Analytics Enablers

Enterprise Data · Analytics · Generative AI

From fragmented data to confident, AI-ready decisions

We help enterprises unify data platforms, scale trusted analytics, and deploy governed Generative AI — with senior practitioners who deliver in production, not pilots.

The enterprise data & AI journey

01Connect

Unify siloed sources into a governed lakehouse and analytics foundation.

02Govern

Establish lineage, quality, and access controls your teams can trust.

03Analyze

Deliver self-service BI, advanced analytics, and measurable KPIs at scale.

04Activate

Deploy LLMs, RAG, and AI agents with security, observability, and ROI.

Generative AI

Production-ready Gen AI & agentic expertise

From LLM applications and RAG to AI agents on Databricks, Azure, and AWS, we help enterprises move beyond pilots to governed, scalable AI solutions.

Large Language Models (LLMs)

Integrate and fine-tune foundation models from OpenAI, Anthropic, Meta, and open-source providers, matched to your latency, cost, and compliance requirements.

Retrieval-Augmented Generation (RAG)

Ground LLM responses in your enterprise documents, policies, and data catalogs using vector search, chunking strategies, and governed knowledge bases.

AI Agents & Orchestration

Build agentic systems that plan, reason, and act across tools and APIs, with evaluation, guardrails, and observability built for production environments.

Databricks & Lakehouse AI

Leverage Databricks Mosaic AI, MLflow, and Unity Catalog for end-to-end Gen AI development, model serving, and governed data access on the lakehouse.

Azure OpenAI & Microsoft Fabric

Deploy secure copilots and AI-powered analytics within the Microsoft ecosystem using Azure OpenAI Service, Fabric, and enterprise identity controls.

AWS Bedrock & SageMaker

Build and scale Gen AI workloads on AWS with Bedrock foundation models, SageMaker pipelines, and cloud-native security and cost management.

How We Work

A proven delivery approach

We combine strategy, architecture, and execution to move you from fragmented data to trusted, enterprise-grade analytics.

Discover

We assess your current data landscape, business priorities, and technical constraints to define a clear roadmap.

Design

We architect scalable, governed solutions aligned to your strategy, selecting the right platforms and patterns.

Deliver

We build and implement production-ready platforms with disciplined execution, on time and within scope.

Optimize

We provide ongoing support, performance tuning, and enhancement to ensure lasting business value.

Proven Results

Delivering measurable impact

Selected engagements across banking, telecom, energy, insurance, retail, and manufacturing — modernizing data platforms and delivering trusted analytics at scale.

T-Mobile, USA logo

Telecommunications

T-Mobile, USA

Customer Sentiment Analysis Platform

Established a unified customer sentiment platform that integrates social listening, CRM interactions, and network performance signals into a governed lakehouse for enterprise reporting.

Key outcomes

  • Optimized pipeline performance
  • Single trusted KPI source
Read case study
Getty Images, USA logo

Digital Media

Getty Images, USA

ML Workflow Automation & Model Deployment

Automated end-to-end machine learning workflows for computer-vision and search models — from dataset versioning through training, evaluation, and governed production deployment.

Key outcomes

  • Automated retraining & deployment
  • Benchmarked inference efficiency
Read case study
ARC Resources Ltd, Canada logo

Energy & Utilities

ARC Resources Ltd, Canada

Real-Time Drilling Data Ingestion

Delivered a streaming analytics platform that ingests rig telemetry from multiple vendor hubs into Databricks, enabling real-time on-bottom drilling performance visibility for field operations.

Key outcomes

  • Near real-time drilling insights
  • Optimized depth-based storage
Read case study

Insights

Practical guidance from the field

Expert perspectives on lakehouse migration, Generative AI production, MLOps, and IoT analytics.

LinkedIn Recommendations

Trusted by colleagues and clients

Endorsements from executives, managers, and peers across banking, insurance, telecom, and global enterprise programs.

I have the pleasure of working with Umair at Sun Life. His technical aptitude, customer focus, and attention to detail have led to great success in supporting a robust analytics catalog. His leadership is quite notable and comes through not only in his ability to support his internal stakeholders but also direct reports. His professionalism and dedication are sincerely appreciated and I look forward to continuing my working relationship with Umair.

Przemek KunkaEnterprise Data & AI Executive · Sun LifeSame team

Umair Ahmad Bhatti is a dedicated and resourceful staff that have completed numerous initiatives on analytical tools, benefited the users on reduction of analysis time.

Dr. Yeong Tuck WaiProgram Director, Data Center Management · DiGi TelecommunicationsSame team

I worked with Umair on a project to upload data to Google Cloud. It was the first of its kind in the organization and Umair was very helpful in explaining the requirements gathering process as well as the development and production cycles to effectively communicate timelines to senior stakeholders. His deep subject matter expertise and commitment to get the details right helped immensely with the execution and success of the project.

Alex Mao, MBAData Analytics Leader · BellCross-functional project

Umair is always looking to improve processes and performance of our marketing tools. Great to work with, he always has a positive we can get-it-done attitude.

James S. ThackrayBusiness Intelligence Leader · BellManaged Umair directly

Umair is a resourceful and persistence individual. He has all the trade to ensure what's need to be done and done up to utmost completeness.

Steven Wong Tack HengTechnology Leader · DiGi TelecommunicationsSame team

Umair is one of the most hardworking, dedicated and diligent people I have known since my college days. His knack for getting projects and assignments done has always distinguished him among the top-notch students at university and at his workplace. In short he is "one tough cookie to crack". Good luck mate.

Sajjad AhmadEnterprise Architect, Data & AI · NUSTStudied together

Showing 6 of 19 recommendations. View all · View on LinkedIn

Why Analytics Enablers

Built for enterprise outcomes

Top Talent

We bring experienced data and analytics professionals and continuously invest in their growth to ensure high-quality delivery.

Strategy-Focused

We design solutions aligned to both immediate business priorities and long-term strategic goals.

Ongoing Value

We focus on delivering sustainable outcomes with measurable business impact and return on investment.

End-to-End Services

We provide complete data and analytics services, from initial design and implementation to ongoing support and optimization.

Organizations we've served

Trusted by enterprises across banking, telecom, technology, and retail in North America, Asia Pacific, and global markets.

Aurora Parts logoARC Resources logoBell logoBMO Bank logoCapgemini logoCelcomDigi logoGetty Images logoIBM logoMNP logoNestell & Associates logoOCBC Bank logoOxford US logoProcore logoProcogia logoStandard Chartered logoCox Automotive logoStaccato logoStaples logoSun Life Financial logoTE Connectivity logoTD Bank logoTCS logoT-Mobile logoTelenor logoHome Hardware Stores Limited logoHCLTech logo

Let's discuss your data strategy

Book a complimentary discovery call or send us a message. We typically respond within one business day.