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https://catalogartifact.azureedge.net/publicartifacts/simform.data360_aipoweredcustomerdataplatform-4a9dbbbe-8b05-4e8c-aacf-3cb7fc6e982e/image1_SimformProfilePicture216x216.png

Data360 – AI-Powered Customer Data Platform

by Simform LLC

Unify customer data with Data360's AI-powered analytics platform for actionable insights.

Data360 is an AI-powered Customer Data Platform that helps enterprises unify customer information from commerce, CRM, operational, database, and digital systems into a single analytics environment. Using a composable data architecture, it supports automated ingestion through Meltano-powered extractors and connectivity across e-commerce, CRM, databases, development, project-management, and cloud storage platforms. Data360 delivers Customer 360 analytics by combining purchase history, customer attributes, behaviour, engagement and transactions into unified customer profiles. Organizations can apply RFM analysis, automated customer classification, funnel analysis, retention tracking, purchase analytics, and behavioural segmentation to understand customer value and engagement. The platform also includes an AI-powered analytics experience through Azure OpenAI, business users to ask questions about customer data using natural language, translate them into database queries, and receive visual or tabular insights.This enables faster data exploration and reduce reliance on technical teams. Data360 helps organizations improve retention, increase customer lifetime value, identify cross-sell and upsell opportunities, optimize products, understand customer journeys, and establish a unified source of customer intelligence.
Offer Deliverables:
1. Unified Customer Data Platform: Cloud-native Customer Data Platform that consolidates customer information from multiple enterprise into a unified data and analytics environment
2. Multi-Source Data Integration Framework: Reusable data connectivity for commerce, CRM, database, development, project- management, and cloud-storage systems. The documented platform supports sources including Shopify, Magento, PostgreSQL, HubSpot, GitHub, Bitbucket, ClickUp, and S3-based files.
3. Automated Data Ingestion and Transformation: Automated extraction using Meltano-powered pipelines together with dbt- based transformation workflows that convert raw source information into structured, business-ready analytical models.
4. High-Performance Customer Analytics Foundation: ClickHouse-based analytical processing designed for customer intelligence and high-volume analytical workloads, combined with relational data services.

5. Customer 360 Profile and Behavioral Intelligence: Comprehensive customer profiles combining purchase history, behavioral information, demographics, category preferences, activity patterns, and other customer attributes into a unified Customer 360 view.

6. Customer Segmentation and RFM Analytics: Customer segmentation using demographic, behavioral, and purchase information, together with Recency, Frequency, and Monetary analysis and automated customer classifications such as loyal, frequent, and budget-oriented customer segments.

7. Retention, Funnel, and Purchase Analytics: Business intelligence capabilities for customer retention and cohort analysis, conversion funnel tracking, Average Order Value comparisons, product performance analysis, purchase behavior, high-risk customer identification, and time-to-reorder analysis.

8. AI-Powered Natural Language Data Exploration: An Azure OpenAI-powered database assistant that translates natural-language questions into SQL and returning visual or tabular insights.

9. Predictive Customer and Revenue Intelligence: Analytical capabilities for identifying behavioral patterns and supporting predictive insights such as time-to-reorder and customer lifetime value calculations, helping organizations identify retention, growth, and value opportunities.

10.Product and Commercial Performance Analytics: Unified analysis of sales, returns, customer behavior, product performance, and engagement information to identify high- performing products, high-return items, low-conversion products, inventory opportunities, and areas for commercial optimization.

11.Multi-Tenant Enterprise Data Isolation: Tenant-specific data and configuration separation to support multiple organizational environments while maintaining isolation between customer datasets.

12.Azure-Ready Cloud Deployment Foundation: Containerized and infrastructure-as-code-enabled platform designed for Azure using Flask-based backend services, Docker containerization, Terraform, ClickHouse, PostgreSQL/MySQL, and a React-based user experience.

At a glance

https://catalogartifact.azureedge.net/publicartifacts/simform.data360_aipoweredcustomerdataplatform-4a9dbbbe-8b05-4e8c-aacf-3cb7fc6e982e/image5_4.png
https://catalogartifact.azureedge.net/publicartifacts/simform.data360_aipoweredcustomerdataplatform-4a9dbbbe-8b05-4e8c-aacf-3cb7fc6e982e/image7_2.png
https://catalogartifact.azureedge.net/publicartifacts/simform.data360_aipoweredcustomerdataplatform-4a9dbbbe-8b05-4e8c-aacf-3cb7fc6e982e/image3_3.png
https://catalogartifact.azureedge.net/publicartifacts/simform.data360_aipoweredcustomerdataplatform-4a9dbbbe-8b05-4e8c-aacf-3cb7fc6e982e/image4_Data360onepager.png
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