The Top 9 AI Reporting Tools in 2024

The days of using only Excel to generate reports are over. AI reporting tools simplify the process of generating reports while enhancing capabilities for visualization, collaboration, and analysis. There are many options for these tools on the market, and it can be hard to know which one suits your needs. To simplify the process of finding the right solution, we’re reviewing the top 9 AI reporting tools for 2024. 

The benefits of AI reporting software

Building reports is often a critical yet time-consuming process. You may find yourself spending so much time pulling and integrating data from disparate sources that you have little time to actually analyze the data and draw insights. This is where AI reporting comes in handy and can make a big difference. 

These reporting tools lean on AI to automate data analysis through machine learning, natural language processing (NLP), and advanced data processing techniques. Combining these technologies can help glean, visualize, and display insights from even the most massive volumes of data. AI for reports is often used by business users and data scientists to uncover data trends, predict future outcomes, and create narratives around data. 

Here are some of the top benefits provided by these tools:

• Data integration: Most organizations have data housed in multiple formats and locations. It is tedious and sometimes impossible to integrate all of this data into one convenient location for analysis. AI reporting tools pull data from multiple sources, such as databases and spreadsheets, into one location for a unified view. 
• Data processing: On a similar note, AI reporting tools are useful for processing datasets. They can clean the data and prepare it for analysis. 
• Data analysis: Why spend time trying to pinpoint trends and uncover patterns when you can use AI for reports? Thanks to machine learning, AI reporting tools can make even the most complex of data analysis a breeze. 

• Automated reporting: As you might have imagined, one of the biggest benefits of these tools is that they automate the reporting process. You can generate reports as needed through templates on predefined timing and customize them as well. 

• Visualization: It can be tricky to parse and understand data when it’s confined to cells in a spreadsheet. Visualization helps people make sense of data and draw conclusions from it. AI reporting tools can be used to create eye-catching, engaging dashboards with charts, graphs, and maps. 
• Collaboration: Share reports with clients, dashboards with executive team members, and work on projects across departments with AI reporting tools. Depending on the tool, you may be able to edit, make suggestions, and comment in real time. 
• Real-time reporting: Through integrations, you can gather and update data analysis in real time. Reporting stays current with the help of live feeds. No need to manually update!

• NLP: Add the power of storytelling to your data through NLP. NLP allows AI for reports to generate summaries and narratives, making it easier for users to understand. It also allows you to query and search data to find information more efficiently. 

• Multiple applications: AI for reports isn’t only for data wizards to enjoy. From finance to operations, just about every organizational function can benefit from the simplicity and insights AI reporting tools bring to the table. 

• Data-driven decision-making: Want to foster a culture of data analysis in your organization? You can make it easier to do by bringing data together in a convenient location with visualizations. It’s easier to spark new ideas and identify areas for optimization. 

• Increased productivity: Enjoy more time to work on value-added activities as you hand the more nitty-gritty aspects of reporting over to AI-based tools. 

The top 9 AI reporting tools 

Now that you know just what AI reporting tools can do, let’s review the 9 picks for 2024. Below, you’ll find an overview of each tool’s purpose as well as its pros and cons.  

1. Domo

Domo’s AI reporting tool makes even the most complex reports simple. One of the key features of the tool is its self-service analytics. This capability allows you to access data points as needed instead of having to wait for someone to generate reports. It also includes intuitive visualizations and dashboards so you can paint a clear picture of analytics for better understanding. 

Pros:

• Highly customizable
• Augmented analytics
• Attractive, intuitive visualizations with 150+ chart types and 7,000+ custom maps
• Easy-to-generate dashboards
• Free account available
• 1,000+ pre-built and on-premises connectors so you can easily connect data
• Built-in chat app for easy collaboration across teams 
• Real-time alerts and push notifications
• Native apps for iOS and Android
• Capability to export visualization and raw data across multiple formats (e.g., CSV, XLS, PDF, and PPT)
• Added layer of security to meet security requirements and maintain data integrity

Cons:

• Steep potential learning curve
• Processing time may be slower with extremely large datasets

2. Fireflies

Taking notes during meetings can be a painful, tedious experience. Keeping track of key ideas, next steps, and dependencies is never easy when you’re also trying to contribute to the conversation. Fireflies uses AI to modernize the notetaking experience by recording, transcribing, and summarizing meetings. This information is then used to derive insights and analytics into trends.

Pros:

• Automatic generation of meeting transcripts in 60+ languages
• 90% accuracy
• Includes time stamps and speaker labels
• Integration with 40+ tools such as CRM, video conferencing, and project management apps
• Creates a searchable knowledge base of conversations
• Includes over 10 useful metrics such as sentiment, silence duration, average talk time, talk-to-listen ratio, and more
• Includes a chatbot, AskFred, which uses GPT-4 to answer questions about the call and generate related content
• Includes free account and a seven-day business account trial
• SOC 2 Type 2, HIPAA, and GDPR-compliant

Cons:

• Lacks video recording
• Free version maxes out at 3,000 minutes
• Can be slow to transcribe longer meetings

3. Qlik

Qlik’s mission is to make enterprise data more valuable and actionable. The business analytics platform leverages machine learning, predictive analytics, and generative AI to close the gap between data and action. 

