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Powers of Ten takes us on an adventure in magnitudes. Starting at a picnic by the lakeside in Chicago, this famous film transports us to the outer edges of the universe. Every ten seconds we view the starting point from ten times farther out until our own galaxy is visible only a s a speck of light among many others. Returning to Earth with breathtaking speed, we move inward- into the hand of the sleeping picnicker- with ten times more magnification every ten seconds. Our journey ends inside a proton of a carbon atom within a DNA molecule in a white blood cell. POWERS OF TEN © 1977 EAMES OFFICE LLC (Available at www.eamesoffice.com)
Visit http://ibmbigdatahub.com for more industry demos. Banks face many challenges as they strive to return to pre-2008 profit margins including reduced interest rates, unstable financial markets, tighter regulations and lower performing assets.
Fortunately, banks taking advantage of big data and analytics can generate new revenue streams. Watch this real-life example of how big data and analytics can improve the overall customer experience.
To learn more about IBM Big Data, visit http://www.ibm.com/big-data/us/en/
To learn more about IBM Analytics, visit http://www.ibm.com/analytics/us/en/
A big data analytics platform is a rich set of tools organizations can use to create new products and services, reshape business models, and discover new investment opportunities.
Profound insight becomes possible when diverse forms of data are combined in novel ways, revealing patterns and correlations in the deluge of data.
Big data analytics is the only tool than can transform every sphere of financial services: customer data monetization, transactions and operations, regulatory reporting, and risk and fraud management.
To learn more, please visit us at www.actian.com
Big Data Technology is uncovering enormous opportunities in the financial services industry, but figuring out how to strategically integrate Big Data in a way that impacts your bottom line can be challenging.
Watch this webinar to discover from leading Big Data experts:
- How Big Data Can Provide a 360 Degree View of the Customer
- Where to Focus Big Data Efforts to Find Untapped Opportunities
- Apache Hadoop's Role in Providing Access to Unstructured Financial and Customer Data
- Big Data Case Study within Financial Organizations
Data Dimensions features leading Capgemini experts each adding their own dimension to the discussion around big data.
Perspectives include defining big data, good governance in a big data world, finding the value behind the big data hype, and what building blocks organizations will need to set in place to make it work for them.
It looks at the people aspects, the skills you need the move towards data driven decision making, digital transformation and the impact on the customer experience.
Big data typically is very specific to industry so although there are common technologies and some common information sets ultimately each industry sector has many different new data sources and different business issues.
Therefore a key part of this series is looking at how big data is affecting sectors and the associated opportunities it presents.
Vaibhav Shringarpure talks about the relevance of big data and analytics in the Financial Services industry.
Big data provides a key role both in addressing the need for greater client intimacy and in the detection of fraud and error.
He explains how Capgemini has been developing solutions around sentiment analysis and next-best-action and how these can give you the edge you need to make informed business decisions and aid customer retention. He also addresses how big data is becoming more important in delivering regulatory compliance.
Want to be a Hadoop Developer? - http://skillspeed.com/course/big-data-and-hadoop/
This is a short video presentation on Applications of Big Data & Hadoop in Finance.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of personalizing experiences. Finance industries use Big Data analytics for recommending investments and stocks, improved compliance and reporting systems, fraud detection, customer segmentation analysis, credit risk assessment 360° customer service
The agenda of the session is as follows
✓ Introduction to BIG Data & Hadoop
✓ BIG Data & Hadoop Use Cases in Finance
✓ Examples – American Express & Citi Bank
✓ Deriving Insights from BIG Data
What is BIG Data & Hadoop?
Big Data refers to the vast amounts of unstructured data generated in today’s internet driven world which cannot be tapped, manipulated and utilized via traditional data harness tools.
Apache Hadoop is an open-source JAVA based framework, which is used to harness & process BIG Data sets. It facilitates distributed parallel processing via cluster nodes to ensure a secure, scalabe & accurate data service solution. The framework consists of Hadoop Distributed File System (HDFS), Hive, Sqoop, Flume, Hbase, Pig, Yarn & ZooKeeper.
This video will decipher Big Data in Finance & Hadoop in Finance.
Examples of BIG Data & Hadoop in Finance
This is an excellent use of BIG Data to ensure customer loyaly & retention. American Express has launched an application which provides its user with exclusive contextual discounts. For example, if they see you’ve been purchasing products on Amazon, they’ll provide you with a personalized offer. Not only this, they also provide discounts based on geographic proximity from relevant retail outlets. This is a win-win situation, customers get a better experience & retailers get more business. This can also compel merchants on other systems to shift to American Express.
CitiBank created an application to generate financial insights for large institutions. This allowed them to present their clients with real-time access to key financial data-points. For example, they can track expenditure-revenue-profit cycles in an instant. Not only this, Citi went one step ahead and integrated predictive analytics into this applications.
Skillspeed is a live e-learning company focusing on high-technology courses. We provide live instructor led training in BIG Data & Hadoop featuring Real-time Projects, 24/7 Lifetime Support & 100% Placement Assistance.
Rick Hyde, CEO of Ticoon Technology, describes three disruptive forces impacting financial services in Canada:
- Big Data and its use by large financial institutions
- Robo-advisors and technology-driven portfolio management
- Disruptive distribution models, such as Google, Facebok and Amazon
For more information on the disruptions facing financial services organizations in Canada, read the blog post and download the white paper at:
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