The field and service of data analytics pulls raw data and performs processes on it that generate insights that are useful to nearly every kind of business, delivering actionable information about the causality of existing and potential processes. The City of Toronto relies on data analytics services to inform its choices around municipal transformation and operates a dedicated Data & Analytics Unit. These Toronto companies are key players in the field.
Data Analytics Companies in Toronto
- PagerDuty
- ZS
- Applied Systems
- TransUnion
- VTS
Data Analytics Companies in Toronto to Know
Software and IT company PagerDuty offers an incident response platform for IT operations. This platform uses AI to constantly scan for aberrations or glitches in a client’s full suite of software products and processes. Using data analytics to understand how and why incidents occur, the platform then creates automation that mitigate future incidents and works independently to resolve incidents that do occur.
Healthtech company ZS offers strategic tech and management consultations for clients in the healthcare, healthtech, medtech and biotech sectors. Its team of experts is trained in medical science, business and tech. The company’s services include analysis of operations data to streamline processes.
Applied Systems is a software company that makes insurtech products like digital agency tools for application management, marketing automations and business intelligence. Its data analysis features are bundled into a specific tool, called Applied Analytics, which works as an automated data scientist to access, aggregate and analyze client data for insurance agents, brokers and insurers.
TransUnion is a fintech data firm that makes digital tools for analyzing, predicting and reporting consumer credit. In the United States, it is one of the three major credit reporting bureaus. The Transunion TrulQ Analytics Studio is a data analytics platform that includes access to Transunion datasets.
VTS is a proptech company that handles asset management and commercial real estate leases with its digital tools. One of the services it offers through its SaaS products is VTS Data, a suite of data analytics tools that includes a large dataset of commercial real estate data, updated in real time and featuring predictive analytics.
Automotive enterprise General Motors designs, engineers and builds passenger and fleet vehicles and provides supportive services in robotics, industrial technology and financing. The company has global name recognition thanks to products like the Chevy Suburban, which is the longest-running passenger vehicle model still in production. The GM data management and analytics division is focused on applying predictive and real-time analytics to its vehicles, conveyor belts and robotics systems.
Affirm is a fintech company with a “buy now, pay later” platform and service. Through Affirm, customers of client businesses can access payment terms without using credit. Affirm software integrates with e-commerce sites such that customers encounter the Affirm option at checkout, next to other digital payment options. The Affirm platform includes advanced analytics to measure ROI and other marketing metrics.
Technology company Motorola Solutions builds solutions to support public safety, including body-worn cameras, radios and software to power 911 call centers. By working with the high volume of data collected by its networks of surveillance and sensor devices, the company can provide precise, nuanced analysis to government and public safety organizations.
Rad365 is a healthtech company that offers niche services within the medical industry. Its primary offering is teleradiology, which is the technology that facilitates electronic medical images like CT scans, MRIs and X-rays. Second to teleradiology, Rad365 also provides medical data analysis services through its Rad365 Technologies division, a team of 20 developers at work on software, IT and data analysis projects.
Snowflake is a cloud data company that handles analytics, storage and processing for large data sets. Access to the private Snowflake AI Data Cloud, which uses AI for data cleaning, mining and visualization processes, is sold on a subscription basis. Once client companies are onboarded, they can perform data engineering in SQL and Python.
