DigTable Data Gathering and Modeling Platform
Gather data, store it, and build AI-friendly data models before asking.
DigTable is built for AI analytics. It gathers enterprise data from business systems, platform data, files, and raw tables, then turns it into reusable ODS, DWD, DWS, and ADS layers so AskTable and business agents can understand, query, and reuse metrics consistently.
From Gather Data to Build Data, then Ask Data.
Gather Data
Collect data from databases, business systems, spreadsheets, platforms, and public sources into the enterprise data environment.
Store Data
Store, update, and manage gathered data as traceable and reusable enterprise data assets.
Build Data
Transform raw ODS data into DWD, DWS, and ADS models shaped around business questions.
Ask Data
Serve AI-friendly models to AskTable, business skills, and agents for Q&A, reports, and automation.
Why model data? Because AI needs data it can understand.
Raw operational tables are records for systems, not always the best interface for AI analytics. DigTable turns them into business entities, metrics, dimensions, and scenario tables so queries are shorter and answers stay consistent.
Keep raw business data
Sync raw orders, members, products, inventory, ads, leads, and other source tables with traceability.
Clean into detailed facts
Normalize fields, statuses, timestamps, and keys into analyzable business facts.
Create themed summaries
Aggregate common metrics and dimensions around products, channels, members, stores, and cities.
Serve AI scenarios
Build AI-friendly tables for daily operations reports, ad optimization, member engagement, and inventory monitoring.
DigTable prepares data in a form AI can use reliably.
Multi-source gathering
Connect databases, warehouses, ERP / CRM, files, business platforms, and public data.
Unified storage
Turn scattered data into managed assets for modeling, refresh, lineage, and permissions.
AI-friendly modeling
Build fact tables, dimension tables, metric tables, and scenario tables around business questions.
Reusable metrics
Capture GMV, ROI, margin, repurchase, conversion, and other definitions for AskTable.
Implementation co-creation
Let data teams, implementation teams, and business data operators define models together instead of relying only on scripts.
Agent-ready service
Support agents that generate reports, outreach plans, alerts, and business recommendations on stable models.
DigTable and AskTable form one complete path.
DigTable makes data gatherable, storable, and modelable. AskTable makes it askable, explainable, governed, and callable by agents.
Choose a business scenario
Start with a high-value question such as ad ROI, member outreach, inventory alerts, or daily operations reports.
Build the data model
Transform related raw tables into AI-friendly scenario models and capture metric definitions.
Serve AskTable
Let people and agents ask, report, automate, and improve within permission boundaries.