AI Data Visualization Tools

Top tools for transforming complex data into clear, insightful visual representations.

Diving into the world of AI data visualization can feel like stepping into a sci-fi movie, right? I mean, who would've thought data could look this good? Yet, here we are, witnessing numbers transform into vibrant, interactive stories.

Why AI? It’s simple. As the datasets get larger, the traditional visualization tools just can’t keep up. AI-powered tools not only handle massive data but also extract insights that were previously hidden. It's like having a personal data detective!

I've spent countless hours experimenting with these tools, and let me tell you, there are some real game-changers out there. From creating mind-blowing charts to extracting actionable insights, these tools are reshaping the way we look at data.

You'll find tools that cater specifically to different industries and purposes. Whether you’re diving into finance, marketing, or academic research, there's something that fits like a glove. And the best part? You don’t need to be a tech genius to use them. Most of these tools are super intuitive.

Ready to transform your data game? Let's delve into the best AI data visualization tools and see how they can revolutionize your workflow.

The best AI Data Visualization Tools

  1. 31. InsightBase for dynamic dashboard creation

  2. 32. Novacene AI for visualizing complex data patterns

  3. 33. Jumprun AI for creating interactive charts and maps

  4. 34. vizGPT for instantly visualize sales trends

  5. 35. Chat2CSV for ai-driven chart selection

  6. 36. Amplitude for user behavior analysis

  7. 37. Grapha Ai for analyzing complex datasets quickly

  8. 38. Marple Data for real-time data insights

  9. 39. LayerNext for enhancing visual data insights

  10. 40. Chartgpt for stock price movements of tech giants

  11. 41. Taylor AI for visualizing complex data relationships

  12. 42. Shape.xyz for performance metrics dashboard

  13. 43. Vizzy for visualizing complex public health trends

  14. 44. Seek AI for dynamic data dashboards

  15. 45. Chatgpt In Google Sheets for enhanced chart creation

162 Listings in AI Data Visualization Tools Available

31 . InsightBase

Best for dynamic dashboard creation

InsightBase is an AI-powered analytics platform designed to simplify business intelligence by providing deep insights into data through powerful AI analytics. It allows users to engage in conversations with their databases without needing coding or SQL knowledge, making it accessible to all team members, including those without technical backgrounds. InsightBase offers real-time data monitoring features, customizable alert triggers, and seamless integrations with tools like Slack and Airtable to enhance workflow efficiency and data analytics capabilities. The platform also provides flexible query language and a user-friendly interface, enabling users to get started quickly with a free trial that requires no credit card. Pricing plans are adjustable for small and large businesses, with options for individual projects, startups, growing businesses, and data-driven companies.

Pros
  • No-Code Database Interaction: Engage in conversations with your database using AI, no coding or SQL knowledge necessary.
  • Powerful AI Analytics: Deep insights into your business data can be obtained in seconds with AI-powered analysis.
  • Flexible Query Language: InsightBase offers a flexible query language that anyone can use, enhancing accessibility for all team members.
  • Real-Time Data Monitoring: Stay updated and informed with real-time data monitoring and customizable alert triggers.
  • Seamless Integrations: Incorporate InsightBase with tools like Slack and Airtable for a more streamlined data analysis experience.
  • No-Code Database Interaction: Engage in conversations with your database using AI no coding or SQL knowledge necessary.
  • Flexible Query Language: InsightBase offers a flexible query language that anyone can use enhancing accessibility for all team members.
  • Powerful AI-powered analytics for your business
  • Transforming Analytics: Your Edge
  • Empower your team with powerful dashboards and reports
  • Ease-of-use and time-saving features
  • Accessible to all users with no technical background
  • Flexible query language for enhanced accessibility
  • Real-time data monitoring with customizable alerts
  • Seamless integration with tools like Slack and Airtable
Cons
  • No information available
  • No specific cons or missing features of using Insightbase were mentioned in the provided documents.

32 . Novacene AI

Best for visualizing complex data patterns

NovaceneAI is a data visualization platform that leverages cutting-edge machine learning to automate the organization and analysis of unstructured data. It transforms raw text data into actionable insights at scale, benefiting various industries such as cybersecurity, market research, and mining. The platform features automated data organization, theme-based sentiment analysis, a powerful and flexible interface, and ensures data privacy and security. NovaceneAI is designed to cater to users across professional levels, from data engineers and scientists to business analysts, offering deployment options within the user's infrastructure and an air-gapped offline mode.

