Webinar

How Enterprises Scale AI Using Microsoft Fabric, Copilot Studio, and AI Foundry

Join our experts to learn how enterprises can move from AI pilots to scalable, governed AI programs using Microsoft’s integrated AI ecosystem.

Register Now
Analytics and GenBI

Build the intelligence layer between data and decisions

Most BI environments are drowning in reports, but thin on decision support. Simform helps enterprises streamline analytics into conversational, decision-oriented experiences that support faster business action.

I'd Like To Know More!
banner image

Powering the next layer of enterprise business intelligence

Move from fragmented reporting to a powerful intelligence ecosystem. As a Microsoft Fabric Featured Partner, Simform combines full-stack engineering across data, AI, and BI with semantic modelling to help enterprises build governed, conversational, and decision-ready analytics system.  

BI foundation and architecture

Turn fragmented data into a structured foundation for reporting, Copilot, and GenBI use cases. Simform architects lakehouse environments, ingestion pipelines, quality controls, lineage, and domain-ready datasets so analytics teams can build on consistent, well-managed data.

With TrueMorph, Simform accelerates legacy data modernization by assessing existing workloads, mapping dependencies, and identifying a cleaner path toward an AI-ready data foundation.

BI Modernization & platform migration

Move from legacy BI environments such as SSRS, older Power BI report servers, Tableau, and Excel-based reporting to a cleaner, more scalable analytics platform.

Simform rationalizes dashboard inventories, migrates validated reports, retires redundant assets, and rebuilds reporting structures around clearer ownership and usability. This helps the new BI environment improve access and adoption instead of carrying forward the old estate’s complexity.

Generative BI activation

Enable business users to query data in natural language and receive answers grounded in approved business context, without depending on analysts for every request.

Simform implements the Copilot activation stack by preparing models for AI use, configuring AI Instructions, and shaping the data model so natural language prompts can generate accurate DAX queries. The result is a GenBI experience that supports wider self-service while staying aligned with enterprise controls.

Agentic analytics

Shift analytics from passive reporting to proactive insight generation. Simform designs agentic workflows that detect KPI anomalies, generate insight narratives, run multi-step analysis, and recommend next actions with traceability and human review built in.

Our ThoughtMesh accelerator provides a production-ready starting point for grounding agent outputs in enterprise data and reducing hallucination risk.

Faster analytics value with engineering-led GenBI delivery

Simform brings together data engineers, BI specialists, AI engineers, and platform architects to help enterprises modernize analytics for the GenBI era.

Microsoft ecosystem expertise

Simform is a Microsoft Fabric Featured Partner, Microsoft Solutions Partner for Data & AI, and holds advanced specializations in AI and analytics. Our architects bring experience building governed semantic layers, Copilot-ready analytics platforms, and modern enterprise data foundations across Financial Services, Retail, and Hi-Tech.

Governance built into delivery

Reliable AI-assisted analytics requires clear ownership, validated metrics, traceable lineage, controlled access, and reviewable model behavior. Simform embeds these controls throughout delivery so enterprises can scale GenBI while preserving trust, consistency, and accountability across business-critical insights.

Accelerator-led modernization

Legacy reporting environments often contain duplicated dashboards, unused datasets, and poorly documented dependencies. Simform uses proprietary accelerators such as TrueMorph to speed up discovery, map dependencies, and prioritize modernization before enterprises scale GenBI on the new data foundation.

Capacity-first model

Simform plans analytics environments around capacity, user demand, workload intensity, and refresh behavior from the outset. This helps teams scale Fabric, Power BI, and GenBI adoption without turning every new use case into a performance, reliability or cost-control problem.

Co-engineering delivery

Simform works alongside data, platform, BI, AI, and business teams through a shared delivery model. This accelerates decisions, reduces translation gaps, and keeps implementation aligned with how teams consume analytics and apply insights across everyday business workflows.

Cross-system integration

Simform’s application and integration expertise helps connect analytics with operational systems, customer platforms, enterprise apps, and business workflows. This allows insights to move beyond dashboards and become part of the processes, decisions, and actions teams manage every day.

Trusted by the World's Leading Companies

“Simform rearchitected and modernized our subscription management & billing platform as part of the multi-phase development initiative. The team quickly understood our business requirements and delivered a modern, modular architecture aligned with our scaling needs. Without disrupting our operational workflows, Simform handled complex data migration with precision and supported our legacy modernization journey with seamless ERP integrations.”

Robel Yemane, Head of Engineering

Privilee

“Simform delivered our self-serve application, including an MVP, within the agreed timeline. Their exceptional expertise and dedication continue to impress as they develop new features and maintain the application. A remarkable partner in software development.”

Abhilash Kumar

Technical Product Manager

AI-Driven Digital Advertising Platform

“We are satisfied with Simform’s quality work. The team manages the project well – they’ve solved issues and improved their performance. Overall, they excel in their communication; they do it frequently and effectively through Slack and Microsoft Teams. They also use internal management tools.”

