Big Data is simply the collection, processing, and analysis of huge data sets from
traditional or digital means which deliver business intelligence for companies
to enhance their services or create a new competitive advantage. Raw data which
provides at best basic information is generated at an alarming rate of
multiplication since 2000. This is fuelled by the emergence of social media and
the proliferation of mobile devices leading to mobile computing. The crucial challenge for long-term survival
and relevance for every business is to convert information to insight and
finally to intelligence as quickly and efficiently as possible.
Businesses and Big Data
Analytics
Big Data analytics tools and techniques are
rising in demand due to the use of Big Data in businesses. Organizations can
find new opportunities and gain new insights to run their business efficiently. These tools help in providing meaningful information for making
better business decisions. The companies can improve their
strategies by keeping in mind the customer focus. Big data analytics
efficiently helps operations to become more effective. This helps in improving
the profits of the company. Big data analytics tools like Hadoop
helps in reducing the cost of storage. This further increases the efficiency of
the business. With latest analytics tools, analysis of data becomes easier and
quicker. This, in turn, leads to faster decision making saving time and energy.
Big Data is important to business,
the reason are :
- · To understand the market conditions, like for analyzing. Big Data helps understanding current market conditions. For example, by analyzing customers’ purchasing behaviors, a business can find out the products that are sold the most and produce its future products according to this trend.
- · To understand customers
better. A business can understand its customers better with the help of big
data analysis. It can predict what its customers want in advance and provide
them a better service in addition to better products. Also, businesses can
minimize customer complaints easily using big data tools, since these tools can
automatically detect negative comments on social media.
- · To control your online
reputation. This means Big Data tools can do sentiment analysis. Therefore, you
can get more feedback about who is saying what about your company. If you want
to monitor and improve the online presence of your business, then, big data
tools are a must-have for you.
- · To cost savings, implementing big data tools may be expensive at the beginning but it will eventually save you a lot of money. Big data tools reduce the burden of IT staff, since they are real time systems. Therefore, you can use these resources somewhere else. Also, storing large amounts of data is much easier using big data technologies but more importantly, the data you store will be accurate because big data tools has greatly reduced the risk of inaccurate data.
At
the end, the
importance of big data analytics leads to intense competition and increased
demand for big data professionals. Data Science and Analytics is an evolving
field with huge potential. Data analytics help in analyzing the value chain of
business and gain insights. The use of analytics can enhance the industry
knowledge of the analysts. Data analytics experts provide the organizations a
chance to learn about the opportunities for the business. There
are huge requirements and significance of big data analytics in different
fields and industries. Hence, it becomes essential for a professional to keep
oneself abreast of these techniques. At the same time, the companies can gain a
lot by using these analytics tools correctly.
TASYA DWI AMALIA
106218077
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