Data Analytics & BI that
Moves faster than your Market
Analytics engineered for decisions, not dashboards
You don’t need more reports; you need a system that turns raw, complex, multi-cloud data into real-time decisions. We engineer AI-native Analytics & BI that replaces manual reporting with governed, self-service insight and predictive action, powered by a streaming data architecture that unifies ingestion, processing, and analytics so fresh signals become decisions while they still matter.
Client outcomes we’ve delivered with Analytics & BI
Reduction in reconciliation effort by unifying data into an asset intelligence platform for a North American utility.
Higher operational efficiency through data model & reporting transformation for a leading propane distributor.
Reduction in time-to-market for new analytics solution for a utility technology provider.
Streaming at the core of your data stack
From pipelines to BI, data stays live, accurate, & decision-ready.
We embed intelligence across your data stack—strategy, pipelines, lakehouse, and BI—so leaders get consistent answers, reliable forecasts, and role-based access without the operational drag. Batch bottlenecks are replaced with CDC, event streams, and streaming tables that keep warehouses and dashboards live, eliminating rebuilds and manual refreshes. With exactly-once processing, schema evolution, and late-arriving event handling, KPIs stay accurate as data flows in.
Our lifecycle approach keeps outcomes front and center: from source mapping and cleansing to cloud setup, modeling (OLAP cubes and data marts), BI delivery with Power BI/Tableau, predictive insights, and ongoing managed operations. The result is an analytics foundation built to scale in the cloud and drive intelligence across every layer of the enterprise.
Client Success
Faster platform performance
Lower feature update cycles
QA cost savings
Seamless QA Integration for A $44B FinTech Merger at a Global Financial Information & Analytics Provider
Challenges
Our client, a leading provider of financial information and analytics, has partnered with TechBlocks since 2016 to drive quality assurance and operational excellence. Following its $44 billion merger with IHS Markit, the company faced the complex task of integrating more than 300 applications and digital platforms. Legacy QA processes struggled to scale with the increased workload, leading to inconsistencies in quality and delays in feature releases. Fragmented workflows and approval bottlenecks limited transparency and slowed collaboration across teams—directly impacting time-to-market and putting system stability at risk. To meet the high-performance standards demanded by global financial markets, the client needed a more scalable, structured, and automated QA model.
Solutions
TechBlocks delivered a streamlined QA transformation that scaled quality across 300+ platforms while reducing manual effort and delays:
- Integrated TechBlocks’ AI-driven Assessment Framework with the client’s KAFE framework to enable rapid test case generation, automated regression testing, efficient bug tracking, and continuous monitoring across 300+ platforms
- Deployed a specialized 36-person QA team for functional and performance testing on critical applications
- Embedded Agile practices through Scrum-based sprints and a structured 5-day QA approval cycle for new features, significantly cutting release delays
- Trained in-house teams on advanced QA methodologies, Tableau-based validation, and automation, with flexible resourcing to support BI analytics tasks when needed
- Provided long-term QA support to maintain platform reliability, scalability, and readiness for future business and technology demands
Analytics & BI Services
Data Strategy & Roadmap
Define the strategy for data, KPIs, and governance. We align architecture, tooling, and teams to business outcomes, then blueprint a pragmatic path to value. Clear sequencing, measurable milestones, and the controls to keep it compliant as you scale.
Data Pipeline & ETL
High-throughput pipelines for batch, APIs, and event streams that hold up in production. We automate ingestion, transformation, and quality checks so your analytics don’t break at quarter-end. Event-native by design—CDC from transactional systems, Kafka-compatible streams, and declarative streaming transforms—so you keep a Kappa-style single code path for real time and replay. Schema evolution, replayable logs, and idempotent writes make it metadata-rich, observable, and built for change without rewrites.
Cloud Data Warehouse
Managed platforms for current and historical analysis with fast interconnects to your apps and BI tools. We optimize partitioning, storage, and compute for performance and cost, with hybrid flexibility for on-premises workloads. To modernize without the stall, we run parallel pipelines, reconcile to the cent, and cut over safely, then tune cost with autoscaling and workload governance. Built for Snowflake, Databricks, and Microsoft Fabric, and deployed across AWS, Azure, and Google Cloud—while staying vendor-neutral and reference-architecture ready. Always secure. Always governed.
BI Visualization
Self-service, interactive dashboards your teams will actually use. We design semantic models that map to how the business makes decisions, enable role-based access and sharing, and ship clean, consistent definitions so every metric tells the same story across the org—live by default with DirectQuery/Direct Lake patterns and streaming tiles that keep executive dashboards current, not just scheduled.
Advanced Analytics
Prediction reporting powered by AI/ML/NLP to forecast demand, spot risk, and surface the “why,” not just the “what.” We productionize models with monitoring, drift alerts, and human-in-the-loop review so insights are explained, trusted, and acted on. Beyond accuracy, we monetize the signal with price optimization, next-best-action, partner data products, and embedded insights that connect models to channels so value shows up on the P&L.
Stream Governance & Observability
Schema registry, fine-grained access, column-level lineage, PII discovery, and policy-as-code. Every metric is traceable. Every event is auditable. Quality checks run on streams, with replay/backfill policies for confident scale.
Expertise you can trust
Why clients partner with TechBlocks for Analytics & BI
From strategy to data engineering, analytics, and data science, our AI-native architectures deliver faster outcomes, lower risk, and platforms built to adapt and scale. We help enterprises evolve from static reporting to living systems—streaming, predictive, and self-optimizing—so intelligence becomes part of how the business operates, not just how it reports.
“I’ve worked with TechBlocks for over eight years across multiple CIO roles, most recently at Supreme Cannabis. They’re a true partner on both strategic and tactical initiatives across AI, cloud, analytics, strategy, and product. What sets them apart is how seamlessly they integrate into any environment while consistently delivering high-quality work.”
Ash Rajendra, CIO – The Supreme Cannabis Company
Canadian Cannabis Retailer.
Ready to start the conversation?
Share your most pressing challenges and priorities with our team, and let’s explore what’s possible.
