Migrate to the cloud without a complete ‘lift-and-shift’ without disruption while improving query performance from branch to transaction in under 5 seconds.
From time shifting to counting distinct customers, AtScale will provide a full view of the data whether its region vs. local performance or counting distinct customers whether they are internal or external users merchants, payment partners, etc.
Observe account activity across platforms to identify suspicious behavior and possible security breaches or evaluate risks and opportunities more thoroughly all without data movement and with a live connection using your AI/ML/BI tool of choice—all without extracts or copies of the data.
Identify patterns of fraudulent behavior and possible security breaches in enormous amounts of unstructured and structured data and across multiple data platforms in real time.
Leverage just-in-time access to granular data on active loans, accrued equity, and the ability to generate quicker and more accurate appraisals.
Reduce payment defaults and improve revenue recognition to evaluate risks and opportunities more thoroughly through aggregated big data.
Aggregate user purchasing and behavior information across retail banking, investing, online, and social media to achieve insights on customer experience opportunities, maximize the value of available customer data and increase customer satisfaction levels.
Exponentially expand your data footprint without spending more on adoption or data access.
Realize your vision for a self-service analytics environment where users can use any tool to access a single source of truth without competing or waiting for data engineering resources.
Don’t sacrifice security to gain access to live data and provision it at the speed that’s needed to detect the biggest business opportunities and potential threats.
The need for speed is facing nearly three in four financial institutions and unsound decision making can cost 3% of profits, Gartner reports.
Improve visibility into the your financial performance and exposure to risk, customer behaviors and to detect possible security breaches.
Fully scale architectures centered on the key areas of agility, performance, and security.
Get a better, real-time understanding of market and operational risks.
Connect data easily and decouple the data migration process from access to and performance of data.
Processing close to 25% of all US credit card transactions, this global financial services leader has more than 120 million customers worldwide. To better anticipate and identify fraudulent activity, the company sought to analyze credit-card activity in real time; but its traditional data architecture could no longer keep up with such hyper-speed analysis demands.
To be able to proactively decipher fraudulent activity, analysts require the ability to review transaction level card data in tandem with data collection, meaning all data had to be in the same place at the same time. A3 was implemented to solve for this need by enabling analysts to access and query all the data in Hadoop with sub-second response time, regardless of which front-end BI tool they are using.
With real-time, complete, governed, self-service access to all credit card data in Hadoop, this global financial services company is better able to track and update fraud protection algorithms, to deliver consistent protection and services to customers worldwide.
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