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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Finastra’s Fusion Data Cloud is designed to turn complex financial data into clear, actionable insights that fuel growth, efficiency, and customer satisfaction. It connects banks, credit unions, and fintechs in a secure ecosystem, enabling the seamless sharing of structured, cleansed, and curated data. The platform’s AI and machine learning capabilities power predictive and prescriptive analytics, helping institutions anticipate customer needs, mitigate risks, and identify new revenue opportunities. Its pre-integration with Finastra’s core solutions ensures rapid deployment and eliminates messy integration projects. Financial institutions benefit from a 360-degree customer view, real-time decision-making tools, and customizable dashboards for performance benchmarking. Developers can quickly build, test, and launch innovative applications using sample datasets, reducing time-to-market and expanding reach through the FusionStore. Supported by Microsoft Azure technology, Fusion Data Cloud offers flexibility, scalability, and compliance across retail and corporate banking, lending, treasury, and payments. Ultimately, it helps organizations stay competitive in an evolving financial landscape.

Description

Open core technology facilitates the integration of hybrid and multi-cloud environments. Built on the open-source initiative CDAP, Data Fusion guarantees portability of data pipelines for its users. The extensive compatibility of CDAP with both on-premises and public cloud services enables Cloud Data Fusion users to eliminate data silos and access previously unreachable insights. Additionally, its seamless integration with Google’s top-tier big data tools enhances the user experience. By leveraging Google Cloud, Data Fusion not only streamlines data security but also ensures that data is readily available for thorough analysis. Whether you are constructing a data lake utilizing Cloud Storage and Dataproc, transferring data into BigQuery for robust data warehousing, or transforming data for placement into a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion promote swift and efficient development while allowing for rapid iteration. This comprehensive approach ultimately empowers businesses to derive greater value from their data assets.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Atfinity Yes 
Continuous Yes 
Dropbox Dash No 
Google Cloud BigQuery No 
Google Cloud Datastream No 
Google Cloud Platform No 
IntelliPay No 
Kasisto KAI Yes 
Kinective Bridge Yes 
LawTrac Yes 
Microsoft Power Apps Yes 
Pantomath No 

Integrations

Atfinity No 
Continuous No 
Dropbox Dash Yes 
Google Cloud BigQuery Yes 
Google Cloud Datastream Yes 
Google Cloud Platform Yes 
IntelliPay Yes 
Kasisto KAI No 
Kinective Bridge No 
LawTrac No 
Microsoft Power Apps No 
Pantomath Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Finastra

Founded

2017

Country

United Kingdom

Website

www.finastra.com/fusion-data-cloud

Vendor Details

Company Name

Google

Country

United States

Website

cloud.google.com/data-fusion

Product Features

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling Yes 
Match & Merge Yes 
Metadata Management Yes 
Non-Relational Transformations No 
Version Control Yes 

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