This calendar includes all our DAMA knowledge sharing opportunities, as well as other events within the industry. Stay up to date here to stay up to date on everything data!
Tina Salvage is an experienced management professional with a strong background in the financial services industry, specialising in data management and governance. Tina has extensive experience in financial crime compliance and money laundering. Her passion lies in building data management strategies that enable organisations to achieve their goals.
She has a proven track record of creating and embedding strategic transformational change to business processes and systems across departments, working closely with key stakeholders, external suppliers, and the executive board. Tina focuses on building strong relationships to enable others to thrive. She shares the story, attracts the right people, and helps deliver the data strategy.
The presentation shares experiences and strategies for enhancing organisational success through robust data and AI governance using STOP THE TRAFFIK as a case study.
It emphasizes the importance of data quality and governance in combating human trafficking. I provide some case studies and lessons learned as well as how data can be used a weapon against human trafficking.
A Teams link will be issued to registrants closer to the date
The Value of Master Data Management in Sustainability
Stibo Systems: Matthew Cawsey
Driving growth for customers with trusted, rich, complete, curated data, Matt has over 20 years of experience in enterprise software with the world’s leading data management companies and is a qualified marketer within pragmatic product marketing. He is a highly experienced professional in customer information management, enterprise data quality, multidomain master data management and data governance & compliance.
Click here to register
Agenda
Please note, there is no entry on the door. The event is currently fully booked and a number of people are on the waiting list.
Joining instructions will be issued closer to the date.
Boot Camp includes
Introduction to Data Management, Data Governance, Data Management Organization and Roles Expectation, Data Ethics, and Data Architecture, Data Modelling and Design, Data Storage and Operations, Content and Document Management, Data Security, Data Integration and Interoperability, Data Warehousing and Business Intelligence, Big Data and Data Science, Metadata Management, Reference and Master Data, and Data Quality.
Exam included and can be taken from Day 3 up to 12 months from the course start date.
All enquiries on the exam, post course, need to go to cdmp@dama.org.
Members Only Webinar - Ask Me Anything re Data Governance - Nicola Askham
Known as The Data Governance Coach, Nicola helps organisations understand and manage their data better.
For over two decades she has helped organisations reduce costs and inefficiencies. Typically, people turn to her because their data is a mess and they need help unravelling it, or because they realise that new initiatives are failing because of poor quality data.
As well as providing coaching and consulting, she also runs training courses because she feels it is important to give people the skills to make sure that data is used to solve problems and make better informed decisions.
Nicola initially worked for a leading UK Bank and moved into consultancy in 2009. Since then she has worked with clients across a wide range of sectors.
Nicola was a Committee Member of DAMA UK for 13 years and she regularly writes, presents and creates videos, blogs and a podcast on data governance best practice.
A Teams Link will be issued to all those who register closer to the date.
CDMP Training - covering the Fundamentals.
Introduction to Data Management, Data Governance, Data Management Organization and Roles Expectation, Data Ethics, and Data Architecture Data Modelling and Design, Data Storage and Operations, Content and Document Management, Data Security, Data Integration and Interoperability
Data Warehousing and Business Intelligence, Big Data and Data Science, Metadata Management, Reference and Master Data, and Data Quality