2. WHAT IS BIG DATA?
Big data analytics is the process of examining large data sets
containing a variety of data types -- i.e., big data - to uncover
hidden patterns, unknown correlations, market trends,
customer preferences and other useful business information.
The analytical findings can lead to more effective marketing,
new revenue opportunities, better customer service, improved
operational efficiency,competitive advantages over rival
organizations and other business benefits.
OR SIMPLY WE
CAN SAY…….
Data that becomes large enough that it
cannot be processed using
conventional methods
4. INDUSTRIAL EXAMPLES OF BIG
DATA!
1. Evaluation of risks
(market/credit)
2. Algorithmic Trading (link in
complex interdependent data)
3. Health Care & disaster recovery
4. Advertisements(allocation of
money and its impact)
5. Consumer sense (study of
behaviour and competitive
advantage)
5. How are we the part of this
Equation???
• Organizational alignment (measurable/directed)
• Decision making &
Consumption of analytics (focus)
• Search for Analysts (talent)
Note: 1.4 to 1.9 lakh unfilled positions of data analytics
experts in US by 2018 and shortage of 15 lakh managers and
analysts who understand and make decisions using big data
6. Please… do
read the book
It contains few uncharted
frontiers for your conquest.
provided your determination
to find one!!!!