Enterprise Data Lake Service
Turn scattered data
into actionable intelligence
An enterprise data lake built on Microsoft Azure Fabric — ingest from every system, auto-cleanse, generate reports with a single Copilot prompt, and build AI applications on top. All in one place.
Plenty of data — but never the right data when you need it
Most enterprises don't lack data — their data is scattered across systems, inconsistently formatted, and nobody can agree which version is correct.
Data Scattered Across Systems
Products in one platform, sales in CRM, marketing in another — nobody can see the complete customer journey.
No Single Source of Truth
Two departments define the same customer and the same metric differently — meetings start with arguments about whose numbers are right.
Manual Excel Data Stitching
Reports rely on manual exports and copy-pasting — by the time they're done, they're already outdated.
Reports Stuck in a Queue
A simple question requires waiting days for the data team to schedule and produce a report.
This is not a tooling problem. It is a data foundation problem.
From raw files to a queryable database — all low-code
Using Azure Fabric's Data Factory and Dataflows Gen2, raw data from multiple sources is collected, cleansed, and layered into Bronze / Silver / Gold tiers — producing a central data lake that business users can self-serve query.
From messy raw data to AI-generated charts in one prompt
On the left are raw enterprise data sources scattered across systems in inconsistent formats. Click "Start Integration" to watch them auto-cleansed, ingested into the central data lake, then ask AI to generate a report in one sentence.
Unified
OneLake consolidates multi-cloud, multi-system data into a single copy in open Delta-Parquet format — no copying, no locking.
Trusted
Enterprise-grade permissions, data lineage, and security governance — consolidate all company data into one lake while keeping it controlled and auditable.
AI-ready
Direct Lake enables near-real-time dashboards without imports or scheduled refreshes. Well-prepared data is what makes Copilot accurate.
Microsoft sells the tools — Aiii builds the foundation and grows the AI
Even Microsoft says Copilot accuracy depends on data pre-processing — and the work of cleansing, building semantic models, and operationalizing governance is exactly what Aiii does.
Pharma-Grade Compliance Governance
We serve more than half of the world's top 100 pharma companies. We apply healthcare-level data compliance and governance standards to general enterprises — giving you far more assurance than you thought you needed.
Proprietary Models × High Compute
Built on NVIDIA H100-grade compute with proprietary fine-tuned models and best-in-class LLMs. Deployable on Azure Fabric or flexibly combined — never locked to a single vendor.
From Cleansing to AI Applications
Not just data ingestion — we have real deployment track records for natural language querying, vector search, RAG, and other AI applications built on the data lake.
We Deliver Results, Not Software
We deliver a decision-ready data foundation plus AI applications that actually run — not a software license you have to figure out yourself.
One data engine — not just for retail
The same pharma-grade data integration and governance capabilities are deployed across multiple industries. Click each to see: scattered data → AI applications grown on the data lake.
Retail / E-Commerce
Where Data Is Scattered
- POS store transactions
- E-commerce and membership systems
- Customer service conversation logs
- Inventory and logistics
AI Applications on the Lake
- Customer 360 & intelligent segmentation
- Campaign performance and marketing automation
- Replenishment / fulfillment AI recommendations
- Real-time revenue dashboards
Healthcare / Clinics
Where Data Is Scattered
- Appointment scheduling and medical records
- Lab results and follow-up records
- Patient education and tracking
- Operations and scheduling
AI Applications on the Lake
- Unified patient data profile
- Follow-up / patient education tracking
- Operations dashboard
- Natural language querying
Medical Aesthetics Clinics
Where Data Is Scattered
- Client and consultation records
- Treatment and appointment logs
- Marketing and advertising
- Satisfaction feedback
AI Applications on the Lake
- Customer 360 & re-marketing
- Treatment outcome tracking
- Satisfaction analysis
- Return visit / churn early warning
Dental Clinics
Where Data Is Scattered
- Patient and treatment records
- Imaging data
- Appointments and follow-ups
- Consumables and inventory
AI Applications on the Lake
- Unified patient data profile
- Imaging / posture AI assistance
- Follow-up management
- Operations dashboard
Pharma Companies
Where Data Is Scattered
- PAP / PSP patient support programs
- HCP engagement data
- Drug usage and pharmacovigilance
- Regulatory and audit records
AI Applications on the Lake
- Compliant conversation data integration
- Patient support program effectiveness analysis
- HCP engagement insights
- Auditable data governance
And manufacturing and beyond — one core engine, deployed across many industries.
On top of the data lake, these AI applications can grow
Once data is centralized, clean, and trusted, each of these applications can be built one by one — no more separate data silos.
Conversational Data Queries
Ask questions in plain language — automatically translated into queries, answered, and charted. No waiting for an analyst to write SQL.
Customer 360 / Segmentation
Assemble a complete customer profile from data scattered across systems, enabling precise segmentation and re-marketing.
Marketing & Automation
Sync audience lists to marketing automation in one click, with real-time campaign feedback for continuous optimization.
Demand Forecasting / Replenishment AI
Use historical data to forecast demand and recommend replenishment and fulfillment, reducing stockouts and dead inventory.
Real-Time BI Dashboards
Every department self-serves real-time metrics — one set of numbers for the whole company, no more waiting in the report queue.
And More
Anomaly / fraud detection, embedded analytics, secure data sharing — continuously expanding by industry.
One natural-language sentence to produce a precise audience list
What used to require an analyst to write SQL and wait days can now be done with a single natural-language sentence. See how AI breaks down your words into structured query filters, then retrieves audience lists and segments from the data lake.
A solid data foundation delivers measurable ROI
The figures below are from Microsoft official customer stories and are publicly sourced. Actual results depend on each company's data conditions.
About the Data Lake Service
How is a Data Lake different from a traditional data warehouse?
Do I need to know how to code?
Is it safe to consolidate all company data into one lake? Where does the data reside?
Why choose Aiii instead of buying Microsoft Fabric directly?
How quickly can we see results?
Want to know what your data could become?
Leave your contact information. In one free consultation, we'll assess your data landscape and identify the fastest path to impact.
Schedule a Free Consultation →Contact US
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Email｜[email protected]
- Phone｜02-55687660