Big Data Industry Insights

Gartner

Discussion Topics: Industry-specific business problems and use cases for big data. Big data challenges faced by different industries. Which industries are investing in big data solutions. The key to getting value from big data is in processing it for insights and improved decision making. This webinar explores how different vertical industries are using big data, the types of data they are leveraging, and the challenges they face.
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Spotlight

Predictive analytics leverage an organization’s business knowledge by applying sophisticated data analysis techniques to enterprise data. As a result, mutual fund companies are able to build optimal strategies for customer acquisition and retention, upsell and cross-sell, fraud detection and performance improvement.


OTHER ON-DEMAND WEBINARS

Has Big Data Taken a Byte out of Your Budget?

BrightTALK

The average enterprise executive invests over $20M per year in Big Data technology. The work required to turn this investment into enterprise value has been arduous and perilous at best. According to Gartner, 60% of Big Data projects fail. Is the answer “throwing more good money after bad”? We don’t think so. In this session, we propose a way to ‘“Re-imagine your Big Data project” and succeed by: Building an enterprise-grade data warehouse in days, not months. Running analytics with best-in-class user experience and performance, at a fraction of the cost. Early deployments of AtScale have shown query speed increase by 10X and query costs reduce by up to 1,000X on top of the savings you’re currently experiencing with BigQuery.

Big Data Security

Informatica

In this video, learn how Informatica’s holistic and risk-centric approach to big data security can help deliver sustainable, repeatable, and pervasive business value.

KNOW WHAT MOTIVATES YOUR CUSTOMERS: RETAIL MODERN DATA ARCHITECTURE WITH HADOOP AND PLATFORA

Hortonworks

Retailers need the complete picture – a 360-degree view of the customer, the pulse on brand sentiment, personalized promotions, and an optimal shopping experience. When Hadoop is integrated with modern retail operations, it dramatically reduces the cost of capturing, ingesting and storing data. By implementing self-service analytics capabilities on top of Hadoop, you can gain drill down into customer data—instantly—to answer learn more about your customers.

Visualization of Data and Models

Anyone who is curious to find the stories hidden in data or wants to explore data and communicate discoveries to others effectively. Anyone who understands the value of modeling to create better products, services and processes...

Spotlight

Predictive analytics leverage an organization’s business knowledge by applying sophisticated data analysis techniques to enterprise data. As a result, mutual fund companies are able to build optimal strategies for customer acquisition and retention, upsell and cross-sell, fraud detection and performance improvement.

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