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TutorialsPoint
tutorialspoint.com › business-intelligence › business-intelligence-architecture.htm
Business Intelligence - Architecture
Business Intelligence (BI) architecture is essentially the proper arrangement of all the components in a BI solution designed to meet the unique needs of a business or organization. When we talk about an architectural diagram in BI it is like a map that visually shows all the parts of a BI solution
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TechTarget
techtarget.com › searchbusinessanalytics › definition › business-intelligence-architecture
What is Business Intelligence Architecture (BI Architecture)? | Definition from TechTarget
The underlying BI architecture is a key element in the execution of a successful business intelligence program that uses data analysis and reporting to help an organization track business performance, optimize business processes, identify new revenue opportunities, improve strategic planning and make more informed business decisions.
Discussions

Looking for guidance on how to implement a business intelligence architecture in my company

My immediate thought is that the challenge you've taken on is immense, and you're going to need in house support for the non-technical stuff as much or more so than the technical part. Getting the right people engaged and on board will prevent this challenge from going from tough to impossible.
The people part: based on what you've shared, the areas you're going to need support and help in are:

  • Sponsor from someone in leadership. Everyone wants a shiny dashboard, no one wants to pay or wait for it. You *need* someone who calls the shots to champion this project, both to get key decisions made that have to come from the top AND to go to bat for you when people realize that a BI platform doesn't materialize from thin air.

  • Contracts and/or Budgeting specialist to take on the budgeting of licenses and keep track of Microsoft's ever-changing cost approach. This should help to inform decisions like whether to use AWS or Azure. From a purely technical perspective, I prefer the latter--I simply find it easier to maintain everything on the same Microsoft stack since the tools overlap so well.

    • This isn't a one-and-done kind of thing--Microsoft seems to change its mind constantly on how they want to package and charge things. Don't try to do this by yourself on top of working through all the technical stuff or your brain will explode.

  • Coordinator -- you're new to this company, which puts you at a disadvantage because so much of figuring out what a BI platform should have is actually about figuring out who the key players are and getting them to explain what the business needs are so you can help to solve them (when you can.) It's lots and lots of meetings and listening and making many notes on sometimes conflicting information--you're going to need some kind of very organized and connected person to help you coordinate and get in front of the right people.

  • Security-- depending on how complex and layered the access rights are, you're going to need help with figuring out the security logic. Is there someone in your IT team who does security and maintains things like azure active directory? Could they be commandeered to help with analyzing or at least providing feedback on how you're tackling security?

These don't all have to be full-time roles by any means, but they would fill in the gaps in your knowledge set and free you to work on the technical part, which is going to be a substantial amount of work all on it's own. You probably want to hire at least one more person with strong Power BI skills to work underneath you.

Once you've compiled your BI strike team, lock yourselves in a room for a couple days and map out who the key players are, how much it will cost, how long it will take, what the key times are that your development time frame should take into account, and who needs to sign off on whatever plan you guys came up with. There are too many intersections between people, money and tech here for you to figure this out on your own.

Hire consultants? We did--it was awful, and I encourage everyone to avoid it if you possibly can. If you do go this route, collaborate as much as you can on the technical build and make sure you have specific expectations in your contract about documentation, both for your desk manual and within any SQL views or data model details/naming conventions.
I'm making an assumption that your company does want to ultimately manage the BI stack independently, and as long as that is the case you really want to do as much as possible in house, especially if you're not running in tight deadlines. This is a perfect learn-by-doing opportunity. If there are other staff that also know Power BI & SQL, they've already got the core skill-set. Azure tabular data models are mostly just bigger Power BI data models with better toys.

There's always this assumption that consultants will provide a superior product--in my experience the opposite tends to be the case. You get a better result if whoever is working on it has a vested interest in the quality of what you're putting together. Obviously technical skills matter, but those can be developed (and it's cheaper to develop them if you have the motivated employees than to pay an external team to miss the mark.)

I'm going to stop now since I've already written a novel--but if you have other/more specific questions, I'm happy to field them.

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🌐 r/BusinessIntelligence
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October 13, 2018
Data architecture for business intelligence at a consultancy

I would set up a snowflake instance. You can have a separate database for reach client. Then put looker on top of that. Looker has more scale ability than tableau with less overhead. Snowflake will allow you to cram as much data as you want into it and be able to pay only for that, scales perfectly with multiple clients and different needs. These tools are super simple to set up and maintain. They are also designed to meet the requirements you are setting out. Should you have any interest in it, I would be glad to go into more detail.