Jay Gajera

Project Manager

Next-gen IoT Solutions Company

“The Simform team are extremely proactive across the full delivery life cycle whether that is reviewing conceptual designs to offer different options for our consideration or identifying areas where future enhancements could be considered to improve the application performance or end user experience.”

Andrew Mills

Product Manager

Global Consulting Company

“From start to finish, Simform delivered a great project experience, even when the requirements were a bit ambiguous with some changes, they adapted, adjusted and got the job done. Code delivered was of a high standard and the delivery team was great top work with. I recommend Simform to my own network all the time.”

CTO

Accredited Business Finance Company

“The cloud migration was a great sucess. Very satisfactory, seamless and increased our productivity. The most impressive part about Simform is their dynamic and well-versed team. Anytime there was a concern, we were able to communicate and have it rectified immediately.”

Jim-deVarennes

President

Trusted Community Services Organization

“Simform was an invaluable partner in our system modernization, moving beyond analysis to deliver true product engineering advisory. They  analyzed complex legacy workflows into clear, validated, developer-ready user stories. The clarity and strategic consistency they introduced was foundational, directly influencing our cloud architecture and product design. Their work effectively accelerated our discovery phase and time to market.”

Director of Engineering

Datamark

“Simform led the discovery phase for our digital infrastructure overhaul, bringing a mix of deep technical expertise and a truly collaborative spirit. They took our complex requirements and turned them into a solid product blueprint and a clear, prioritized roadmap. Everything stayed on track thanks to their structured project management. The level of strategy and architecture they brought to the table gave us the certainty we needed to take the next steps.”

Department Manager

Eye Recommend

Case Studies

Discover the many ways in which our clients have embraced the benefits of the Simform way of engineering.

Cloud and DevOps engineering

Manufacturer Cuts Quote Time 70% with Cloud Integration

Automated inventory verification process, seamless migration of legacy RFQ system to cloud and integrated the new platform with multiple ERP systems of manufacturers. Provided a unified view of the quotation process to key stakeholders spread across the world.

Modern solution with database automation on Azure reduced turnaround time to generate quotation by 70%.

Read More
arrow
sabre industry
Cloud and DevOps engineering
Data engineering

Automotive Improves Data Accuracy 80% with Data Platform

Built a Consumer Data & Experience Platform (CDXP™), a cloud-based solution designed to consolidate customer data and power personalized marketing strategies. Implemented advanced data engineering and marketing automation practices.

Serving over 1000 dealerships, the platform helps to maximize their ROI and improve customer engagement across their lifecycle

Read More
arrow
3 birds
Data engineering

Sports Brand Boosts ROI 40% with Customer Data Platform

Build a unified customer data platform that consolidates fragmented sales, events, and loyalty data into complete customer profiles. Solution powers real-time segmentation and personalized campaigns across eCommerce and 1,000+ annual events worldwide.

Achieved a future-ready ecommerce platform with 360-degree customer view across all channels. Delivered personalized shopping and event journeys.

Read More
arrow
Goruck
Cloud and DevOps engineering
Digital product engineering

Semiconductor Manufacturer Boosts Data Accuracy 80% with Automation

Build an enterprise application that eliminates hours of manual spreadsheet work. Solution processes thousands of daily orders through various sales channels and gives real-time visibility of inventory levels.

Reduced the order fulfillment lead time by 70% and got visibility of inventory levels across 200+ fulfilment partners having 5000+ product SKUs.

Read More
arrow
semiconductor - case study
Cloud and DevOps engineering
Digital product engineering

Global Auction Platform Achieves Zero Downtime with DevOps Pipeline

Build during COVID crisis to transform the way auction houses run operations digitally. It is a platform to manage real-time live auctions operations such as bidding, payments, escrow, inventory management, CRM, invoicing etc.

Simform’s white-labeled solution is used to sell 7million lots by 3900 auction houses from 165 countries.

Read More
arrow
Auction mobility
Digital and experience engineering
Digital product engineering

Water Treatment Giant Achieved Zero-Crash Performance

Built IoT solution for consumers and professionals that helped them manage the entire fleet of smart devices of Pentair. Solution involved building a mobile application using component-based development, intuitive UI and CI/CD pipeline.

Integrated hundreds of hardware devices through a robust IoT mobile application

Read More
arrow
Pentair
AI/ML engineering
Digital and experience engineering

AI Boosts Psychology Research Efficiency For 150K+ Users

Gen AI solution for psychology researchers for fast and efficient retrieval of information using LLMs. It streamlines content discovery and engages in dynamic, context-aware conversations, offering personalized guidance through research repository.

20X improvement in search speed while maintaining contextual understanding multi-turn conversations

Read More
arrow
AI boosts

Frequently Asked Questions

Typical phasing for GenBI implementation include: Readiness Assessment (4 weeks) → Semantic Layer & Data Pipeline Design (8–10 weeks) → GenBI Deployment (6–8 weeks) = 4–6 months from start to go-live. Post-launch optimization: 3–6 months included.

