Join Joaquin Sufuentes, Enterprise Data Management Service Owner, Intel and members of the Lucid Technologies and Solutions and Collibra teams as they discuss the concept of data agility and how to foster it in your enterprise. In this webinar, they discussed: How to define data agility along with processes and standards to drive it How to drive a culture of trust and shared ownership of data in your organization How to leverage their framework to assess your own maturity Where to exchange best...

[Webinar Live Q&A] How Intel creates data agility in their enterprise | Use cases

[Webinar Live Q&A] How Intel creates data agility in their enterprise

Join Joaquin Sufuentes, Enterprise Data Management Service Owner, Intel and members of the Lucid Technologies and Solutions and Collibra teams as they discuss the concept of data agility and how to foster it in your enterprise.

In this webinar, they discussed:

How to define data agility along with processes and standards to drive it
How to drive a culture of trust and shared ownership of data in your organization
How to leverage their framework to assess your own maturity
Where to exchange best practices with peers as you develop your own strategy

Now, they’re inviting you to join the conversation and to share your own experiences on the above. They’ll be live here in the community from 12 - 12:30pm EST on 10/14 to answer questions live. After that, this discussion thread will be open to continue the conversation with them moving forward!

Missed the webinar? Register to get access to the recording: https://go.collibra.com/enterprise-data-agility.html

Former User

Posted 5 years ago · Edited 1 year ago·Last reply 5 years ago

42 comments

rajeshkailashnath

·5 years ago · Edited

In this discussion, Joaquin mentioned about rapid prototyping. While we have been able to do that for views and reports, some of the more integration related solutions require more elaborate work. We faced this issue when trying to integrate data quality tool with Collibra. In such cases, what is the best approach for the Producer team?

sougatasarkar

·5 years ago · Edited

How to bring maturity to the Data Governance culture

Former User

OP5 years ago · Edited

Tagging @joaquin.sufuentes.intel.com and @kalyani.jagannathan as there are a couple new questions in here when you have time.

justinm_swenson

·5 years ago · Edited

How much detail do you go into with your business stewards / users on the Collibra Operating model?

I find the more literate users are with a tool, the more willing they are to jump in and start using it. Especially, if they can see how it makes them more effective at their daily work.

But the Operating Model - communities, domain types, assets, relations, etc. can get very complicated and could start making user’s eyes glaze over. Have you found a sweet spot in terms of the complexity you introduce them to and a pace?

ashishharuray

·5 years ago · Edited

One question I have and this is generally speaking. In Data Maturity Assessment, what can be done to remove subjectivity and biases. Two people answering the questionnaire can answer the same question in two different ways based on their own interpretation (glass half full or half empty).

Former User

OP5 years ago · Edited

@joaquin.sufuentes.intel.com and @kalyani.jagannathan – A few more questions here for you!

Former User

OP5 years ago · Edited

How are we managing Data Quality?

Former User

OP5 years ago · Edited

How are we managing Data Quality?

Former User

OP5 years ago · Edited

Mukesh, usually DQ is managed on a view by view or report by report ad hoc manner. We need to use the glossary to document DQ policies and then monitor that the most important data has DQ metrics deployed to the views generating that data.

kalyanijagannathan

·5 years ago · Edited

DQ is generally measured using third party tools and we have integrated DQ with Collibra in many ways - to bring in DQ scores, to tie implemented DQ rules to data assets and Governance Rules (logical DQ rules, which could in turn be linked to standards) in Collibra, to trigger Issues in DGC whenever a DQ exception has been found, to name a few. We have used also used the DQ scores & DQ Issues as part of Approval / Certification workflows to include checks like DQ Score needs to be above a certain Threshold and no open DQ Issues.

santoshkarthikeyan_viswanathan

·5 years ago · Edited

How did you bring the different teams collaborate together in an agile environment to build the data agility, any challenges would you like to share and how did you overcome?

santoshkarthikeyan_viswanathan

·5 years ago · Edited

How did you bring the different teams collaborate together in an agile environment to build the data agility, any challenges would you like to share and how did you overcome?

Former User

OP5 years ago · Edited

Hi Santosh, there are challenges with agile persistent teams (APT) building quality assets for reuse. The foremost challenge is that of time and just needing to get a view created or report published. Often the first thing sacrificed is a minimum amount of documentation. Using biz approved glossary terms needs to be a minimum standard so that your managed catalog can later serve up the asset to someone else who can make use of it without taking APT time to build the same or similar thing. It is important to monitor the assets that make it into the prod environment to be able to report out on tech debt (non-compliant reports/views/APIs etc). Compliance dashboard is a good way to monitor the work of APTs across the enterprise.

Former User

OP5 years ago · Edited

Ho w we decide Data culture with in organization ?

Former User

OP5 years ago · Edited

Ho w we decide Data culture with in organization ?

Former User

OP5 years ago · Edited

Anupam, I would suggest identifying what your organizational core values are for the data (example: we want all data to be easy to find and access across the enterprise), then you decompose how you get there (example: to find you need to have common labelling standards, to access you need a common entitlement architecture) then build processes & standards to enable folks building and using data assets to do so with findability and ease of access.

Former User

OP5 years ago · Edited

Interesting one from Francis:

How does driving adoption for your tools or as you say capabilities fit into your overall maturity model?

