Why Adoption of Big Data Analytics Is Growing
Before the onset of Big Data, businesses had to wait on data warehouses and data analytics to organize and interpret data so as to provide batch intelligence to users. Today, organizations use Data Science and Big Data Analytics to analyze data in real time.
Why should you adopt Big Data Analytics in your organization?
Big Data has provided platforms for companies to query large volumes of data. The old technology did not provide an infrastructure that could run data overloads and give back an immediate response. With Big Data analytics, data is fed into the system, analyzed, and fed back in the form of batch intelligence almost immediately.
What’s more, Big Data Analytics provides tools for prospecting marketing angles and these tools can even predict the results of a particular marketing strategy. Today, companies are earning big from the adoption of Big Data Analytics.
According to the [technology acceptance model], when software users are presented with new technology some factors facilitate the adoption. These are the factors that have facilitated the growth of Big Data;
-Big Data can consolidate various types of information into a single place (HDFS).
-The technology offers scalability with storage, scalable mining algorithms, and processing.
-It is easy to use Big Data tools and technology once the concepts are understood. Since the data is in HDFS, there is reduced data movement.
-They key capability of Big Data technology is real-time decision making. With streaming technologies, high-speed data processing, and carrying out predictive analysis Big Data is perfectly suited to this goal.
Why is the Adoption of Big Data Analytics Growing?
It is no longer a wonder why Big Data adoption is growing aggressively today. Here are some of the main factors facilitating the growth of Big Data.
It is a digital world!
Data used to be stored on hard paper copies; now it’s collected in digital files. Big Data is characterized by the amount of data, frequency of its appearance, and collection across internet platforms. With Big Data analytics, companies no longer need to worry how such volumes will be collected or managed!
Job applications, for instance, are now almost always stored in digital form. An organization is likely to receive applications from all walks of life. Big Data analytics jumps in to gather and sort through all the job profiles.
Data volumes
The Internet market is enormous and global. Marketing on the internet elicits much feedback from consumers from all over the world. Not only do you get useful data from clients, you will also receive plenty of irrelevant data. This large volume of data is almost incomprehensible. With Big Data, management and interpretation of this data is much easier.
Facebook is currently the largest social media platform in the market. Millions of users interact smoothly from all over the world. How does Facebook manage the data of millions of users? The site employs presto, an ecosystem technology that speeds up analysis.
Predictive strategies
Businesses today use Big Data to predict the future performance of their products. Enterprises spend millions to migrate traditional business intelligence into Big Data systems.
By studying larger clusters of data, an organization can identify gaps existing in the market.
For example, Amazon, the largest online market, tracks all customer feedback across the globe. The data is analyzed and interpreted through Big Data Analytics, and the managers come up with more desirable products. That is why the best products in the market are on Amazon.
Predictive intelligence is being used by the CIA to predict future crimes that are likely to be committed, and the kinds of people likely to commit those crimes. By studying criminal activities from all angles, criminal intelligence is slowly able to manage future crimes and protect the public.
Challenges facing the adoption of Big Data
Skill is the primary limitation to the growth of Big Data. However, companies are slowly extinguishing this constraint. They are finding skilled individuals, or training existing employees to understand and deploy Big Data.
Conclusion
In this day and age, the internet is the largest marketing platform. The data pouring in on your company systems from sites all over the web is so vast that organizing and interpreting it is time-consuming. From social media to clicks stream data, the overflow is overwhelming.
In the old days, the proper approach to such a phenomenon was to ‘‘spoon feed” large volumes of raw data to other analytics tools. Well, that approach is outdated. Using the old techniques in the market today will see your business getting wiped out. To stay afloat, adopting Big Data analytics is the best strategy in a world where everyone wants real- time intelligence.