As
the digital economy is growing strongly, technological factors bring changes in
business. Data will serve as the foundation and starting point for discussions
about business transformation.
Data
will continue to empower people, enterprises, technologies, and the processes.
Data allows organizations to understand their customers, anticipate their needs
and preferences, and respond faster. Data has also become the backbone of
everything that has to done with improvements in product quality and
capabilities. Data even allows organizations to understand themselves and
operate more efficiently by analyzing business cycles, employee habits and
customer needs.
Advanced
analysis of the data is allowing organizations to survive an unprecedented
change in their business models. Analytics is paving the way to define new
service models, coordinate continuity of care, and help centralize personnel
and operational efficiency. Advanced
analytics help organizations ensure security and governance, also enables
customers to pay for goods and services with a variety of emerging digital
options. This cashless and inclusive economy seemed impossible just a few years
ago. Advanced data and analytics is at the heart of this transformation. The
term Big Data comes into being for those reasons.
What is Big Data and how to analyze it?
Big
Data is often defined as a large data set consisting of unstructured or
incomplete data, each of which can be used to declare data into details. These
data sets are often so large and complex that it is difficult for normal data
processing software to collect, store and process it in a suitable amount of
time, because their volume can increase to petabytes or even exabytes. Big Data
is also defined by three V which means; Volume: the size of the Data, Variety:
the diversity of the Data, Velocity: the speed at which data needs to be
processed and analyzed.
Big
data is made up of sources including sites, social media platforms, desktop software
and mobile applications, scientific experiments, sensors and other devices on
the internet (IoT).
Analyzing
Big Data: Once you have data, the most important thing is to analyze those data
so that they can actually deliver benefits such as increased sales, improved
customer service, improved productivity, and more increase overall
competitiveness.
Data
analysis involves examining data sets, thereby giving detailed information or
drawing conclusions about trends and predictions about future performance. As a
result, the data can be applied to work such as choosing when and where to
advertise products and services, which is very useful for companies that need
timely product promotion campaigns.
What is Data Lake? What are the benefits of
Data Lake?
Data
lake if the place where all business data want to collect, store, analyze and
turn into insights and actions, including structured and semi-structured data
and even unstructured data. Data lake is designed to analyze Big Data and to
solve the challenge of data silos in big data.
India Snowflake Implementation
offers the most elastic solution to support your data lake strategy, with a
cloud-built structure which is able to meet a variety of unique and latest
business requirements. By using mix and match data patterns, you can use the
full potential of your data to help your business analytics.
