Banking Services

Axeor Solutions recognizes that Banking and Insurance companies each have unique business issues and challenges in regard to Financial Performance Management. Our company has extensive experience in solving business issues specific to these two unique industries.

Some examples of the many unique business issues which Axeor Solutions and IBM Cognos can address include:

  • Risk management and analysis
  • Profitability Management
  • Driver based planning
  • Compliance and regulatory reporting
  • Financial reporting including consolidations, cash flow, eliminations
  • Budgeting, planning and forecasting
  • New branch location planning
  • Cash optimization and forecasting
The digital revolution has dramatically changed the financial services industry, making it business-critical for financial services companies to collect, store and analyze massive volumes of data. Many of today’s top financial service firms rely on Big Data Solutions to create central data hubs that combine large volumes of diverse and detailed data, allowing them to ask bigger questions that drive competitive advantage in several key business applications. They can better serve their customers, understand their risk exposure and reduce incidents of fraud.

Risk Modeling

While financial services companies have more access to customer data than ever, they know less about those customers than before. Big Data Analysis enables the large-scale data ingestion that is necessary to keep pace with today’s digital world, capturing and analyzing all customer interactions.

Similarly, access to ever-increasing sources of data presents an opportunity as the sophistication of market risk modeling increases. By utilizing information from internal trading systems, logs from trade execution systems and external sources such as social media data and news feeds, financial services companies can have access to larger volumes and richer data than ever before.


With the move from in-person to online banking and financial services, firms have been able to offer more convenient, functional services to customers digitally; as a result, they are sacrificing the personal touch. However, we open the door to a more personalized online experience: by tracking user interactions across systems and channels in real time, firms can categorize customers dynamically and experiment with uniquely targeted offers and advice for a better and more personalized client experience.

Fraud Detection & Anti-Money Laundering

Financial services companies are challenged to create a balance between increasing service offerings while reducing exposure to perpetrators. As new systems and features are rolled out to customers, perpetrators are constantly adapting to fraud prevention techniques. Sophisticated firms are using Big Data solutions to perfect their fraud detection models. These companies can compare experimental results with simulations that leverage actual recorded data. They also deploy large testing sandboxes for research and development and real-time fraud detection engines to catch bad behavior in flight.