Understanding Data Analytics in Banking

Description

Understanding Data Analytics for Banking

COURSE OUTLINE:

1. Introduction to Data Analytics

    1. Meaning of Data
    2. Data Analytics Definition
    3. Sample Data Points

2. Fundamentals of Data Analytics

    1. Data Management and Preparation
    2. Data Analytics Tools
    3. Types of Data

3. Types of Analytics

    1. Descriptive Analytics
    2. Diagnostic Analytics
    3. Predictive Analytics
    4. Prescriptive Analytics

4. Implementation, Best Practices and Sample Use-Cases

5. Advance Analytics and Emerging Technologies

A. Overview on Generative Artificial Intelligence

 

RESOURCE SPEAKERS:

ROMULUS ALEJANDRO

Director – Data Analytics

Deloitte Philippines

Nino started his career in Deloitte as a Director in Data Analytics under Risk Advisory. He has been in the company for almost 3 years who leads and manages a team of 30 providing core services in Risk Analytics and Data Engineering to different clients across SEA and Asia and the Pacific. He has more than 15 years of experience in IT focusing on Data Warehouse, Data Management and Data Analytics.

 

LYNDON CYRIL CANLAS

Assistant Manager – Data Analytics

Deloitte Philippines

Lyndon is one of the Assistant Managers in Deloitte providing services in Deloitte Australia focusing on Data Risk and Data Analytics. He has more than 10 years of professional experience as Data Engineer doing Data Migration, Data Modelling and Data Analytics.

 

SCHEDULE:

August, 15, 2024 (Thursday)

10:00 AM – 2:00 PM

 

TRAINING FEE PER PARTICIPANT:

From Member Institution – P 2,800.00

From Non-Member Institution – P 3,920.00

**VAT Inclusive

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