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TH Thailand

/ Power BI for Thailand · delivered from our Singapore office on Thai hours

Power BI for Thailand, warehouse included.

Dashboards on a modelled warehouse, not spreadsheet exports, delivered from our Singapore office on Thai working hours (UTC+7), with calls and demos on Bangkok time.

2,500+Projects delivered
10+Offices, Singapore nearest
1,000+Engineers
95%Client retention

/ The BI practice

What a real reporting platform includes.

Business intelligence is the dashboard, the model beneath it and the pipeline that feeds it, run as one governed system rather than a folder of reports and a monthly export.

Dashboards

Dashboards leaders open

Governed dashboards for sales, operations and finance, designed so the Monday trading meeting runs off one screen rather than four spreadsheets that disagree.

Modelling

One version of the truth

Semantic models with row level security put every team on the same definitions, so two departments stop bringing two different revenue figures to the same meeting.

Pipelines

ETL that feeds itself

SSIS and Azure Data Factory pipelines pull point of sale, CRM, ERP and marketing data into one clean warehouse on a refresh schedule the business can trust.

Modernisation

Legacy packages, rebuilt

Ageing SSIS jobs and hand run exports become monitored pipelines with data quality checks, so month end stops depending on one person’s laptop and one person’s memory.

Strategy

Data strategy before licences

A short plan for sources, ownership and the numbers that matter, agreed with your team before a single licence or day of build is paid for.

Forecasting

Forecasts, not just history

Predictive models on top of the warehouse turn trading history into demand, revenue and risk forecasts, with an alert the moment a metric moves out of range.

Embedded

BI inside your systems

Reports embedded in the portals and apps your teams already use, so the number reaches the decision instead of waiting in a workspace nobody opens.

Enablement

Your analysts take over

Documentation, training and refresh monitoring hand the platform to your own analysts, with our engineers behind them on Bangkok hours.

A few of the 2,000+ brands Brainvire has delivered for worldwide

McAfeeRev-A-ShelfNikeTridelPAN HomeAmerican LightingBay Alarm MedicalCenomi RetailOCuSOFTEntrepreneurLarsonAmerican Tire Depot

/ Proof from our global case studies

Business intelligence outcomes, on the record.

Regional programmes first, delivered from Singapore; global work from the same bench follows.

None of them is a Power BI build. Microsoft credentials for this market are on our Microsoft partner page for Thailand, the Power Platform side is on Power Apps in Thailand, and the wider record is on our Thailand case studies page.

/ What we build

Eight things a BI team has to cover.

One accountable team covers dashboards, semantic models, pipelines, cubes, warehousing, data strategy, forecasting and embedded reporting. Buying four of those from four suppliers is how reporting projects stall.

/01

Power BI Dashboards & Reports

Interactive, governed dashboards and paginated reports your leadership actually opens, iterated in sessions on Bangkok hours until the numbers are right.

AI forecasting & Q&A
/02

Data Modelling & Semantic Layer

Semantic models and row level security, so every report answers from the same definitions and finance stops re keying the board pack.

AI data classification
/03

ETL & SSIS Modernisation

Pipelines that pull point of sale, CRM, ERP and marketing data into one clean warehouse, and ageing SSIS packages rebuilt into monitored jobs.

AI data-quality & reconciliation
/04

SSAS Cubes & OLAP

Multidimensional and tabular models for fast, sliceable analysis, with measures and hierarchies your own analysts can extend without us.

AI-assisted model design
/05

Data Warehousing

Warehouse architecture on SQL Server and Microsoft Fabric, sized to what your data actually is rather than to a licence tier.

AI schema & partition tuning
/06

Data Strategy & Governance

Sources, ownership, definitions and access mapped before the build, so the platform earns trust on its first refresh rather than losing it.

Data roadmap
/07

Predictive Analytics

Forecasting, segmentation and scoring on top of the warehouse, turning trading history into decisions for the quarter ahead.

AI forecasting & propensity models
/08

Embedded & Mobile BI

Reporting embedded in your own apps and portals, including Thai and English labelling, so the number travels with the team.

AI anomaly alerts on the go

/ How we deliver

How a rollout runs from discovery.

Source systems to a governed dashboard on a predictable path: one named owner, a working report at every stage, and every ceremony inside Bangkok office hours.

01020304
Step 01

Discovery & Data Audit

We agree the handful of numbers that matter, audit every source system that feeds them, and settle the Personal Data Protection Act and residency questions before any build.

Step 02

Warehouse & Model

The warehouse and semantic model go up, with pipelines built and tested against your live sources rather than against a sample extract that behaves.

