>>from >>around the globe. >>It's the cube >>covering Data Citizens >>21 brought to you by culebra. >>Well how everybody john Wallace here as we continue our coverage here on the cube of Data Citizens 21 it is a pleasure of ours to welcome in an award winner here at Data Citizens 21 were with Jacqueline Osborne who is the Managing Director and risk and Finance technology executive at Bank of America and she is also the data citizen of the Year, one of the culebra Excellence Award winners. And Jacqueline congratulations on the honor. Well deserved, I'm sure. >>Thank you so much. It is a true honor and I am so happy to be here and I'm looking forward to our conversation today. Yeah, what is it? >>It's all about just the concept of being a data citizen um in your mind um what is all that about? What are those pillars in terms of being a good data sets? And that gets to the point that you are the data citizen of the year? >>I think that's such a good question and actually is something that I don't even know if I know everything because it's constantly evolving. Being a data citizen yesterday is not what it is today and it's not what it means tomorrow because this field is evolving but with that said I think to me being a data citizen is being is having that awareness that data matters is driving to that data as an asset and really trying to lay the foundation to ensure its the right data in the right place at the right time. >>Yeah, let's talk about that high wire act because it's becoming increasingly more complex as you know, you've been in This realm if you will for what 15 years now? I believe it has evolved dramatically right in terms of capabilities but also complexity. So let's talk about that, about making finding the relevance of data and delivering it on time to the right people within your organization. >>How much >>More challenging is that now than it was maybe five or just you know, 10 years ago? >>I mean it's kind of crazy. There are some areas that make it so much easier and then for your question in some areas that make it so much harder. But if I can, let's start with the easier because I think this is something that really is important is when I started this, I've been in data my entire professional career, I've been achieved data officer since 2013. Um and when I started, I used to joke that I was a used car salesman. I was selling selling something this idea of data quality, data governance that nobody wanted. But now, so the shift of your question is the good if I am now a luxury car salesman selling a product that everybody wants, but shift to the bad nobody wants to pay for. So the complexity of it as data becomes bigger as we talk about big data and unstructured data and social media and facebook feeds. That is hard. It is complex. And the ability to truly manage and govern data to the degree of that perfection is really hard. So the more data we get, the more complexity, the more challenge, the more there is a need to really prioritize align with business strategy and ensure that you are embedding into the culture and the DNA of the corporate and not do it in the silos. >>You know, delivering that data to in the secure environment obviously, critically important for any enterprise, but even more so to put a finer point on financial services in terms of your work in that regard. So, so let's add that layer into this to not only internal, all the communication you have to do in the collaboration, you have to have but you have these external stakeholders to write, you have me, you know, a boa client if you will um that you've got to be aware of and have to communicate with. So so let's talk about that, that kind of merger if you will of not only having to work internally but also externally and making sure that with all the data you've got now that it works >>indeed. And you're kind of moving towards this new one of the newer dimensions, which is privacy, I mean G D p R was the first regulation in the UK, but now you have the C C P A and the California and it's coming and that that right to be forgotten or more importantly, as you said, as a customer of financial issues, that right to understand where your data is is very important because customers do want to know that their information is understood, trusted protected and going to be taken care of. So that ability to really transform back that you have a solid basis and that you are taking the measures and the necessary steps to ensure that that data is air quotes govern is so important. And it really again that shift from that used car salesman to a luxury car salesman. Your question is another example of how that shift is happening. It's no longer a should do or could do. Data governance is really becoming a must do and why you are seeing so many more. Chief data officers. Chief analytics officers, data management professionals. The profession is growing. I mean, incrementally every single day. >>What about the balancing act that you do? Let's just do with the internal audiences that you have to contend with. I shouldn't say content, content has that pejorative term to that you that you that you deal with, you collaborate with. Um you know, governance is also critically important because you want to make data available to the right people at the right time, but only the right people. Right. So what kind of practices or procedures are you putting in a place at B. O. A to make sure that that data is delivered to the right folks, but only to the right people and trying I guess to educate people within your organization as to the need for these strict governance processes. >>Sure. I tend to refer to them as the foundational pillars and if I was to take a step back and say what they are and how we use them. So the first one is metadata management and it is really around that. What data do you have? It's that understanding the information. So I used to refer to it or I still refer to it as when we were going to the library and you used to have to look at