Financial Services Industry Solutions
From portfolio management to stress testing to market-risk evaluation, financial services institutions need large amounts of data in order to make smart investment decisions, analyze customers across product lines, and identify new revenue opportunities. Gain a deeper level of analysis by incorporating more than just financial data into your decision-making processes with Karmasphere.Business Challenges
- World events like natural disasters or political uprisings affect investment decisions, but can’t be easily controlled.
- Determining the value of financial tools requires a delicate balance of statistics, opinions, and forecasts.
- Customers are depending on you to make them the most money off their investments, without taking a big risk.
- Finding new sales opportunities means understanding customer behavior across product lines.
Promise of Big Data for Financial Services
Minimize financial risk with intelligent analysis of external events.
- Understand the financial impact of outside forces by aggregating, classifying, and quantifying events.
- Predict risky financial events by running multi-factor risk simulations across past and present events.
Boost the potential value of your financial tools by cross-analyzing press coverage and social media data with financial data.
- Gain a more complete evaluation of a financial asset by correlating past performance with media and analyst evaluations.
- Forecast market prices by combining public opinion with traditional statistical forecasting models like regression analysis.
Uncover hidden opportunities for investment by examining macro-economic data.
- Achieve a richer economic picture by analyzing unstructured data streams from NASDAQ, government data, and trade agreements.
- Make faster, smarter investments by realizing untapped markets.
Discover new revenue opportunities by understanding your customers better.
- Make the most of promotions and product placements by determining which customers are likely to buy.
- Maximize revenue by correlating purchasing patterns with geographic, psychographic, and demographic data, as well as the external political and economic climate.
Financial Services Data Sources
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Macro-economic data
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Natural disaster
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Political data
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Country information
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Social media stream
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Press coverage
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Past financial performance
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3rd party demographic and psychographic data
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Geo-location data
Karmasphere for Financial Services
Karmasphere provides the analytics workspace financial services analysts and business users need to analyze multi-structured Big Data from internal and external sources, create visualizations of the data, and extract valuable insights to share with colleagues and business partners.Analyze a wide variety of Big Data
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Analyze structured, semi-structured and unstructured data.
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Aggregate large volumes of product and usage logs.
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Cross-analyze traditional data sources with new, unfamiliar datasets to gain insights.
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Provide insights to both internal and external constituents.
- Streamline analysis with a self-service data analysis workspace.
Empower internal and external constituents
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Provide product managers with a self-service data analysis workspace.
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Provide marketers with self-service data analysis workspace where they can identify target customers, determine program effectiveness, and predict successful programs.