Privacy, Governance, and Compliance: Data Classification and Inventory

Course details

Companies that drive revenue and growth based on user engagement also face challenges with data. The same data that enables these companies to build personalized features also needs protection from misuse and other security and privacy concerns. In this course, privacy and security leader and a digital product architect Nishat Bhajaria guides you through using a data governance architecture to classify and inventory your data and enforce data protection policies. Get an overview of the privacy landscape, including privacy regulations and laws. Learn about data classification, how it can help you, and some challenges and solutions associated with it. Explore data inventory and data governance, then deep dive into data inventory implementation, architecture, metadata, use cases, and more. Plus, get some practical advice on how to do data inventory in a way that works and makes sense for your organization.

Concepts

0. Introduction

01 - Welcome
02 - Who this course is for
03 - Data classification as part of data governance

1. The Privacy Landscape

04 - The legal and regulatory landscape
05 - Privacy regulations and ambiguity
06 - Privacy laws and security
07 - Privacy and the user
08 - Challenge - Data classification scenario
09 - Solution - Data classification scenario

2. Data Classification

10 - How classification reduces risk around unstructured data
11 - How can data classification help you
12 - Data classification as part of data governance
13 - How to shape the data classification process
14 - Challenges of data classification
15 - Solutions for data classification
16 - Thought experiment - A sequential data classification

3. An Inventory of Your Data and Risk

17 - What is data inventory
18 - Data inventory and data governance
19 - How can you prep for data inventory

4. A Deep Dive into Data Inventory

20 - Data inventory using manual resources and automation
21 - The technical implementation of data inventory
22 - Data inventory architecture
23 - Data inventory metadata
24 - Data inventory and use cases
25 - Evaluating data inventory outcomes

5. Lessons from the Road - How to Do Data Inventory Right

26 - Centralized vs. decentralized
27 - Data inventory successes
28 - Data inventory challenges
29 - Getting executive buy-in for data inventory

Conclusion

30 - Next steps