Step 03

Dashboards & Rollout

Reports iterate in sessions you attend until the numbers match what finance signs off, then roll out with row level security so each team sees only its own.

Step 04

Govern & Improve

Refresh monitoring, usage tracking and training hand the platform to your analysts, with our engineers behind them and the pipeline itself run by our DevOps practice for Thailand.

/ The BI stack

What the reporting runs on.

Power BI, SSIS, SSAS and SQL Server, with Microsoft Fabric and Azure data services, placed in the region your own policy requires.

Power BI

Interactive dashboards, paginated reports and natural language questions, built by a Microsoft Solutions Partner with 14+ years on the Microsoft stack.

SSIS & Data Factory

Pipelines that pull point of sale, CRM, ERP and marketing data into one clean warehouse, with quality checks and reconciliation as the data moves.

SSAS Cubes & OLAP

Multidimensional and tabular models for fast, sliceable analysis, with measures and hierarchies your analysts can extend themselves.

SQL Server & Fabric

Warehouse architecture on SQL Server and Microsoft Fabric for reporting at scale, on one engineering standard rather than four team habits.

Azure Data Services

Secure pipelines, storage and compute on Azure, in a Thailand region where it exists and the nearest regional one otherwise.

AI on the BI Stack

Forecasting, anomaly detection and written summaries on top of the stack, so a report answers the question instead of raising four more. That work runs through our AI practice.

/ Accelerators

Accelerators, so week one is not week zero.

Semantic models, pipeline patterns and data quality tooling from earlier programmes arrive packaged, so your first governed dashboards stand up in weeks rather than in a fiscal year.

Reporting
4 to 8weeks to a live dashboard suite

Power BI & SSRS Accelerator

A semantic model and dashboard library stood up on your own data, with natural language questions and written summaries from the first release.

Time to value · 4 to 8 weeksSee the playbook →
Warehouse
6 to 10weeks to a governed warehouse

Data Warehouse & SSIS Accelerator

A governed warehouse with reusable pipeline patterns and data quality checks running against your own source systems, not a sample.

Time to value · 6 to 10 weeksSee the playbook →

/ In their words

In our clients’ own words.

Brainvire demonstrated reliability, a commitment to delivery, and helped us maintain momentum on critical roadmap items.

Read more client reviews →

/ On the record

Mr. Jameson Chow
Mr. Jameson ChowManager, Food Bank
Brainvire configured our system with minimal customisations and delivered in a very short timeframe, saving us time and cost.
Verified on Clutch
Joey Raymond
Joey RaymondDigital Development Manager
Brainvire has been invaluable, on budget and very responsive. They’d bend over backwards to help us in every way they can.
Verified on Clutch
Mr. Kevin Clor
Mr. Kevin ClorCIO, Tent and Table
Brainvire has helped our business grow, it feels like a true partnership. Seven great years, and we’re looking forward to more.
Verified on Clutch
Brandon San Antonio
Brandon San AntonioCOO, Matrix Warranty Solutions
We’ve worked with Brainvire for six years. They’re task-oriented and great at turning projects around in an expedited fashion.
Verified on Clutch
Adrianna Nava
Adrianna NavaFounder
Brainvire built a really good plan for my business, brought consistency, and took a lot off my hands. I can’t say enough good things.
Verified on Clutch
Shalin Shah
Shalin ShahDirector of IT
Brainvire is a real partner, very different from other outsourcing companies. They’ve mastered communication and delivery.
Verified on Clutch
Wayne Carlyle
Wayne CarlyleOwner
The Brainvire team has lived up to every commitment. They gave us a part-naming convention that lets us configure our product line.
Verified on Clutch
Bruno Binet
Bruno BinetManaging Director
Brainvire’s response is always fast, and their delivery has been quick and elevating. I really recommend their services.
Verified on Clutch

/ Recognition

Recognition, on the record.

Financial Times2025

Financial Times

The Americas' Fastest-Growing Companies

Inc. Regionals2025

Inc. Regionals

Fastest-growing private companies in America

Deloitte Technology Fast 5002024

Deloitte Technology Fast 500

North America's fastest-growing tech companies

Clutch Global2024

Clutch Global

Top B2B service provider, global rankings

As covered byClutchGoodFirmsGartner Peer InsightsG2Financial Times

/ Working with us from Thailand

How the numbers get signed off.

Brainvire has no office in Thailand. Delivery is remote, from ten or more offices, and we would rather write that here than imply a Bangkok address we do not hold.

Hours

Walkthroughs inside your working day

Indochina Time gives a full working day of overlap with our delivery centres. Definitions, thresholds and access rules are argued out with your team live, because a reporting project fails on the day two people disagree about what revenue means and nobody writes the answer down. Your named delivery owner is reachable inside your own hours.

