why from Las Vegas it's the cube covering implementing a world 2018 machito by informatica okay welcome back everyone's the cube live here in Las Vegas at the Venetian ballroom is the cubes exclusive coverage of informatica world 2018 I'm John for your host in analyst here with Peter Baris host and analyst here for two days of coverage our next two guests are jitesh guy who's the senior vice president general manager data quality security and governance for informatica and barry green the chief data officer for bank of ireland great to see you attached great to have you on the cube and great to be here so love having two to smart people talking about data GPRS right around the corner and friday you're at the bank of ireland so in the middle of it while you're in you're in this in the territory you're in the heart get any sleep what talk about your role at the bank what are you guys doing I want to get into the GDP RS right on our doorstep it's going to major implications for data as a strategic asset talk about what you do so for me we've created a daily management framework frameworks pretty simple map process get context for data put it into the business data model or sign ownership put data quality over it and then maintain it using a risk model operational risk model now it doesn't matter with GDP our or becbs whatever it is it's about adding value to data understanding day they're using it for them and making sure you've got better customer experience all the good things you know GDP are is important but it's not the only thing you guys are new to managing data and certainly complies your financials bank so it's not a new thing what is how is GDP are being rolled out how is it impacting you guys what are you paying attention to what's the impact so the big thing about GDP are is we're having to understand where our key customer data's sits in the physical systems we're looking at mapping key processes something to see and what it's used for we're assigning ownership to people who own data so we can basically make decisions about it in the future GDP ours a bit like becbs that's going to evolve right you're not going to be GDP are compliant on May 25th you're gonna have to put in place the infrastructure the tooling the governance the management to make sure that as an organization you know you were using data the way it's supposed to be if you want to be a digital organization you have to manage data this is just pushing along they had evolution of data being important to an organization but just as y2k wasn't about making the world safe for mainframes in the year 2000 it forced a separation and understanding of the separation that's required between applications and data so gdpr is another one of those events it's forcing a separation in this case between data and the notion of data assets great so take us through how the thought process of gdpr has catalyzed new thinking within the bank about how we think about data differently as a consequence I think what it's done so we've developed the framework so we can apply it to any problem right I think what it's done is it's raised up data's the risk of data more generally so people talk about data as an asset I've talked about data as a liability right so it's a contingent liability if you think about gdpr it's raise that awareness up that we can't continue to operate and tricked out of the way we have in the past so there's a whole cultural change going on around how we treat data and there's a big understanding training going on about everyone knowing why they use data making sure that they don't use it for the purpose it's not used for and generally it's a big education cultural change very how would you describe the mindset for this new thinking it certainly I agree with you it's at the strategic nature center the center of the center of the value proposition right now on all aspects not just some department what's the mindset that people should be thinking about when they think of data okay should I have access to this data but do I need it for the role I'm undertaking and if it was my data would I be treating it you know how would I shred it how would I want it to be treated even if you're the subject yeah exactly it's almost like you know if I had my data being used for certain thing context is that the way I'd want my data treated there's almost in the old adage you know do unto others as you would have you done to you yeah ethics is important yeah to church talk about the informatics opportunity because you guys really timings pretty awesome for informatica with the catalog you guys have an interesting opportunity right now to come in and do a lot of good things for clients that's that's exactly right we've we've been working very hard with our clients over the last 18 months to help them on this gdpr journey what we you know think of as supporting their privacy and protection and and you mentioned catalog you know our we have our enterprise data catalog powered by Claire our AI machine learning capabilities and metadata and that helps you get an organized view of all your data assets within the enterprise leveraging that same technology we have a security source offering which is effectively a data subject catalog to help our customers understand where exactly is the data subject sensitive data not where the organization's data is but the data