Pros
  • Automated Data Organization: Utilizes AI to automatically organize and clean unstructured text data improving efficiency and focus on analysis.
  • Theme-based Sentiment Analysis: Offers the ability to track sentiment related to specific themes within open-ended comments.
  • Powerful and Flexible Interface: Provides complete control for technical users with a RESTful API and intuitive interface for business analysts.
  • Privacy and Security: Ensures data privacy and security with dedicated fully encrypted environments and on-prem deployment options.
  • Industry Versatility: Accommodates various industries from cybersecurity to market research and mining for broad application of the platform.
  • Automated Data Organization: Utilizes AI to automatically organize and clean unstructured text data improving efficiency and focus on analysis
  • Theme-based Sentiment Analysis: Offers the ability to track sentiment related to specific themes within open-ended comments
  • Powerful and Flexible Interface: Provides complete control for technical users with a RESTful API and intuitive interface for business analysts
  • Privacy and Security: Ensures data privacy and security with dedicated fully encrypted environments and on-prem deployment options
  • Industry Versatility: Accommodates various industries from cybersecurity to market research and mining for broad application of the platform
  • Automated Data Organization
  • Theme-based Sentiment Analysis
  • Powerful and Flexible Interface
  • Privacy and Security
  • Industry Versatility
Cons
  • May require additional customization to meet specific organizational needs
  • No specific cons or missing features were mentioned in the document about NovaceneAI.
  • No specific cons or missing features mentioned in the documents provided.
  • No cons were identified from the provided information.
  • Integration capabilities with other tools or platforms may be limited
  • Possible challenges in handling extremely large datasets efficiently
  • Restricted industry versatility compared to competitors
  • Dependence on in-house expertise for advanced usage and customization
  • Potential limitations in theme-based sentiment analysis capabilities
  • Pricing may not justify value for money considering the available features
  • Possible lack of advanced features compared to other AI tools in the industry
  • Limited automation for data cleaning tasks
  • Manual work required for organizing unstructured data before mining for insights

33 . Jumprun AI

Best for creating interactive charts and maps

Jumprun is an intelligent canvas tool that helps users make sense of comprehensive or complex sets of data. It can connect to multiple data sources, update connections, and adapt visually to the specifics of user's data. The key purpose of Jumprun is to transform how users handle, interpret, and understand data, reducing complexity and enhancing usability. Some unique features of Jumprun include personalized user experience, data interpretation capabilities, and adaptable interface. It can be used in diverse contexts such as business, sciences, and technology, offering benefits like simplified data handling and interpretation, and keeping connected data sources updated.

Jumprun excels in data visualization, integrates with various data sources, customizes user experiences, and simplifies complex data handling and interpretation. It is not just a data integration tool but also offers insights into business intelligence, complex data analysis, and personalized user experiences based on individual data characteristics. Jumprun is expected to be fully available in early 2024, and reservation for early access can be made by providing an email address on their website.

Overall, Jumprun revolutionizes how users connect with important data by providing a dynamic, interactive, and intelligent canvas. It offers simplicity in handling data through personalized spaces called Canvases and seamlessly integrates with various data sources like websites, web searches, and social media platforms. With features like Smart Components and DIY Components, Jumprun enhances interaction with data and offers a versatile data visualization experience. It is designed to be user-friendly across different devices, offering a comprehensive solution for data engagement.

Pros
  • Connects to multiple data sources
  • Continually updates connections
  • Adaptable interface
  • Updates and retrieves data
  • Visual adaptation based on data
  • Data visualization capabilities
  • Data interpretation features
  • Personalized user experience
  • Useful in diverse contexts
  • Reduces data complexity
  • Improves data usability
  • Data integration abilities
  • Complex data analysis
  • Data connectivity functionality
  • Business intelligence capabilities
Cons
  • Could over-complicate simple data
  • Capabilities dependent on user's data
  • Unclear technical support solutions
  • Possibly high learning curve
  • Limited user interface personalization
  • Potential data source compatibility issues
  • Adaptability could introduce inconsistencies
  • May lack competing features
  • Requires reservation for usage
  • Not currently fully available

34 . vizGPT

Best for instantly visualize sales trends

VizGPT is an advanced data visualization tool that offers a unique approach to data visualization through a conversational interface. Users can interact with the AI in a conversational manner to quickly generate and understand complex visualizations without the need for syntax errors. The tool utilizes advanced Natural Language Processing (NLP) to understand user questions, making data analysis feel like having a conversation. VizGPT also features real-time responses, contextual memory to remember past queries, and a no-code GUI for data visualization, allowing users to create visualizations using both drag-and-drop and natural language interfaces.