Residency

Where the warehouse actually sits

The warehouse, the pipelines and the Power BI capacity are three separate placement decisions, and buyers usually only ask about the first. Each is put in a Thailand region where your provider runs one and the nearest regional one otherwise, and the architecture note names all three so a risk review reads one document.

PDPA

Personal data inside a dashboard

A sales report with a customer name in it is personal data, and row level security is not a lawful basis on its own. We record why each personal field is in the model during discovery, drop the ones the report does not need, and set retention on the warehouse tables rather than leaving history to accumulate forever because storage is cheap. Dataset region, row-level security and retention documented for Thailand PDPA (B.E. 2562).

Sources

Fed by the systems you already run

Dashboards draw from the ERP, commerce and marketing systems your business already operates, which for many of our clients means Odoo or Adobe Commerce. Where a workflow app has to sit alongside the reporting, that runs through our Power Apps practice for Thailand. Thai and English field labels are handled in the model, not left to whoever opens the report.

/ Questions, answered

Questions Thai buyers ask first.

Do you deliver Power BI consulting in Thailand?

Yes, remotely. Brainvire has offices in the United States, the United Arab Emirates, Singapore and India, with 1,000+ engineers behind them, and no office in Thailand. Indochina Time overlaps a full working day with our delivery centres, so dashboard walkthroughs and sign off happen inside your own office hours rather than landing in your inbox overnight. If you want people in a room in Bangkok for a definitions workshop, say so at scoping and we will plan the travel rather than pretend it is not travel.

Have you built Power BI for a Thai company?

No. The nearest engagement to Thailand is a Singapore one: a Singapore based ecommerce retailer carrying over 13,000 products from 400 brands, for whom we do custom Power BI report development on an extract, load and transform framework. We announced that engagement rather than published a results case study, and no outcome figures have been released, so this page claims none for it and does not show it as a results card. The proof band on this page is drawn from our global case studies instead, and the delivered work we can show numbers for is in the United States.

How long does a first dashboard suite take?

Four to eight weeks is the working range for our Power BI accelerator, which stands up a semantic model and a dashboard library on your data. The date is set in discovery, and what moves it is almost never the reporting. It is the state of the source systems and whether your teams already agree on what a metric means. Where they do not, agreeing that is the first deliverable, and it is worth the fortnight it takes.

Can you modernise the SSIS packages we already have?

Yes, and it is routine work for a team with 14+ years on the Microsoft stack. Ageing SSIS packages and hand run exports are rebuilt into monitored pipelines on SSIS or Azure Data Factory, with data quality checks and reconciliation added as the data moves. The test we hold ourselves to is simple: after handover, month end should not depend on one person being at their desk.

Where will our data and reports be hosted?

Wherever your policy requires, written down before the build starts. Azure lets you pin the warehouse, the pipelines and the Power BI capacity separately, and we use a Thailand region where Microsoft offers one for the service in question and the nearest regional one otherwise. You get an architecture note naming the region for each of those three, because they are three decisions and most requests for proposal only ask about one.

What does the Personal Data Protection Act mean for reporting?

It applies to the warehouse as much as to the application that fed it. A customer name, a phone number or a national ID sitting in a fact table is personal data, and copying it into a reporting layer does not change that. During discovery we record why each personal field is in the model, remove the ones no report needs, apply row level security where a team must only see its own records, and set a retention period on the tables that hold history.

Do we need a data warehouse before Power BI pays off?

Not always, and we will say so. A first dashboard suite can run directly against your existing databases and exports, and for a single source system that is often the right way to prove value quickly. A warehouse earns its place when volume, history depth or the number of source systems makes direct connections fragile and slow. Discovery tells you which side of that line you are on, and we would rather you spent the money once.

Are you a Microsoft partner?

Brainvire is a Microsoft Solutions Partner with 14+ years on the Microsoft stack, covering Power BI, SQL Server, SSIS, SSAS, Fabric and Azure. Some older case pages on this site still carry the phrase Microsoft Gold Partner, a tier Microsoft retired in 2022. Solutions Partner is the current designation and the one to hold us to. Related Microsoft work for this market sits on our Power Apps page for Thailand.

Do you work in Thai?

We work in English. Calls, documentation and support for Thailand are delivered in English by our Singapore team.

/ Next step

Decide what the first dashboard shows.

Thirty minutes with a Brainvire business intelligence consultant, booked on Bangkok hours. You leave with the sources, the model and a timeline for your first governed dashboards on one page.

Get your Power BI rollout scoped →