NDMO Compliance Incorta Operational Lakehouse

Don't miss out on valuable insights from Ahmed Moawad, Customer Success Manager, and Ahmed Tarek, Director of Sales Engineering, as they deliver an enlightening discussion on NDMO regulations at Incorta No limits.

In this engaging session, our speakers delve into the crucial policies and regulations pivotal for robust data management. From data classification to privacy measures, they underscore the essentials for navigating the intricate landscape of data governance.

Don't miss out on this valuable advice! Watch the recording now to stay on top of your data game!

Transcript:

Wanted just to say it's this is the, most opportune time, the perfect time for something like in Corta X to be presented in the Saudi market.

Generative, AI models, most hardest topics They are trying to explore what's the potential is. And my Incorta X integrated GOL, in GenAI integrated Govalent Gorta engine gives you not only the, unusual access to your data, but augmented access to your data. Now you can really, really, find data at your fingertips.

As a a digital transformation bill came in. Like a future, Colorado is a digital future.

We're softna, softna digital, transformation initiative, Public public or private sector, I had and do data bank, and do a lot of operational data, a lot of, Yani, what have you kind of data is trying to, make it actionable, make it usable.

Fair, National Data Management Office, policies to make data management standardized across, any, the the kingdom.

They started with Ayani where everyone else, ended Yani. They made a world class standard, and inspired by world class any other, international standards. We, financially created, a holistic framework, detailed, the organization to manage and, to make value of their, of their data.

Better we, aid guiding principles. They started, introducing the framework, the standard with these eight principles, and then everything else, all the strategies, all the policies came, through these principles.

I will haggle, data as a national asset.

I had done to, data just Yani had been at Mala, up before, I mean, more than well, I mean, whatever entity, like, it was present treated as a national asset. Now it's treated as a national asset, meaning it should be discoverable.

It should be actionable. It should be, maintained in a way that helps later use.

We second data protection by design.

Throughout the NDEO policies, handrophin, they are promoting open data transparency to share data with the public.

Individual privacy is paramount.

What I have in Venezuela, what I handle government, like in, it would be, well protected.

Third is open by default. Where this is a very powerful concept. By default, any, government, data should be open, should be accessible, unless there is a strong not to do this.

And having something like this is a very, powerful message that we have the underlying technology to do it. We have the the right governance framework to share with confidence.

And, then to promote ethical data use, Any data should be used for the common good. With the abundance of data, with the availability of data for everyone, you should use it for the common good.

Next is purposeful design. At the end of the day, it's a human who will consume the there is a human centric focus, for colonial policies.

Any organization that has a data bank and that has data assets can be consumed and can be actionable by, by humans.

Next is data driven outcomes. And Yani, one of the most important principles, to make yani an informal decision to make a the right decision backed by, strong data.

You have to have a strong data management platform in place.

With learning culture, this is a long journey.

And, the Saudi talent should be always continuously developing to adopt these, world class standards and to be able to implement it.

And finally, trust the data. Now trust between government and and the public trust, between government entities and each other comes from, trusted data, high quality data. Lesson, and then, you name it. Like, and I'm, I and I must have confidence in this, in this data, I must have come trust, this is the right data, and it's in the right hands.

Based on these eight principles, NDE defined a detailed and thorough framework.

We, specifications how to implement this vision.

And framework looks like this. It has it has fifteen domains, consisting of one, a hundred and ninety one specifications in seventy seven controls.

Very detailed, Yani, to the root grass level, but if they will data governance, available activities will specifications if they will data governance, governance is about you as an entity creating a strategy, creating guidelines, raising awareness within your, environment about, the policies.

And then, the, yaniya group of domains about data aestheticization, Zeta, Tally Data, discoverable data actionable, reference as Mavinil, we, data discoverable, to materialize actual value in the data asset attack. Data asset can be monetized.

So this is where you, realize this, this value.

Were next, about the classification and availability, say by an estimated ID, what's, public and what's private. And, last, the data protection when I'll, Indim, always working with the National Cyber Security authority, LNCA, to define how to secure and protect, personal data.

In the organizations and to, to, to, to, to, to, come through next is what encouraged us to make this happen.

Where, available customers will prospects come in to comply.

In Kretna, we have to approach his Damon for the customers that Lumba be prepared with tools and wire, we can integrate with on our national integrations we're already a proof of conceptional integrations.

We can, for informatics, especially, and the customers already.

We believe, you know, it's time to invest, fill product, to cover And the governance portal, catalog portal quality Kolodemal Haggett and Wemba, that's why Osama mentioned in Corta X, Brinz at Kalimahala in Corta X, components at Ramawuda, we are investing a lot to in in in nature, cattle product, the architecture will modeling, and the data sharing and security portal, how incurred are covered.

In Kota Petakavar, how by default as a platform, we prepare little customers that own, Tabale Lendy Mobi provided the compliance metrics, Lekule domain, fee health features, but of sale, fano, we have already made Bordeaux for for the customers' quality features, they in court can cover El Guzman.

Built of silver.

Urba domains. The name, Kendil Haget, l l platform, Mckenzie, Mckenzie, Mckenzie, platform. We Haget, already get it from the platform, And now when we have a requirement to invest lending in quarter, the available customers have to earn the platform to have a catalog embedded with any to manage a data assets in quarter, that's very important.

As a demo, compliant by ninety percent for the NMO.

And by H2, the Google team is one hundred percent compliant requirements for the NVMO for the catalog.

For the quality, we already have something like data studio that we provide quality capabilities that's for the N DMO specific requirement that the N DMO currently, we comply sixty five percent to seventy five percent.

And by H2, Bordeaux, will be to allow one hundred percent compliant for the data quality part for the NMO.

A reference will will end the end of the Manahitl architecture design with Al MVM will help you manage your master data and build your gold record at the end, If I end up currently, we support seventy two percent, or by edge one, by end of each one, Shaw, around eighty two, we buy each two hundred by one hundred percent compliant.

The same for the classification, a classification for in Cortiani, the four components that we are focusing on, what we believe in the components that we had add value of beer, get the little product, really, our customers.

You would like to say something?

Within a, platform, can it, of course, bardozeghar men exist in customers, leading Cortimative ASH, we provide Hagazil cataract solutions, be shackle simplified, natural calamity quality, we are developing we can't simplify, and they make you compliant at the same time. We already, our customers, and your feedback is very important.

To make sure that we are on the right track, we're we're to serve to to make you any very compliant, Lending Moo regulations.

You can, and you already see, the data quality, and then I have the feedback in Corta, especially, little customers of Donna, how I can do transformation how I can build the pipeline within in quarter to do a lot of transformations within in court.

We make it more complex.

We created another one to show you, Linda, you can do whatever you want, build complexity level, elinta Mahtega from the pipeline end to end applying about whatever cleansing, applying whatever needed transformation and logic, But you can deal, deal high health screening for Dolobe and then I can, for the catalog, you can consume your data assets, which you feel classifications that data, or other, and like a business user, when I would like to search for a specific metric why the system had to consume all data, I can't search the through the catalog, to manage your life cycle, data management to control it.

We're, Hagertaman. Thank you, Tenny. We are ready, to test the HagerDimal customers. We are ready to share Mahadarazkomota Fosil with Apple Compliance the controller will call the specification. Goel controllers, they can, can comply with. Thank you so much.