-

 Data Visualization

Data Visualization is the practice of representing data and information visually or the graphical representation of information and data. By using visual elements like charts, graphs, maps, dashboards, and other formats to help people understand complex data quickly and clearly.

This purposely make data understandable, reveal trends and patterns, compare variables ,tell a story with data, support decision-making and also insight some benefit like helps non-technical users understand data , makes trends and outliers visible , speeds up business decision-making , enables storytelling with data , enhances data exploration and interaction .

Data Visualization contains an Traditional Tools side which carry { Tableau , Power BI } whereas its Moder Tools side consist { Google data studio , AI based Visulization } .

Segration amog Data Visualization by diffrent Tools

1. Tableau

Tableau is a highly popular tool for visualizing data for its function , it is a great option for those who need to create maps in addition to other types of charts . 

  • Drag-and-drop dashboard creation

  • Connects to multiple data sources

  • Advanced visual storytelling

  • Ideal for analysts and business users

2. Power BI

Power BI stands out in the world of big data visualization tools for its exceptional ability to transform raw data into meaningful insights. This tool supports Database including SQL .

  • Built by Microsoft

  • Strong integration with Excel and Azure

  • AI-powered insights and predictive tools

  • Great for enterprise reporting

3. Google Looker Studio (formerly Data Studio)

Google Data Studio is a free web based data visualization tool from google . it transform raw data into engaging visual stories through charts , graphs and other interactive elements .

  • Cloud-based and free

  • Google product ecosystem integration (Sheets, Analytics, Ads)

  • Real-time dashboards for marketers and SMEs

4. AI-Based Platforms (e.g., ThoughtSpot, Tellius)

AI Based Platform helps in handling large database , identify patterns and present data in a way that makes your data and insights accesible to both technical and non technical users .

  • Use Natural Language Processing (NLP): Ask data questions in plain English

  • Automatically discover trends and outliers

  • Predict future patterns

  • Reduce manual dashboard creation tim

Comparision betweeen the Tools 

Feature
Tableau
Power BI
Looker Studio		 
AI-Based Platforms
  • Ease of Use
  • Medium
  • High
  • High
  • Very High (with NLP)
  • AI Capabilities
  • Moderate (Pulse)
  • Strong (AutoML)
  • Low
  • Very Strong
  • Data Source Support
  • Extensive
  • Extensive
  • Google-Centric
  • Varies widely
  • Cost
  • High (enterprise)
  • Moderate
  • Free
  • High (enterprise)
  • Collaboration
  • Strong
  • Strong
  • Real-Time
  • Strong

Comments

Post a Comment