ARM Insight is the leading provider of actionable insights from financial data. The company’s innovative data products have been gathered from over 1,000 financial institutions, giving you access to the “truth” of actual transaction data, not just general trends. These rich insights can be used for investment decisions, benchmarking, competitive analysis and other strategic initiatives. To learn more, visit www.arminsight.com.
Data CategoriesAI & ML Training Data Financial & Stock Market Data
ARM Insight’s data products come from our direct partnerships
with over 1,000 financial institutions and includes ARM Insight’s proprietary data
enhancements such as the tagging of more than 1,600 merchants at an
accuracy rate of 99.79%. Merchant descriptions change over time and there
are tens of thousands of merchants in the U.S., so the suite is consistently
updated with new merchants. Monthly updates of the latest tagging data
include a retroactive refresh of all historical transactions and enhancements
to merchants already being tagged. Other key benefits include:
- Well-balanced panel that includes Debit, Payroll, and General
Purpose Reloadable Debit Cards (GPR) that represent the largest
and fastest growing payment types in the card ecosystem.
- The deepest level of granularity on data fields and payments types
in the market
- Well-balanced geographic, age, and income distribution
- Insight into Millennial, Gen Z, and the Underbanked market segments
that are …
ARM Insight provides transaction data sourced directly from financial institutions and payments companies. We synthesize and aggregate the data to remove any Personally Identifiable Information (PII) while maintaining its statistical relevance. Using proprietary tagging methodologies, billions of transactions are attributed to specific companies and stock tickers and additional data elements such as acquisition date cohorts are added for deeper analysis.
Retail Competition: Retailers usually have a solid grasp of their own data. However, they know less about their competition’s. Retailers are willing to pay for a market share analysis or competitive insight (using synthetic data) of average transactions (over time) or percentage of online vs off-line transactions.
Commercial Real Estate: Potential buyers of retail shopping areas (i.e. shopping mall, strip malls) are interested in not only the population growth trends and foot traffic that surrounds these locations, but more importantly, the transaction frequency and history of consumers in these areas. These investors are willing to pay for transaction trend data that shows growth or decline in # of transactions or transaction amounts in certain shopping areas.
Investment Firms: Investors looking for growth trends in transactions across time, industries, or geographies
Transfer methods 2/6Cloud Storage, SFTP
Data formats 3/5Raw, JSON, CSV
As data privacy laws and regulations such as GDPR, CCPA, and GLBA crowd the industry landscape, ARM Insight’s Synthetic Data methodology helps keep client data safe and compliant