subject sensitive data within the organization where their national identifiers information is how where their personal home address email phone etc is and how many occurrences and what systems why so that our customers can take that information and more effectively respond to the data subject if the data subject wants to invoke you know the right to be forgotten or right for data portability etc as well as take that same information and demonstrate to the regulator that they are processing this sensitive data with the appropriate with the appropriate consent from the data subject as well as have the systems I presume to then be able to expose to the subject the reasons why the data may in fact still be part of the asset of the bank correct so I I hadn't heard that before we've had other company cells that they're going to help companies find subject data but you guys are taping us taking a step further and allowing the bank for in this case do we have to look at that data from the subjects perspective exactly right because it's not just with some regulations financial regulations you need to demonstrate the quality and trustworthiness of the data here at to the regulator here it's demonstrating to the data subject themselves the individual themselves how you're processing how you're treating their data how protected or unprotected it is and and how you're using it to market to them how you using to become part of the metadata that's exactly right it's using the same metadata foundation too but focused on the data subject specifically interesting interpret ection aspect of it if I say I want my right to be forgotten and you can hold data for something mean where's the where's the protection aspect for the business and the user is there conflict there how do you guys handle that yes that's interesting there is a conflict so there's a conflict already with an existing regulation so you know um the thing that a lot of people aren't talking about is you can hold data so if someone can't just delete data if you want to hold an account or you know these reasons for using it you got a legitimate use for using it you can still hold it you have to tell a customer why you're using it so there's a lot of context here which they didn't have before so it's giving the customer the power to understand what the data is being used for the context is being used for and so they know it's not gonna be used for sort of spiritless marketing campaigns it's being used for you know the reason that does that extra work for you guys is that automated this is where we start to get into the question next yeah which is a context the context is the metadata and you're going to be able to capture that context explicitly as these data elements have this context in metadata allows you to do that with some degree of certainty and you know relatively low cost I assume it's all about reuse right so a lot of what we've done in the past and on its way at the bank um to me everyone's done in the past is they've understood something and then thrown it away so with Exxon you can record it you know record it then with the metadata you can join the metadata in Exxon so you can do in a high level process understand what data is used at the context is used for who owns that quality all these kind of business relevant things then you put the metadata out and you've got a system view it's very very powerful so the technology is starting to allow us to automate but it's all about gathering it reusing it and making sure you understand it right that's for you know from a from a data subject catalog standpoint you get the technical metadata it tells you across your data landscape where all the sensitive information is for Barry green you marry that up with the business metadata of how is that sensitive information being used in every step of let's say customer onboarding your mission critical business processes within the organization and that's what you demonstrate to a data subject or a regulator if this is how I'm processing it based on this consent now if they invoke the right to be forgotten there's various things you can do there because there's conflicts you can just mask the data using our masking capabilities and then it's true forgotten or you can archive the data and remove it from a particular business process that is marketing or selling to them if that's so yeah choice is it some flexibility correct or or slight maybe slightly differently Mystere forgot that's right you can get work out of that data in an appropriate way so the customer can be forgotten so that this this kind of work now that you cannot apply that data to marketing whatever else it might be for when it comes to understanding better products or building better products whatever else through masking you can apply the data still to that work because it's a legitimate use under the law exactly also think about the fact you've mask key critical data right so the thing about data privacy in general was you know if you can't understand a data subject so if you can hide certain pieces of data and you can't identify them you didn't aggregate it you can it's not personal data anymore so you know there's this some real nuance there's a lot of people aren't talking about these things but these new icers will be surfaced yeah yeah because certainly it's a it's the beginning of a