When business leaders hear the word ‘big data,’ their mind naturally pivots to the large volumes of data sets available today. While the sheer scale of data is daunting, underneath, there are benefits to analyzing it.In this blog, we’ll discuss why it is important and how one can
hire big data engineer in 2025.
What is Big Data?
In simple words, ‘big data’ refers to the generation of large data sets every second from various sources. The source of data sets can be anything today, from social media activity to online transactions.
And this data could be anything—from structured to unstructured, or even semi-structured. In today's digital world, big data has become a must due to its role in helping businesses make smarter decisions by unearthing patterns that we do not see! In fact, when data sets are analyzed the right way, it can improve how a business runs, giving it an edge over competitors.
Use Cases of Big Data in the E-commerce Industry
Let's see how big data not only betters shopping experiences but also drives operational efficiency and revenue growth for brands and retailers.
Better customer serviceBusinesses today want to understand their customers better. And to do this, they often look into a wide mix of data sets. Now these can include things like past purchases, customer service interactions, and even social media activity. And it's not just the digital experience—even physical stores are getting smarter at using data sets the right way.What looks like data on the outside is important to understand modern-day customers and serve them in the best way!
Better market intelligenceJust like big data helps us understand how people shop, it also gives us a deeper look into how markets behave and change over time.Take social media, for example. It's becoming a diamond mine for market insights. People are constantly sharing their opinions, reviews, and even selfies. These raw insights give us a sneak peek into what customers like, dislike, and talk about.Beyond just keeping an eye on competition, big data plays a major role in launching new products. It highlights what customers prefer and helps businesses improve or introduce new features accordingly.In fact, if we happen to see it- today's digital world isn't just supported by data; it's powered by it. So whether you are an e-commerce business or from any other industry, market intelligence now depends on fast-flowing, diverse datasets.
Data-driven innovationInnovation isn’t just about having a great idea. In reality, it takes a lot of ideas to figure out what's worth exploring. That's where the datasets help.
With big data tools, research and development teams can explore more, move faster and often come up with new products and services. The perfect example of data's power can be seen in the London stock exchange, which now earns more from selling data than trading securities! And, of course these cannot be achieved without the right tools and expertise.
Better supply chain managementWith real-time analytics into every stage, be it sourcing materials or delivering products, big data is revolutionizing is supply chain management. By analyzing large volumes of data from transportation networks,
big data engineers can spot potential disruptions before they cause delays.
Better pricing for more salesDomino’s Pizza is an extraordinary example of an e-commerce business using
big data to boost sales. In U.S, their “AnyWare” ordering program allows customers to purchase pizza via their smartwatches, TVs, cars, and social media. This made sales relatively easy and was a critical advantage for its pizza sales. However, combining data from disparate sales channels in real time was inconceivable without modern technology.
Therefore, to alleviate this, they integrated information from 85,000 unstructured and structured data sources, using a big data platform. Now, with a single view into customers and global operations, Domino's could standardize data from all point-of-sale systems and supply centers.
Marketing & advertisingAnother important contribution of big data in e-commerce is the ability to run highly targeted advertising. By understanding customer behavior, businesses can create campaigns that speak to them. For example, outdoor gear brands can promote hiking boots or camping equipment specifically to customers with similar interests.
It can also help track how well these campaigns are performing. For example, if a social media ad leads to a spike in traffic and sales, that’s a clear sign it’s working. This kind of insight helps businesses plan their marketing spends in advance for better results.
How to Hire a Big Data Engineer.
In today’s data-driven world, hiring a skilled big data engineer can truly make a difference. But finding the right person isn't always easy. Because it's not just about technical skills but also about the ability to understand business needs.
That’s why, at Spiral Mantra, a leading
data engineering services company, we provide experienced big data engineers who can help transform your business through data-driven solutions.