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Hoosh AnalyticsHoosh analytics

Data Analysis and Reporting System with Artificial Intelligence

Hoosh Analytics transforms your business data into actionable reports and analyses. From predefined reports to custom analyses in natural language.

Data Analysis with Artificial Intelligence

About the application

General description

Data exists in many businesses, but turning it into usable insights remains challenging. Reports are scattered, defining them is time-consuming, and deep analysis often requires experts. Hoosh Analytics is designed to bridge this gap. Hoosh Analytics connects to your services and data sources, integrates data, and enables analysis, reporting, and querying. Users can create standard reports, define custom reports, or even get their desired analysis by writing a text query. Artificial intelligence in this system acts as a data analyst and interpreter.

Benefits

Why Hoosh Analytics?

  • 1

    Converting raw data into actionable insights

    Data is directly transformed into answers and decisions.

  • 2

    Reducing dependency on specialized analysis teams

    Managers and teams can perform analysis themselves.

  • 3

    High flexibility in defining reports

    Reports are not limited to predefined templates.

  • 4

    Deep analysis without technical complexity

    Query in simple language, analysis with advanced logic.

  • 5

    Integrated view of the business

    Data from various sources is analyzed together.

  • 6

    Faster and more accurate decision-making

    The time between question and answer is minimized.

Features

What features does Hoosh Analytics offer?

Hoosh Analytics is designed for businesses that want to ask questions from their data and get precise answers. This platform transforms data analysis from a specialized and time-consuming task into an accessible and intelligent process. Artificial intelligence in Hoosh Analytics acts as a data analyst; it helps data to be seen, understood, and turned into decisions.

  • Seamless integration with business data sources

    Data analysis from various sources in a single system.

  • Predefined and standard reports

    Quick access to common business reports.

  • Custom report definition

    Precise report design based on specific needs.

  • Analysis and reporting with text Prompt

    Asking questions from data in natural language.

  • Intelligent analysis and data interpretation with AI

    Beyond numbers; analysis and explanation.

  • Continuous monitoring and analytical alerts

    Detecting important changes at the right time.

Seamless integration with business data sources

Hoosh Analytics can connect to various services, databases, and business tools. Once connected, data can be analyzed seamlessly without the need for manual data transfer. Example: Sales, marketing, and support data are analyzed together to create a more comprehensive picture of business performance.

Predefined and standard reports

The system provides a set of standard reports such as growth trends, periodic performance, key indicators, and time comparisons. These reports are ready to use without complex configurations.

Custom report definition

Users can define custom reports; specify which data, with what filters, and over what period to analyze. These reports can be saved, edited, and reused. Example: A manager wants to review the performance of a specific product in a particular geographic area only.

Analysis and reporting with text Prompt

Instead of creating complex reports, users can write their requests in text form. The system analyzes the data and presents the results as numerical and explanatory reports. Example: "Which sales channel has had the highest profit growth in the last three months and why?"

Intelligent analysis and data interpretation with AI

Artificial intelligence identifies important patterns, anomalies, and trends and explains them in an understandable way. These analyses help managers understand the reasons behind changes, not just see the results.

Continuous monitoring and analytical alerts

The system can detect unusual or significant changes in data and send alerts; such as a sudden drop in an indicator or unexpected growth in a sector.

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