generational shift there gonna be some pain points coming online I mean we're hearing some people complaining here and there you guys are you know used to this some industries are like used to dealing with Brad you know compliance like no big deal some people are fast and loose with their data like wait a minute I said you can't be a digital wanker we can't be a head of digital propositions you don't understand your data you know you and you don't understand it and manage it so this is an opportunity to do this across the enterprise it exposes companies that have not planned for an architected data whether that's investment in data engineering or have staff this is a huge issue and pools and tools that can't support that process I mean if you got a I mean people are looking in their organization going oh man we've really don't have it or they're ready the exciting part is you know organizations have focused on quality and trustworthiness of their data we're now taking that same data and focusing on the privacy and protection and the ethical treatment of it and leveraging the appropriate technologies which happen to be very similar fundamentally for quality and Trust and privacy and protection and and in the absence of a global standard for GDP our we're we're seeing organizations without GDP our as a de facto standard in fact Facebook just announced that they're treating all users data you know that was one of our research predict yes yeah very obvious I mean we'll see how eleven have any teeth or anything but you know Facebook's got their own challenge but it's an opportunity for a clean sheet of paper Friday May 27 I'm sure there's gonna be a ton of class-action lawsuits against Facebook jitesh Barry thanks for coming on great to see you thanks for everything in Ireland we're here on the open and informatica world right and written the solutions expose the cue bringing you all the data right here in the catalog you got the cube dotnet check it out I'm people John free with Peterborough's stay with us for more day to coverage at different Matic world after this short break

>> Announcer: Live, from Las Vegas, it's theCUBE! Covering Informatica World 2018. Brought to you by Informatica. Okay, welcome back everyone, this is theCUBE, live here in Las Vegas at The Venetian, this is Informatica Worlds exclusive coverage with theCUBE, Informatica World 2018, I'm John Furrier, with my co-host Jim Kobielus, analyst at Wikibon, SiliconANGLE, and theCUBE, our next guest is Tracy Ring, Vice President at Deloitte Consulting, great to see you again. >> You as well! >> So, love havin' you on, last year, you know, we go through all the interviews and, you know it always comes up, and this is important, you know we are passionate about women in tech, inclusion and diversity, huge topic, the job's never done, in fact, I was in New York last week for a blockchain event, and I wore a shirt that said: Satoshi's Female. (Tracy laughing) And I literally was getting so many high fives and, but it's not just women in tech, there's a role that men play, this is, sort of an ongoing conversation so. What's the state of the industry, from your perspective, how do you see it? Obviously the data world is, indiscriminate data is data, >> Tracy: Absolutely. >> It should be 50/50. >> Yeah, you know I think that the, the opportunity is multi-faceted, right? So we're in a place where technology is changing unbelievably fast, we're graduating nearly as many men as women in, fields of science, data analytics, computer engineering, etc. But what we're not seeing, a combination of women in leadership roles as much as we would expect, we're not seeing the retention of women in those roles. And for me, I'm really passionate about the fact that supporting, attracting, and keeping women in those roles, is really critical, right? There's an interesting facet to how this all really, really plays together, Deloitte for 20 years has a women initiative, right? 20 years of supporting women, embracing them, helping them support leadership roles and, and I think that the time is now. If not, it's long overdue, to really support them within this field. I also think that women in data, an initiative that we're launching this year, and having our launch event today, is sort of super timely because women in data is not women who only become CIOs, or will only become CDOs, these are women that will be the Chief Marketing Officers, the CHROs, and using data to tell their stories. >> You know, we had a guest on earlier, who was a man, but he was the head of the CDO for the Ireland Bank, and Peter Burris asked the question, said hey, where did you come from technical? No, he came from the business side, who knows technology, this is what you're getting at, and I think this is something that we've been seeing as a pattern that you don't rise up through the ranks and be super nerdy, although that's cool too, and there's a lot more STEM action but there's also multiple vectors into the field. You can come from business, and know tech, and a lot more tech is consumable, and learnable, either online, or through some sort of other proficiency so, this is a big story and so, how do you guys, looking at that, at Deloitte, I know Deloitte's got the track record, but this all scales beyond Deloitte, right? It's an industry thing. >> Tracy: Absolutely. >> How are you guys seeing