How Data Mining helps App Development?

By James Tredwell on April 28, 2019

Not long ago it was told we live in an information age. But, are we still at the same time?

Today, the world is driven by data. Large amounts of data are collected every second from multiple sources: whether it is from IoT devices, smart cars or through by merely uploading content.

Content that can any form: text, videos or images. The data is soaring online. It is voluminous and may be structured or unstructured. What can we do we such data?

Should we let it go or “torture the data, until it confesses something” (Ronald Coase)?

Well, most of the economists or the engineers saw data as knowledge. “Various kinds of knowledge can be minded from these kinds of data”- the knowledge that can empower businesses or individuals. Data mining came through in search of this knowledge.

“Data mining is the process of discovering insightful, interesting, and novel patterns, as well as descriptive, understandable, and predictive models from large-scale data.”

Well, in simple terms, data mining is an approach to get all the data together and identify patterns in the data. Several tools are built to ease up the process of collecting voluminous data.

Many sectors across the world are applying data mining to improve their processes significantly. And, app development is no exception. Even though employing data mining is not observed in the traditional app development structure, entrepreneurs are not restraining themselves from this innovation.

Rapid application development companies today are using to meet their clients’ needs precisely. At every level of app development, data mining can be applied to bring exceptional results. Let’s see a few them:

Comprehend Customer Behavior

The first step of app development process to narrow down the requirements and define a structure to go ahead. Taking into account several parameters in a specific industry, data mining pulls the data across online platforms and puts them together. This data can be used to comprehend the customer behaviors based on demographics such as age, location, and others.

The developer delves in gathering the information and determine a pattern observed in the data. As it is easy to collect and analyze consumers’ digital trail, deeper insights of the customer insights can be captured. Data mining looks at the behavior at a granular level and helps conclude on customer behavior in different sectors.

Even though, it seems like a lengthy process, it only takes a few minutes using data mining tools. You would be surprised to know that this process would take less than a minute sometimes.

Define Industry-Specific Needs

When you are building an app for food delivery, do you know which is the key factor or the primary features? Let’s take a guess: is it type of cuisine, is it the distance or the health factor? Instinctive decisions may not be accurate all the time. Every industry has different needs: what a patient looks in an app is different from what an e-commerce customer would look for.

When a developer builds an app in a specific industry, a high-level understanding of the industry is required. It is essential to understand innovative trends in the industry and how they can solve a particular business problem. Data mining helps to comprehend various industry processes and design a solution-centric app.

This saves a great deal of time for developers and follows an industry agnostic approach. Building an app definite to industry demands can help businesses address the key areas and reach their goal.

Streamline Daily Operations

“Extracting important knowledge from a mass of data can be crucial, sometimes essential.” It is essential to define and streamline the workflow of apps. Data mining can help app workflows in two different ways:

Build predictive power employing data mining to recognize unknown or future values of the features

Acquire descriptive power using data mining to find innovative and human interpretable patterns

For instance, Alibaba uses data mining to find a bag matching the photo you uploaded or with the keyword you enter in the shopping site. Digital assistants like Alexa, Siri, and Google Assistant employ data mining to provide relevant data or execute tasks. Similarly, apps can incorporate data mining to route everyday tasks on the app.

Incorporate Personalization for Every Individual

Every individual is different, and his needs are different. Today marketing and promoting products has become an integral part of app development. And, for years digital marketers are aiming for personalized marketing and enhance customer engagement. Especially, when it comes to retail apps, personalized marketing is the success of the app.

All that customers want to hear is: “We have curated an exceptional offering for you. Based on your preferences, previous purchases and your local weather forecast, we’ve prepared your offer in an optimized format for your consideration. Thank you for your business, and

we’re here for you any time.”

Customers, today, expect more than personal engagement, they also consider the right time. When an app which is the face of the business is not available when the customer needs, it might decrease the app value. Data mining with other cognitive technologies makes it possible to encourage personalization at an individual level.

“Data will be talking to you; if you are willing to listen” (Jim Bergeson). Knowledge empowers any processes. And, data mining reveals the right insights for app development at every level to ensure app success and customer satisfaction.

This article is contributed by Thomas Honey, professional writer at ONGO FrameworkMobile App Development company

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