By banishing “bankers’ hours,” mobile technology has transformed the banking industry. Learn how one New Zealand bank is using digital tools, real-time data and a reimagined strategy to strengthen customer relationships.
Choose a solution that can deliver deep insights into data without reinventing the wheel. Standardization can help you move large quantities of data across multiple systems, allowing you to take advantage of data no matter its source.
What are your big data requirements? Determine which type of Apache Hadoop user you fit most closely. Take a short quiz to see what kind of Hadoop user you likely are and what you likely need from Hadoop to be successful.
When it comes to big data and analytics, you can expect the unexpected. A wide range of companies is applying insights in ways that may surprise you. Here are four examples featuring an unusual mix of companies where the only common denominator is their success with analytics.
Learn how the UNC Health Care System developed an advanced care insights solution to convert unstructured data into useful alerts and reports designed to help physicians and patient care managers enhance patient care while cutting readmission rates.
Your data represents business value that your organization can’t afford to ignore. In this webcast, listen as two chief data officers discuss how you can position the CDO role for success and help your organization provide true value to customers.
Big data and analytics technology is driving business forward, the newest natural resource in the ever-changing world of computing. Yet even in a constantly evolving industry, certain trends stand out. Take a look at what’s on the horizon for big data and analytics, and find out how it could affect
Big data has shown itself to be an illuminating force for sourcing the insight that is powering a tremendous transformation in modern life. To keep pace with the rapid changes, today’s organizations are seeking to improve their capabilities, competencies and culture to turn data into business value
The concluding post in this series looks at the two other strategic pillars necessary to help ensure advanced analytics can guide the way to better decision-making. Using advanced analytics to embrace an agile culture and invest in an ecosystem of talent allows organizations to provide consistent
Thanks to a deluge of sensor data, not only is our ability to forecast the weather more accurate than ever, but this information also can be used in exciting new ways. In this Internet of Things podcast, see how The Weather Company is helping businesses use weather data for competitive advantage.
Advanced analytics can boost organizational decision-making and offer multiple benefits including increased revenue and decreased costs. However, achieving these goals requires an emphasis on three strategic pillars: focusing on business decisions, embracing an agile culture and investing in an
The most efficient way for data scientists to convey vital information is through visualizations—but if they aren’t easily understood, critical insights may become lost. Here’s a quick and handy guide to creating data visualizations that are appropriately detailed to ensure maximum effectiveness.
A document classification model can join together with text analytics to categorize documents dynamically, determining their value and sending them for further processing. Learn how a quick, efficient solution can create business advantage.
Rather than shying away from ever increasing amounts of data, today’s businesses are using data-driven decision-making as a secret weapon. Learn more about why logical data warehouses are the natural next step for the analytics culture.
University of Montana researchers maximized analytics to improve outcomes through highly effective and prompt brain trauma treatment and accelerated experimental research. Analytics also enabled quick identification of patients likely to develop post-traumatic epilepsy.