this? How are you looking at helping people, either connect the dots, or support each other? What's some of the latest and greatest? >> Yeah, I mean I think Informatica is part of what has created the case for change, right? We've democratized data integration, we have, you know, made self-service analytics, we've put data in the cloud in everyone's hands, right? So technology is out there more, every single day, and I think the unique part is, is that, when we think about diversity wholistically, and I think of diversity from ages, and geographic, and gender, etc. I think really being able to take all of that diverse experience, and be able to listen to business user's requirements in a way that they can hear it! And listen for something different, right? And brings skills to bare, that aren't necessarily there. I think if we can build better technology, that's more future-proofed, based on having a diverse crowd listening, and trying to build something that's far more compelling than, you know, I asked for X, build me X. I think when we really do our clients, and the world of justice is when we, you know, someone asks for X, and you ask them 10 more questions, and heavy--what about this? And what, and what, and what? And I think really being much more inquisitive, giving people the ability to be inquisitive, and bringing more opinions to the table to be inquisitive. >> And bringing more diversity of practice, makes the applications better, so that's clear. We see that in some of the conversations we have, but I got to ask about the question of roles, what are you seeing, kind of, you look at the trends, are there certain roles that are, that are being adopted with women in tech more than others? Less, trending down, up? What are some of the trend lines on, either roles in tech, for women? >> Yeah, you know, I think that over all, when I had the opportunity, so when we decided, we're going to launch a program within Informatica. We want the women who are going to be the Chief Data Officers of tomorrow. And it was a great question because, actually what we ended up saying is, the Chief Data Officers of tomorrow could be so many different current roles right now, right? And how do we really, kind of, attract the right women into this cohort, support them for a long year and, provide them the forum to network, connect with others, understand different career paths. You know, looking at what we're seeing, you know, with GDPR, and regulations, and all these other things happening, you know, the concepts and roles that didn't even exist years ago, right, so data governance leads and, Chief Analytic Officers, and all of these-- >> James: Or Chief AI Officers! >> Exac--(laughing) >> How do we bring women into the hottest fields like AI, deep learning? If you look at the research literature, out of, both the commercial and the academic world, many of the authors of the papers are men, I mean, more than the standard ratio of men to women in the corporate space, near as I can tell, from my deep reading. How do you break women into AI, for example, when they haven't been part of that overall research community? That's just a, almost like a rhetorical question. >> Yeah, how do you not, you know, it's just impossible to not bring them to bear, the skills, the talent, the ingenuity, I think it's absolutely mandatory, and someone said to me, they said well, why are the men not invited to this event? Why are they not in the cohort? And I said, you know, because there's a component of all this, that we want to grow and foster and support, and create opportunities. You know, one of the women that sat on our board today said, you know, I'm not somebody who's going to golf, I'm not someone who's going to go to a sports game, I'm going to meet you in the board room, and we're going to talk about compelling topics there. And so I think it's about, encouraging and fostering a new way of networking that's more aligned with what women are interested in, and what, you know, sometimes we do best and, I think creating an opportunity for a different type of everything, in the way that we operate is important. >> I think self-awareness, for men, and this also, creating a good vibe, right? Having a good vibe is critical, in my opinion, and also, you know, not judging people right, you know, based upon, you have some women say, hey I like to get dressed up and that's what I am, some people who don't want to go to sports and, some guys want this, so I think generally, there needs to be, kind of a reset, like hey, let's just have an open mind and a good vibe. >> It's like lunch and learns, you know, lunch and learns are, are a great enabler for centers of confidence, to get together on a regular basis, to talk about business and technical-related things, but also it's a social environment. How can you build more of those kinds of opportunities into the corporate culture, where, they're not skewing, the actual socializing, to traditionally male-dominated hobbies or interests, or traditionally female-dominated hobbies or interests? How can you have, sort of a balance, of those kinds of socialization opportunities in a professionally appropriate environment that also involve a fair amount of shop talk? 