Rise of Big Data: The Start and Evolution
In today's technologically and digitally-driven world, the big data ecosystem is widespread to the point where organizations rely on it inadvertently. For decades, big data analytics has been a core strategy in data science endeavors within companies. What started as a window into customer behavior has now become a pivotal vertical in businesses. Organizations, irrespective of their industry or size, are harnessing big data to drive growth, identify potential investment opportunities, and protect their overall health from future risks.?
Several factors contributed to the emergence and subsequent growth of the big data ecosystem, leading to a constantly elevated and evolving structure. Today, it is considered one of the foundational blocks of any organization. In this blog, we discover how the journey of big data analytics started and where it stands today. Read on!
The Beginning
What led to big data acquiring the space it does today in the marketplace? While we can't pinpoint one date in one year, the arrival of smartphones, tablets, and other digital devices is considered the tipping point. Data was created even before smart devices made their appearance. However, the amount of data created was exponentially smaller than what we saw after the digital device boom.?
Each day, with the growing number of devices and an even higher number of applications being developed, the data available is truly tremendous. An action as simple as setting the alarm on your handheld devices records data. This led to big data becoming an absolute necessity more than an innovation. However, the growth and innovation of big data analytics, once it was identified as a necessity, has been unstoppable.?
What is big data?
At the ground level, big data can be described as enormous data sets that must be analyzed computationally, which eventually offers an insight into patterns, human behavior, trends, and other determinants of the marketplace.
Big Data Technologies
Big data technologies refer to software, tools, and programming languages that are used to stream, analyze, process, and extract information relevant to complex e data sets. Some samples of software and tools that may be bused to implement big data solutions are as follows:
Big Data Utilization samples:
?Where does Big Data stand today?
?The demand for data visualization techniques is constantly on the rise, and rightly so. As more and more data are created, the need for innovative solutions to break down the information into meaningful bytes also intensifies. Big data and its subsequent analysis are helping organizations break through barriers in customer servicing as well as product management and creation. To this effect, companies can also create compelling visual models and sturdy strategies to go hand-in-hand with organizational goals and objectives. The key to revealing the optimal potential of big data will lie in the hands of companies. An in-depth understanding of data and its value as a currency can help stakeholders design the roadmap to success.?
As data is becoming more cogent with time, stakeholders should invest in transforming their data structures into advanced, innovative models. This is where Proven Consult can be the game-changer for your business. If you would like to better understand how our team can reinvent your organization's data strategy, then you can send in your queries at [email protected].