Key Features of VizGPT:

  1. Intuitive Chat Interface: Simplifies the creation of data visualizations through conversation.
  2. Contextual Data Visualization: Generates relevant charts and graphics based on the provided data and context.
  3. "Text2Viz" Capability: Converts text-based data descriptions directly into visual charts.
  4. "Text2Chart" Functionality: Enables users to effortlessly create charts from descriptive text.
  5. Efficient Data Interpretation: Utilizes advanced algorithms for quick and reliable visualization output.

This tool aims to transform the way data is visualized by offering a seamless experience through an intuitive chat interface, allowing users to convert complex data sets into insightful visual representations simply by conversing with the chatbot. It is designed to streamline the data visualization process and empower users to make better data-driven decisions without the traditional hassle of data visualization tasks.

Pros
  • Intelligent Conversation Context
  • Analysis by Asking
  • Natural language processing
  • Real-time responses
  • Contextual Memory
  • No Code GUI for Data Visualization
  • Visualize Data with Drag-and-Drop
  • Powerful Intelligent Data Table
  • Intuitive Chat Interface
  • Contextual Data Visualization
  • Text2Viz Capability
  • Text2Chart Functionality
  • Efficient Data Interpretation
  • Intuitive Chat Interface: Simplifies the creation of data visualizations through conversation.
  • Contextual Data Visualization: Generates charts and graphics that are relevant to the provided data and context.
Cons
  • May not provide advanced data transformation capabilities
  • No mention of user feedback or reviews for the tool
  • Missing information on integration with other data sources or APIs
  • Uncertain scalability and performance of the tool
  • Lack of information on data privacy and compliance measures
  • Limited information available on missing features or drawbacks
  • No detailed cons specified in the document
  • Limited features compared to other AI data visualization tools
  • Possibly lacks customization options for visualization
  • Could have limitations in handling complex data analysis tasks
  • Limited information available in the document about specific cons of using Vizgpt
  • No specific cons or missing features mentioned in the document
  • Limited information provided: The document lacks specific cons or drawbacks of using VizGPT. It's possible that more comprehensive reviews or comparisons with other AI tools in the industry would provide insights into potential limitations.
  • Pricing is not competitive compared to other AI tools in the industry
  • No detailed information provided about security measures

35 . Chat2CSV

Best for ai-driven chart selection

Chat2Csv is a data visualization tool that simplifies the process of creating charts from CSV data without the need for complex coding. Users can interact with the tool in plain English to generate a variety of charts such as pie charts, scatter plots, line graphs, and bar charts. The platform's AI not only understands user commands but also provides suggestions on the best charts for enhancing data analysis and insights. Importantly, Chat2Csv prioritizes data security by processing only metadata on their servers while ensuring that the actual data remains on the user's side, thereby maintaining privacy and security. The platform offers a free access option with minor daily limitations and an upcoming premium plan that includes features like a personal dashboard, secure storage, chart history, and more advanced capabilities to improve the data analysis process.

Pros
  • Transform data into charts with natural language
  • No need for complicated coding or scripting
  • Helps enhance analysis and insights with chart suggestions
  • Offers a diverse range of chart types
  • Prioritizes data security by keeping actual data on the user's side
  • Streamlines data visualization tasks
  • Simple and intuitive platform
  • Loved by businesses worldwide
  • Reassuring data security measures
  • AI assistant suggests chart types for new insights
  • Simple pricing for all business sizes
  • Free access with minor limitations
  • Coming Soon - Premium Plan with enhanced features
  • Can handle CSV files of various sizes
  • No coding skills required
Cons
  • The platform may lack some advanced features compared to other AI tools in the same industry.
  • The free access has limitations such as 15 queries per hour, 1 CSV file at a time, 1MB file limit, and 5 AI prompts per file.
  • The upcoming premium plan may have a price point that some users may find unfavorable.
  • Extremely large CSV files might take longer to process on the platform.