Costs vary based on:

Use case scope (1–2 use cases vs. 8+ use cases across departments)
Data quality baseline (clean data in a warehouse vs. fragmented across 10 systems)
Platform costs
Governance maturity (existing governance framework vs. building from scratch)
Team skills (strong internal data/analytics team reduces delivery cost vs. building capability)
Regulatory complexity (financial services/healthcare adds compliance integration work).

A small, contained GenBI project (1–2 use cases, clean data, existing governance) costs significantly less than enterprise-scale (8+ use cases, data cleanup required, multi-region compliance). We provide a detailed cost estimate after Phase 1 assessment, based on your specific constraints.

GenBI must be governance-aware from day one. We integrate Purview three ways: (1) Lineage & discovery – users see the data path behind every answer (ERP → Fabric → answer), building trust and auditability. (2) Semantic layer enforcement – governance rules embedded in the semantic model automatically block unauthorized access (finance users can’t see PII, regional users can’t see cross-region data). (3) Data quality gates – GenBI won’t answer questions on low-quality data; it flags issues and escalates to analysts. We map Purview glossary to semantic model, sync access controls, and integrate quality scorecards. Post-launch, Purview becomes your governance operations center. We review usage patterns monthly and refine the semantic layer. We don’t deploy ungoverned GenBI. 

We evaluate four dimensions: (1) Data readiness (quality, lineage, governance maturity), (2) Analytics maturity (existing BI infrastructure, self-service capability), (3) Organizational readiness (user adoption of analytics, executive alignment on priorities), (4) Technical architecture (data warehouse, cloud readiness, API/integration capability). The assessment identifies: which use cases are quick wins vs. require foundational work, whether data governance or analytics upskilling is the bottleneck, realistic timeline to business impact. Typical timeline: 4 weeks. Deliverable: readiness report + phased adoption roadmap.

The choice depends on three factors: your data stack, team skills, and integration depth you need. We evaluate your constraints: existing data warehouse, cloud provider, team SQL/Python skills, regulatory requirements, integration dependencies. We recommend the best fit, then design semantic layers, data pipelines, and governance on that platform.

If you’re on Azure + Microsoft 365: Microsoft Fabric + Power BI is the natural fit. Fabric centralizes your data and Power BI layers semantic models and GenBI on top. As a Microsoft Fabric Featured Partner, we have deep expertise and have guided several organizations through Fabric + Power BI deployments. We know the governance integration, the MLOps setup, and the migration complexity from legacy BI.

GenBI doesn’t replace analysts; it elevates them. Analysts shift from report builders to insight strategists. Freed from “what’s the Q3 pipeline?” questions, analysts tackle harder problems: “what if scenarios,” prediction models, process optimization. We design this role transition explicitly: which analyst tasks become self-service (low-value, repetitive), which stay with analysts (strategic, complex modeling), which are new (GenBI governance, semantic layer curation). We train analytics teams on this new role. Organizations with strong change leadership see adoption spike; those without it see resistance. Executive alignment on the role shift is essential.

Yes. Semantic layer designs ~80–85% of common business questions accurately. The remaining 15–20% are edge cases that include complex analysis, unusual combinations, one-off requests. GenBI should route these intelligently: either (1) escalate to analysts (“I don’t know how to answer that; please contact analytics team”), or (2) enable power users (advanced query builder or direct SQL access for trusted analysts). The semantic layer improves over time: as you see questions fail, you refine the layer to handle them. We monitor question failures monthly and recommend semantic layer updates (Month 3, Month 6, Month 9 reviews).

Let’s talk

Hiren-Dhaduk Hiren Dhaduk

Creating a tech product roadmap and building scalable apps for your organization.

phone Call Us Now
Revisit consent button
How we use your personal information

We do not collect any information about users, except for the information contained in cookies. We store cookies on your device, including mobile device, as per your preferences set on our cookie consent manager. Cookies are used to make the website work as intended and to provide a more personalized web experience. By selecting ‘Required cookies only’, you are requesting Simform not to sell or share your personal information. However, you can choose to reject certain types of cookies, which may impact your experience of the website and the personalized experience we are able to offer. We use cookies to analyze the website traffic and differentiate between bots and real humans. We also disclose information about your use of our site with our social media, advertising and analytics partners. Additional details are available in our Privacy Policy.

Required cookies Always Active

These cookies are necessary for the website to function and cannot be turned off.

Optional cookies

Under the California Consumer Privacy Act, you may choose to opt-out of the optional cookies. These optional cookies include analytics cookies, performance and functionality cookies, and targeting cookies.

Analytics cookies

Analytics cookies help us understand the traffic source and user behavior, for example the pages they visit, how long they stay on a specific page, etc.

Performance cookies

Performance cookies collect information about how our website performs, for example,page responsiveness, loading times, and any technical issues encountered so that we can optimize the speed and performance of our website.

Targeting cookies

Targeting cookies enable us to build a profile of your interests and show you personalized ads. If you opt out, we will share your personal information to any third parties.