10 Best Business Intelligence Tools for Startups in 2022

best Business Intelligence Tools

We live in a dynamic world that is continually evolving every day so are the businesses. Businesses that refuse to outgrow their traditional business method will fall behind with time. Those businesses should incorporate business intelligence in their companies to keep up with the market fluidity.

Every fresh startup should consider using the best Business Intelligence Tools with the commencement. BI tools assist startup teams in collecting data, processing them, and generating real-time intelligence [information]. Businesses can use intelligence to make data-driven choices in real-time.

Assembling and processing data with the best business intelligence tools make it easier for startups and established corporations to forecast growth, opportunities, barriers, revenues, investment sectors, and learn about customers.

BI tools help businesses to stay a step ahead to predict and act upon the situations based on the information generated and analyze the outcome beforehand.

Selecting the best business intelligence tools is important, and investing in a less relevant tool is a waste of time and money. After all, you will completely rely on the generated information to analyze and make decisions on the present and future.

We explored and reviewed many BI software [tools] and have compiled a list of:

The 10 best business intelligence tools for startups in 2022.

  1. Looker
  2. Google Analytics
  3. MicroStrategy
  4. Klipfolio
  5. Zoho Analytics
  6. SAP Analytics Cloud
  7. Qlik Sense
  8. Power BI
  9. Dundas BI
  10. Sisense

1.     Looker

Looker is a BI software that utilizes the SQL approach to operate on the data to produce meaningful information. Looker facilitates Startup Analytics created to help fresh startups.

The data analytics forum streamlines collecting and processing data within a database or a warehouse. It facilitates even non-technical employees to carry out SQL-based queries on their own.


Some Key Features:

  • Automated Modeling
  • Intuitive Visualization
  • Time Zone Handling
  • LookML Data Modeling Language
  • Pre-Built Analytics Code

Looker is a web-based analytics solution that uses an organization’s local database and keeps them updated using real-time updates to the dashboard and other visualizations.

2.     Google Analytics

[Google] Analytics is an important tool used by startups. It helps businesses measure analytic goals, reach, website traffic, impressions, flow visualization, and generate a custom report.

Analytics provides you with basic yet relevant and meaningful metrics you should work upon to grow your business at its reach towards targeted audiences. It provides users with various information and suggestions on content, traffic sources, consumption, and content engagement.

It provides users with high-quality dashboards which is customizable based on the needed parameters. Google Analytics is a very useful tool by Google for free, and it is a must-have BI tool for startups and established businesses.

Google Analytics

Some Key Features:

  • Custom Reports
  • Flow Visualization
  • Audience Report
  • Tracking Goals
  • Campaign Measurement
  • Advertising Workspace
  • Data Collection and management
  • Integrations
  • Built-In Automations

Google Analytics will help you track your progress in real-time and assist you in understanding the scenarios through interactive and customizable dashboards. It is one of the best business intelligence tools for startups since it is free and easy to use.

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3.   MicroStrategy

MicroStrategy is a data analytics forum that supplies actionable intelligence to businesses of all sizes. Users [Teams] can customize data visualization and assemble personalized dashboards in real-time.

It leverages machine learning, data connectivity, and mobile pass to facilitate startup business [teams] extensive authority over their insights. It has a simple structure that users can learn within a few sessions and is infamous for its scalability feature.

Businesses have the flexibility to deploy cloud, on-premise, or hybrid deployments to meet their business needs.


Some Key Features:

  • Data preparation
  • Data Connectivity
  • Federated Analytics
  • Data Visualization
  • Hyper intelligence
  • Machine Learning
  • Embedded Analytics
  • Web and Mobile Apps
  • Enterprise Semantic Graph
  • Digital Credentials

Startups and established businesses can maximize their business insights to get a precise view of the data that reveal efficiency and deficiency. The user-friendly interface helps users easily navigate through [insights], which accelerates performance on every level.

4.     Klipfolio

It is a powerful analytic tool that facilitates interesting features for a low fee. It empowers teams to visualize, process, analyze, and generate information to track business trends.

It has emphatic data querying abilities that help users leverage strong data models and visualization libraries to construct impactful dashboards.

It facilitates users’ creation and sharing of information via URLs, PDFs, emails, and snapshots to reinforce decision-making processes.

The most important thing is that it is affordable for startup businesses and can generate a good ROI considering the value for money.


Some Key Features:

  • Data Connectivity
  • Social Media Insight
  • Automated Data Retrieval
  • Data Visualization
  • Search Function
  • Pre-build and Customizable Dashboards
  • Targets and Indicators
  • Data History with PowerMetrics
  • Data Merging
  • Self-service interactivity

Klipfolio is a cloud and web-based BI software [tool] that presents KPI monitoring, data and tool integration, and dashboard customization capabilities to power data-driven analysis and decision making.

5.     Zoho Analytics

Zoho Analytics [formerly known as Zoho Reports] facilitates businesses to perform an in-depth analysis using inbuilt features like functions and formulae to identify business metrics and forecast future outcomes.

It allows seamless integration of its analytics capabilities into other solutions like CRMs, and ERP tools for continuous user experience across platforms.

