside of the U.S. So, our strategy is let's take our user conference, let's take our message, let's take our value proposition to the customer. So, we are kicking off next month an entire series around the world, Germany, Paris, Rome, Seoul, Bali, Singapore, Melbourne, our vision series, where it's our anti-user conference. We're taking content directly to our customers. Is this regional or are those cities based? How is that segment? City based. So it's like an Amazon Summit kind of thing you go to? Yeah, yep. Okay so as a follow-up. So, as a seasoned pro in this space, why either, or, why not do both? I mean there's a budget obviously is one thing, it's expensive to run these events, I get it, but. I would prefer to put more money to where the customer is at. The field, kind of. Yeah, into the fields, you know, one of the life lessons of being a marketer is go to where the customer is. Don't try to get the customer to come to you. Well, your head of sales will love that message, you're going well. (Todd laughs) So our strategy is to go where the customer is. Yeah, and that does help sales actually. So, while you're on that point, you're a very progressive marketer, for the folks that don't know you, I'll share with them that, you know, you like to try things, and you love start-ups, and you love to promote new things. The marketing stack, I've said on theCUBE, and we'd love to have you challenge us if you want, love to debate it, I said, the MarTech Stack just didn't pan out. I mean, it worked? No, no, it didn't, no! Did it work? Is it evolving? Is it siloed? Is the cloud changing the MarTech Stack? So again, pretty aggressive statement, but my point is, email marketing was great for that generation, still is. There's new organic flows, maybe I'm biased, but I'd love to get your thoughts. How is the marketing tech world evolving with cloud computing? So, I'm going to say something provocative. >> John: Okay, all right, here we go. I think the CRM industry has gotten B2B marketing wrong. What I mean by that is you look at most CRM capabilities in B2B and they're focused on an individual. They're focused on a lead, they're focused on nurturing an individual, but if you look at our customers and enterprise, individuals don't buy, buying groups, committees, and accounts buy. So where we're focused is looking at accounts, and understanding account company based behavior that shows buying intent and triggers, which then initiate our marketing. So it's not built around a lead, it's built around-- >> John: So account based marketing? Account based marketing, but account based insight and intelligence around, is there a project or buying opportunity? And you know our good friends at Manigo, that's what they do, which is AI driven, trigger-based marketing. And that's where I think the industry is going. And what's your thoughts on organic marketing, because one of the things that's hot, is we live this world with theCUBE, and we've been kind of pioneering this model where co-creating content together and pushing it out into these digital streams is an organic process. It's technically earned media and PR parlance, but we're seeing the evolution of the CMO-like action around storytelling, right? And so, like community based storytelling, it's an organic function, it's hard to control. You can't just buy it, it's got to be kind of nurtured or enabled. That's right. What's your view on that? Because this is an emerging trend we're seeing, VM were just reorganizing a whole storytelling integrated group of PR pros, that are acting like the marketing, in their marketing. Well you know, one of the most active, customer segments we have is our VOX Community, and if you think to your point about co-creation of content in collaboration, our VOX Community collaborates on solving problems that customers have, they call that-- >> John: Can you take a minute to explain, what is VOX Community to us? VOX is a community of our technical users, where they help each other share best practices and solve problems. >> Dave: A lot of how-to? A lot of how-to-- Not Vox Media. Not Vox Media, correct. Just need to make sure to get that out there. Forums, there's videos. Is this your community, or is it third-party? Veritas. Okay, Veritas. It's a Veritas community, yeah. And then to your other point, John, the marketing world has changed. We've quickly moved into a world where we now have an anonymous relationship with our customer, with email, with direct mail. Yeah, we're always driving to registration to capture a name, that world is long gone. A Facebook show that's been weaponized, so you know. Yeah, that's right. It's the data business, at the end of the day. The user experience is horrible, right? Everybody hates that, and so yeah, there are other ways now you can use data, you can infer. Yeah, that's right, exactly. You can read the tea leaves, and probably make a pretty high prediction, or highly accurate prediction. What is the most under reported trend that you think marketers should look at in terms of capabilities that are working out in the field for you? I would say the ability to leverage predicative analytics, call it AI or machine learning, understand what's happening at an account, and whether there's a buying trigger. I think accessing that information, learning from that information in terms of how should you initiate a selling motion, and then enabling the sales force with that intelligence, I think is a wide open territory. All right, we got a-- So a couple of other things. If I can? Yeah! Just to get it in. So you guys made a big platform enhancements a couple of years ago, and then a big eight dot, whatever it was, eight dot something, two, three, five. I think it was 8.2. Customer