Explore Courses
course iconScrum AllianceCertified ScrumMaster (CSM) Certification
  • 16 Hours
Best seller
course iconScrum AllianceCertified Scrum Product Owner (CSPO) Certification
  • 16 Hours
Best seller
course iconScaled AgileLeading SAFe 6.0 Certification
  • 16 Hours
Trending
course iconScrum.orgProfessional Scrum Master (PSM) Certification
  • 16 Hours
course iconScaled AgileSAFe 6.0 Scrum Master (SSM) Certification
  • 16 Hours
course iconScaled Agile, Inc.Implementing SAFe 6.0 (SPC) Certification
  • 32 Hours
Recommended
course iconScaled Agile, Inc.SAFe 6.0 Release Train Engineer (RTE) Certification
  • 24 Hours
course iconScaled Agile, Inc.SAFe® 6.0 Product Owner/Product Manager (POPM)
  • 16 Hours
Trending
course iconKanban UniversityKMP I: Kanban System Design Course
  • 16 Hours
course iconIC AgileICP Agile Certified Coaching (ICP-ACC)
  • 24 Hours
course iconScrum.orgProfessional Scrum Product Owner I (PSPO I) Training
  • 16 Hours
course iconAgile Management Master's Program
  • 32 Hours
Trending
course iconAgile Excellence Master's Program
  • 32 Hours
Agile and ScrumScrum MasterProduct OwnerSAFe AgilistAgile CoachFull Stack Developer BootcampData Science BootcampCloud Masters BootcampReactNode JsKubernetesCertified Ethical HackingAWS Solutions Artchitct AssociateAzure Data Engineercourse iconPMIProject Management Professional (PMP) Certification
  • 36 Hours
Best seller
course iconAxelosPRINCE2 Foundation & Practitioner Certificationn
  • 32 Hours
course iconAxelosPRINCE2 Foundation Certification
  • 16 Hours
course iconAxelosPRINCE2 Practitioner Certification
  • 16 Hours
Change ManagementProject Management TechniquesCertified Associate in Project Management (CAPM) CertificationOracle Primavera P6 CertificationMicrosoft Projectcourse iconJob OrientedProject Management Master's Program
  • 45 Hours
Trending
course iconProject Management Master's Program
  • 45 Hours
Trending
PRINCE2 Practitioner CoursePRINCE2 Foundation CoursePMP® Exam PrepProject ManagerProgram Management ProfessionalPortfolio Management Professionalcourse iconAWSAWS Certified Solutions Architect - Associate
  • 32 Hours
Best seller
course iconAWSAWS Cloud Practitioner Certification
  • 32 Hours
course iconAWSAWS DevOps Certification
  • 24 Hours
course iconMicrosoftAzure Fundamentals Certification
  • 16 Hours
course iconMicrosoftAzure Administrator Certification
  • 24 Hours
Best seller
course iconMicrosoftAzure Data Engineer Certification
  • 45 Hours
Recommended
course iconMicrosoftAzure Solution Architect Certification
  • 32 Hours
course iconMicrosoftAzure Devops Certification
  • 40 Hours
course iconAWSSystems Operations on AWS Certification Training
  • 24 Hours
course iconAWSArchitecting on AWS
  • 32 Hours
course iconAWSDeveloping on AWS
  • 24 Hours
course iconJob OrientedAWS Cloud Architect Masters Program
  • 48 Hours
New
course iconCareer KickstarterCloud Engineer Bootcamp
  • 100 Hours
Trending
Cloud EngineerCloud ArchitectAWS Certified Developer Associate - Complete GuideAWS Certified DevOps EngineerAWS Certified Solutions Architect AssociateMicrosoft Certified Azure Data Engineer AssociateMicrosoft Azure Administrator (AZ-104) CourseAWS Certified SysOps Administrator AssociateMicrosoft Certified Azure Developer AssociateAWS Certified Cloud Practitionercourse iconAxelosITIL 4 Foundation Certification
  • 16 Hours
Best seller
course iconAxelosITIL Practitioner Certification
  • 16 Hours
course iconPeopleCertISO 14001 Foundation Certification
  • 16 Hours
course iconPeopleCertISO 20000 Certification
  • 16 Hours
course iconPeopleCertISO 27000 Foundation Certification
  • 24 Hours
course iconAxelosITIL 4 Specialist: Create, Deliver and Support Training
  • 24 Hours
course iconAxelosITIL 4 Specialist: Drive Stakeholder Value Training
  • 24 Hours
course iconAxelosITIL 4 Strategist Direct, Plan and Improve Training
  • 16 Hours
ITIL 4 Specialist: Create, Deliver and Support ExamITIL 4 Specialist: Drive Stakeholder Value (DSV) CourseITIL 4 Strategist: Direct, Plan, and ImproveITIL 4 Foundationcourse iconJob OrientedData Science Bootcamp
  • 6 Months
Trending
course iconJob OrientedData Engineer Bootcamp
  • 289 Hours
course iconJob OrientedData Analyst Bootcamp
  • 6 Months
course iconJob OrientedAI Engineer Bootcamp
  • 288 Hours
New
Data Science with PythonMachine Learning with PythonData Science with RMachine Learning with RPython for Data ScienceDeep Learning Certification TrainingNatural Language Processing (NLP)TensorflowSQL For Data Analyticscourse iconIIIT BangaloreExecutive PG Program in Data Science from IIIT-Bangalore
  • 12 Months
course iconMaryland UniversityExecutive PG Program in DS & ML
