Banking Data Security Data Warehouse 
Sisense
JULY 14, 2019
If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Security Starts with People.
Astera
NOVEMBER 1, 2023
It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.
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Astera
JANUARY 29, 2024
These insights touch upon: The growing importance of protecting data. The role of data governance. Resolving data security issues. “Data privacy is becoming more and more important as our data resides with so many companies. The impact of industry regulations. Balancing the benefits and risks of AI.
Userzoom
JULY 31, 2019
Usually, we think data lives somewhere on a server; my bank account balance is at my bank’s server, my viewing history is on a server somewhere at Netflix. My bank and Netflix own that data and I have to trust them to keep it all accurate. Privacy concerns. It’s anyone’s game.
Actian
JULY 26, 2019
So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling. As Alex Woodie eloquently describes in his recent article, Big Data Is Still Hard.
Astera
FEBRUARY 9, 2024
End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. The data pipeline is prone to errors and failures, such as network issues, server downtime, data corruption, etc.
Tableau
DECEMBER 22, 2020
Accessibility and scalability of the dashboard resulted in faster time to market and adoption by nearly 70 local authorities, emergency services, and charities now using “data for good.” . Another big concern as analytics programs grow is maintaining data security and governance in a self-service model. Optimizing costs.
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