momentum, can you update us on that? Maybe even customer examples, and then I've got a partner question for you. Yeah, so I talked about the value of the platform, and we'll take Renault as an example. So Renault, a NetBackup customer, Renault wanted to make their virtualized SAP environment highly available, and they looked at a variety of different solutions, and they looked at some solutions that were homegrown and others, and they realized just extending the Veritas platform was faster time to market, 60% cost savings. So, there's a perfect example of a customer leveraging our platform play. And a couple partner questions. So, you know, we're here at VMworld, so your VMware partnership obviously pretty important, and then we're at Pure Accelerate next month, you guys are there, you got a big presence there, I know you got a tight partnership with them. That's right. Give us the partner update. Partner update, so we have very solid relationships with Amazon, Microsoft, VMware, Google, Nutanix, Pure, and that's where we're really doubling down in terms of technology integration, joint go-to-market. >> Dave: Great. And the community site is vox.veritas.com, I just was checking it out. Thank you for the plug. There's a church one, there's a religious one, not to be confused with Vox Media, so just want to make sure everyone got that URL. We think community is super important. Thanks for coming on theCUBE Excellent! and sharing your insights. Thank you gentlemen. Thank you. Todd Forsythe, CMO of Veritas. More live coverage of VMworld after this short break. (upbeat dance music)

>> Announcer: Live from Las Vegas, it's The Cube, covering IBM Think 2018, brought to you by IBM. >> Welcome back to The Cube. We are live in sunny Las Vegas at the inaugural IBM Think 2018 event. I'm Lisa Martin with Dave Vellante. Dave, this weather has got to beat Boston hands down, right? >> It was beautiful yesterday, about 15 degrees in Boston, snowy. >> So you thawed out since you've gotten here? >> I took the snowshoes out, actually. Life makes lemons. >> Exactly, and we have another cold-weather guest who's probably thawing out as well, Ranjana Young, the senior vice president of Enterprise Data Services from Northern Trust, welcome. >> Thank you, thanks for having me. >> We're excited to chat with you. You have a role at Northern Trust, and your mission is all-around data, five-core competencies, including data governance and stewardship, data quality, master data management, enterprise integration with data platforms. Tell us a little bit about your role, how long you've been doing that, and really what this focus on data is enabling for Northern Trust. >> Sure, I want to talk first about our mission as you had mentioned. I think it was critical to establish a broad mission for Northern Trust. We wanted to make sure that we establishing an enterprise data program that enabled our customer needs and overall our customer experience, but also truly helped support our regulatory needs that we had, and it was critical to establish those two as the main goals, not just one or the other. And then the role, I call myself a change agent because establishing capabilities that you talked about, it is difficult to do, with a lot of legacy that we have. The firm has been in existence for 128 years To establish a data-driven culture was very different. I think we were known to do provide good business solutions, but a lot with the gut, given that we were good at it, but how do you make sure that you change that culture and have a relationship managers and others really think differently and use data to provide those solutions to our clients. >> I remember when I met Inderpal Bhandari, I'm sure you know him, and he said that he has a framework for a data leader, and he said there are five things a data leader has to do to get started, and three are in parallel, or sorry, three are linear, two are in parallel. I don't know if you've heard this rap, but I'd like to sort of explore them and see how your three are generally. He said you start with understanding how the organization monetizes data, not directly, maybe selling data, but how it contributes, and then the next one was sort of data access and then data quality. Those are the sort of sequential activities, and then the parallel ones were form relationships with a line of business and then re-skill. So those are his five. How did you approach it, what was different, what was similar, what were some of the challenges that you had in doing that? >> Sure. If I had to think about kind of, to correlate some of the components of the strategy, skills is an important thing. When I started establishing the team three years ago, it was critical that we had to bring some of the core skills within the firm because they had the business capabilities, they understood the systems, they understood kind of the skeletons that were in the closets and knew the culture and also embraced the challenges and still could find solutions. And then you had to bring external folks that really had the capability to drive that change, had the mastery of management skills to really support and set up an account domain and a party domain, a reference data domain, especially an asset domain, et cetera. So we had to look at kind of a conglomerate of individuals to do that. And then if you look at kind of where was the starting point in terms of really establishing the program was, we were going through a transformation to really re-platform a lot of our legacy, whether it was our valuation system or our cash platform, others, and data was a thread throughout all of those programs, so it was critical to establish and think and take bite-sized chunks, it was important to think