The term Big Data refers to the large volume of data (both structured and unstructured) that affecting a business day-to-day. The key is not the amount of data being collected or used, but how organizations can ride on the data to reveal insights that lead to better decisions and strategic business moves.
Machine Learning is a data analysis methodology which automates the building of analytical model. It is a branch of artificial intelligence that machines should be able to learn and adapt through experience. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to focus.
Descriptive Analysis – What happened?
Diagnostic Analysis – Why did it happened?
Discovery Analysis – What’s hidden in the data?
Predictive Analysis – What could happen?
Forecast future performance, events and results.
Prescriptive Analysis – How to make it happen?
Analysis that suggest a prescribed action
Cognitive Analysis – What to do, why & how?
Chief Data Scientist
Jackei is a specialist in data science and machine learning with more than 10 years of experience in the field. He is a patent inventor in the area of artificial intelligence. He has a wide range of hands-on experiences in big data and predictive analysis, project management and customer relationship management.
With over 10 years of solid marketing and agency experience, Vicky’s distinguished skills do not end with paperwork. She has served a wide range of customers in different fields – hospitality, health and beauty, FMCG products and luxury brands – where she helped brands define their marketing strategies, branding/promotion campaign goals, execution plans and media strategies.
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