San Francisco – Nov 7, 2018 – Datometry, the leader in data warehouse virtualization, announces the release of a co-sponsored TDWI research report, titled, Multiplatform Data Architectures: Addressing Complex Modern Requirements for Hybrid Data and Its Business Use. This report aims to “educate technical and business professionals about new business intelligence technologies, concepts, or approaches that address a significant problem or issue.”
As per Philip Russom, Senior Director of TDWI Research for data management and author of the report: “For organizations embracing a multiplatform data architecture (MDA), its complexity is challenging to design, maintain, govern, and integrate with other systems. Yet, users succeed with MDAs by relying on best practices in data architecture and data governance, plus technologies that stitch together the grand design and make it high performance, namely data integration and application integration, central metadata and cataloging, and virtualization techniques.”
Key findings of the research study include:
- 80% of IT leaders found an MDA is more opportunity than problem
- 83% of IT leaders said MDAs are critical to their data strategy
- 57% of IT leaders have already experienced improved business outcomes because of their MDAs
Commenting on the research, Mike Waas, Founder & CEO of Datometry, said, “I am very excited about the findings in this report. It confirms the opportunities and challenges that our Fortune 500 customers are facing in adopting cloud-first Business Intelligence technologies. Smart IT leaders can use Datometry technology strategically to rapidly advance both the competitive posture of their enterprise as well as their own careers.”
Deepak Patel, Head of Products at Datometry, adds “Our products have come to market at a very key moment for enterprises as they attempt to extract value from the enormous amounts of data now available to enterprises. The advantage of the Datometry virtualization platform is that it provides a quick and risk-free replatforming to the cloud. Customers benefit from mission-critical applications becoming database, schema, and cloud agnostic.”
The report can be downloaded here: Multiplatform Data Architectures.
Datometry (https://datometry.com) is the data virtualization platform for the cloud. Its technology brings unprecedented simplicity to enterprises that want the benefits of modern cloud databases without the complexity of reinventing existing applications and business processes. Powered by Datometry Adaptive Data Virtualization™ technology, the company’s SaaS offerings include: Datometry Hyper-Q™, the flagship product enabling replatforming of existing applications on any cloud database in real-time; Datometry qInsight™, the only product in the market to provide unprecedented insights into data warehouse workloads; and, Datometry qShift™ automating the generation of optimized destination data warehouse schema.
Datometry is headquartered in San Francisco, California
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