Introduction

This document details the core functionalities and capabilities of Reactor Data, an enterprise-grade ETL platform. It explains how Reactor Data streamlines data management by providing tools for data ingestion, standardization, transformation, and export, ultimately empowering organizations to gain valuable insights and improve decision-making.

Core Functionalities of Reactor Data

Reactor Data is designed to unify data across various systems, functions, and sources, providing enhanced control, improved analytics, and a deeper understanding of data.   

Reactor Data empowers users to:

• Integrate data across siloed platforms: Reactor connects and consolidates data from disparate sources, eliminating data silos and creating a unified view of business information.
• Normalize inconsistent schemas and naming conventions: The platform standardizes data by resolving inconsistencies in schemas and naming conventions, ensuring data uniformity and accuracy
  
• Build unified, common outputs like customer, order, and campaign views: Reactor enables the creation of comprehensive and unified outputs (e.g. tables and fields) for key business entities, such as customers, orders, and marketing campaigns, even when the sources are different.  
• Output clean, modeled data: Reactor Data transforms and prepares data for various downstream applications, including reporting, machine learning, and data activation.  
• Automate transformation and data mapping: Reactor Data leverages AI to automate data transformation and mapping processes, improving efficiency and reducing manual effort.  

Key Processes Facilitated by Reactor Data

Reactor Data simplifies and enhances several key data management processes:

Data Ingestion and Connection

• • Reactor Data gathers data from various sources, including SaaS platforms, cloud services, and backend systems, using pre-built connectors.
  • Reactor facilitates efficient data ingestion, enabling users to connect to data sources and import the necessary data.

Data Transformation and Modeling

• • Reactor's robust mapping engine allows users to harmonize data from multiple sources, ensuring consistency and accuracy.
  • The platform enables the creation of unified data models, defining essential data entities (tables, fields, computations, and derived attributes) and relationships to maximize the value of data.

Data Standardization and Enrichment

• • Reactor Data standardizes data formats and resolves inconsistencies, ensuring data quality and reliability.
  • The platform provides tools to validate and enrich data, identifying and addressing missing, incomplete, or incorrect information.

Data Export and Delivery

• • Reactor Data facilitates the export of transformed and modeled data to data warehouses and other destinations.
  • The platform ensures that data is delivered in a format suitable for downstream applications, enabling seamless integration with existing systems.

By providing these capabilities, Reactor Data empowers organizations to take control of their data, optimize operations and marketing efforts, and ultimately, enhance the customer experience.