27 July 2022
The advanced analytics market is expected to cross $214 billion by 2030 at a CAGR of 21.1% from 2022, with the predictive analytics sector alone expected to cross $55 billion simultaneously. While these numbers may sound staggering, big data and analytics are following an expected trajectory - given that over 90% of enterprises have enabled cloud deployment. It means that the sheer volume of data flowing from enterprises of all sizes has already sounded the alarm bells concerning the importance of data, irrespective of the market.
Why is this so important? Well, that depends on serious you are about beating the competition! Since it lets you personalize the service, you would be able to build a more meaningful relationship with customers. If you don't, you can best believe that your competitor is waiting for them - ready to turn their data into service hooks that reel them in.
If you use Netflix, you probably know the value of data personalization. Imagine being recommended a movie that is on the opposite spectrum of your taste? Wouldn't that deter you from future recommendations? Unfortunately, that's exactly how customers feel. Now, it may seem like something suited for retail, especially e-commerce, businesses - that's just a myth. While personalization plays a big role in helping retailers improve the quality of customer engagement, data analytics is also a transformational force in industries like F&B, BFSI, healthcare, telecom, and more.
With customers becoming increasingly digital-first, the near future will see them generate significantly more data for small-sized businesses. So, the onus is on ensuring that all the tools are in place to help customers take the next best action based on insights drawn from their previous interactions, browsing habits, demographics, etc.
The benefits of leveraging data power may be undeniable, but things aren't exactly hunky dory when it comes to execution. Many SME owners continue to face barriers, such as:
As mammoth as some of these barriers may be, there's no escaping the fact that embarking on a data analytics journey is no longer an option. In order to survive in the current hyper-competitive marketplace, it is absolutely necessary. Of course, eventually, you would need an expert or a simple-to-use AI-based data platform to establish the right workflows and make sure this happens. However, even before you get there, it would help to follow these four simple steps.
Oddly enough, a lot of SMEs don't realize the value of data stored in their systems. So, they tend to miss out on the tremendous benefits of being able to transform the raw, unstructured datasets into actionable game-changing insights. Finding data solutions and platforms is the easy part. You're one Google search away from making those calls to vendors. But it is even more crucial to build a data-first mindset into the fabric of your business. Your customers already have done so in their minds. Can you really afford to be left behind?