Banking · Wholesale credit risk
30%
faster data onboarding
Data governance, metadata and reconciliation controls for a credit risk warehouse fed by 10+ lending systems, reaching over 99% reconciliation accuracy.
Data & analytics consulting
We help organizations turn complex, high-stakes data into reliable reporting and insight their executives can act on, from requirements to pipelines to dashboards.
Clients
11 organizations in banking, healthcare and automotive services, across North America, Europe and the Middle East.
Bank of Montreal
Royal Bank of Canada
TD Bank
Canadian Imperial Bank of Commerce
Citibank
Scotiabank
ABN AMRO
Kuwait Finance House
Boubyan Bank
Sanofi
Jiffy Lube InternationalWhat we do
From the first requirement to the last dashboard, the same senior people stay on your engagement. All services →
Requirements, process mapping, system design and change management for complex transformation programs.
Explore → 02KPIs, semantic models and Power BI or Tableau dashboards that executives trust and use.
Explore → 03Predictive and prescriptive models, machine learning and statistical analysis on large datasets.
Explore → 04Pipelines and marts on Snowflake, Azure Databricks and SQL platforms, with lineage and governance built in.
Explore →Selected results
Client names stay confidential. All 12 engagements →
Banking · Wholesale credit risk
30%
faster data onboarding
Data governance, metadata and reconciliation controls for a credit risk warehouse fed by 10+ lending systems, reaching over 99% reconciliation accuracy.
Healthcare · Patient support
3
support channels compared
Therapy persistence and compliance measured across app, hub and specialty pharmacy, quantifying the digital app's uplift on Snowflake, dbt and Power BI.
Banking · Market risk
1TB+
risk reference data mart
An FRTB reference data mart aligning trading and banking books, desk structures and FX translation risk for regulatory capital oversight.
Industries
Whether you capture very little data today or already run on it, we help you find the functions where analytics adds the most value.
Faster reconciliation, consolidation and analysis of very large data volumes.
Turning issue logs, tickets and support data into better processes.
Measuring how patient-support programs and digital apps affect therapy outcomes.
Our approach
Every engagement moves through the same six stages, from framing the business question to measuring the result, so you always know where the work stands and what comes next.
Strategy
Interview stakeholders, define the business problem and agree on the KPIs and baseline that will define success.
Strategy
Audit data sources, quality, gaps and governance, and map the processes and systems behind them.
Strategy
Set the requirements, metric definitions, target data model and a phased roadmap, signed off before build starts.
Delivery
Develop pipelines, models and dashboards, and reconcile every number against source data and business logic.
Delivery
Roll out to users with documentation, data dictionaries and training, so insights are used across the organization.
Value
Track impact against the baseline, refine with ongoing support and move toward predictive analytics.
CBAPBusiness analysis, IIBA
PMPProject management, PMI
CDMP AssociateData management, DAMA
Azure Data FundamentalsMicrosoft CertifiedOur platform
Our platform for capturing, curating, consolidating, publishing and sharing insights: datasets, real-time charts and dashboards for internal teams or customers.
Contact
A short conversation about your data problem with a senior consultant. You'll leave knowing what's possible, what's viable and how quickly.
contact [at] tegzia [dot] com · +1 (647) 932-7455