36 . Amplitude

Best for user behavior analysis

Amplitude is a data visualization tool that offers various features and benefits for users. It provides complete and trustworthy data management, unified data across teams, and industry-specific solutions to promote growth of active users and increase customer lifetime value. The tool also accelerates monetization, provides behavioral insights, and enables data-driven decisions through tailored solutions for different sectors. Some of the features include intelligent always-on monitoring, real-time data syncing, robust data control systems, compliance with ISO 27001 and SOC 2 Type 2 for customer data protection, and automation of data cleanup and enrichment. While it offers many advantages, it does have limitations such as potential language model limitations, limited data-management capabilities, and a lack of clear pricing information among others.

Pros
  • Complete and trustworthy data
  • Unified data across teams
  • Provides industry-specific solutions
  • Promotes growth of active users
  • Increases customer lifetime value
  • Accelerates monetization
  • Provides behavioral insights
  • Offers learning and support resources
  • Features various customer use cases
  • Enables data-driven decisions
  • Tailored solutions for different sectors
  • Includes resource center and glossary
  • Community platform for peer interaction
  • Offers live and virtual events
  • Features a help center
Cons
  • Potential language model limitations
  • Only supports specific industries
  • No offline analysis capabilities
  • Tailored solutions may not fit all
  • Reliance on partner integrations
  • Requires learning resources
  • No clear pricing information
  • Limited data-management capabilities
  • No real-time analytics mentioned

37 . Grapha Ai

Best for analyzing complex datasets quickly

Grapha AI is a data visualization tool designed to help users uncover insights in their data quickly. It leverages AI technology to reveal hidden trends and patterns in data, making it easier to derive meaningful insights from complex datasets. Users can interact with the system by simply querying their area of interest, without the need for any coding skills. Grapha AI provides various types of stunning visualizations to enhance data analysis and storytelling, ensuring that users can analyze and share findings effectively. The tool allows for easy data export, data sharing, and management, with a focus on privacy and ownership control for users. Additionally, Grapha AI offers an upgrade option called Grapha Prime, which provides enhanced features such as increased limits on questions per month, extended data retention, CSV upload, Google Sheets integration, and early access to new features. Customer support is available via email, and the tool does not automatically charge for renewals, leaving the decision to renew the membership in the hands of the users.

Pros
  • Uncover insights in your data faster
  • Harness the power of AI to turn data into insights
  • AI assisted storytelling for complex datasets
  • Stunning visualizations for analysis and sharing
  • Built on proven data science practices
  • Control over data sharing and management
  • No coding skills required
  • Export clean and aggregated data easily
  • Multiple upgrade options available
  • 30-day money-back guarantee for upgrades
  • Zero unexpected charges for subscriptions
  • Privacy and ownership are paramount
Cons
  • No explicit comparison with other AI tools in the same industry provided
  • Missing detailed information on the cons or limitations of Grapha AI

38 . Marple Data

Best for real-time data insights

Marple is a data visualization tool that utilizes artificial intelligence (AI) to automatically generate plots based on prompts given by the user. It can handle complex datasets with hundreds or thousands of signals by allowing users to ask questions about what they would like to see, and Marple AI responds by creating relevant graphs. This tool can perform AI-based calculations, transforming user questions into computations that yield fast response times, surpassing the speed of Python and MATLAB. Users can investigate AI results in more detail through tight integration with advanced visualization capabilities, enabling deeper analysis of the underlying data .

Marple also offers various features such as support for different graph types like FFT, connectivity with files and InfluxDB, API and SDK integration options, and faster visualization speeds compared to traditional tools like Python and MATLAB. While Marple streamlines the process of generating graphs and performing calculations, it has limitations such as dependence on user prompts, potential constraints on analysis due to automatically generated plots, and a cost factor that might be prohibitive for small businesses .

39 . LayerNext

Best for enhancing visual data insights

LayerNext is an end-to-end AI data management platform designed for computer vision projects. It allows AI teams to efficiently collect, curate, label, and search large-scale computer vision datasets. The platform offers features such as DataLake, Annotation Studio, Dataset Manager, and built-in analytical tools. Users can visualize data, annotate images and videos, identify data gaps, and integrate with other computer vision applications through SDKs and APIs. LayerNext is self-hosted by default, ensuring data control and compliance with regulations like HIPAA and GDPR. Industries such as retail, agriculture, healthcare, and construction can benefit from using LayerNext, enhancing team productivity and collaboration through purpose-built data tools and automated workflows.

