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High-Tech

Digital Economy and the High-Tech Industry

Social, mobile, analytics, and cloud are four key areas of focus for the high-tech industry, affecting business models and driving innovation. Companies are using social and mobile channels to increase their customer outreach with minimal effort. They are also reaching out to suppliers and other ecosystem partners through Web and mobile based applications, faster than ever. But with the proliferation of modern technologies, not only structured data but petabytes of unstructured data is getting created everyday through the application of sensors, websites, geospatial technology, mobile, and many new devices. Companies that can seamlessly combine this data are at a tremendous advantage in terms of generating actionable insights to further their business.

Companies that are not putting 80 percent or more of their competitive energy into mobile/social/cloud/big data will be trapped in the legacy portion of the market, growing even slower than global GDP."

According to Frank Gens, senior vice president and chief analyst at IDC.
High-Tech

Challenges in Digital Transformation

While new technologies are a boon for high-tech companies, opening up new communication channels across marketing, sales, and customer outreach, they also cause concern for CIOs who must grapple with data privacy, security, and compliance. Also, though growing volumes of data is being created everyday, many CIOs do not have a clear idea of how to get a holistic view of all their enterprise data across on-premises systems and the cloud, or how to extract meaningful information from this data. Moving it all into one or more physical data warehouses is a solution, but a very expensive one, and one that is not suited for generating real-time insights.

Logical data management is the answer to these challenges. Some of the biggest names in the high-tech industry are leveraging logical data management solutions, like the Denodo Platform, to roll out company-wide product licensing changes, seamlessly operationalizing multiple post-merger entities under the same corporate umbrella, or creating hybrid cloud infrastructures to accelerate the launch of products and services.

Architecture Data Virtualization

High-Tech

The Benefits of Data Virtualization

Faster time-to-market for products and services

Lower TCO with higher ROI

Real-time insights from social, mobile, analytics, and cloud data for blazing fast insights

Overarching security, governance, and compliance across on-premises and cloud sources

Seamless post-merger integration of enterprise data

Denodo Cloud Services

The only pure-play logical data integration, data management, and data delivery platform powered by data virtualization in the cloud.