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This three day course is aimed at Leaders and Managers wishing to take Data Governance to the next level as well as Data Stewards, and Analytical Leads. Additionally, for those involved in Ethical and Legal Governance oversight from across their organisation who may provide input towards a Data Governance Council.

You will be introduced to key data concepts and staff responsibilities, the purpose of Data Governance and scenarios where governance processes are required.

You will gain greater understanding of how wider processes work to support your role in governing the use of data for both ethical purposes and for improving inter-operability across your organisation.

Throughout the course you will be guided through exercises and tasks designed to enable you to plan appropriate policies and procedures for Data Ingestion, Quality and Compliance, Data Storage and Disposal, Reporting and Analysis, Machine Learning, AI and Predictive Modelling, CI/CD and Change Management.

Data Governance is key to progressing the ecosystem of an organisations’ data systems – you will gain knowledge allowing you to identify what stage your organisation is at and the advantages of unlocking and reaching the next step.

You will be able to advise and guide your organisational oversight and procedures to ensure good governance and the identification of challenges, opportunities, and how to create practical solutions through well managed change.

Understanding and Scoping a Data Ecosystem

Introduction to Data Governance
- Identify the Data Lifecycle and the role of key personnel
- Describe the purpose of Data Governance
- Identify scenarios where data governance is required
- Describe the levels of Organisational Data Maturity
Data Ingestion Policies and Procedures
- Identify sources of data, flows, and necessary security
- Describe how to record data processes and workflows
- Classify data and identify rules required for access policies
Quality and Compliance Requirements
- Interpret data quality metrics and sources of internal and external organisational requirements
- Describe the points at which quality checks are required
- Identify how to create organisational data rules including cleaning and acceptance policies
Data Storage and Disposal
- Describe data architectures, modelling and design
- Outline an inventory of data sources and data flows
- Develop policy for documenting and managing content
- Identify development and review processes for data policies

Understanding and Supporting Organisational Data Use

Reporting and Analysis supported by Data Governance
- Describe the need for data warehousing, reference and master data
- Describe the importance of business intelligence for an organisation
- Identify data stewards and reporting frameworks
- Identify key metrics for measuring business objectives and KPIs
- Critique systems for data integration and interoperability
- Interpret Data Governance scorecards
Modelling and Predicting Governance Requirements
- Record features for the prediction of key metrics
- Describe the importance of producing predictive models
- Identify capabilities of machine learning and AI models
- Describe processes for identifying and obtaining valuable features for the development and improvement of predictive models
- Interpret machine learning and AI scorecards

CI/CD, Change Management, and the Future of Data Governance

CI/CD and Change Management
- Categorise the data maturity level of an organisation
- Create a business case for change and identify potential sponsors
- Compare change management models and best practice
- Describe ways to support organisational wide buy-in
- Describe the formation of a Data Governance council and the terms of reference
- Create a communication plan for ongoing changes
- Develop policies and procedures for quality, legal, ethical, and compliance checking prior and during deployment of reporting and analysis processes
- Develop policies and procedures for quality, legal, ethical and compliance checking prior and during model deployment
- List and describe the policies and procedures needed for good data governance
Future of Data Governance
- Review aspects of the roles and responsibilities of those working in Data Governance
- Identify challenges and solutions to improve outcomes from data useage
- Identify emerging roles and responsibilities

Intermediate Data Governance with Essentials Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.

Intermediate Data Governance with Essentials Training in Norway

Upcoming Trainings

Intermediate Data Governance with Essentials Training in Norway

Outline

Upcoming Trainings