Users can create informative visualization and dashboards to present data and information via an easy self-service model.

zoho analytics

Some Key Features:

  • Geo Visualization
  • Drag and drop Terminal
  • Mobile Support
  • Data Alerts
  • Auto Joined Data
  • Data Connectors
  • White Labeling
  • Report Scheduling
  • Ask Zia

Zoho Analytics allows users to crunch tremendous datasets, process, analyze, and visualize the results in dynamic graphics to cover insights. It provides on-premise and cloud deployment opportunities as a choice.

6.     SAP Analytics Cloud

An augmented analytics platform uses ML technologies to facilitate data visualization and forge predictive scenarios. It grants access to every associate in the organization to automatic and interactive insights.

Artificial Intelligence [AI] and Machine Learning [ML] play a prominent role in devising data-driven suggestions for the business. The software explores historical data to generate possibilities that help users with decision-making.

SAP Cloud Analytics

It is has been proving itself as one of the best business intelligence tools with a try and buy feature, which you can subscribe to at a very affordable monthly cost.

Some Key Features:

  • Data Preparation
  • Chat With Data
  • Instant Data Visualization
  • Predictive Forecasting
  • What-If Analysis
  • Highlight KPIs
  • Analyze Anomalies
  • Hybrid Analytics
  • Built-in Collaboration
  • Mobile App

The platform has affluent graphics libraries and a range of templates for report exhibition of business metrics. It is versatile and scalable, with frequent updates from the vendor for up-to-date business.

7.     Qlik Sense

Qlik Sense is a self-service data analytics tool that uses artificial intelligence to better data-driven decision-making. It facilitates users with a drag-and-drop feature to create spontaneous and persuasive dashboards for data visualization.

It offers two [2] versions: The business and the enterprise versions. Enterprise offers multiple deployment models like hosted SaaS public [cloud] or multi-cloud, private cloud, and on-premise. In contrast, the business comes with a free desktop version for personal use and other subscription models.

Qlik Sense

Some Key Features:

  • Multi-Node Architecture
  • Data Connectivity
  • In-Memory Storage
  • Data Mining
  • Self-Service Data Preparation
  • Interactive Dashboards
  • Shared Insights
  • Predictive Analysis
  • Streaming Analytics
  • Built-in Data Alerts

Qlik Sense is a powerful cloud-based BI tool that performs insightful analytics. It leverages machine learning to collect and generate reports for an awesome customer analytics experience.

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8.     Power BI

Microsoft Power BI provides two classes of business intelligence platforms: Power BI Pro and Premium. Pro is a cloud-based platform that is easy and convenient for everyone.

Small or startup businesses can benefit from the model as it costs less than $10 a month. In contrast, Premium is the enterprise version that is considered expensive.

It facilitates users with self-service analytics where they can share and collaborate via interactive data visualization. You do not have to worry about your data and information as Microsoft ensures security and compliance.

The tool allows you to work with smart features to discover significant insights and, at the same time, stream your insights [analytics] in real-time.

Microsoft Power BI

Some Key Features:

  • Data Source Connectivity
  • Data Preparation
  • Data Visualization
  • Pre-Built or Custom Dashboard/Reports
  • Natural Language Processing
  • Secure Data Governance
  • Collaboration
  • Embedded Analytics
  • Seamless Integration
  • Mobile Compatibility

Seamless integration with Microsoft is a huge advantage to businesses as data synchronization automatically facilitates secure and quick sharing.

9.     Dundas BI

Dundas BI [Business Intelligence] is a robust browser-based analytics software [tool] that facilitates users with interactive dashboards to customize their visualization, mine down into data, and build reports. It encapsulates a responsive design that is flexible and scalable.

It allows users to integrate data from sources of various ranges in real-time. Users can utilize drag-and-drop features with built-in formulae to generate a wide range of reports and share them for [data-driven] decision-making.

Dundas BI

Some Key features:

  • Visualization Recommendations
  • Advanced Interactivity
  • API Support
  • Report Types
  • Integrations
  • HTML5 Foundations

It is a robust BI that uses impactful visualization to provide users with business-related insights in real-time. It is a web-based BI tool that is mobile-optimized that enables users to interactivity from anywhere with a stable connection. It is one of the best business intelligence tools available in the market at a considerable price.

10.  Sisense

It uses embeddable and scalable architecture to make data discovery and analytics available and accessible to the customers. It facilitates blending a large set of data into a single united DB using in-chip technology.

Users with limited skills can easily create interactive dashboards with meaningful visualizations and reports to share [data-driven] decision-making insights.

It helps you keep your data secured, deliver analysis quickly, uncover actionable insights, promote collaborations, and scale to meet your business needs.


Some Key features:

  • In-Chip Analytics
  • Data Connectivity
  • Data Blending
  • Data Visualization
  • Interactive Dashboard
  • Real-Time Insights
  • Natural Language Processing
  • Mobile BI
  • R Integrations
  • Augmented Intelligence

Sisense is an end-to-end data analytics [forum] software that offers BI tools to help users with minimal technical knowledge and understanding.

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Many BI tools can assist you with your startups and established businesses. You should consider your business needs and correlate them with the features of selected best business intelligence tools and pick the ideal one that meets the requirements.

The tools listed above are suited for startups, and they cost comparatively less than others available in the market.

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