Guidance
to Big Data Analytics
Let’s today dive into Big Data Analytics and their tools.
Also how Big data companies helps organization with their solutions. All of
these big data tools have unique features with distinct functionality according
to the process. We have discussed just the important Big data analytics
software vendors.
Big data is creating a revolution in many industries and changing
the competitive landscape with its potential benefits. ‘Big Data’ is the
emerging discipline of capturing, storing, processing, analyzing and
visualizing these huge quantities of information. The data sets may start at a
few terabytes and run to many petabytes – far more than traditional data
analysis packages can handle.
In any industry,
satisfying and meeting to the expectations of the customer’s is a huge
responsibility for the organization. Nowadays customer experience
improvements are happening in social media that is recorded in online and
offline, with data being collected from smartphones, mobile apps, and various
e-commerce portals. Due to huge volume of data to collect, store and analyze,
the organization is in a position to know what works, what doesn’t work for their
business. When the plan is executed well, it can help to boost customer loyalty
and revenue growth. In other way round, if the customer is not pleased with the
outcome, then the organization will lose customer service loyalty and will not
be able to sustain in the growing market. In order to grow exponentially in the
competitive landscape, companies must focus on products that are aligned with
customer needs and desires.
Selecting a Big data tool
Out
in the market, there are plethora of Big data tools that saves time, money and
helps you to undertake strategic business decisions and insights. There are
many tools depending upon certain areas that your organization wants to focus
on. Currently there are many tools in the areas of storage, extraction,
cleaning, mining, visualizing and analyzing. So based on the skill set and the
requirements for your project choose the right data tool.
Quote
of the day “A good data storage provider should
offer you an infrastructure on which to run all your other analytics tools as
well as a place to store and query your data.”
Below is the list of data tools that is making a bench mark
in the market:
Hadoop:
It’s an open source java framework that is primarily used for storing and
analyzing big data. Hadoop helps in processing big data sets, where data is split
into small parts across clusters or nodes. Its cost effective where the data is
stored at per terabyte that delivers fast computation. Many major tech
companies like Yahoo, IBM, Google use Hadoop framework for advertising,
optimization of search engine process etc.
Cloud Era:
Cloud era is mostly and enterprise solution to help businesses
manage their Hadoop ecosystem. Essentially, they do a lot of the hard work of
administering Hadoop for you. They will also deliver a certain amount of data security,
which is highly important if you’re storing any sensitive or personal data.
They can help your business build an enterprise data hub, to allow people in
your organization better access to the data you are storing.
IBM Big Data Analytics
Like many other big data companies, IBM builds its offerings
on Hadoop – so it’s fast, affordable and open source. It allows businesses to
capture, manage and analyze structured and unstructured data with its Big
Insights product. This is also available on the cloud (Big Insights on Cloud)
to give the benefits of outsourcing storage and processing, providing Hadoop as
a service.
HP Big Data
Then, ‘when you’re ready to transform your infrastructure, HP
can help you develop an IT architecture that provides the capacity to manage
the volume, velocity, variety, voracity, and value of your data.’ The platform
itself is based on Hadoop.
Microsoft
Microsoft’s big data solutions run on Hadoop and can be used
either in the cloud or natively on Windows. Business users can use Hadoop to
gain insights into their data using standard tools including Excel or Office
365. It can be integrated with core databases to analyze both structured and
unstructured data and create sophisticated 3D visualizations
Amazon Web Services
Amazon supports products like Hadoop, Pig, Hive and Spark,
enabling you to build your own solution on their platform and create your own
big data stack. Amazon is a huge name in providing web hosting and other
services, and the benefits of using them are unparalleled economies of scale
and uptime. Amazon tend to offer a basic framework for customers to use,
without providing much in the way of customer support
Tera Data
Teradata call their big data product a ‘data warehouse
system’, which stores and manages data. The different server nodes share
nothing, having their own memory and processing power, and each new node
increases storage capacity. they
also work with unstructured data gathered from online interactions.
Tableau
Tableau offers significant flexibility over how you work with
data. Using Tableau’s own servers and Desktop visualization with your existing
big data storage makes it a versatile and powerful system. Tableau supports
more than 30 databases and formats, and is easy to connect to and manage.
Informatica Big Data
Informatica has several options that make life easy by giving
you access to the functionality and allow you to integrate all types of data
efficiently without having to learn Hadoop itself. This makes for a
fantastically versatile solution that is still simple enough to be used without
intensive training.
QlikView
Qlik View offers two big data solutions, enabling users to
switch between them as they require. This
offers exceptional performance, and other features further enhance response
rates and make exploring very large data sets extremely fast.
Benefits of Big Data Tools:
1. Big
Data Tools like hadoop allow businesses to store massive volumes of data at
much cheaper price.
2. One of the major advantages of big data analytics is that it
gives businesses access to data that was previously unavailable or difficult to
access.
3. Helps to optimize sale order delivery, optimal store hours by
efficient data analysis and business model.
4. HR departments in some companies utilize big Data analytics
to optimize workforce by hiring right candidates with right skill set. For ex:
Xerox used Big Data to reduce the attrition rate by 20% in its call centers, as
stated by ‘Information Week.com’
Use Cases for big Data Analysis
There are many industries that shows how Big Data is used:
Below is a diagrammatic picture that shows impact of Big Data in the industries
like Healthcare, Marketing etc.
Conclusion
Big data isn’t just an
emerging phenomenon. It’s already here and being used by major companies to
drive their business forwards. As ever, which you decide on will depend on a
number of factors. These include not just the nature of the data you are
working with, but organizational budgets, infrastructure and the skillset of
your team, amongst other things. Others are intended to be more flexible but
should only be used by those with coding expertise. With advent growth in
Technology, streamlining to customer’s needs is a major challenge to the
companies. Their goals, and services change according to the market value. To
cope up with this trend the organization must continually produce a change in
their services and be flexible to new business models that cater to the needs
of their customers in all aspects, See you soon with more information on this
in my next blog. According to the Information
Week.com website reports suggest that “Avis
Budget has committed to doing all of this. It implemented an
integrated strategy to increase market share, which has yielded hundreds of
millions of dollars in additional revenue”.
So, for any company to thrive in the market must rely on customer
feedback survey, and binge into social media to track and monitor customer
satisfaction that benefits both business and customers.
See you soon with more
information on this in my next blog.
References:
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