Daasity

Daasity Overview

Overview

Guides:

Platform Overview

Understanding Daasity:

Daasity is a data and analytics platform built specifically for consumer brands to centralize, analyze, and activate their data. Designed to support e-commerce, retail, and omnichannel operations, Daasity automates the process of consolidating information from hundreds of data sources into a unified model that powers analytics, reporting, and marketing activation.

The platform follows an ELTVO (Extract, Load, Transform, Visualize, and Optimize) architecture and leverages cloud technologies such as AWS and Snowflake. This structure allows brands to efficiently collect, standardize, and visualize data while maintaining scalability and performance as business needs evolve.

Key Features:

  • Data Integration: Connects to over 380 data sources, including Shopify, Amazon, Facebook, Google Ads, and Salesforce, to automatically extract data for analysis.
  • Data Transformation: Normalizes and unifies disparate data sets into a consistent model that reflects key business metrics and relationships.
  • Analytics and Reporting: Provides interactive dashboards, automated reports, and advanced analytics tools tailored to marketing, finance, merchandising, and operations teams.
  • Data Activation: Enables data to be pushed directly back into marketing platforms for more accurate targeting, personalization, and campaign optimization.

Use Cases

Marketing Optimization:

Improve audience segmentation and targeting by activating unified customer data directly into advertising and email platforms.

Performance Reporting:

Consolidate e-commerce, marketing, and retail performance data to deliver automated executive and departmental reports.

Operational Efficiency:

Align inventory, logistics, and sales data to forecast demand, manage supply chains, and optimize product availability.

Financial Analysis:

Track profitability and spend across channels with unified metrics for revenue, margins, and customer acquisition costs.

Strategic Growth:

Support investor reporting, business planning, and market expansion through accurate, data-driven insights.