From Our Data Office To Yours 🌐

Question

Hi, I’m Jay from Collibra’s Data Office. Like most any other Data Office, we lead the company’s Data & Analytics strategy and manage that infrastructure. We view our group as an enabler for the business’s Analytics needs! And when I say “we”, I mean our growing team of talented Data Intelligence professionals, Data Engineers, and Data Scientists. We also translate our internal learnings into value for our customers. Below highlights some of our latest contributions to discussions here in the Com...

jaymilitscher · Answer

Another 5 episodes of The Data Download podcast series are released!

We set out to bring you interesting and insightful conversations about the world of Data & Analytics, covering a wide range of topics. These 5 episodes were all about Artificial Intelligence, ESG, Data Governance.

A pleasantly surprising theme has developed through these 10 episodes that I’m particularly proud of - career. You know, we’ve spoken now with so many accomplished experts in their fields, with engaging ideas and even their thoughts and vision for the future. It was enlightening to learn how they got into their fields and grew in their own professions. I hope you find similar inspiration!

alisonobstler · Answer

At Collibra, we think achieving data intelligence is crucial to a successful data-driven organization. So we commissioned this survey from IDC to learn more about the trends and to better understand where organizations are when it comes to data intelligence.

alisonobstler · Answer

Want to learn how to get the most from your data catalog ? Or how about how to get started with Collibra’s Data Intelligence Cloud ? @jay.militscher.collibra.com shares his tips and tricks!

Alexandra Jorgenson · Answer

Interesting read: “ Data governance council: What is it and why do you need one ”? Blog here or go here for the challenge to earn some points while reading! Collibra Data governance council: What is it and why do you need one? A data governance council is a governing body for strategizing data governance programs, raising awareness of its importance, approving enterprise data policies and standards, prioritizing related projects, and enabling ongoing support. Est. reading time: 4 minutes

Alexandra Jorgenson · Answer

Blog you may be interested in - “ The solution for embedding trust in your data processes ” (click here to read and earn points or click here to access directly). See below for excerpt: Oftentimes we are looking at a report and wondering is this using the correct data? Did someone look at it to verify? How are we calculating this KPI mentioned in the report? Then there are other situations where we wonder why we even created this report? Most of the time, the person viewing a report is different from the person who is developing a report, who is different from the person defining the KPI, and still, someone else is building the data pipeline. For example, a technical steward knows what is in the schema much better than a business steward. Whereas a business steward can capture the purpose and calculation rules of a KPI often with more context. We decided to simplify the end-user experience by involving the right person at the right time for the right task. This ensures that everyone across the organization can trust the reports, metrics, and data that they use to make business decisions.

Alexandra Jorgenson · Answer

Blog you may be interested in - “ The solution for embedding trust in your data processes ” (click here to read and earn points or click here to access directly). See below for excerpt: Oftentimes we are looking at a report and wondering is this using the correct data? Did someone look at it to verify? How are we calculating this KPI mentioned in the report? Then there are other situations where we wonder why we even created this report? Most of the time, the person viewing a report is different from the person who is developing a report, who is different from the person defining the KPI, and still, someone else is building the data pipeline. For example, a technical steward knows what is in the schema much better than a business steward. Whereas a business steward can capture the purpose and calculation rules of a KPI often with more context. We decided to simplify the end-user experience by involving the right person at the right time for the right task. This ensures that everyone across the organization can trust the reports, metrics, and data that they use to make business decisions.

alisonobstler · Answer

We are all about data mesh in our data office! Read this blog to learn about the first pillar of data mesh and how Collibra is implementing a data mesh strategy internally. Or check out the challenge to earn points!

alisonobstler · Answer

We are all about data mesh in our data office! Read this blog to learn about the first pillar of data mesh and how Collibra is implementing a data mesh strategy internally. Or check out the challenge to earn points!