Former User

OP5 years ago · Edited

Interesting one from Francis:

How does driving adoption for your tools or as you say capabilities fit into your overall maturity model?

Former User

OP5 years ago · Edited

We want adoption of process (repeatability) and standards (quality), the capabilities in this case provide a compliance check on the process and standards, as well as allow the processes and standards to scale out. Each persona may have a different interface to the tool (a UI, a compliance dashboard, a search and results page, etc) we need to meet the persona where they prefer to work not where we would want them to work

kalyanijagannathan

·5 years ago · Edited

One way to think of it is what is the outcome you are looking for & you measure where you are in your journey in realizing that outcome. Capability is what you need to achieve the outcome and the maturity framework measures where you are in standing up the capability.

Adoption will come automatically if we are trying to solve for real problems (the solution needs to be thought of as one of the outcomes)

Former User

OP5 years ago · Edited

Question submitted from Jen for @joaquin.sufuentes.intel.com :

How do you decide what to address first in the maturity matrix?

Former User

OP5 years ago · Edited

Question submitted from Jen for @joaquin.sufuentes.intel.com :

How do you decide what to address first in the maturity matrix?

Former User

OP5 years ago · Edited

Always address the problem that a business partner can scope clearly and succinctly. Wherever you see the most thrash around data (getting it, using it, trusting it) there you will find a willing business partner to work with in evolving the culture

kalyanijagannathan

·5 years ago · Edited

I am not sure if it can be addressed piecemeal … instead we should focus on an outcome and see what needs to be addressed to help all involved parties collaborate to get to the end result, so it may mean working on many different areas however taking small steps

Former User

OP5 years ago · Edited

Question from Sana:

Hi, thank you for the presentation. I have one question. How should be in team in order to define maturity of the Data in the organization according to the model you have shown today in presentation?

Former User

OP5 years ago · Edited

Question from Sana:

Hi, thank you for the presentation. I have one question. How should be in team in order to define maturity of the Data in the organization according to the model you have shown today in presentation?

Former User

OP5 years ago · Edited

The team to define maturity should be reps from the interested business orgs.

Former User

OP5 years ago · Edited

@joaquin.sufuentes.intel.com Question for you from Michael:

I do find it interesting that Joaquin is organizationally in IT instead of in business team. I would think it would be optimal the other way around.

Interesting thought…how has your role in IT impacted this framework, if at all?

Former User

OP5 years ago · Edited

@joaquin.sufuentes.intel.com Question for you from Michael:

I do find it interesting that Joaquin is organizationally in IT instead of in business team. I would think it would be optimal the other way around.

Interesting thought…how has your role in IT impacted this framework, if at all?

Former User

OP5 years ago · Edited

I think IT has a vested interest in reusability of everything they build in order to amplify and scale productivity for the enterprise. If the Catalog tea were in one business functional area, the effort might not be viewed as an enterprise wide initiative versus a localized effort. Additionally, the standards of interoperability across the enterprise is mainly an IT oriented systems integration mode of thinking

Former User

OP5 years ago · Edited

Another great question from Allison:

What have you found is the best buy in from users of the tool. I have given demos and emphasized the benefits. And yet there is still hesitation of using the tool.

Former User

OP5 years ago · Edited

Another great question from Allison:

What have you found is the best buy in from users of the tool. I have given demos and emphasized the benefits. And yet there is still hesitation of using the tool.

kalyanijagannathan

·5 years ago · Edited

Allison, I feel that if we can show people a practical example of how we can positively impact their work every day, they will jump right in… here is where prototyping and a creative solution can help. I have seen many A-ha moments where people have said I did not know that we can do that …

Former User

OP5 years ago · Edited

Best buy in for any tool is to solve a problem for the user, not every user will jump into learning a new tool without an example of the benefit they expect to see.

Former User

OP5 years ago · Edited

One question we got from the webinar from Rajat to get us started:

If we have developed the capabilities for Data governance adoption, and we still see gaps in users adaptability to see the actual outcome of Data governance model, is that a cultural issue?

Thoughts on that?

Former User

OP5 years ago · Edited

One question we got from the webinar from Rajat to get us started:

If we have developed the capabilities for Data governance adoption, and we still see gaps in users adaptability to see the actual outcome of Data governance model, is that a cultural issue?

Thoughts on that?

Former User

OP5 years ago · Edited

If I understand the question as being why are folks not seeing the outcome of a data governance model…I would suggest that perhaps you are not measuring for the impact you want to make in the enterprise. If you place some simple clear metrics around success for your data governance efforts then people will begin to work toward activities that move the needle on those metrics. If I did not get the question, please do restate

kalyanijagannathan

·5 years ago · Edited

It may not only be a cultural issue, it may be that users are not able to see how the specific governance processes are going to help them do their work better… if governance is perceived as an overhead, it is going to be very difficult to drive adoption.

kalyanijagannathan

·5 years ago · Edited

Hi everyone, this is Kalyani … happy to answer any questions you may have .

Former User

OP5 years ago · Edited

Hi Folks, this is Joaquin. Feel free to post any questions and I will reply as quickly as I can.

Former User

OP5 years ago · Edited

Hi Folks, this is Joaquin. Feel free to post any questions and I will reply as quickly as I can.

Former User

OP5 years ago · Edited

And if you have your own framework for driving maturity in your data culture, please share, would love to learn and adapt