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Why is Data Visualization Important in Data Analytics?

Author: Sg Analytics
by Sg Analytics
Posted: Feb 03, 2023

Managers can create specific reporting dashboards to visualize the insights obtained through data collection and analysis. Sometimes, these dashboards provide several customizations, ranging from waterfall diagrams to scatter plots. Using them facilitates ease of communication and helps you conduct meetings efficiently. This post will elaborate on why data visualization is important in data analytics.

What is Data Visualization?

Data visualization transforms extensive datasets from tabulated numerical results into user-friendly charts, maps, animations, diagrams, and graphs. So, a data analytics consulting firm can make it easier to understand dataset patterns and identify mathematical outliers using visualized reports.

Time-based dashboards simplify business communications concerning the progress of data aggregation and modernization solutions. Meanwhile, corporations can use visualization to train employees more efficiently.

After all, humans are visual learners. You show them a more interactive flowchart, and they will learn the required activities faster. Moreover, visualizations like a heat map or a Gantt chart assist professionals in project risk management.

Why is Data Visualization Important in Analytics?

Data analytics combines computer science and statistical modeling to identify, study, and report patterns in databases. Therefore, most data modernization solutions

  • aim to help businesses perform scalable analytics.

Analytics consulting firms consider data visualization important because it improves reporting quality. Remember, analysts must discuss the acquired insights with stakeholders who find it challenging to write and execute a well-coded script to filter trends.

Imagine an organization that uses data aggregation solutions

  • and researches how a competitor’s products perform in the market. Its sales, production engineering, design, and marketing teams would like to emphasize specific components of the generated dataset.

They will also want to compare the organization’s current offerings with the competing product to identify improvement opportunities. So, visualization in data analytics is important since your departments can explore and filter the trends to develop reports optimized for different business queries.

Advantages of Integrating Data Visualization and Business Analytics

Benefit 1| Flexible Reporting Module

A visualization reporting module can specialize in comparative data representation or automatically generate qualitative descriptions. It is up to the business unit to decide which modules it wants to use when creating reports.

Pre-configured report elements, or presets, save a lot of time that would otherwise demand the expert guidance of a development programmer. Likewise, other visualization modules help you migrate data from one analytics provider to another consulting firm.

Application programming interfaces (APIs) also unlock exciting opportunities for building smartphone apps that stream dynamic visualizations. Therefore, your employees can access the dashboards or personalize some reporting modules on their mobile devices.

Benefit 2| Automated Recommendations

Modern data visualization platforms periodically offer insights by conducting automated analytical activities on cloud servers. These insights might suggest changing the visual scale for improved user experience (UX). Otherwise, they will alert you about sudden changes in performance trends.

For example, some data modernization solutions will help you migrate to advanced marketing analytics that leverages artificial intelligence (AI). Later, your visualizations will also feature ideas and tips to bridge the gap between your business objectives and observed performance. The new platforms automatically tell you which marketing campaigns exhibit the best return on ad spend (ROAS).

Benefit 3| Data Presentation Architecture

Data presentation architecture (DPA) offers a secure, standardized, and user-friendly representation of data management operations. It enables you to manage data aggregation, analytics, reporting, and modernization solutions to deliver efficient business communications.

You can manage visualizations using a "drag and drop" feature and a functioning mouse or touchscreen. Think of how teachers have already become familiar with smartboards, while team management applications offer schedule visualization tools to remove ambiguity from project planning.

2020 has pushed DPA services toward a mobile-first philosophy. Also, the continuous R&D (research and development) into simplified dashboard creation has made it popular among individuals unfamiliar with coding syntaxes and programming principles.

Benefit 4| Quicker Problem Resolution

Data aggregation solutions can collect intelligence on how your products perform and what the consumers think about them. However, you will also learn about different issues affecting customer satisfaction levels on consumer complaint forums via social listening.

Performing a root cause analysis (RCA) is crucial to resolving each end-users problem. Data visualization and analytics will significantly contribute to RCA for quality inspection and problem determination.

For example, you can visualize how a product usually deteriorates over a 10-year serviceability period. Later, use the generated reports to identify durability or manufacturing issues with defective products. Data analytics consulting firms might customize visualizations to represent financial risks and challenges in supply chain management.


Visualized reporting solutions increase collaboration because they improve comprehension regardless of whether an employee has the programming skills used in data aggregation. Therefore, many organizations use data modernization solutions to upgrade their reporting systems.

Data visualization is important in analytics because every department can use filtering tools to concentrate on the most relevant insights. Besides, each employee can navigate the dashboards using flexible layouts, presets, and reporting modules.

A leader in data analytics consulting, SG Analytics provides organizations with automated dashboards based on deep learning models for real-time reporting. Contact us today if you want a robust data visualization ecosystem that leverages the latest technologies.

About the Author

SG Analytics is a leading global insight and data analytics research company facilitating tailor-made data-centric solutions to enterprises across the globe.

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Author: Sg Analytics

Sg Analytics

Member since: Nov 22, 2022
Published articles: 15

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