  • 12 Months
course iconMaryland UniversityCertificate Program in DS and BA
  • 31 Weeks
course iconIIIT BangaloreAdvanced Certificate Program in Data Science
  • 8+ Months
course iconLiverpool John Moores UniversityMaster of Science in ML and AI
  • 750+ Hours
course iconIIIT BangaloreExecutive PGP in ML and AI
  • 600+ Hours
Data ScientistData AnalystData EngineerAI EngineerData Analysis Using ExcelDeep Learning with Keras and TensorFlowDeployment of Machine Learning ModelsFundamentals of Reinforcement LearningIntroduction to Cutting-Edge AI with TransformersMachine Learning with PythonMaster Python: Advance Data Analysis with PythonMaths and Stats FoundationNatural Language Processing (NLP) with PythonPython for Data ScienceSQL for Data Analytics CoursesAI Advanced: Computer Vision for AI ProfessionalsMaster Applied Machine LearningMaster Time Series Forecasting Using Pythoncourse iconDevOps InstituteDevOps Foundation Certification
  • 16 Hours
Best seller
course iconCNCFCertified Kubernetes Administrator
  • 32 Hours
New
course iconDevops InstituteDevops Leader
  • 16 Hours
KubernetesDocker with KubernetesDockerJenkinsOpenstackAnsibleChefPuppetDevOps EngineerDevOps ExpertCI/CD with Jenkins XDevOps Using JenkinsCI-CD and DevOpsDocker & KubernetesDevOps Fundamentals Crash CourseMicrosoft Certified DevOps Engineer ExperteAnsible for Beginners: The Complete Crash CourseContainer Orchestration Using KubernetesContainerization Using DockerMaster Infrastructure Provisioning with Terraformcourse iconTableau Certification
  • 24 Hours
Recommended
course iconData Visualisation with Tableau Certification
  • 24 Hours
course iconMicrosoftMicrosoft Power BI Certification
  • 24 Hours
Best seller
course iconTIBCO Spotfire Training
  • 36 Hours
course iconData Visualization with QlikView Certification
  • 30 Hours
course iconSisense BI Certification
  • 16 Hours
Data Visualization Using Tableau TrainingData Analysis Using Excelcourse iconEC-CouncilCertified Ethical Hacker (CEH v12) Certification
  • 40 Hours
course iconISACACertified Information Systems Auditor (CISA) Certification
  • 22 Hours
course iconISACACertified Information Security Manager (CISM) Certification
  • 40 Hours
course icon(ISC)²Certified Information Systems Security Professional (CISSP)
  • 40 Hours
course icon(ISC)²Certified Cloud Security Professional (CCSP) Certification
  • 40 Hours
course iconCertified Information Privacy Professional - Europe (CIPP-E) Certification
  • 16 Hours
course iconISACACOBIT5 Foundation
  • 16 Hours
course iconPayment Card Industry Security Standards (PCI-DSS) Certification
  • 16 Hours
course iconIntroduction to Forensic
  • 40 Hours
course iconPurdue UniversityCybersecurity Certificate Program
  • 8 Months
CISSPcourse iconCareer KickstarterFull-Stack Developer Bootcamp
  • 6 Months
Best seller
course iconJob OrientedUI/UX Design Bootcamp
  • 3 Months
Best seller
course iconEnterprise RecommendedJava Full Stack Developer Bootcamp
  • 6 Months
course iconCareer KickstarterFront-End Development Bootcamp
  • 490+ Hours
course iconCareer AcceleratorBackend Development Bootcamp (Node JS)
  • 4 Months
ReactNode JSAngularJavascriptPHP and MySQLcourse iconPurdue UniversityCloud Back-End Development Certificate Program
  • 8 Months
course iconPurdue UniversityFull Stack Development Certificate Program
  • 9 Months
course iconIIIT BangaloreExecutive Post Graduate Program in Software Development - Specialisation in FSD
  • 13 Months
Angular TrainingBasics of Spring Core and MVCFront-End Development BootcampReact JS TrainingSpring Boot and Spring CloudMongoDB Developer Coursecourse iconBlockchain Professional Certification
  • 40 Hours
course iconBlockchain Solutions Architect Certification
  • 32 Hours
course iconBlockchain Security Engineer Certification
  • 32 Hours
course iconBlockchain Quality Engineer Certification
  • 24 Hours
course iconBlockchain 101 Certification
  • 5+ Hours
NFT Essentials 101: A Beginner's GuideIntroduction to DeFiPython CertificationAdvanced Python CourseR Programming LanguageAdvanced R CourseJavaJava Deep DiveScalaAdvanced ScalaC# TrainingMicrosoft .Net Frameworkcourse iconSalary Hike GuaranteedSoftware Engineer Interview Prep
  • 3 Months
Data Structures and Algorithms with JavaScriptData Structures and Algorithms with Java: The Practical GuideLinux Essentials for Developers: The Complete MasterclassMaster Git and GitHubMaster Java Programming LanguageProgramming Essentials for BeginnersComplete Python Programming CourseSoftware Engineering Fundamentals and Lifecycle (SEFLC) CourseTest-Driven Development for Java ProgrammersTypeScript: Beginner to Advanced

