Maximizing the Value of Your IoT Data: How to Utilize Data Virtualization to Provide Value and Context to Your Sensor Data

TDWI Speaker: John L. Myers, Research Director of Enterprise Management Associates

Date: Thursday, December 15, 2016

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

Sensor data from Internet of Things (IoT) devices is becoming more pervasive throughout the world of data management, but it can be both an opportunity and a challenge to existing platforms, integration, and best practices. Your organization needs to understand how its existing integration and data management tools can help with the introduction of sensor data, as well as how business stakeholders, in particular from operations teams, will be using that data to impact revenue and costs. In addition, your organization must enable the speed of performance required in operational and analytics use cases, including productivity to improve organizational performance, process efficiency to streamline company activities, new product development to better meet customer expectations and experiences, new business models for revenue generation and supply chain monitoring, and inventory and cost reduction.

In this webinar, John L. Myers, managing research director of Enterprise Management Associates, and Pablo Alvarez, principal technical account manager of Denodo, will share end-user research and client implementation experience on how to utilize and maximize the value of sensor data in your analytics environment. Attendees will learn:

  • Use cases and trends in IoT implementations
  • The most common data sources to augment cryptic sensor data
  • Which operational and analytical workloads end users are adopting with their IoT sensor data
  • How data virtualization can help with exploratory and operational analytics use cases for IoT
  • Which architectural patterns are using data virtualization in IoT implementations

Philip Russom, Ph.D.

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