15 AI-based services that simplify data work
A few years ago, data analytics required knowledge of SQL and Python and involvement of specialized professionals. Today, it’s enough to upload a file and ask a question in natural language. According to IBM, data specialists can spend up to 80% of their working time preparing information, while modern AI tools allow automating a significant portion of routine analytics. We’ve gathered useful services for you that help work with data without writing a single line of code.
Julius AI
Julius AI works as a personal analytics assistant in a chat format. Users upload a CSV, Excel file, or connect Google Sheets, then ask questions in plain language—for example, requesting to see top-selling products, build sales trends, or find anomalies in the data. The service performs calculations automatically, selects the appropriate type of visualization, and explains the results.
ThoughtSpot
ThoughtSpot was one of the pioneers of search analytics. Instead of creating complex reports, users simply enter a query into the search bar, like in Google, and receive a ready-made interactive dashboard. The built-in AI assistant, Spotter, understands the context of queries, while the SpotIQ module automatically finds anomalies and generates insights.
BlazeSQL
BlazeSQL allows users to ask questions in natural language and automatically translates them into SQL queries, which it then executes directly in the database. The platform supports popular data warehouses and places special emphasis on privacy, as user data is stored locally.
Microsoft Power BI + Copilot
Power BI remains one of the standards for corporate business intelligence. Thanks to Copilot, users can create reports and dashboards through text queries. The solution is deeply integrated with Microsoft 365, Teams, Excel, and other services in the ecosystem.
Tableau + Einstein AI
Tableau is known for its extensive data visualization capabilities. Integration with Einstein AI allows for automatic insight discovery, explanation of anomaly causes, and selection of the most suitable ways to present information.
Google Looker Studio
Google Looker Studio is one of the few fully functional BI tools available for free. The platform allows connecting hundreds of data sources and automatically creating interactive reports and dashboards.
Zoho Analytics
Zoho Analytics offers a built-in AI assistant, Zia, which can answer questions via text and voice, identify trends, and build forecasts. The platform integrates with CRM systems and supports a large number of external connectors.
Polymer
Polymer helps turn ordinary tables into interactive dashboards. The platform is particularly popular among marketing teams due to its integrations with Google Analytics, Facebook Ads, and Shopify.
Akkio
Akkio specializes in predictive analytics. Users simply need to upload data and select a target metric, after which the service automatically builds a predictive model and shows the key factors influencing the result.
Powerdrill
Powerdrill not only analyzes data but also automatically converts results into presentation slides. The service supports working with Excel, CSV, and PDF files and helps quickly prepare materials for presentations and meetings.
DataRobot
DataRobot automates the creation and deployment of machine learning models. The platform automatically tests various algorithms and helps apply predictive models to business tasks—from risk assessment to demand forecasting.
RapidMiner
RapidMiner offers a visual interface for building analytics processes and machine learning models without programming. Users can assemble complex processes from ready-made blocks using a drag-and-drop interface.
Amazon SageMaker Canvas
Amazon SageMaker Canvas allows building machine learning models without code and integrates with other AWS cloud services. The platform is suitable for time series forecasting, data classification, and other tasks.
Dataiku
Dataiku covers the entire data workflow—from data preparation to creating and deploying AI solutions. The platform combines no-code tools and developer capabilities within a single workspace.
KNIME
KNIME is one of the most popular open-source platforms for data analytics and machine learning. Users create workflows from ready-made visual blocks, automate repetitive tasks, and perform complex analysis without writing code.
How to choose
For first-time exposure to AI analytics: Julius AI or Google Looker Studio
For work within the Microsoft ecosystem: Power BI + Copilot
For forecasting and predictive analytics: Akkio or DataRobot
For marketing dashboards: Polymer
For large companies with complex requirements: ThoughtSpot or Dataiku
For those seeking a completely free solution: KNIME.
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