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1
Intro
2
Impact of Big Data & Analytics
3
Business Problem
4
Our Solution
5
Benefits
6
Differentiators
7
Features
8
Business Drivers
9
Technology Landscape
10
Architecture
11
Flashback to before 'Customer Analytics'
12
The Problem Statement
13
Portfolio Manager
14
Clickstream Transactions
15
Customer Transactions
16
Sentiment Analytics - Twitter
17
Sentiment Analytics - Email
18
Sentiment Analytics - Customer Surveys
19
Data Integration
Description:
Explore a microservices-based data and analytics solution designed to address scalability and data quality challenges in next-generation platforms. Discover how TCS and Red Hat leveraged OpenShift Container Platform to create an advanced architecture capable of handling increasing volumes of live, high-speed data from various structured, semi-structured, and unstructured sources. Through a live demo, learn about breaking down data and analytic silos, overcoming traditional big data system limitations, and managing multiple data sources for improved business decision-making. Gain insights into the solution's impact on Big Data & Analytics, business problems addressed, benefits, differentiators, features, and business drivers. Examine the technology landscape, architecture, and various components including customer analytics, clickstream transactions, sentiment analysis from Twitter, email, and customer surveys, as well as data integration techniques.

Next-Generation Microservices-Based Data and Analytics Solution

Red Hat
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