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Why Your Business Needs Predictive Analytics?

Predictive analysis empowers entrepreneurs to put their best foot forward in the world of the business industry. As a prominent IBM Consultant, Nathan Greenhut states, “Predictive analytics can be used for determining events or outcomes before they happen, simulation of a process to determine bottle


Predictive analysis empowers entrepreneurs to put their best foot forward in the world of the business industry. As a prominent IBM Consultant, Nathan Greenhut states, “Predictive analytics can be used for determining events or outcomes before they happen, simulation of a process to determine bottlenecks and risks as well as in “what-if” scenarios to determine the “best” course of action.”

It is a business model that collects and extracts past data allowing organizations to generate conjecturing outcomes so they can devise strategies that lead to a profitable business.

Companies gather data, excavating some, by deploying various modeling tools such as networking, artificial intelligence, and machine learning to forecast prospects’ future performance and decisions.

During its early days, this trend attracted few businessmen however, in recent times, it has become prevalent with almost every organization rooting for it.

Predictive analytics has become accessible, interactive, and fast, proving to be exceedingly beneficial in every industry.

Implementing these analytics can give profound insights that can influence a great deal of upselling, sales and revenue projection, business optimization, and product development.

So if you plan to pursue a business analytics degree online or become an accomplished business leader, you need to know that analytics is a prerequisite!

Here’s why your expertise in data-driven business strategy is worthwhile for your industry:


Predictive analytics gives insights into the best strategies devised in the past to develop a product that has previously triggered great demand among the target audience. We can make the best possible selections from the previous experiences to minimize risk and yield maximum paybacks. This way, we can foresee if a strategy is going to be successful and determine if we are investing in the right business.

For instance, the popular Netflix series, ‘House of Cards’ was produced after a predictive analysis of the winning combination. Kevin Spacey (the lead actor), David Fincher (the director) and the British version of the show, all three have been a success in the past and so the show turned out to be a tremendous hit.

Similarly, Insurance companies use analysis based on several factors that influence their customers. These factors include personality, business, accidents, natural disasters, social, economic, or political unrest. Also, weather forecasts enable companies to predict climatic conditions that can put customers at risk. Hence, they use risk analytics to predict the upcoming incidents, identify their prospective customers and determine suitable offers that can enhance their sales.


Business analytics help companies to provide an insight into its resources, finances, or inventory to analyze if they are being maintained efficiently.

The result of the analysis can enable companies to design an effective strategy that will save time, resources and money, leading to the dynamic performance of their businesses.

For years Shell, dissipated millions of dollars a day because of its lack of knowledge linking to its machinery downtime. The oil giant was oblivious of the maintenance and restocking of its inventory. Therefore, the company used predictive analysis to identify the gaps in its product offerings and determine the station for inventory items. They recognized the timeline of smoldering pieces of machinery following which they planned to purchase new parts. Consequently, their time of relocating inventory items drastically reduced which saved millions of dollars in the process.

Hence, if they would have caught these suspicious trends before through proper analysis, it would have prevented damage and a huge loss of money.


This model characterizes the personalities of individuals using their previous activities. It gives a profound understanding of customers and their needs as it decodes future buying habits and classifies consumers according to the products they can target to cross-sell.

Particularly in online businesses like Amazon, they embed logic to aggregate and correlate information, detecting patterns that target consumer’s interest accordingly.

They create product recommendations based on an individual’s previous purchase data and search activities to conclude what other products they may be interested in. It keeps buyers engaged with relevant products and offers customization for a specific target audience. Even office-based or freelance marketers representing digital startup businesses also use various tools to optimize the websites or web stores, which result in an increase in leads.

Similarly, Facebook uses social characteristics to determine our interests and interactions and so posts with a higher likelihood are given priority and shown on top of the news feed.

Predictive Analytics has become vital for online businesses as it evolves in every industry from healthcare and banking, sports and media to even insurance and government sector. The advertising, marketing, cross-selling, and diverse digital business strategies require analytics as to the foundation.

According to a research firm, MarketsandMarkets, three years from now, the predictive analytics market is expected to be worth $12.41 billion. This model helps the companies to foresee commerce benefits and ensure securities while attracting, recollecting and developing their consumer market. In a nutshell, analytics is the root of business in today’s world and it is here to grow enormously to help us flourish our industries.


Daniel Jack

For Daniel, journalism is a way of life. He lives and breathes art and anything even remotely related to it. Politics, Cinema, books, music, fashion are a part of his lifestyle.