FACTEUS REFINERY
Source: North America Banking Operations Survey, Accenture
HOW DOES FACTEUS REFINERY WORK?
If data is the new oil, then raw or “crude” data must be refined to give it value and make it consumable. Refinery uses Facteus proprietary configurable ETL process, designed to transform raw transaction data into new, modern big data architecture. Your data is staged in an analytics data warehouse (e.g., AWS Redshift, Google BigQuery, Microsoft Azure, Snowflake, etc.), then Refinery begins to standardize, normalize, clean, and prepare it.
Organizations rely on Facteus Refinery data engine to help them ingest data from any input and aggregate, clean, and transform it into data that can be used for actionable insights. This data output is ported to any database or cloud platform. From there, FIs have the flexibility to transform data into a type that they can use while adhering to their compliance and risk profiles.
- Cleaned-Raw—Personally identifiable information (PII) fields remain tagged to data.
- Anonymous—PII is removed but transaction data is unchanged.
- Synthetic—Statistically relevant “fake” data based on authentic data that cannot be reverse-engineered back to consumer or financial institution.
AFTER USING REFINERY, YOUR DATA IS READY TO BE HARVESTED FOR ORGANIZATIONAL VALUE:
- INFINITE BIG DATA SCALABILITY
- MACHINE LEARNING
- DEEP LEARNING
- ADVANCED ANALYTICS
- AUTOMATED REPORTING
- VISUALIZATION INTEGRATION WITH BUSINESS INTELLIGENCE SOLUTIONS SUCH AS TABLEAU, CHARTIO, LOOKER, AND DOMO
AFTER USING REFINERY, YOUR DATA IS READY TO BE HARVESTED FOR ORGANIZATIONAL VALUE:
- INFINITE BIG DATA SCALABILITY
- MACHINE LEARNING
- DEEP LEARNING
- ADVANCED ANALYTICS
- AUTOMATED REPORTING
- VISUALIZATION INTEGRATION WITH BUSINESS INTELLIGENCE SOLUTIONS SUCH AS TABLEAU, CHARTIO, LOOKER, AND DOMO
CONTACT US
Let’s discuss how you can gain visibility into your
comprehensive data estate with Facteus Refinery.
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