Lisa Kaiser, Operations, Product & Engineering
- Explain how a data office can unlock value from data
- Compare the data office key collaborations and partnerships
- Assess the steps needed to create a data office
Over the last decade, we have seen countless organizations strive to become data-driven. Key to this mission-critical function is a data office. Led by the Chief Data Officer, this department is responsible for being the champion for data as a strategic, competitive asset by increasing the company’s data intelligence. We’ll begin by discussing how a data office can help unlock value from data. Next, we’ll cover the various organizational approaches to a data office and the key partnerships and collaborations they must have within the organization. Finally, we’ll review some examples of different data offices, including the Collibra Data Office.
Alexandre t’Kint, Data Scientist
- Examine what is a data product
- Analyze how a data product provides value
- Distinguish the steps needed to create a data product
At Collibra, we see a data product as the output of a data science activity which creates actionable insights from big data. They are valuable, information-enriched solutions that can take different forms, such as data assets, virtual data assets, SQL queries, reports, and dashboards. This course will discuss what is a data product, the ways to create and derive value from a data product, including the necessary approval steps.
Stijn Christiaens, Chief Technology Officer
- Applies the concept of data strategy to the context of business strategy
- Identifies the objectives of data strategy
- Makes use of the Collibra Data Office to execute data strategy
Moving into the future, data strategy will be essential for a strong and viable business strategy. The Collibra Platform provides a robust set of features that enables users to implement a complete data strategy. Herein we explore the concept of a data strategy and how Collibra Data Office positions us and our users for success. In building out our data office and executing on a data strategy, we are able to create opportunities for learning what works well, both in our software and our approach, and what could be improved. We will also discuss how our Data Intelligence platform is ideal to help connect data to people, insights and outcomes.
- Johan Loeckx, Artificial Intelligence Lab Manager
- Simon Keizer, Lecturer
- Isel Grau, PhD Student
- Jens Nevens, PhD Student
- Discover grounded language learning
- Analyze systems of engagement
- Examine applications of artificial intelligence
These short videos will introduce you to the joint research concepts being explored today by Vrije Universiteit Brussel and Collibra Research. The research examines how people collaborate with team members while using data governance systems and systems of engagement, such as Slack. The ultimate goal of this project is to engage artificial intelligence and integrate the Collibra Platform into the systems of engagement, and allowing users to communicate with this platform using natural language processing. In the example being demonstrated, the Slack user will interact with the Chat bot to discuss sales data sets and various findings in the report. All of the information provided is accessed from the Collibra Platform, but presented in Slack, allowing the user quick, informal access to gather necessary information.
- Michael Maes, Big Data Specialist, Data Analytics Manager
- Michaël Tandecki, AI Expert
- Evaluate artificial intelligence to automate recurring processes
- Prioritize customer-centric research
- Explain Glossary Rationalization
One real-world issue encountered by our customers is having duplicate assets across their glossaries. This use case has been explored through the development of Gloria, otherwise known as the Glossary Rationalization portal. Michaël Tandecki demonstrates using Gloria for duplicate detection and similarity scoring. Gloria has two key features, Compare On-the-Fly and Glossary Lists. The Compare On-the-Fly feature allows you to post two definitions, in a Google Translate-like fashion. The definitions are checked for similarity and given a high/low scoring. The Glossary List feature allow the user to export a glossary from the Collibra Platform and import into Gloria to check for duplicate assets based on the definitions and/or the name. Gloria can also find duplicates across several glossaries. Once these glossaries are imported into Gloria, duplicates are detected, the user provides feedback to the results and the updated glossaries can then be re-imported back into the Collibra Platform as a CSV file.