the card catalog That metadata manages very similar to the card catalogue for books. It tells you all the information. What's the genre? Who's the author, what the section is, where it is in the library and that is a core pieces. If you don't understand your data you can govern it. So that's kind of Pillar one. Metadata management. Pillar two is what's often referred to his data lineage. But I do think the new buzzword is that a providence? It's really that access low. It's understanding where data comes from the movement along the journey and where it's going. If you don't understand that horizontal front to back you can't govern the information as well because it can be changing hands, it can be altering and so it's that that end to end look at things. This pillar to pillar three is data quality and that's really that measurement of is it the right data and it is made up of a series of data quality dimensions, accuracy, completeness, validity, timeliness, conformity, reasonable nous etcetera. And it's really that fit freezes the data that I have the right data as I said earlier and then last but not least is issue management. At the end of the day there will be problems, there is too much data. It is in too many hands. So it's not we're not trying to remove all data issues but having a process where you can actually log prioritized and ultimately remediate is that that last and final pillar of the data management I would call circle because it has to all come back together and it's rinse and repeat. >>Yeah. And and so you you raise a point, a great point about things are going to go wrong. You know, eventually something happens. We know nothing is foolproof, nothing is bulletproof. Uh and we're certainly seeing that in terms of security now right with breaches pretty well publicized with invasions, ransom, where you name it, right, all kinds of flavors of that. Unfortunately. So from your perspective in terms of being that this data data guardian, if you will um how much of your concerns now have been amplified in terms of security and privacy and and that kind of internal uh communication you have to have or or I guess by in you know to understand the need to make this data ultra secure and ultra private, especially in this environment where the bad actors you know are are prolific, so kind of talk about that it's a struggle but maybe that challenge That you have in this environment here in 2021. >>Yeah, I think what you know the way I would do it is the struggle is again that that need or the desire to to protect everything and at the end of the day that's hard. And so the struggle right now that I have ri faces the prioritization. How do we differentiate what we call the critical few some call it cds chris critical data elements that they call it Katie key dad elements there, there's there's a term but really as that need and that demand grows whether it's for security or privacy or even data democratization, which hopefully we do talk about at some point, all these things are reliance on the right data because like statistics garbage in garbage out. So whether it's because you need the right information because of your analytics and your models or as you talked about its prevention and defensive security reasons that defensive and offensive isn't going away. So the real struggle is not around the driver, but the prioritization. How do you focus to ensure you're spending your time on the right areas and more importantly in alignment with the business priorities? Because one of the things that's critically important for me is ensuring that it's not metadata or data governance or data quality for the sake of it, it is in alignment with that business priority. >>And and and a big part of that is is strategy for the future, right strategy going forward. you know, where you're going to go in the next 18, 24 months and so from uh without, you know, revealing state secrets here. How do you how do you see this playing out in terms of this continual digital transformation? If you will from the B O a side of the fence? Um, you know, what what do you see as being important or in terms of what you would like to accomplish over the next year and a half, two years >>for me? I think it's that and I'm glad you asked that question, cause I wanted to mention that that data democratization I think. And if we if we debunk that or look into that, what do I mean by democratization? It's that real time access, but it's not real time access to the wrong information or to the wrong people as we talked about, it really is ensuring almost like an amazon model that I can simply search for the information I need, I can put it in my shopping cart and I can check out and I am able to that's that data driven, I'm able to use that information knowing it's the right data in the right hands for the right reasons and that's really my future mind where I'm getting to is how do I enable that? How do I democratize it? So data is truly and does become that enterprise asset that everybody and anybody can access, but they can do so in a way that has all of those defensive controls in place, going back to that right data, right place the right time because the shiny toys of ai machine learning all those things is if you're building models off of the wrong data from the wrong place or in the wrong hands, it's going to bite you in about whether it's today, tomorrow, the future. >>Well, exactly. I love that analogy and on that I'm going to thank you for the time. So I'm gonna call you a luxury data salesperson, not a car car salesman. But uh it certainly has paid off and we certainly congratulate you as well on the award that you wanna hear from calabria. >>Thank you so much and thank you for the time. Hopefully you've enjoyed our conversations as much as I have. >>I certainly have. Thank you very much Jacqueline Osborn, joining us on the Bank of America, the data citizen of the Year. Her data citizens 2021. I'm john walls and you've been watching the cube >>mm