Application of Big Data Analytics in Finance – For Customer Analytics and Fintech strategies and predictive modeling
With the rise in fintech startups and new technology ,newer business models are being deployed causing disruption and challenging traditional Financial Institutions and their traditional business models.
In this competitive and dynamic market , financial institutions can win based on the value they can derive from their huge amount of data.
Financial institutions can leverage their large customer bases and access to rich transactional data using big data analytics to create newer business models and products/services that can help them to acquire and retain customers and to deliver superior customer value.
Following are some of the areas that Big Data Analytics can help the financial services industry:
- Analysis to reveal patterns, trends and correlations based on extremely large data sets of customer profile and transactions.
- Real-time predictive and prescriptive analytics for driving customer acquisition, churn management and other actionable insights
- Digital platforms enabling more self-service powering 360 view of customers
- Strengthening data governance capabilities.
Ambeone offers intensive Three Day program for Finance Executives to integrate Big Data Analytics techniques in their daily jobs .
Main topics covered are:
|Financial Ratio Analytics||Predictive Modeling|
|Forecasting Techniques||Credit Risk Modeling|
|Customer Analytics||Churn Management|
Experience in Finance field and basic familiarity with Data Analytics concepts are prerequisites for this program.
This Program is also offered as customized program for different organizations based on their business needs and trainee’s experience.
Read how Big Data Analytics usage can transform other business domains:
Call 04-4425320 today OR Register Now !