Leveraging the Potential of Predictive Analysis for Business Success

Janica San Juan
Feb 16, 2018 · 4 min read

Business organizations across all industries are coming to the realization that their customers are leaving behind a lot of useful data from both online and in-store interactions. While many are keen to collect and store such data, they seldom go beyond this point and thus do not realize the full potential of this treasure of information.

The use of predictive analysis is one way in which commercial organizations can make the most of available data to optimize business processes and achieve higher efficiency levels. The essence of predictive analytics is an insight as opposed to hindsight. It is not so much about the data but about the meaning and signals that can be inferred from the depths of such data.

What is Predictive Analysis?

Predictive analysis is a subset of intelligent automation through machine learning that makes use of statistical data to draw insights and predict future outcomes. It is basically a study of current and past events to give understanding on future possibilities. Such possibilities or outcomes may include likely customer behavior or market changes.

There are two major predictive models, classification and regression. The classification model predicts the class membership of a given set of data while the regression model predicts numerical outcomes. These models use advanced algorithms for data mining, analysis of statistics and then establish patterns and trends on which business owners can base their decisions.

Robotic Process Automation (RPA) is one of the biggest contributors to this discipline. Bots are able to collect accurate data in the process of carrying out their programmed tasks. Additionally, they are able to access data from legacy systems that are incompatible with the advances automation software use for predictive analytics.

Their essential role in data collection cannot be overstated as without this data no analysis would take place. Moreover, RPA is one of the tools in Workfusion’s automation toolkit. WorkFusion offers a time-tested approach to this implementation process since it makes RPA easy to apply to business processes. It aims to help your business reap the full potential of predictive analytics as well as other core aspects of machine learning.

How to Leverage Predictive Analysis for Business

Big data together with predictive analysis is currently one of the most effective ways to ensure that your business model draws as much traffic as it can and reaches its full potential for profitability. How can you make the most of this advanced technology in your business?

Consider a number of ways:

Using predictive analytics, it is becoming much easier to forecast the inventory requirements and production rates for any given item based on expected consumption rate. Whether you are involved in production or simply purchase to resell, this intelligent automation process reduces inefficient stocking practices and production failures.

Certain industries like finances require accurate insight when it comes to individual or business screening. The automated analytics system will be able to interpret historical data and inform sensible decisions as well as avoid undue risk.

Additionally, this technology helps in fraud detection and prevention by analyzing behavioral patterns and flagging potential risks. Any changes in behavior are easily spotted and treated as anomalies that can be highlighted to prevent threats.

The automation software used for predictive analysis makes your business agile as decision-making is simplified. This gives you an edge over competitors who might still be relying on manual systems.

Marketers operate from a point of knowledge as they are able to study trends and gain better insight. They are able to pinpoint promising leads with a higher propensity to purchase and tailor their campaigns to reach such targets. This makes their work less reliant on guesswork and more likely to be effective and efficient.

The technology enables you to develop more personalized approaches that can increase customer satisfaction and make it easier to retain them. This increases revenue generation and pushes your company to greater heights.

At the end of the day, the most important goal for a business is to minimize costs and maximize profits. This is made much easier by analytical processes that assess historical data to suggest the most optimal way of accomplishing any given task. Cost effectiveness is the most obvious and crucial result of such processes.

Using automation software based on predictive analysis can effectively propel a business to success. However, the implementation process has to be precise so as to achieve any significant effect.

Janica San Juan

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BA Political Science graduate from UP Diliman l Startup Founder l Follower of Christ