Page 22 - Building Big Data Applications

16 Building Big Data Applications

Failure to govern: If no effective data governance team is in place, implementing,
or attempting any data or analytics, can be extremely challenging. This subject has
been a sore point to be resolved in all aspects of data but has not been imple-
mented successfully very often. For any success in the Internet of Things, the fail-
ure to govern pitfall needs to be avoided with a strong and experienced data
governance team in place.
Some of the best in class applications we have seen and experienced in this new land
of opportunity are the National Institutes of Health (NIH)’s Precision Medicine Initiative
(PMI), fraud analytics in healthcare, and financial analytics with advanced clustering and
classification techniques on mobile infrastructure. More opportunities exist in terms of
space exploration, smart cars and trucks, and new forays into energy research. And
donot forget the smart wearable devices and devices for pet monitoring, remote com-
munications, healthcare monitoring, sports training, and many other innovations.

Additional reading

Competitive Strategy: Techniques for Analyzing Industries and Competitors by Micheal Porter.
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics by Thomas Davenport.
Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your Competition by Neil
Sahota and Michael Ashley.
SuperCrunchers: Why Thinking-By-Numbers is the New Way To Be Smart by Ian Ayers.
TheNumerati by Stephen Baker.
They’ve Got Your Number.: Data, Digits and Destiny e how the Numerati are changing our Lives by
Stephen Baker.