LayerNext's mission is to provide easy-to-use tools that leverage data and AI to generate optimal business outcomes. The platform allows users to gain actionable business insights without writing code, connect data sources and tools, build AI agents for tasks, and ask questions in plain English to generate insights or reports. The platform utilizes Large Language Models (LLMs) and Retrieval Automated Generation (RAG) to deliver accurate answers and enhance business productivity. LayerNext can be customized to align with unique workflows, seamlessly integrating with other AI tools while maintaining data security and regulatory compliance. Founded by a team of AI enthusiasts and software engineering experts, LayerNext envisions a future where AI enhances human capabilities, simplifying AI application creation for businesses of all sizes.

Pros
  • DataLake unified repository
  • Built-in data viewer
  • Image and video annotation
  • Large-scale dataset management
  • Version control for datasets
  • Analytic tools for training
  • Data gap identification
  • Error detection for models
  • Inclusion of SDKs and APIs
  • Seamless integration with CV applications
  • Streamlined workflow support
  • Specialized apps for processes
  • Self-hosted by default
  • Compliance with regulations
  • Compatible with various industries
Cons
  • Incurs data operation costs
  • Highly specialized for computer vision (CV)
  • Highly specialized for computer vision projects
  • Complex setup for regulations compliance
  • Requires manual data curation
  • No clear pricing information
  • Limited third-party integrations
  • Limited support for non-visual data
  • Limited SDKs and APIs
  • Highly specialized for CV
  • Self-hosted by default

40 . Chartgpt

Best for stock price movements of tech giants

Chartgpt is a data visualization tool that focuses on providing insightful visual representations of data. While specific details about Chartgpt are not available in the search results, data visualization tools like Chartgpt typically enable users to create various types of charts, graphs, and visualizations to better understand and communicate data trends and patterns. These tools often offer user-friendly interfaces and a wide range of customization options to tailor the visualizations to specific needs. Users can explore and analyze data more effectively through interactive and dynamic visual representations, enhancing data interpretation and decision-making processes.

41 . Taylor AI

Best for visualizing complex data relationships

Taylor is a modern data engine categorized under data visualization tools. It is designed to handle unstructured natural language data, similar to tools like BigQuery or Athena but specifically tailored for unstructured content. Engineers can utilize Taylor to create dynamic data pipelines, extract valuable information from messy cloud file systems, and ensure datasets remain clean and curated for use. One of its key features is the AI Toolkit, which allows users to train AI models for text data classification during ingestion, enabling functions like text embedding and classification directly within the data pipeline. Taylor simplifies the structuring of data by understanding user messages and sentiments, leading to actionable insights such as purchase propensity.

Pros
  • Dynamic Data Pipelines: Adapts to daily data requirement changes.
  • AI-Driven Classification: Automates the structuring of unstructured data.
  • Customizable Data Extraction: Offers tools to create specific data classifiers.
  • Integration-Friendly: Seamlessly works with cloud services like S3.
  • User-Centric Insights: Determines user propensity to buy from natural language inputs.
Cons
  • No specific cons mentioned in the provided documents.
  • Missing information on limitations or downsides of using Taylor

42 . Shape.xyz

Best for performance metrics dashboard

Shape.xyz is an AI tool designed for data exploration and analysis, allowing users to efficiently obtain quick answers to complex data questions within seconds. Shape supports various types of queries such as new subscriptions, average app usage hours, and performance comparisons between different types of content, providing insights into various aspects like top countries for AI course demand and user team size distribution. The tool's AI engine is capable of interpreting questions accurately, offering nuanced answers beyond raw numbers, and continuously improving its performance over time. Shape integrates with platforms like Slack, provides options to double-check results with human analysts, and offers data visualizations through automatically generated charts, prioritizing accuracy and security for data analysis.

