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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

MD Financial Management Tech Stack and Enterprise Applications

MD Financial Management Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Power BI Analytics and BI Analytics and BI n/a 2016 2018
In 2016, MD Financial Management implemented Microsoft Power BI to deliver an end-to-end BI solution targeted at Sales Compensation. The engagement explicitly covered architecture, design and development of an Analytics and BI platform under the Sales Compensation Technologies and Concepts program, aligning reporting and analytical modeling capabilities to the companys compensation processes. The implementation included Data Modeling and semantic model design, authoring in Power BI Desktop, and publishing to Power BI Service. Data transformation and ETL logic were implemented using Power Query and M, analytical calculations and measures were implemented with DAX, and R was used for advanced analytics where required, producing reusable datasets and report artifacts. The solution architecture leveraged Microsoft Azure across IaaS, PaaS and SaaS layers, with Power BI Service as the consumption layer and Azure services providing storage and compute for the BI pipeline. Ingestion was structured to bring Sales Compensation data and enterprise data stores into the BI environment, supporting scheduled refresh and centralized dataset management consistent with Analytics and BI best practices. Operational coverage focused on Sales Compensation and adjacent finance and sales operations teams inside MD Financial Management in Canada. Governance practices emphasized workspace and dataset stewardship, centralized semantic models, and controlled report deployment workflows to ensure consistent calculations and access control across compensation reporting.

IT Decision Makers and Key Stakeholders at MD Financial Management

First Name Last Name Title Function Department Email Phone
Vice President, Client Insight & Business Intelligence VP IT
AVP, Compliance Services and Data Management VP Legal
Vice President Information Technology VP IT

Apps Being Evaluated by MD Financial Management Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from MD Financial Management IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the MD Financial Management digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD MD Financial Management Technographics
MD Financial Management is a Banking and Financial Services organization based in Canada, with around 3000 employees and annual revenues of $1.20 billion.
MD Financial Management operates a diverse technology stack with applications such as Microsoft Power BI, covering areas like Analytics and BI.
MD Financial Management has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft.
MD Financial Management recently adopted applications including Microsoft Power BI in 2016, highlighting its ongoing modernization strategy.
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Our research team continuously updates MD Financial Management’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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