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Short Term Course : BSB 361 Dept of CSE IIT Madras

Participants Details

# Name Gender Organization/Institute Name
1 Jeevan Beniwal Male
2 Ankit Kumar Pathak Male
3 Abhishek Kumar Male
4 Nitin Bisht Male
5 Maneesh Singh Bhakuni Male
6 Saurath Singh Male
7 N. Girish Male
8 Abuthahir Sulaiman M J Y Male
9 Mani Parthasarathy Male
10 Rajeshware Srinivasan Female
11 Anand M L Male
12 Sreenivasan V Male
13 Shreyas T R Male
14 M G Ritwik Male
15 Hemanth Subramanian Male
16 R P Narasimha Yadav Male
17 Narayanan M Male
18 Mukund Pradeep Male
19 U Sai Vikas Choudary Male
20 Padmanabhan Srinivasa Rao Male
21 Amuthan Karunanithi Male
22 Thirumalai Kumar S Male
23 Ajay R Male
24 K P Govind Male
25 Shiv Vidhyut Female
26 Ranjithkumar M Male
27 Kumar M Male
28 Maieenah Rajah Male
29 Vinodan G Male
30 Dinakaran Ganesan Male
31 Mohana Krishnan Male
32 Saravanaraja Govindaraj Male
33 Selva Radha Female
34 Ravi Chadran Male

Event Details

Topic
Introduction to data analytics.
Traditional MIS,
Impact of visualization,
Effective user interaction with system.
Need for analytics in BFSI sector.
Lot of moving parts,
pressure to perform,
cost of new customer acquistion,
abundance of data,
geographic distribution,
local effects on business.
Data volume and growth
Real time branch data,
mobile data,
online banking data,
historic data,
feeds from other systems.
Banking data warehouse DB model.
CBS, ATM,
Batch process, Mobile, Online,
Forex/Treasury,
Loans,
3rd parties like PayTM, Debit cards,
Data relationships, common connectors across data.
FinAL architecture & data flow.
Functional blocks,
Technical stack,
use of each technology product,
data source and target,
How it is deployed
Data extraction from OLTP source.
Source OLTP db,
csv extracts,
frequency of data extraction,
configuring adaptors.
Adaptors to ingest data to FinAL.
GO adaptors,
field mappings from source to target,
run frequency of adaptors,
duplications and rerun effects,
initial and incremental extracts
Simple analytics samples.
Show a set of visuals,
Demo the effect of visuals for various user roles
Visualization basics
Different chart types,
Configuring views to map to base data,
Admin and user roles of visualization engine
Security/user control in visualization
Define visualization privileges,
Map views and data fields for users,
Verify the information hiding features
Advanced analytics - dashboards
Configure multiple charts,
Design dashboards,
Access to dashboards to users,
Change in one chart and effect on the whole dashboard
Advanced analytics - drill downs
Summary charts,
level 1 detail drill down,
level n detail drill down,
restrictions in drill downs, grid details
Basics of ML/AI
What cannot be done using regular analytics,
Need for ML and AI,
Benefits of ML,
Tools for ML and AI
Data samples for ML
Time series data samples,
Geo based data samples,
Categorized/tagged data samples
Running predictive regression algorithms
Linear regression,
ARIMA,
Clustering
Running neural packages
Pre-process data,
Training,
Prediction

Subject :
FinAL - Workshop on Financial Analytics
Start :
13-Dec-2017
End :
13-Dec-2017
Venue :
BSB 361 Dept of CSE IIT Madras
Registration Status :
0

Workshop / Event co-ordinator Detail

Name :
V. Kamakoti
Mobile :
9380969092
Email :
assistantbsb311@gmail.com

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