Pricing

Paid plans start at $49/month and include:

  • AI data analyst
  • Ad-hoc queries answered
  • AI analyses your data
  • 2 users included
  • Additional users $24.95/pm
  • Slackbot
Pros
  • AI data analyst
  • Ad-hoc queries answered
  • AI analyses your data
  • Unlimited users
  • Slackbot integration
  • Microsoft Teams bot integration
  • White glove onboarding
  • Continuous improvement through user interactions
  • Smart interpretation of results
  • Best-in-class accuracy for data analysis
  • Industry-standard encryption for credential storage
  • SOC 2 Type 1 certification
  • Easy data exploration, understanding, and visualization
  • Fast access to answers through Slackbot
  • Option to double-check results with human analysts
Cons
  • No specific cons were mentioned in the document.
  • No specific cons mentioned in the document.

43 . Vizzy

Best for visualizing complex public health trends

Vizzy is an AI-powered data visualization tool that can rapidly visualize various types of data, including public health information, geographic data, legislative changes, and media scripts like television shows. Users can connect to OpenAI using an API token to access a suite of AI tools provided by OpenAI. Vizzy allows for collaboration on public projects, supports data file uploads, and offers private project options. While usage costs are generally low, users are responsible for any charges incurred during usage, which typically amount to less than $1 per project. Vizzy does not store OpenAI API tokens and the success rate of visualizing data is 77.3%.

Pros
  • Rapid data visualization
  • Versatile data type compatibility
  • Allows collaboration on projects
  • Gallery of sample projects
  • Tracks legislative changes
  • Analyzes obesity rates geographically
  • Media script analysis capabilities
  • Supports data file upload
  • Public sharing of all projects
  • Private project options
  • Open source contribution via GitHub
  • User responsible for usage costs
  • Option to set spending limits
  • Broad application spectrum
  • Ability to visualize geographic data
Cons
  • Requires data file upload
  • User solely covers charges
  • Prominently public projects
  • Limited private project options
  • No own key storage
  • Users' data publicly accessible
  • Not self-hosting friendly
  • Depends on user behavior
  • Charges potentially due to bugs

44 . Seek AI

Best for dynamic data dashboards

Seek AI is a conversational artificial intelligence tool designed for data analysis. It enables users to ask questions in natural language, eliminating the need for in-depth knowledge of traditional data analysis tools. Seek AI caters to business end-users by providing immediate responses to queries through an interface that integrates with popular messaging applications like Slack and Teams. One of its key features is an automated natural language model capable of understanding complex and context-specific questions. Additionally, Seek AI includes features such as a code editor, knowledge base, data warehouse integrations, and more, aiming to streamline the data analysis process.

The tool is compatible with popular messaging and data platforms, and its natural language interface makes data interaction more intuitive and accessible. Seek AI does not require expert knowledge to operate and is designed for users to engage in regular conversation rather than specialized tasks. Other than data analysis, Seek AI offers a code editor, knowledge base, and data warehouse integrations, storing user queries to avoid repetition in the future. Additionally, Seek AI does not store personal information and ensures a non-intrusive user experience by using a single cookie to remember user preferences.

Pros
  • Conversational interface
  • Integration with messaging platforms
  • Understanding complex queries
  • Knowledge base for recurring questions
  • Includes code editor
  • Data warehouse integrations
  • Non-intrusive
  • Real-time data insights
  • Top model on Yale Spider benchmark
  • Secure data barriers
  • Regularly updated
  • Compatible with popular data products
  • #1 model Yale Spider benchmark
  • Generates database queries
  • Natural language interface
Cons
  • Relies on stored data
  • Uses cookies
  • Lack of customization options
  • May have interface learning curve
  • Limited flexibility with data analytics
  • Complex setup process
  • Time lag in updates

45 . Chatgpt In Google Sheets

Best for enhanced chart creation

ChatGPT in Google Sheets is a feature offered by Two Minute Reports, a Cloud Reporting Software that integrates ChatGPT's advanced AI capabilities within Google Sheets. This integration allows users to enhance data analysis and reporting efficiency by leveraging ChatGPT versions 3 and 4 directly in Google Sheets. By utilizing over 75 integrations, including popular platforms like Facebook Ads, Google Analytics 4, and Google Ads, users can easily create custom dashboards, actionable insights, and reports. Two Minute Reports simplifies the process of consolidating data from various sources, saving time and streamlining the reporting process. With features like automated insights, streamlined reporting, extensive integrations, easy-to-use templates, and educational resources, Two Minute Reports equipped with ChatGPT in Google Sheets caters to a wide range of marketing and analytics needs .