Data Culture Level 1

Best Practices in Enterprise Information Management

The effective management of enterprise information for analytics deployment requires best practices in the areas of people, processes, and technology. In this talk we will share both successful and unsuccessful practices in these areas. The scope of this workshop will involve five key areas of enterprise information management: (1) metadata management, (2) data quality management, (3) data security and privacy, (4) master data management, and (5) data integration.

Intro to Python for Data Analysis

Python is a high-level, general-purpose language used by a thriving community of millions. Data-science teams often use it in their production environments and analysis pipelines, and it’s the tool of choice for elite data-mining competition winners and deep-learning innovations. This course provides a foundation for using Python in exploratory data analysis and visualisation, and as a stepping stone to machine learning.

Data Ethics DRAFT

Data ethics is rapidly becoming the most critical aspect of engaging in a data driven, digital world. Significant backlash against industry giants like Facebook and Google for their data practices has pushed data ethics into mainstream society. With the ACCC signaling its intentions to focus on data practices and a host of new legislation, led by GDPR in Europe, the open data movement and the Consumer Data Right in Australia, it has become a key concern for digital consumers and the companies that serve them. The course covers the practical issues involved in implementing data ethics and uses real world illustrations and cases. We start with high profile data ethics cases and cover the essentials of the new legislation. We then walk through a data ethics policy. Day 2 focuses on a toolkit for implementing data trust and privacy by design, then covers consent and transparency requirements. It closes with a real-world framework for the governance required and an overview of the practical implementation steps.

Data Governance 1

This two day course provides an informed, realistic and comprehensive foundation for establishing best practice Data Governance in your organisation. Suitable for every level from CDO to executive to data steward, this highly practical course will equip you with the tools and strategies needed to successfully create and implement a Data Governance strategy and roadmap.

Agile Insights

This course presents a process and methods for an agile analytics delivery. Agile Insights reflects the capabilities required by any organization to develop insights from data and validating potential business value.Content presented describes the process, how it is executed and how it can be deployed as a standard process inside an organization. The course will also share best practices, highlight potential tripwires to watch out for, as well as roles and resources required.