about, okay, throughout all the programs, what is the important data that we could kind of understand, so we focused quite a bit on initially looking at critical data and looking at critical data from a master data perspective, so asset data, which is very critical to the work that we do on the institutional side. As you know, we had a management asset servicing company. Data is an asset for us, we enrich the data. We provide services around that today, and have been, and so embedding data governance through that process was important, and also our clients were really looking for the enriched data but also were looking for clean information but also were looking for where did that data come from? Where does the definition of this data? So kind of giving them that external catalog of here's the data, but here's the enriched data and here's the metrics for data quality around it, and then here's the definitions for it. So to some extent, that drove change because of customers were looking for it, and a lot of the capabilities that were foundational to the firm, we're starting to externalize, especially the meta-data catalog, et cetera. >> So if I could play that back, so you started the team, all right, you said, okay, I need to build a team. I think I heard that, and then the data quality, and then presumably, okay, who has access to this data? Is that about right? >> So I started with the mission to say, we have to do this for both arms, the left arm being our customer experience and making sure that we change the way we're doing our work there, or enhance the work so that our customer experience was better, and then obviously the regulatory, make sure that we need the regulatory. So for that, we needed five core competencies. We knew that we had to establish a role of the steward, a role of the custodian, so the team started to become very critical then, and then we knew that we had some gaps in our master data management capability, a complete gap in having integrated data platforms. I notice I've talked a little bit about we established a whole strategy and architecture for ING. I totally relate to how we had to do the same. Each silo did their own particular thing. The management did their own thing. >> David: By data. >> The institutional side did their own thing. Asset management was, I would say, a lot more mature. So I would say if you were to think about it, it's establishing the mission and establishing the team. >> And then, just one last follow-up. The services that you're providing, data services, those are delivered through your organization, the IT organization, what's the practice? >> We have a partnership, a very collaborative partnership that we work together. The technology team does all the build for the work, we work collaboratively to kind of build a strategy of what solutions need to be first versus later, given the client priorities and our institutional side, our business unit priorities, so that's a collaborative effort, working together. >> So speaking of collaboration, you mentioned earlier that it was really key to have both the veterans within Northern Trust and their expertise that you said kind of the skeletons, that they know where things are buried, as well as that maybe external, you might say more fresh perspective. You also talked about, we chatted before we went live, about governance. Seems like what you guys have done is kind of flipped governance from being viewed as potentially an inhibitor to really empowering, being an empowering capability. Can you tell us how you've leveraged data governance to empower a data-driven culture within a business that is 128, I think, years old, you said? >> Yes, that's right. So, for us, I think that while we were establishing the program, it was very critical to understand kind of the challenges on the institutional side first because they had the maximum number of challenges with data. Again, because we're an asset servicing company, a data is an asset, we enrich that information and provide that information, but what was happening was it was taking us so much longer to provide these solutions to our clients, so we've embedded, now, the data governance framework as a part of that solution, and our clients are seeing the value, so if you look at one of the customers that we're working with, we actually have externalized our catalog where they understand now what data that they're receiving, and you're speaking the same language, and that was not the case before. But again, as I said, if we didn't do the foundational work of cataloging the information, understanding what the data is, where the data is, what the data assets are, we just couldn't have done that, so it's really paying off because of that. >> How has that affected your ability to be prepared for GDPR, which obviously went into effect last year, the fines go into effect in May of this year? What was the relationship there? >> So we have worked very, very closely with our chief privacy officer, and we've really done a phenomenal job of identifying where our highly sensitive data assets are. We're in the process of cataloging all of them through the unified governance framework that we've established, so we leverage IBM's IGC NIA to do all that work, and the lineage all the way to the authentic source, which is something the regulators definitely are looking for, so are we fully, completely done yet? No, so we're in that journey, and with unstructured data, we're looking at discovery tools to kind of provide that. We have a solution that's a little manual at this point, but we hope to kind of make more progress on that side. >> I got to ask you, so around 17%, the data suggests, 17% of the IT, technology industry is women, but I