5 Best Business Intelligence Tools

What is Business Intelligence System

Connect Facebook Lead Ads to CRM, Email, SMS & Spreadsheets

Use SaveLeads to connect Facebook to different apps. Over 120+ ready-made integrations available now

• Automate the work with leads from the Facebook advertising account
• Empower with integrations and instant transfer of leads
• Don't spend money on developers or integrators
• Save time by automating routine tasks

Test the work of the service for free right now and start saving up to 30% of the time! Try it

Sign Up

• Data mining. Cleaning unstructured big data sets, identifying trends in them, creating, testing, and using models for analysis.
• Data preparation. Collecting information from several sources, assessing its volume, quality, and other parameters for further analysis.
• Performance measurement and benchmarking. Comparing current performance data with historical data using interactive and customizable dashboards.
• Descriptive analysis. Performing a preliminary analysis of data and compiling a report based on the collected and processed information.
• Statistical analysis. Processing the results of descriptive analysis using statistical tools to identify trends.
• Queries. Preparing and sending dataset-specific queries to obtain relevant answers.
• Data visualization. Transformation of prepared data into graphs, charts, histograms, and other visual formats for more convenient work with them.
• Reporting. Preparing reports for clients and other stakeholders based on the analysis performed.

Microsoft Power BI

• The platform provides a wide range of tools for consolidating, organizing, visualizing, and analyzing large data from different sources.
• Users can create highly customizable dashboards and reports of several types and share information with customers and partners.
• The tool supports a number of data visualization formats: comparison (histograms, line and area charts), correlation (scatter charts), distribution (grouped columns, bubble charts), ranking (ribbons, funnels, decomposition trees), and others.
• The SDK provided by the system allows you to create custom visualization formats based on JS libraries (D3, jQuery): Gantt charts, line gauges, slices, radar charts, and more.
• Microsoft Power BI accepts data from many sources: Excel Workbook, text/CSV, JSON, PDF, XML, databases (MySQL, PostgreSQL), data warehouses (SAP Business Warehouse Server, Snowflake, Google BigQuery, Redshift), Microsoft Power Platform, and Microsoft Azure services.
• The platform contains over 300 ready-made data connectors and allows you to connect custom connectors via API.

• Free (within a free Microsoft Fabric account).
• Pro – $10 per month per user.
  
• Premium – $20 per month per user.
  
• Embedded – the cost is calculated individually and is provided upon request.
  

Domo

• The platform is aimed at medium-sized businesses and corporations that need a universal BI solution. It is most in demand in the areas of financial services, marketing, sales, and technology development.
• Users can import data from a variety of sources via over 1,000 ready-made connectors. The Workbench function provides import of local data in various formats (XML, ODBC, Excel, etc.), including big data.
• The system allows you to conveniently store information of any type and format in the cloud storage. The query mechanism provides a quick search for the necessary information, as well as integration with the local storage.
• The Magic ETL tool is designed to clean, transform and consolidate data in several ways (ETL, DataFusion, and DataFlows).
• Domo allows you to create custom dashboards and collections to organize and analyze data, as well as generate reports on a range of parameters (KPIs, roles, departments, etc.).
• The Card Builder feature helps you visualize data in the form of charts, graphs, and other visual diagrams (with over 150 formats in total) through a simple drag-and-drop interface.
• The Predictive Analytics module allows you to create predictive models using other platform tools for data cleaning, analysis, and profiling.

• Free Trial (30-day trial plan).
• Standard.
  
• Enterprise.
  
• Business Critical.
  

Tableau

• The platform contains a set of functions for independent processing and analysis of data, along with its scaling, automation, cataloging, and operationalization.
• The presence of virtual connections allows companies and organizations to use the system as a central access point to various data sources.
• Built-in AI technologies help create personalized forecasts and insights based on available data. Users can communicate with them through a conversational interface, sending requests and receiving responses.
• Tableau is considered one of the best business intelligence software options because it easily integrates with various third-party systems: cloud applications, databases, spreadsheets, BI systems, AI tools, and more.
• The platform flexibly connects to any data, regardless of where and in what state it is. The Tableau Prep Builder module provides high-quality data preparation, accelerating its combination, formation, and cleaning.
• Automatically generated interactive dashboards in real time provide a variety of visualization options for effective data exploration.
• The Tableau Mobile app helps users easily and quickly find and use any content uploaded to the platform servers online or offline. In addition, it supports a number of authentication methods: SAML, OpenID Connect, Mutual SSL, MDM with AppConfig, MAM, and so on.

• Viewer – $15 per user per month.
• Explorer – $42 per user per month.
  
• Creator – $75 per user per month.
  

• Enterprise Viewer – $35 per user per month.
• Enterprise Explorer – $70 per user per month.
  
• Enterprise Creator – $115 per user per month.
  

Zoho Analytics

• The visual designer helps you quickly and easily create ETL pipelines for adding, consolidating, and transforming data. You can connect custom transformers via Code Studio, monitor, manage, and coordinate pipelines.
• Automodeling allows you to automatically identify data and determine its types, and create your own data sets. In addition, it provides suggestions for their consolidation.
• The data preparation studio provides capabilities for modeling, cleaning, transforming, enriching, and cataloging data. For these purposes, it offers over 250 no-code data functions, including a number of AI tools.
• Cataloging tools help flexibly organize data by category, quality, readiness, custom tags, and other criteria. The built-in AI assistant Zia simplifies and accelerates system-wide metadata search.
• The platform supports over 50 data visualization options, including charts, widgets, summary, and table views. AI algorithms provide recommendations on choosing the optimal visualization format.
• The AI report and dashboard generator performs intelligent analysis of data and models, and then automatically generates reports and dashboards based on the processed information.
• Predictive analytics tools use univariate and multivariate models to analyze trends and make forecasts. They can be used to effectively visualize KPIs and other metrics over a given period of time.

• Basic (2 users, 0.5 million rows) – €24 per month.
• Standard (5 users, 1 million rows) – €48 per month.
• Premium (15 users, 5 million rows) – €115 per month.
• Enterprise (50 users, 50 million rows) – €455 per month.
• Custom – the cost is calculated individually and is provided upon request.

Sisense

• Built-in analytics technologies increase data processing speed and reduce the load on system resources, optimizing performance without overloading the infrastructure.
• The data blending feature consolidates data from multiple disparate sources into a unified, centralized view, making complex analysis and decision-making easier.
• Sisense collects and processes information in various types and formats using more than 400 connectors. In addition, it provides seamless integration with local storage.
• Users can embed individual widgets or entire dashboards directly into third-party applications or services, such as customer portals or CRMs, allowing for flexible integration of analytics into key workflows.
• The platform monitors data and sends real-time notifications about changes or anomalies found in it. Thanks to this, companies are able to quickly track KPIs and make decisions based on up-to-date information.

Bottom Line