Big Data in Financial Service Industry

In order to get senior management's buy-in on Big Data, you will have to show them some use cases.

Let's start from the financial service industry including the banks and others.

From Oracle:

This Oracle White Paper briefly talks about Oracle Big Data technology and several use cases in the financial services industry.

Financial Services Data Management:Big Data Technology in Financial Services

From IBM:

IBM solutions for big data provides banks with an integrated and scalable set of cost-effective, high-performance tools that support the rapid ingestion of important customer data from a variety of sources and the fast analysis of large volumes of data at transactional, product or enterprise levels.

See the link from IBM website: Deriving Business Insight from Big Data in Banking

And White Paper: IBM Information Agenda for Banking - Financial Crisis and Integrated Risk Management for Financial Institutions

From IDC:

The document is not free. You will have to  pay US$1,000 to get it.

Big Data - Use Cases in Financial Services

Price: US $1,000

Author: Michael Versace

Insights Presentation
July, 2012  -  Doc # FIN236035Number of Pages: 18

Abstract

Data is the currency of competition in financial service. The effective use of data and information is the foundation upon which firms compete. Services are wrapped around data to differentiate products and services. For example, knowing which customers represent the best credit revenue and profitability opportunity to a bank is a question that only data and analysis can answer.

As an extension, IDC Financial Insights believes that Big Data and business analytics can quickly deliver competitive advantage for those firms that effectively harness and leverage the trend.. In this IDC Financial Insights presentation, we describe some of the drivers behind big data with examples for how big data technologies are being applied against some demanding business imperatives in the financial markets today. The presentation concludes with Essential Questions and Guidance to practitioners.

Oracle and Big Data

When people talk about Oracle, they first think about its RDBMS (relational database). After Oracle acquired so many companies including BEA and Sun, people know about its Java and Weblogic. So where is Oracle's Big Data product?

On its own site, Oracle provides the information about its products to help customers acquire and organize big data and analyze them alongside customers' existing data to find new insights and make better business decision. Oracle's Big Data platform provides end-to-end solution - all the components the customers need to get real results from their big data initiatives.

Acquire Big Data

Making the most of big data means quickly analyzing a high volume of data generated in many different formats. Oracle offers a range of products for acquiring all your data including:
Oracle NoSQL Database
Oracle Database

Organize Big Data

A big data platform needs to process massive quantities of data in batch and in parallel—filtering, transforming and sorting it before loading it into an enterprise data warehouse. Oracle offers a choice of products for organizing big data including:
Oracle Big Data Appliance
Oracle Data Integrator
Oracle Big Data Connectors

Analyze Big Data

Analyzing big data within the context of all your other enterprise data can reveal new insights that can have a significant impact on your bottom line. Oracle offers a portfolio of tools for statistical and advanced analysis that complement Oracle Exadata, including:
Oracle Advanced Analytics
Oracle Exadata Database Machine
Oracle Data Warehousing
Oracle Exalytics In-Memory Machine

You can watch the Oracle Bigdata Videos on YouTube:

Also, you can read this Oracle White Paper - Oracle Information Architecture: An Architect's Guide to Big Data.