Asurion

Enabling Companies to Maximize Cloud ROICompanies are rapidly adopting cloud technologies to gain greater agility and scalability. However, though cloud technologies surmount many challenges, they can also present a few of their own. Data virtualization is a technology that overcomes each of these challenges, enabling companies to gain the maximum benefits from cloud initiatives.Download this solution brief to learn more about the following:

Digital transformation and the insurance industry - taking customer connection to a new level.Digital transformation is affecting all industries, and Forrester observes that it is profoundly affecting the insurance industry, saying that “digital insurance strategy leaders must reinvent their companies to become fundamentally digital, from underwriting through to claims settlement.”Download this solution brief to learn more about the following:

In this interview Larry Dawson, Enterprise Architect at Asurion, discusses how they used data virtualization to gain agility in their organization.Visit the Denodo DataFest 2016 page for details on all the sessions.

Companies should be gearing up for May 25, 2018 when the General Data Protection Regulation (GDPR) comes into effect. GDPR will affect how businesses that serve the European Union collect, use and transfer data, forcing them to provide specific reasons and need for the personal data they gather and prove their compliance with the principles established by the regulation.  The regulation is already creating many challenges for companies, including:

How Asurion were able to engage in predictive analytics with data scattered across text, voice, streaming data, third-party data, and various other structured, unstructured, and telemetry based sources.

Leverage Data Virtualization to Manage Data Access from a Single Point.

Security can be a key concern when data is spread across multiple systems residing both on-premise and on the cloud. Asurion has leveraged data virtualization to use it as a single engine for security control over the data sources.