What Is Data Analytics?

Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.

Data analytics is a broad term that encompasses many diverse types of data analysis. Any type of information can be subjected to data analytics techniques to get insight that can be used to improve things. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.

Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data. A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better—products and services.

Key takeaways
– How can business get started with data analytics?
– What are the advantages of using analytics in business?
– What key metrics do we need to analyze in business?
– Best practice to protect our company data from hackers or malware?
– What software should we use to track online traffic?

Agenda
Introduction to Sidec
Speaker 1 – Tan Ern Kuing from Exabytes Digital
Speaker 2 – Shahrul Subki from Kreatif Flava
Speaker 3 – Sunny Ooi from ClickAsia Sdn Bhd