In order to take the next big leap in terms of technological advancement, we need data. Next-generation emerging technologies and inventions have piggybacked on top of big data, achieving maximum success. Here are Amazing Big Data Use Cases You Must Know!

1. Big Data Analytics Use Cases:
All You Need To Know
By: Hidden Brains Infotech
- Web & Mobile App Development Company

2. The volume of data that we generate and consume every day is growing
exponentially. The volume of data is growing and the pace of that growth is
accelerating. Key indicators like Sensor data, log files, social media and other
sources have emerged, which bring volume, velocity, and variety of data that far
outstrips traditional data warehousing approaches.
Organizations with futuristic outlook have already started to harness such new
sources in clever ways to achieve unimaginable value and competitive advantage.
Real business value of these “big data” sources is procured only with the help of
specific use cases and applications. The applications can be spread widely
throughout a number of different departments and industries.

4. Harnessing Big Data for broadening the
horizons
There definitely are numerous unprecedented technical challenges while
integrating and managing all of this data. Organizations have to be vigilant in
identifying and crystallizing the right use case or use cases for their own
business needs. This is a vital step where organizations can understand the key
business insights they want to attain. And also improve on the results that they
can achieve with those insights.
Numerous organizations exist today which are still in the infant stages of
considering their potential use cases for big data. They are in search of
companies who provide mature big data analytics solutions with hands on
experience.

5. Real life use cases of big data that are
revolutionizing the way we perceive things
At a greater level, big data analytics solutions address far greater challenges
head on. Big data analytics is the answer to unlocking the insights from all your
data types, as it enables you to analyze all of your structured, semi-structured
and unstructured customer data together.
Big data analytics is powerful since it enables organizations and individuals to
combine, integrate and analyze all the data at once – regardless of source, type,
size, or format and generate the required insights in order to address a wide
range of business challenges.

6. Here are few big data use cases you must
know about:
Kaggle: When you talk about big data, Kaggle is one of the first companies that
come to mind. It almost entirely embody all the principles of big data
entrepreneurship under one roof.They have a myriad of working models from
crowd-sourcing to predictive modelling, gamification etc.
Kaggle has managed to work out how to turn a profit from them. The company is
based out of San Francisco. It awards cash prizes to its teams of “citizen
scientists” who are in direct competition to untangle big data challenges of all
shapes and sizes.

7. Microsoft: Today, Microsoft is a key player in almost all segments of computer
and information technology. And the dawn of big data era was evident with the
rise of personal computers, the graphical operating system and the internet.
With its foundation laid strong, Microsoft had a substantial head-start over the
competition. The very first forays of the company into the world of big data were
sparked way before even the first version of MS-DOS.
Bill Gates and Paul Allen’s first business venture, two years before Microsoft, was
a system that provides real-time reports for traffic engineers by using data from
roadside traffic counters.
Microsoft, like competitors Google and Amazon it offers its own “big data in a
box” solutions, combining open-source with proprietary software to offer
large-scale data analytics operations to businesses of all sizes.

8. General Electric: General Electric is nothing less than a mega ‘powerhouse’ in
terms of a corporation that is involved in virtually every area of the industry,
including the Industrial Internet of Things (IIoT).
Coming of age industry applications will increase the efficiency by enabling every
aspect of an industrial operation to be monitored and tweaked for optimal
performance, and reduce down-time.
They have also launched a Hadoop based database system that enables its
industrial customers to move its data to the cloud. There are machines deployed
that are smart enough to order new parts for themselves and minimize
expensive downtime.

9. Conclusion
Big data brings in the power to combine, integrate and analyze all of your data –
regardless of source, type, size, or format to quickly and affordably scale to huge
volumes of data and analyze them for in-depth insights.
The greater part of the challenge is turning big data into insights. How can
companies get the most out of this data and bring together and analyze all of the
data at once – be it structured and unstructured – and use it to deliver innovative
new data and analytics products and services?

10. If you are looking for big data analytics solutions get in touch with leading big
data analytics company.
Hidden Brains Infotech
Email: biz@hiddenbrains.com
Website: www.hiddenbrains.com
Skype: hiddenbrains