Amazing Benefits of Data Visualization in 2024 Need to Know

Updated on 13 November, 2022

8.34K+ views
13 min read

What is Data Visualization?

A business generates data daily related to production, sales, marketing, customer feedback, team structure, costs, and other metrics. Sometimes it isn't easy to get a clear picture of the business because of unstructured data, and data visualization benefits the company by visually structuring the data. To use Data Visualization in business, it’s important to understand the advantages and disadvantages of data visualization.

Pros of Data Visualization

Data visualization aims to make all that granular data easy to understand, visually engaging, and valuable for your business decisions. Data visualization tools today combine data from external sources not only to make your KPIs more visible but also to reveal relationships between them, the market, and the world. 

Importance of Data Visualization

Identifying data trends quickly is impossible without data visualization, which helps businesses save time and money. The pictorial representation of data sets allows analysts to see patterns and concepts more clearly. Every day quintillion bytes of data are being generated, making it impossible to make sense of them without data visualization. Decision-makers can link data through visualization to get a deeper understanding and benefit from it in the following ways: 

1. Allows good decision-making 

Most firms are moving toward data-driven decision-making, where all critical choices are made using data. Visualizing the data is the best way to understand the current situation, and having all the information available allows them to make the most informed decision possible Data Visualization with Tableau Training can be helpful for teams in accurate decision-making.