alisonobstler · Answer

Hello to the Data Office community! Our very own Jay Militscher is the host of a brand new podcast called The Data Download ! This podcast explores some of the hottest topics in the industry from building a data office, to ESG, to the ethical use of data, and beyond. In this five part series, industry leaders from around the globe share their best practices, learnings, and predictions for the future. But it doesn’t stop there…we also have five bonus episodes in this series that feature our very own Collibrians. These “Inside Collibra” episodes show how Collibra’s Data Office is tackling these complex issues. Please listen, like and subscribe on your favorite podcast network .

alisonobstler · Answer

Hello to the Data Office community! Our very own Jay Militscher is the host of a brand new podcast called The Data Download ! This podcast explores some of the hottest topics in the industry from building a data office, to ESG, to the ethical use of data, and beyond. In this five part series, industry leaders from around the globe share their best practices, learnings, and predictions for the future. But it doesn’t stop there…we also have five bonus episodes in this series that feature our very own Collibrians. These “Inside Collibra” episodes show how Collibra’s Data Office is tackling these complex issues. Please listen, like and subscribe on your favorite podcast network .

Alexandra Jorgenson · Answer

Did you get to watch our Data Mesh webinar with Cox Automotive? If not, go here for more info and to access the recording. It was awesome. Some highlights of what you’ll learn: What data mesh can do for your organization How to navigate along your data mesh journey How Cox Automotive brought 26 business units together with data mesh

Alexandra Jorgenson · Answer

Did you get to watch our Data Mesh webinar with Cox Automotive? If not, go here for more info and to access the recording. It was awesome. Some highlights of what you’ll learn: What data mesh can do for your organization How to navigate along your data mesh journey How Cox Automotive brought 26 business units together with data mesh

Karanpreet Singh · Answer

Hi @pooja.sharma.1 , I did work on lineage harvester,let me know what specific questions you have regarding LH.

BTW, Got to know that later this functionality would be available on EDGE with tech lineage capability

poojasharma · Answer

Hello Community,

Hope you all doing fine and safe…

I have been reading the functionality of Lineage Harvester and would really interested in knowing more regarding its implementions . Is there anyone who has actually worked on its pratical implemenation?

Appreciate if any lead to this be provided…

Thanks !!!

tombeckers · Answer

@kristen.freer Same here. Access denied. I would love reading those. Is it possible to help me? Thanks in advance Tom

tombeckers · Answer

@kristen.freer Same here. Access denied. I would love reading those. Is it possible to help me? Thanks in advance Tom

albertovicente · Answer

Hi @jay.militscher.collibra.com , i’m getting Access Denied on the following links: What is the difference between traditional data governance and agile data governance? A Framework for Data Acquisition with Collibra What is a typical person/department who takes the role of Community Manager? Rule of Engagement - Lineage Process documentation to identify Collibra workflow requirements Policy monitoring certification Data Governance in practice How to add Value and be able to measure it Are those link private or deleted? Thanks in advance Albert

albertovicente · Answer

Hi @jay.militscher.collibra.com , i’m getting Access Denied on the following links: What is the difference between traditional data governance and agile data governance? A Framework for Data Acquisition with Collibra What is a typical person/department who takes the role of Community Manager? Rule of Engagement - Lineage Process documentation to identify Collibra workflow requirements Policy monitoring certification Data Governance in practice How to add Value and be able to measure it Are those link private or deleted? Thanks in advance Albert

jaymilitscher · Answer

Hi all! I am excited to share that last week we launched The Data Download , Collibra’s first ever podcast, and I’m humbled and honored to be the host. This series covers the hottest topics in the industry from building a data office, to Data Mesh and ESG, to the ethical use of data, and more. This 5 part series includes ScotiaBank, Accenture, Adobe, PwC, and Fidelity as guests - plus our very own Collibrians in 5 bonus tracks. Stay tuned every other week from now until the beginning of August for the latest episodes.

Hope you enjoy it!

