Big Data in Action in Financial Services: Correlating Financial Information with Social Media Sentiment

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4 min read

There's one important question on everyone's mind these days: "With all this information at our disposal, how do we leverage it in more strategic ways?"

The most effective way to guarantee high returns on the massive amounts of structured and unstructured information you generate and store is to make sure it is used by and shared with as many stakeholders as possible. By giving your employees—from executives and managers down to the workers on the front lines—the ability to exploit your big data, you can:

  • Facilitate better communication and collaboration among teams, and across departments and business units
  • Enhance and speed up decision making at all levels
  • Uncover new market opportunities (up-sell and cross-sell, competitive trends, etc.)
  • Identify hidden patterns within big data that may indicate problems or issues
  • Eliminate process bottlenecks and increase the efficiency of core business activities

You can also realize even bigger benefits by sharing your big data with stakeholders outside of your organization. Your enterprise data can serve as the foundation for value-added information services for customers, as well as suppliers and other business partners. These types of applications can open new revenue streams, drive acquisition and retention, foster stronger relationships, promote satisfaction and loyalty, and provide an innovative way to differentiate yourself from your competitors.

To help ensure the success of your big data strategy, Information Builders has joined forces with MapR. Our 3i technologies—integration, integrity, and intelligence—are designed to deliver new and exciting insights from your big data by transforming the way your users access, interact with, and consume it. Integration tools rapidly populate the MapR Data Platform with information from any available combination of sources. Integrity solutions promote proactive data quality management through cleansing and enrichment, ensuring that all data is complete, consistent, and correct at all times. And intelligence and analytics enable unhindered information accessibility and usability—even by casual users with little or no technical expertise.

The WebFOCUS platform works seamlessly with the MapR Data Platform to accelerate the creation and implementation of comprehensive and intuitive, yet secure business intelligence (BI) and analytics systems—internally, in the cloud, on smartphones and tablets, or as software-as-a-service (SaaS) applications. With WebFOCUS, the complexity associated with creating enterprise-scale BI and analytic environments is significantly reduced, ensuring rapid deployment, fast time-to-value, and maximum ease-of-use. Your users get rich, compelling visualizations at blistering speed, as well as affordable mission-critical grade data storage, protection, and access.

WebFOCUS lets your users tap into your big data in a variety of ways. They can view it through intuitive dashboards and scorecards, analyze it using interactive InfoApps, have reports or alerts sent directly to them on a scheduled or event-driven basis, retrieve it through their mobile devices, and more. Vital information can even be embedded directly into your existing processes, workflows, and applications to make data an integral part of everyday activities. The result is information whenever and wherever it's needed to boost business performance.

Want to see WebFOCUS and MapR in action? Check out our latest demonstration below. See how data from three publicly traded companies is seamlessly unified with real-time content from Twitter, and made available for analysis. By combining Tweets and sentiment with raw financial information, users can visualize and track important metrics such as trade volume and price.

Visit our web site to learn more about the alliance between Information Builders and MapR, and how together our solutions can help you unleash the potential of your big data.


This blog post was published December 16, 2016.
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