How big data analytics is useful for organizations
1.
2.
A term applied to data sets whose size or type is beyond the ability of
traditional relational databases to capture, manage, and process the data
with low-latency.
Following are the characteristics:
◦ High volume
◦ High velocity
◦ High variety
Big data comes from sensors, devices, video/audio, networks, log files,
transactional applications, web, and social media
Much of it generated in real time and in a very large scale.
3.
It is the use of advanced analytic techniques against very large, diverse
data sets.
It allows analysts, researchers, and business users to make better and
faster decisions using data that was previously inaccessible or unusable.
Using advanced analytics tools like:
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Predictive analytics
Data mining
Statistics
Natural language processing
Businesses can analyze previously untapped data sources independent or
together with their existing enterprise data to gain new insights resulting
faster decisions.
4.
To process and analyze a vast array of information in new ways.
To compete in a globally-integrated economy.
Many organizations consider information to be their most valuable and differentiated
asset.
To improve decision-making and
performance throughout the enterprise.
To utilize new data, technology and analysis techniques that exist in almost every
industry.
5.
A service offered by the Data Services Department of the Information Services and
Technology Division.
Enterprise Data Warehouse consolidates data from multiple sources in support of
campus wide decision making.
It is to provide information that is secure, accurate, timely, consistent, integrated,
appropriately detailed, well-organized, and easy to obtain.
6.
Big Analytics Appliance will make your big data problems manageable.
This Appliance helps executives, business managers, IT managers and analysts
leverage breakthrough business insights to:
◦ Take better business decisions resulting in better business results.
◦ Optimize & innovate across business processes with data driven decisions.
◦ Minimize risk, maximize ROI and accelerate time to value
with enterprise ready big data solutions.
7.
According to a recent research into large
enterprises they use and planned use of big data
which indicates that analytics initiatives are
becoming a reality in large organizations.