2. Develop machine learning models 

It takes a lot of study on the dataset to develop effective machine learning models. Therefore, determining the path you will follow when developing machine learning solutions is essential, and the key to choosing that path is combining data visualization with exploratory data analysis. In addition, once ML solutions are developed, data visualization becomes an integral part of tuning hyper-parameters, allowing data scientists to group variables that need to be concentrated on. 

3. Regular flow of project or model information to stakeholders 

It is important to keep stakeholders informed as the data scientists proceed with the steps in data science projects. To accomplish this, data scientists typically use data visualization techniques that allow them to provide all the information the stakeholders need without entangling themselves in the complexities of the projects. For each project, data scientists use different performance and accuracy metrics to demonstrate how things are going. Furthermore, the visuals provide information about the project's direction and goals, and Visuals are the perfect way to present this information to stakeholders precisely what they seek. 

4. A picture is more efficient than words 

Using a graphic rather than just plain text is always more beneficial. The chance of any issue would be eliminated first by employing a visual. Second, with visualization, it's not necessary to read the text, which is also less psychologically appealing. The reader will have to pay the slightest attention to it, which is also a lot more enticing. Additionally, visualizations are pretty good at drawing attention; even a fleeting glance can provide users with the required information.

5. Summarize the results 

It is important to remember that multiple teams are involved in the project lifecycle. To present results simply to external pillars of the business, such as project management or human resources, the team must simplify the results. Data visualization allows them to monitor progress without missing any critical details.

Interactive Data Visualization Features You Should Know

Interactive data visualization allows users to manipulate graphical data representations and evaluate the data, which helps to make informed decisions and good user engagement. Business Intelligence Training will help understand some useful interactive data visualization features like, 

  • Filters 

Data filters limit the data displayed in a chart or dashboard if there is a lot of data and you want to focus on a particular area. Filters can also provide different combinations of data. As a result, adding filters allows visitors to adjust their criteria to examine the data instead of having another visual or dashboard for each category. 

  • Drill Down 

Drill down is a feature allowing users to view the data more in general than specific ones by clicking a button. In other words, drill-downs enable users to organize data into hierarchies so that with one click on a chart component, users can drill and explore the data in a particular component piece. 

  • Sorting 

It allows seeing data in ascending and descending order. 

  • Show / Hide values 

This feature is beneficial in evaluating a large data set. 

Benefits of Data Visualization for Your Business

There are various advantages of data visualization at an individual and organizational level. 

Benefits to Individuals / Users:

  1. The graphic representations interpret the large data clearly and cohesively and allow the users to understand it clearly. And the use of data visualization, managers and other team members aim to understand the important metrics to conclude quickly. 
  2. The data visualization allows sales and marketing users to understand the changing market trends and decide on the changes with maximum gains. 
  3. Data visualization helps to identify errors quickly. 
  4. With data visualization, storytelling becomes more engaging and understandable to users. 

Business Benefits of Data Visualization:

Data visualization may improve many aspects of your company's performance with the correct tools and methods, from marketing and branding to teamwork and efficiency. The top five advantages of data visualization are listed below: 

  1. Data visualization quickly absorbs a large amount of business data and helps business owners to understand multidimensional data and make informed data-driven decisions. 
  2. Data visualization gives faster access to meaningful business insights; for instance, the business may quickly learn where to focus their efforts and resources to satisfy demand when the customer-based organization survey is represented in the histogram. 
  3. Data visualization helps to set measurable goals, link them with business objectives and track them. 
  4. There are numerous moving components involved in managing a successful organization. You can more clearly see the links between the multifaceted activities of your diverse operations with the help of effective data visualization. To increase efficiency over time, it also helps you examine crucial business KPIs, optimize daily operations, and test the efficacy of project execution strategies. 
  5. A key to a successful business is to satisfy customer needs, which can be achieved by understanding customer sentiments. With the help of data visualization, one can delve deeper into consumer sentiments and customer-focused data to learn more about how people feel about the organization, what they say about it on social media, how they spread the word about your company, and other things. 

