You'll need a clear set of analytics objectives and an understanding of the appropriate data analysis techniques that are required to meet those objectives. The aim is to separate the 'signal' (valuable data) from the 'noise' (irrelevant data) and then run analytics across the valuable data.
As Albert Einstein once said, information is not knowledge. What we now have however, is an accessible way to turn terabytes of information and data into knowledge and use that to change the way we operate.
This is a game changer; it's a way to challenge the status quo and innovate while achieving business benefit along the way.
Sign up for CIO Asia eNewsletters.