BCA Case Study
Date: 16 July 2018 – 3 December 2018
Place: BCA Learning Institute
Participants: 25 participants
Banks have always held vast amounts of data inside their organizations. Banks and financial institutions are working towards establishing new business opportunities by identifying how customers consume and are made aware of products.
Decisions can be made depending on which additional services can be offered to secure customer loyalty, along with understanding how banks should communicate specifically with individuals by applying more behavioural analytics to segmentation.
How to create value for customers through data becomes an important factor in the digital economy. It means establishing a more accurate understanding of customers and the context in which they consume services. Communicating with customers about products and services in an appropriate and timely manner and ultimately creating a more enhanced customer experience through the value of data.
If banks apply greater machine learning and artificial intelligence techniques and technology, a far more personalized and focused message is created, one that is targeted more effectively and with the added benefit of improving each customer’s appreciation of what their bank can do for them.
We are honored to provide an adjustable corporate training for BCA based on Data Science Academy syllabus to help BCA optimize data science better in their business.
Through Full Track course adapted from Algoritma Data Science Academy Syllabus, participants are able to utilize data visualization and machine learning in analyzing their data and presenting the output to the users.
- More automated data analysis – more efficient use of time and more objective approach
- Real-time interactive plotting that is easier for the users to understand and gain insights
Relevant Courses: Data Visualization, Machine Learning and Mentoring