Pros:

• Includes AI assistant that works in 10 languages for ad hoc analyses
• Can connect and integrate data from nearly countless applications and other sources
• User-friendly interface
• Delivers augmented analytics
• Can create customized reports
• Reports don’t require codes and can be distributed in formats such as PPT, PDF, and Excel
• 30-day free trial available

Cons:

• Difficult to create what-if scenarios
• No free account offering beyond the trial
• Some users say it’s not mobile-friendly

4. Zoho

Zoho Analytics provides a self-service business intelligence platform with analytics software. You can create data visualizations and dashboards to connect, integrate, and analyze data. Its smart AI assistant allows you to augment analysis further to generate automated insights, predict trends, perform what-if analysis, and more. 

Pros:

• Can connect data from 250+ sources such as databases, files, web URLs, and apps. 
• Easy sharing and collaboration on reports and dashboards
• Predictive, conversational, and what-if analytics available
• Includes geo-visualizations
• Can integrate with CRM platforms, ERP systems, etc. 
• Includes scalable columnar database technology
• 15-day free trial

Cons:

• Per-person subscription cost
• No free membership available
• Some users say the mobile app version is lacking

5. Akkio

Akkio is an AI data platform built for agencies and their clients. It includes AI-powered analytics and a predictive engine. One of its main usages is to improve pitches by agencies to prospective clients. It can be used to identify opportunities for leads, predict future outcomes through historical data, and optimize KPIs to improve client performance. 

Pros:

• Designed for the specific needs of agencies
• Easy forecasting with live data
• Customizable reports and charts with the option to add a custom URL and logo
• Integrates directly with data sources
• Transforms, formats, and repairs data
• Automatic machine learning capabilities 
• No-code solution

Cons:

• No free account option
• May struggle to manage large, complex datasets
• Limitations on the number of models and predictions users can create

6. Polymer

Polymer captures data into clear visualizations for analysis and collaboration. You can easily connect multiple data sources and build your dashboard in minutes without needing to code. The dashboards update automatically, with no manual configuration required. Polymer includes out-of-the-box analytics and suggested insights through AI with 20 visualization types. 

Pros:

• Solutions for ecommerce, enterprise, agencies, and marketing teams
• Easy-to-use dashboard creator
• 20 data visualization types
• Easy to share insights
• Multiple dashboard templates
• Free 14-day trial
• Embedded analytics to analyze data in current workflows
• Conversational AI through PolyAI so users can ask questions about data and get answers

Cons:

• May lack capabilities for complex data analysis
• Newer tool, so not as many reviews available

7. Tableau

As a visual analytics platform, Tableau’s mission is to help people easily explore and manage data to discover and share transformative insights. It is designed to be used by everyone from students to data scientists. Tableau AI uses generative AI to simplify insights, accelerate time-to-value, and reduce manual, repetitive tasks associated with data analysis. 

Pros:

• Includes an AI assistant, Einstein Copilot for Tableau, to guide users through data exploration and associated best practices. 
• Einstein Trust Layer meets enterprise data security and compliance requirements. 
• Augmented analytics capabilities
• Interactive dashboards
• AI-driven statistical modeling
• Can create data stories to add automated, plain-language explanations to dashboards in seconds

Cons:

• Expensive, per-user pricing
• Breadth of capabilities can be overwhelming

8. Sisense

Sisense is a business intelligence software platform. Its goal is to convert data into revenue through AI-powered analytics. There are options for professional code, low code, and no-code use cases. It includes predefined dashboards, auto-generated analytics, and predictive and prescriptive capabilities as well as self-service experiences. 

Pros:

• Scalable, modular setup
• Integration of customized analytics into apps and products
• Multiple use cases for code
• Data storytelling and forecasting capabilities
• Multiple deployment options

Cons:

• Largely inactive user community
• Learning curve can be steep for advanced features
• Pricing information unavailable without a live demo

9. Storydoc

Users can create engagement-ready decks with Storydoc. The tool is often used for marketing collateral, sales decks, corporate reports, and investment updates. It includes business-ready templates for easy use and AI for fast generation of deliverables. You can connect your CRM, calendar, and other tools directly into Storydoc. 

Pros:

• Many use cases for business users
• Attractive interface
• Intuitive workflows
• Large library of templates
• Easy way to “level up” presentations

Cons:

• Some reviews comment on pro plan’s lack of CNAME and CRM integrations
• May not have advanced enough features for data scientists and analysts

As the landscape of reporting evolves, AI tools are stepping in to transform how organizations harness and communicate their data. By leveraging these advanced tools, businesses can streamline their reporting workflows, empower teams to make data-driven decisions, and ultimately unlock new levels of productivity and insight. Choosing the right AI reporting tool can significantly impact your organization’s ability to thrive in today’s data-driven world, enabling you to stay ahead of the competition while turning complex data into clear, actionable narratives. Learn more with Domo.