The organization can shape the business and marketing strategy by customizing brand exposure and enhancing the customer experience.

Gain expertise in business analysis and boost your professional credibility with our prestigious ecba certificate. Achieve your career goals now!

Who Uses Data Visualization?

By bringing data to life through data visualization, you become a skilled storyteller of the insights concealed in your numbers. Data visualization enables users to quickly and efficiently build insightful business knowledge using live data dashboards, interactive reports, charts, graphs, and other visual representations. Banking, financial services, insurance, real estate, education, information technology, telecommunication, retail, and e-commerce are just a few examples of the industries that make up the data visualization sector.  

Impact of Data visualization

Data visualization is becoming increasingly important. As we gather more and more data, to the point that we are virtually overwhelmed with it and find it difficult to tell what is important and what is not. For example, when developing a new car, it is imperative to analyze test data, but doing so at the necessary speed is difficult due to the enormous amount of information that is generated with each test drive or flight. Visualization software aids in understanding complex data and spotting patterns and irregularities. 

The aesthetic value of visualization in representing and delivering a clear message is significant. If data visualization is not used, businesses that only rely on data will eventually fail. On the other hand, the competitive advantages of data visualization can make businesses. Various training courses are available, and KnowledgeHut Data Visualization with Tableau Training will help you understand the real-world applications of Tableau and Data Visualization.

Why Choose Data visualization as a Career

Careers in data visualization center on expressing complex data in ways that laypeople may understand. With a degree in this area, people can work as data analysts, engineers, or scientists specializing in data visualization. People who appreciate using their critical thinking and problem-solving abilities to take raw data and present it in various ways are best suited for a career in data visualization. Careers in data visualization frequently pay well. These professionals frequently have the option of working from home, and they have access to opportunities in various industries.

Looking to boost your career in data science? Get a professional data science certification and unlock endless opportunities! Don't miss out on this unique chance to excel in the world of data.

Conclusion

Using data visualization, organizations can use our innate ability to perceive and understand visual imagery more quickly than written language. Online data visualization tools enable teams to identify insights that may have been missed, create actionable items, and ultimately enhance sales because of the brain's capacity to notice and retain visuals. 

By employing data visualization, organizations may use our natural tendency to notice and comprehend visual images more quickly than written language. Because the brain can detect and remember graphics, online data visualization tools help organizations find insights that may have gone unnoticed, produce actionable items, and ultimately increase sales.

Frequently Asked Questions (FAQs)

1. What is the Purpose of Data Visualization?

The primary goal of this activity is to visualize data and statistics, interpret the displays, and gain information from them. It allows data cleaning, analysis, the detection of outliers and unusual groups, the identification of trends and clusters, the visibility of local patterns, evaluation of model output, and the presentation of results.
 


 

2. What makes data visualization more powerful and useful?

We better understand the information by giving it a visual context through maps or graphs. As a result, patterns, trends, and outliers within large data sets can be easily identified due to a more natural way of perceiving the data for the human mind.
 


 

3. What are the tips for effective data visualization?

  1. When creating data visualization, it is important to have a clear purpose. 
  2. Choose the correct chart for the dataset 
  3. Use text and labels to declutter 
  4. Highlight the important information 
  5. Keep the visualization simple 

4. How does data visualization work?

Visualizing data helps make sense of any data set by translating information into visuals. It's not just about combining a few data points with an appealing visual. A story and context are essential for visualizing data. The process includes seven steps: 

  1. Identify the question that needs to be analyzed 
  2. Collect needed data  
  3. Sort the data 
  4. Choose the best suitable chart for data 
  5. Choose a best suitable tool 
  6. Prepare the data 
  7. In the final step, create the chart 

5. What are the Different Types of Data Visualization?

Basically, there are two types of Data visualization; Exploration, finding a data story, and Explanation, which tells a data story. And under these two categories came different data visualizations like Pie charts, histograms, Scatter plots, Time series, Dendrograms, etc.