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April 20, 2016
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ThoughtSpot
thoughtspot.com › data-trends › business-intelligence › bi-architecture
What is BI Architecture? The Complete Guide
April 10, 2024 - To make in-the-moment decisions, you need a real-time, accessible, and reliable business intelligence solution that helps you explore your data, run · ad-hoc queries, and generate AI-enabled insights at every turn. Engage stakeholders: BI architecture often spans across business departments and functions.
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Data Semantics
datasemantics.co › business-intelligence-architecture-what-it-is-and-why-it-matters
Business Intelligence Architecture: What It Is And Why It Matters
November 18, 2024 - Business intelligence architecture is a system that collects, organizes, and analyzes data from different sources within a business.
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CIO
cio.com › home › data management
8 tips for rebuilding an AI-ready data strategy | CIO
1 week ago - IBM’s data strategy for the AI era included multiple changes to longstanding approaches, enabling it to build what Lovely calls an integrated enterprise data architecture. For example, the company retained the concept of data owners but “helped them understand that the data is an IBM asset, and if we’re able to democratize it in a controlled, secure way, we can run the business in a better, more productive way,” Lovely says.
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Medium
medium.com › @kanerika › a-complete-guide-to-business-intelligence-architecture-25ce2896a097
A Complete Guide to Business Intelligence Architecture | by Kanerika Inc | Medium
June 30, 2025 - This blog breaks down what goes ... Intelligence (BI) architecture is the foundational structure that defines how data flows across an organization — from collection to insight....
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Forbes
forbes.com › forbes homepage › innovation
Council Post: Distributed Intelligence Is Here—And Reshaping Device Architecture
2 weeks ago - Put simply, there is no “main” AI inference engine anymore. There are many—and they must work in concert. For companies building smart devices, this architectural evolution creates both complexity and opportunity. To succeed, product teams must adopt a system-level view of intelligence.
Find elsewhere
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PR Newswire
prnewswire.com › news-releases › dresner-advisory-services-publishes-2025-embedded-business-intelligence-market-study-302640602.html
Dresner Advisory Services Publishes 2025 Embedded Business Intelligence Market Study
2 weeks ago - The 13th annual study examines end user trends in embedded business intelligence (BI), the technological capability to include BI features and functions as an inherent part of a home grown or third-party application. The 2025 Embedded BI Market Study assesses the importance and adoption of embedded BI, architecture and feature requirements, and targeted applications.
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Indeed
indeed.com › career guide › career development › business intelligence architect: skills and responsibilities
Business Intelligence Architect: Skills and Responsibilities | Indeed.com
2 weeks ago - They develop these skills to perform their various responsibilities. A business intelligence architect, or BI architect, works with companies to develop and implement data mining, storing and analysis methods to improve data management.
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Group 107
group107.com › uncategorized › business-intelligence-architecture
Business Intelligence Architecture: Design, Build, and ...
2 weeks ago - Learn how business intelligence architecture turns raw data into strategic assets, and how to design, deploy, and scale a BI system for growth.
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Solutions Review
solutionsreview.com › home › analytics and data science news for the week of december 12; updates from altair, datarobot, thoughtspot & more
Analytics and Data Science News for the Week of December 12; Updates from Altair, DataRobot, ThoughtSpot & More
2 weeks ago - Databricks announced new GenAI Partner Accelerators focused on data engineering and migration, providing prescriptive architectures, templates, and best practices co‑built with leading partners to modernize data stacks on the Databricks Data Intelligence Platform.
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Talentmsh
talentmsh.com › insights › business-intelligence-architecture
A Practical Overview Of Business Intelligence Architecture | MSH
It is particularly well-suited ... Intelligence architecture is a fundamental tool for organizations to harness their data and make informed decisions in today's data-driven world....
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Computer Weekly
computerweekly.com › feature › The-agentic-AI-future-of-enterprise-architecture
The agentic AI future of enterprise architecture | Computer Weekly
3 weeks ago - Nick Tzitzon, vice-chairman of ServiceNow, described enterprise architecture as a blank screen in his recent ServiceNow World Forum keynote in London, giving a clear sales pitch to organisations that platform providers want to be the foundations for the new architecture, saying: “The more flexibility and choice we can give you will be how you see us as valuable.” · Femi Bamisaiye, COO and technology leader for pensions provider Nest, says: “The role of the enterprise architect is even more important now. That person will look at agentic AI in partnership with the CIO or CDO, and be the person that can articulate and translate its business impact and opportunity.”
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Swovo
swovo.com › blog › business-intelligence-architecture
Understanding Business Intelligence Architecture (BI Architecture) in 2026
Business intelligence architecture refers to the framework and structure that organizations utilize to collect, manage, and analyze data in order to improve business operations and make informed decisions.
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Vidi Corp
vidi-corp.com › home › business intelligence architecture – a comprehensive guide
Business Intelligence Architecture: Maximize Data Efficiency
April 25, 2025 - Business Intelligence Architecture is a system that helps organizations to collect, organize, analyze, data in easy-to-understand format.
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Ibimapublishing
ibimapublishing.com › articles › CIBIMA › 2011 › 695619 › 695619.pdf pdf
A Five-Layered Business Intelligence Architecture
proposes a framework of BI architecture which consists of five layers: data source, ETL, data · warehouse, end user, and metadata layers. These five layers are essential to ensure high data · quality and smooth information flow in a BI system. Keywords: business intelligence, BI architecture, framework, BI system
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GlobalLogic
globallogic.com › home › case studies › ai that delivers: transforming cpg field operations with intelligence and speed
AI That Delivers: Transforming CPG Field Operations with Intelligence and Speed | GlobalLogic
1 month ago - A structured playbook framework drives consistency while allowing the system to adapt to local nuances. Built with a modular, cloud-native architecture, the solution lays the foundation for future agentic expansion, with embedded intelligence that can learn, act, and scale.
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IBM
redbooks.ibm.com › redbooks › pdfs › sg245641.pdf pdf
Business Intelligence Architecture on S/390
As artificial intelligence (AI) continues to transform industries, organizations are seeking powerful, secure, and scalable platforms to deploy AI workloads. IBM Z®, renowned for its enterprise-grade reliability and performance, is uniquely positioned to meet this demand.
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GeeksforGeeks
geeksforgeeks.org › dbms › multi-tier-architecture-of-data-warehouse
Three-Tier Architecture of Data Warehouse - GeeksforGeeks
November 11, 2025 - The Top Tier in the Three-Tier Data Warehouse Architecture comprises the front-end client layer, which is essential for interacting with the data stored and processed in the lower tiers. This layer includes a variety of business intelligence (BI) tools and techniques designed to facilitate ...
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ResearchGate
researchgate.net › publication › 267990779_A_Five-Layered_Business_Intelligence_Architecture
(PDF) A Five-Layered Business Intelligence Architecture
August 8, 2025 - There is a defined five-level architecture, which includes all the tools and methodologies-from the processing of the information to its actual presentation. Additionally, a variety of programming languages, related to data science, can be ...