Organizations, companies, start-ups etc., spend a significant amount of money while employing big data to work to their advantage. No wonder, this is the era of making big profits through big data training. But, imagine the horror if one was to realize that they have been searching answers to irrelevant questions that have little bearing on their end goals.
Worse would be to come to the conclusion that they were paying through their nose to arrive at those answers.
Here are some pointers that will guide you to come up with the most relevant questions and chart the right path to move ahead.
Just because you can, should you?
It’s also called the Jurrasic Park problem due to the obvious similarities. What humans have and the massively intelligent data-crunching technology doesn’t is the power of discernment. No super computer possesses it, and Artificial Intelligence can only dream of having it.
Exercise the power of discernment. It will lead you to celebrate your differences. After all, it’s only by having a distinct characteristic that you can rule the hearts of your end users and beneficiaries.
Focus on the means, not just the end
Would a cake baked at 200 degrees for 30 minutes and another baked at 200 degrees for 50 minutes will have the same taste? Knowing to mix the batter is one thing, employing the correct baking conditions another.
You might be very knowledgeable in your field, but if you don’t know how to apply it, it will be hard to succeed. When you focus on providing products through the right medium and create sustainable channels that consider human factors, you are paving way for a success that will not be short lived. Asking the right questions initially means building a structure that will give the right results continually.
Am I looking deep enough?
The task of big data is to give fodder and the job of analytics is to clean that fodder and sniff out the tastiest morsels, meaning the best insights that can overhaul your processes and improve bottom lines. To accelerate insights, you need to be delving into the right data in the first place.
Arriving at the right questions needs some brainstorming with the representatives of various verticals within your organizations and narrowing down the problem areas. Such an activity is important to get to know what’s really going on in the work area, what is causing losses, where is the potential disappearing, and whether there are unaddressed grievances. Next, you need to know your market, from the basics of demographics to what they need, where they are interested and so on. Finally, you need to explore new options that have the potential to be leveraged to give high returns.
The importance of asking the right questions cannot be emphasized enough. And for those who are trained well to listen to the right sounds in their business, big data will only take them further up on the success ladder.
