100 Primer Tips On Analytics

This book is written with a purpose in mind for readers keen in data, data visualisation and analytics. Served as an introductory guide for awareness and understanding the broad range of topics involved.

The topics (tips) aims to provide a quick & practical learning experience for stakeholders involved in creating data products such as dashboard or data model. Written for readers with none or limited experience to grasp the concepts in each topic. For novice wise, served as a knowledge refresh or giving a new perspective on the same topic.

Readers segments range from end user using data products such as dashboard or model for decision-making, project manager, product manager, analytics translator or business stakeholders during analytics project implementation.

Knowledge level in each topic range from basic to advanced. Topics are curated and deemed essential for any data product at any stage (descriptive, predictive and prescriptive). Not only creating awareness, this should arouse interest and increase learning experience when delving deeper into the topic. Targeted outcome will give readers a peripheral vision of an analytics project.

We believe that it is more important to understand fundamental first than application. It is also difficult to find a book written based on analytics experience, pitfalls, better practices & approaches (non-exhaustive) in efficiency and reasoning of choices. This creates an intent and motivation to write this book. Tip #96 is one of our favourites.

Lastly, we hoped through this book, readers are able to gain an advanced basic knowledge and insights. With new knowledge gained, allow the readers to foresee and mitigate potential risks, technology debts, uncertainty factors, reworks or even fatal failure in their projects.