AI to elevate the power of Data in Financial Services
The banking industry is currently at an inflection point, where orchestrating change and scaling results is essential. New technologies are the driving force behind achieving new dimensions and staying competitive in the sector. We can be your technology partner, helping you meet these challenges and leverage the power of data to improve your business.
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Trends that are changing the banking landscape
Keepler can be your partner in all of these evolving changes
Data Integrity and Analytics
Although the data is abundant, it also has to be easily accessible, clean and integrated enough.
Digital and emerging technologies
New technologies are dramatically changing the banking market at all levels. AI and automation bring value that has never been possible before.
Embracing and becoming digital
In banking, “digital transformation” is not just a word, but a critical imperative. Many banks are experimenting, but few are taking consistent steps. Technology will be the driver of growth and customer experience.
Enterprise Agility
Today’s competitive advantage comes not from being big, but fast and agile. Banks must embrace change and harness the power of digital forces to innovate in smaller and bolder cycles.
Leveraging platforms and monetizing data
Banking is looking for ways to improve the customer experience, and this is becoming increasingly difficult. Data is power. Banks will have to decide how they want to use the platforms, and the data behind them, to grow.
AI and Cloud-based solutions for the banking sector
Think about the KPI you need to improve, and let a data product team do the rest
User Experience
Customer Fingerprinting
Solution based on analytical services, databases, processing and reports to generate a unique customer identification. Improved campaign optimization and service personalization.
Recommendation and next best action systems
Personalization of commercial management and anticipation of possible customer needs.
Customer segmentation
Discovery of high and low value segments, applying clustering techniques, decision trees, logistic regression… Improves the allocation of marketing resources, impacting loyalty and retention.
Customer Life Cycle Value
Data science techniques on variables such as acquisition and attrition, product usage, volume, profitability, customer characteristics… allows for customer relationship prediction. Improves the profitability of customer relationships.
Risk & Financial Services
Fraud Identification
Identification of potential fraud using ML on hundreds of internal and external variables and unstructured data. Increased accuracy by more than 75%.
Payment delay prediction
ML models analyze customer history and recent movements identifying similar patterns in other customers that have led to late payments. Improves predictability and actionability.
Efficiency analysis
End-to-end assessment process, from data management to dashboards, allowing to understand and compare the efficiency of investments. Improved decision making.
Risk indication for POS customers
Transactional information from the merchant together with public data allows to assess a credit operation.
Cross Services
Automatic and intelligent extraction
Automatic and intelligent extraction of invoice entities from unstructured data, in multiple languages and generating automated actions. 90% improvement in accuracy.
AI for customer legal certainty and data-driven decision making
Automated extraction of digitized contract data to be exploited by AI tools to increase customer legal certainty and foster data-driven decision making.
Infrastructures
Analysis Platform
Provides the organization’s analysts with ML automated environments, access control and information security. It provides numerous savings in licenses, reduction of production start-up and scalability of ML models.
Data lake
Holistic view of the main KPIs (+300) designing workflows from internal and external sources, as well as self-analysis dashboards. Process improvement and indicator calculations.
Migration
From Cloudera to a new data exploration platform, for use by +200 data scientists in the organization, using cloud-native services and fully automated. Considerable savings in licensing and infrastructure costs.
We help our clients transform their business through data
Explore how we’ve accelerated data transformation and empowered our clients to harness the full potential of their data.
Global Head of Data Engineering & Tech Architecture
They provide very valuable service based on quality and knowledge. Their consultants are highly skilled and know public cloud in depth.
Thinking about the future?
These are the goals for your business
Humanizing the banking experience in digital channels, focusing on younger generations for gaining loyalty.
Giving customers access to data, financial tools and advice, as well as integrated financial options that are personalized and actionable.
Cloud at the heart of the business, where all technologies will converge and where many enterprise products and services will be reimagined and built to future-proof the organization.
Deploying AI at scale, not only investing in cutting-edge technologies but also in human capabilities, embedding AI into business processes.
Developing a true data culture in companies that allows data to be the fuel for advanced predictive analytics.
Would you like to talk about your business?
We can help you leverage the power of data to enhance your operations.