was at an IBM, it was a Data Divas breakfast that I crashed, I snuck in, one of the few guys there. >> Oh, very cool. And there was a stat that around 30% of data leaders are women, I don't know, it was a sort of a small sample, who knows? Sounded a little high. Somebody said it's because it's a thankless job and women have to take it on, so thoughts on women in tech, women in this role, perspectives. >> So I am excited to meet a few here at the conference. That statistic is pretty high that you're stating. I don't see that. >> David: It's outside that. >> In the industry, I do find myself sometimes as a lone warrior, at least in the industry forums, but I think it's growing. I think especially women in technology, women in leadership on the line of business side is growing, and Northern Trust, I'm very proud to say, is big around diversity and providing opportunities to women, so from that perspective, I think I'm excited that women are taking interest in data, yes, it is a very hard job, so I think, I feel like we are organized, we get a lot done at the same time, so I think it's really helped. >> Other than it's the right thing to do, are there other sort of business dimensions? Is it Mars versus Venus? Are there sort of enrichments that a woman leader brings to the equation, or is it just because it's the right thing to do? >> I've seen tenacity women have. No offense to anyone, I think the higher tenacity to be persistent. >> I don't take offense. >> To be methodical, to be methodical, and also to have the hard discussions in a very factual way sometimes, but also in, yes, this is the right thing to do, but is there ways we could make this change happen in a systematic, bite-size chunk way. Sometimes I think those coercive conversations help a lot more than the others, and I think, to me, I would say tenacity, tenacity. >> I love that word. I have to say, that's a word that's oftentimes associated with males. A lot of times a tenacious woman, it's a different adjective, right? It's a term, I don't know, Lisa, what your experience has been, so that's good, a good choice of words in my view. >> I've heard pushy before, and I think what they really meant >> David: There you go, okay. >> Is persistence. (laughs) >> That's right. >> A man is tenacious, a woman is pushy. You hear that a lot. >> Right, I think it's persistence. So last question for you. Here we are at the inaugural IBM Think 2018. You guys are an IBM Analytics Global Elite Partner. Can you talk to us a little bit about that strategic partnership and what it means for Northern Trust? >> This partnership has really helped us tremendously in the last three years while we were putting the strategy to action while operationalizing data governance, while operationalizing a lot of the capabilities we thought we would have but really kind of bringing that to life. We're also really excited because lot of the feedback that we've provided has gone into kind of redoing some of the products within IBM, so we've definitely partnered and done lot of testing for some of the ones, the beta versions, and it's also helped us, I think, sometimes it's been like a marriage. We've had hard times getting through certain hurdles, but it really has paid off, and I think the other thing is we've really operationalized governance to the core at Northern Trust. I think IBM is also seeing value in sharing that our story with others because others have started the journey but may have taken certain different approaches to making that happen, so all in all, I think that the unified governance framework has really helped us, and I think we really love the partnership. >> As a client, what's on their to-do list? What's on IBM's to-do list for you? >> So I think one of the things that we've been talking quite a bit is we have a new CIO, and he's really interested in the cloud strategy, I know you've been talking about that. Again, we're a bank, so due to regulation there's strategies in terms of private versus public cloud. That's one conversation we'll definitely want to take further. We want more integrated tooling within the unified governance platform. That's something that's been a topic that we've discussed quite a bit with them. AI, machine learning, robotics is huge for us, so how do we leverage Watson much more? We've done a few POCs, how do we really operationalize and make sure that that's something that we do more of, so I think I would say those three. >> So sounds like a very symbiotic relationship. >> Ranjana: It is. >> Slash marriage that you have. Ranjana, we want to thank you for joining us and sharing how really kind of you're exhibiting the term change agent in a tenacious way. >> Okay, thank you. >> I feel like I want to say I'm flanked between two data divas, you don't take offense at that, do you? >> No, not at all. It's a compliment. >> You crashed an event. I'm seeing a new >> I like that. >> Twitter handle come up here. We want to thank you so much again for stopping by and sharing. Congrats on your success, and we hope you have a great time here. Enjoy the sunshine! Maybe bring some back to Chicago. >> Will do, will do, yeah. Thanks again, very much. >> And for Dave Vellante, I'm Lisa Martin. We want to encourage you to check out thecube.net to watch all of the videos that we have done so far and will be doing at IBM Think 2018, and of course on all of the shows that we do. Also, head over to siliconangle.com. That's our media site where you're going to find pretty much in near real time synopsis and stories on not just what we're doing here but everything around the globe. Again, for Dave Vellante, I'm Lisa Martin, live from IBM Think 2018 in Vegas. We'll be right back after a short break with our next guest.