This community here is the perfect place to continue conversations on any of the topics we get into in the series, so please feel free to share thoughts, comments, questions.

jaymilitscher · Answer

Hi all! I am excited to share that last week we launched The Data Download , Collibra’s first ever podcast, and I’m humbled and honored to be the host. This series covers the hottest topics in the industry from building a data office, to Data Mesh and ESG, to the ethical use of data, and more. This 5 part series includes ScotiaBank, Accenture, Adobe, PwC, and Fidelity as guests - plus our very own Collibrians in 5 bonus tracks. Stay tuned every other week from now until the beginning of August for the latest episodes.

Hope you enjoy it!

This community here is the perfect place to continue conversations on any of the topics we get into in the series, so please feel free to share thoughts, comments, questions.

sweetiranjit · Answer

Thank you for sharing these information. Recently, I have integrated Collibra environment with Snowflake. And new Collibra Protect Snowflake program may meet the solution that we are seeking to mask the sensitive data elements. I have share the information with the upper management and will be reaching out CSM in this context. Thank you!

Alexandra Jorgenson · Answer

@alison.obstler.collibra.com is so busy this week getting all of our announcements out (like launching ‘Collibra Protect for Snowflake’ and Collibra winning the Google Cloud Award !) that I’ll share for her @jay.militscher.collibra.com ’s second best practice video “ 5 tips for implementing data mesh ”. Speaking of hot topic ‘Data Mesh’, check out this 101/overview and REGISTER FOR OUR June 29 live webinar “Get In The Driver’s Seat With Data Mesh”.

Alexandra Jorgenson · Answer

Compelling new blog from @simla.sivanandan.collibra.com in our Data Office published this week - Talking data ethics: What it is and why it’s important . Simla ‘watches’ this thread (and you can too by clicking ‘Normal’ at button of thread and selecting ‘Watching’) so feel free to post any thoughts on what she wrote here.

alexandretkint · Answer

Hi there!
I’m Alexander, Data Scientist at our Data Office
I’m mostly busy with developing new data products (ML models, dashboards, datasets,…), while doing this we are being a thought leader and we share our learnings with our data citizens

One blog to start off with today. We start light weight here but with fundamentals. Whenever building data products, as I do every day, you really need a process to properly communicate with all the stakeholders that are involved in the creation process. You also need some key steps, like defining the need, and defining who will be the owner and creator which is very important when going full data mesh,… Read more here on the 8 steps to build data products

alexandretkint · Answer

Hi there!
I’m Alexander, Data Scientist at our Data Office
I’m mostly busy with developing new data products (ML models, dashboards, datasets,…), while doing this we are being a thought leader and we share our learnings with our data citizens

One blog to start off with today. We start light weight here but with fundamentals. Whenever building data products, as I do every day, you really need a process to properly communicate with all the stakeholders that are involved in the creation process. You also need some key steps, like defining the need, and defining who will be the owner and creator which is very important when going full data mesh,… Read more here on the 8 steps to build data products

alisonobstler · Answer

Hi, I am Alison from Collibra’s content team. I wanted to share some great best practice videos featuring @jay.militscher.collibra.com . Click here to learn Jay’s top 5 tips for setting up and scaling your data office.

jaymilitscher · Answer

Hi - some weekend reading for you. @stijn.christiaens ’s blog introducing Collibra’s Data Office describes the rise and future of a Data Office in an organization, its strategic alignment, and driving the value of data. We’re certainly living this path now!

arthurburkhardt · Answer

Thanks a lot for sharing! It seems some articles are not available to all data citizen (e.g. Process documentation to identify Collibra workflow requirements)
I’ll definitely take time to go through these resource, very valuable to consolidate them in that format, thanks a lot!

arthurburkhardt · Answer

Thanks a lot for sharing! It seems some articles are not available to all data citizen (e.g. Process documentation to identify Collibra workflow requirements)
I’ll definitely take time to go through these resource, very valuable to consolidate them in that format, thanks a lot!

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