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Shooju

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Serving customers since
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Shooju

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Shooju is a comprehensive data management platform designed to streamline the consolidation, storage, analysis, and visualization of diverse data sources. It enables organizations to integrate external subscriptions, public datasets, and internal data into a unified system, enhancing data accessibility and operational efficiency. Key Features and Functionality: - Data Consolidation: Integrates various data sources, including external subscriptions, public datasets, and internal data, into a single platform. - Storage Module: Supports high-frequency time series data storage, capable of reading and writing millions of data points per second. Additionally, it accommodates document and object-based data, such as infrastructure details, geographical information, and media files. - Processor Module: Collects data from any source, integrating it according to specific methodologies and business rules, simplifying data collection from complex sources. - Analysis Module: Incorporates Python-powered analysis tools, including numerical, scientific, and machine learning libraries, allowing for complex analyses within the platform. It also offers a simplified Expressions language for ease of use. - Views Module: Provides customizable data visualization options, enabling users to create tailored interfaces for data manipulation and visualization. The platform is optimized for rapid visualization of large time series datasets. - Integrations Module: Offers native integration with various analytical tools, including Excel and Python, facilitating seamless data import and export without the need for complex queries or connection strings. Primary Value and Solutions: Shooju addresses the challenges of managing disparate data sources by providing a unified platform that simplifies data integration, storage, analysis, and visualization. This consolidation enhances operational efficiency, reduces the total cost of operation, and empowers organizations to derive actionable insights from their data. Tailored solutions include: - SJPLOT: An innovative plotting tool that combines pandas with a time series database, revolutionizing data visualization with dynamic capabilities. - Public and Governmental Data Analysis: Facilitates the identification, monitoring, and integration of public and governmental data, such as legislative proposals and tax incentives, from multiple sources within a single platform. - Forecasting and Import Analysis: Utilizes advanced data analysis and AI to transform public information into actionable insights, aiding in forecasting and import analysis. By offering these solutions, Shooju empowers organizations to manage their data effortlessly and friction-free, enabling them to focus on strategic decision-making and growth.

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HQ Location:
Houston, TX, US

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Shooju delivers tailored data pipelines and custom data analytics for energy firms — making data reliable, clean and fast for analytics and trading.

Since 2012, Shooju has delivered tailored data pipelines and custom data analytics for Fortune 500 energy firms — combining a powerful proprietary Data Management Platform with an expert energy data engineering team and 24/7 support. Our platform covers the full data lifecycle — from dataflow and storage to custom analytics and visualization — reducing engineering load and providing flexible, reliable, analysis-ready data. Shooju’s core offering, Managed Energy Data Pipelines (or ETL-as-a-managed-service), focuses on the reliable and rapid delivery of data tailored to each client’s needs, tools, and workflows. It unifies internal and external sources, applies client-specific logic and enrichment, and delivers clean, AI-ready, analysis-ready data outputs.

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Year Founded
2018