How to Scale New Products with a Data Lake on AWS and Qubole

When you need to monitor and control variation in your process, a control chart will help you to separate special causes from common cause variation or random variation. Yet how do todays types of data, including full inspection, impact this tool's effectiveness? The control chart was created in the 1920s, a time when measurement, data capture and calculation were done manually, making sampling essential. Today, how data is collected has all changed.

Data breaches are in the news nearly every day as companies struggle to protect their customers’ greatest assets their personal information. From the theft of credit card information and personal health records to critical business information leakage; the threats are constant. Certainly, firewalls and endpoint protection are critical and necessary, but what about data controls and analytics? In this one hour webinar you will hear the latest on how companies are leveraging end-to-end controls, monitoring an analytics solutions to meet information privacy and security compliance standards. Even better, you will hear directly from Kemper, a leading insurer with $8B in assets, and learn how they are approaching information security risk management.

Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.

Rapid Response Analytics (RRA), an application suite that consists of two elements: curated, modular data kits called DOS™ Marts and Population Builder, a powerful self-service tool that lets any type of user, from physician executive to frontline nurses and population health teams explore their data and quickly build populations without needing to know how to write SQL and data science code. RRA increases an analytics team’s productivity by up to 10x and reduces its time to develop analytics by as much as 90 percent. Analysts can spend more time focusing on key strategic analysis and less time on repetitive tasks that can lead to inconsistent results and a backlog of requests. Learning Objectives: Discover how RRA is like a meal delivery kit that allows you to take components and customize them to quickly tailor and deliver meaningful insights.