Data Platforms - Ventana Research

Through 2024, 6 in ten organizations will re-examine their current operational database suppliers with a view to supporting more agile and intelligent operational applications and improving fault tolerance. 

Matt Aslett

VP & Research Director

Supporting transformational business applications

Our expertise comes from our research that is not found anywhere else in the industry. It can help you make data more impactful to your organization. Consider these insights as you look to assess and improve your Operational Data Platform investments.

Definition

Operational Data Platforms are designed to store, manage and process data, to support worker- and customer-facing operational applications across on-premises, hybrid and multi-cloud environments.

Research Fact

Almost one-quarter (22%) of organizations are using NoSQL databases in production today, with a further 21% planning to do so within two years.

Best Practice

Our research shows organizations should consider emerging relational and non-relational (NoSQL) Operational Data Platforms in order to support intelligent applications infused with personalization and AI-driven recommendations.

Our guidance on Operational Data Platforms provides advice on how to embrace technology effectively. If you are ready to learn more on how we can help your big data efforts, check out our research below or reach out to us directly, and get started on your journey to excellence.

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Infographic

DATA GOVERNANCE Doesn’t Have to Be Hard

For years data governance has been challenging for organizations. There have been too many different data-related technologies to manage and too many manual processes involved. As a result, data governance policies were restrictive and interfered with the ability for individuals to work with data.

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Videocast

Key Requirements for Today’s Modern Data Warehous

Operating without data is like driving blindfolded. Organizations today need to rely on data more than at any point in the past. This is because understanding the details of your business operations can mean the difference between success and failure.

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White Paper

Enhance Analytics Performance and Impact in the Cloud

Data is moving to the cloud. As cloud applications have been adopted, this has meant that many critical sources of data for analytics now or soon will live in the cloud. In fact, almost two-thirds (61%) of participants in our research reported that they already use cloud-based business applications as a source of data in their analytics, and the overwhelming majority of organizations (86%) expect that most of their data will eventually be in the cloud.

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White Paper

Avoiding Cloud Data Cost Overruns

The anticipated benefits of cloud computing have encouraged organizations to accelerate adoption of cloud-based applications and services. Data and analytics are no exception, especially as more and more of an organization’s data resides in the cloud.

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White Paper

Decoupling the AI/ML Pipeline for Scale

Artificial intelligence and machine learning (AI/ML) are extremely valuable to organizations. Our research shows that AI/ML help organizations gain a competitive advantage and improve customer experiences, and have a direct impact on the bottom line, increasing sales and lowering costs.

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White Paper

Unlocking the Business Value of the Data Lake

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture.

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Operational Data Platforms

Matt Aslett

Supporting transformational business applications

Definition

Research Fact

Best Practice

How we can help

Education

Assessment

Advisory

Some of our Latest Research

Infographic

DATA GOVERNANCE Doesn’t Have to Be Hard

Videocast

Key Requirements for Today’s Modern Data Warehous

White Paper

Enhance Analytics Performance and Impact in the Cloud

White Paper

Avoiding Cloud Data Cost Overruns

White Paper

Decoupling the AI/ML Pipeline for Scale

White Paper

Unlocking the Business Value of the Data Lake

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