Gartner® Magic Quadrant™ for Analytics and BI Platforms Data analytics for banks
Gain deeper customer insights by leveraging an advanced analytics platform to analyze transactions, deposits, and loan data.
Increase profitability with data-driven insights
Use the GoodData platform as a standalone solution, or embed it into your application or portal.
Get mortgage broker analytics
- Gain instant access to customer loan status, product type, and overall portfolio across channels.
- Use advanced analytics to increase revenue and upsell opportunities.
Reduce credit loss
- Enable bank personnel to rapidly identify at-risk borrowers.
- Quickly spot anomalies such as unusual account activity, credit risk, information security, and market and liquidity demands.
- Mitigate credit loss, increase profitability and liquidity.
Ensure compliance at every step
- Get a comprehensive view of regulatory discrepancies.
- Connect notifications and alerts to your data to proactively mitigate compliance issues.
Melissa McSherry
SVP and Global Head of Data, Security, and Identity Products at Visa
“With insights from data, we can help sellers, financial institutions, and Visa’s extended global business network better understand and meet consumer needs, especially when those needs are changing fast. Our partnership with GoodData will allow us to do that with an even broader set of clients.”
Melissa McSherry
SVP and Global Head of Data, Security, and Identity Products at Visa
Dive deep into our success stories
Examples of dashboards for banks
Explore how banks are leveraging analytics dashboards
Understand your customer base
Banks can get a comprehensive overview of their current status with metrics like total deposits and loans. Customers are organized into segments for increased understanding.
- Drill into data for further insights.
- A range of visualizations to tell the data story.
A bird's-eye view of fraud status
Delivers real-time fraud data to assess current threats and proactively mitigate future risks. Key metrics include defrauded amount, total fraudulent transactions, and number of fraudulent customers.
- Easily shareable with teams and stakeholders.
- Fully customizable to match any brand.
Discuss your use case with us
See how GoodData can help with your analytics goals.
- Discuss your specific business needs.
- Get a customized platform demo.
- Q&A about features, implementation, and pricing.
Why choose our analytics platform?
Reasons why companies love our analytics platform include:
- Intuitive platform with modern dashboards, predictive analytics, forecasting, AI assistant, and more.
- Advanced embedding, great at multi-tenancy and scale.
- Powerful automation of analytic workflows including entire data pipelines with analytics as code.
- Accelerated performance, data federation, smart data warehouse cost management.
- Multiple deployment options - any public, private cloud, or on-premise.
A trusted platform, loved by users
Common questions
How can I choose the right BI tool for the banking sector?
There are several things to consider when deciding on an analytics tool. Here's a step-by-step guide to help you make the right choice for a banking business:
- Define your requirements: Start by clearly defining your analytics requirements. Identify the specific use cases and key performance indicators (KPIs) you want the BI tool/analytics platform to support.
- Evaluate features and functionality: Look for an analytics platform that offers features and functionality tailored to complex banking infrastructural needs. Key features to consider include:
- The highest standards of data security and compliance,
- Trusted data governance including comprehensive testing, validation, and monitoring for consistent and accurate data, no matter where it is consumed
- Data visualization options,
- Ad-hoc reporting with drill-down capabilities,
- Predictive analytics,
- Rich integration options.
- Scalability and flexibility: Choose an analytics platform that can scale as your requirements change.
- Ease of use: Choose a BI tool that is user-friendly and intuitive, allowing bank professionals with varying levels of technical expertise to easily access and analyze data. Look for features such as drag-and-drop interfaces, customizable dashboards, and self-service analytics capabilities.
- Vendor reputation and support: Read customer reviews, case studies, and analyst reports to assess the vendor's reliability, customer satisfaction, and level of support.
- Cost considerations: Evaluate the total cost of ownership (TCO) of the BI tool, including licensing fees, implementation costs, training expenses, and ongoing support and maintenance costs.
Try GoodData yourself
See how GoodData can help with your analytics goals