'cause that's what gets people bonding, promoted in their careers is that they do deep shop talk in the appropriate settings. >> Yeah, it's interesting, one of the women that I personally consider a mentor, she said if it wasn't for data, I wouldn't be where I am today. And she said, you know, I grew up in and industry where, unfortunately, I really didn't have a voice at the table, and my voice at the table came from data, it came from my ability to see connections, patterns, and detect things, and also for my ability to create networks of people, and make connections and pull things together in a way that my colleagues weren't doing. And, you know, when she tells that story I think that's, that's the template, right? >> John: That's the empowerment. >> We want to say, use everything at your bevy to bring the best value to your business end-users, and she's connecting the dots in a way that no one else had, and is using data as really, the impetis to really, solidify everything that she's saying, it's inarguable. >> That's a great story, it's a phenomenal story. >> It's just amazing. >> Once she got into power she really drove that hard, that's awesome. Well, let's take that to the next level, so, you know, I have a daughter as a junior at UCAL Berkeley, and she's a STEM girl, and so she's got a good vibe in there >> James: STEM girl, I have a stem girl too, mines 28 now. >> You know, and so, kind of aside, but she, turned away from computer science because, at, you know, in middle school the vibe wasn't there, right? And it was kind of a social thing, we mentioned social. You're advice to young women now? Because we're seeing people with the democratization, you see YouTube, you see all these tools, you got robots, you got makers, of course, you got data, you've seen a lot more touch points where people can, you know, ingratiate in unthreatened, un, you know, just, getting immersed in tech. So you have, you're starting to get people the taste of not being tracked into it. So, what's the advice for young folks trying to navigate? And is it networking groups, is it mentoring? What's the playbook in your mind? >> Yeah, I think it's a combination of everything that you've mentioned, right? I absolutely think that your network, and what one of my mentors calls your sleeper network, right? The network that's out there, the people that I worked with five years ago, and we worked, and were in a war room til two a.m. and you know, then I, I just got busy, right? And reactivating your sleeper networks, you know, having the courage to kind of, keep people apprised, using social media, in a way that people, you know, the number of people that say, oh I didn't know you were up to this, that, or the other, thank goodness you posted. And so, I think using all of the technology to your advantage. And I also think there's a component of someone, I mean, I had an MIS degree for undergrad, and I started out as a developer. >> You might have to explain what this is for the younger generation. (laughing) >> Oh, I know, how crazy is that! Oh my gosh, >> Is that in the DP department, was that in the DP department? >> Can you imagine. But I wasn't interested in technology that much, it was what was going to get me a job and, and I thought I would become a business analyst, I've stayed with it, and now really passionate about tech, but, I think there's a component of all this that, every job, you know, the CHROs, the CAOs, all of the roles that roll up, you know, every finance person I know that's exceptional, is phenomenal with data! Right? And so, I think, not only creating a network of people that are in the industry, but I think it's about telling the stories outside the industry, and telling the oh my gosh, you'll never believed what we learned today. And I think that's the magic of the stories, and being transparent. >> Well Tracy, you're an inspiration, thanks so much for coming on theCUBE, really love the story. I got to ask, what are you up to now? Tell us what's up with you, obviously you've moved on from MIS, Management Information Systems, part of the DP, Data Processing department, that's many computer days. >> Tracy: Oh my. >> Oh my God, we're goin' throwback there. >> Tracy: Absolutely. >> What're you up to now? What are you havin' fun with? >> Yeah, so my day job, I have the luxury of working across our cognitive analytic, and our PA alliances, which is an insane mouthful, but it means I get to work with some of our most exciting alliance partners that Deloitte is building solutions, and going to market, and getting really great customer stories under our belt. And I think really kind of blowing the doors off of, of what we did three years ago, five years ago, and 20 years ago, when MIS degrees were still being handed out, so. >> A lot more exciting now, isn't it. >> (laughing) It's way better now! So. >> I wish I was 23 again, you know, havin' a good time. (Tracy laughing) >> Yeah, so, really wholistically, seeing what we consider ecosystems and alliances, is, that's my day job. >> Tracy Ring, Vice President at Deloitte, great story, fun to have on theCUBE, also doing some great work, super exciting time, you got cloud, you got data, it really is probably one of the most creative times in the tech industry, it's super fun to get involved. This is theCUBE, here out in the open, at Informatica World in Las Vegas. I'm John Furrier with Jim Kobielus, be back with more, stay with us! From Vegas, we'll be right back. >> Tracy: Thank you. (bubbly music)