Informatica Unveils 2021 State of the CDO Study

Rhea-AI Summary

Informatica (NYSE: INFA) released findings from its 2021 Global CDO Survey, highlighting challenges in data management as companies face fragmentation and complexity. Nearly 80% of organizations have over half their data in hybrid and multi-cloud infrastructures, with 37% of data leaders struggling with data complexity. The survey reveals that organizations with higher data maturity generate 250% more business value. Successful firms operationalize AI for data management, while 75% lack a complete architecture for end-to-end data activities. The report emphasizes the significance of integrated data management for digital transformation.

Positive

• Organizations with high data maturity generate 250% more business value.
• Operationalizing AI improves data management efficiency, with mature organizations 3X better at automation.

Negative

• 37% of data leaders spend most of their time on data complexity, limiting innovation.
• 75% of organizations lack a complete architecture for end-to-end data management.

REDWOOD CITY, Calif., Dec. 9, 2021 /PRNewswire/ -- Informatica (NYSE: INFA), an enterprise cloud data management leader, today announced the findings from the second annual IDC Global Survey of the Office of the Chief Data Officer (CDO), published in the IDC InfoBrief, "Driving Business Value from Data in the Face of Fragmentation and Complexity", sponsored by Informatica, examining the CDO's challenges, priorities and key performance indicators while stewarding enterprises to success in a digital-first world.

"Data is the lifeblood of digital transformation and how well you manage it impacts your business success in a digital-first world," said Stewart Bond, IDC Research Director. "The survey shows organizations with higher data maturity are better at using cloud and AI to address the primary challenge of fragmentation and complexity and generate higher levels of business value with their data. Organizations seeking to become digital leaders should place a strong focus on data leadership."

"The changemakers of tomorrow in digital transformation will have to be move beyond just data integration to data intelligence but 37% of data leaders are spending most of their time grappling with data complexity as opposed to driving true transformation with data," said Jitesh Ghai, Chief Product Officer, Informatica. "This year's annual CDO study reveals that data fragmentation will be the biggest barrier facing data leaders next year and the key characteristics of those leading data-led transformations and achieving business value versus those that are still struggling to make sense of all of their data."

Three key themes from the 2021 Global CDO study include:

Data Fragmentation and Complexity Distract from Innovation
Enterprise infrastructure will be cloud-first and multi-hybrid for many years, with systems spread across on-premise and multi-cloud environments. The findings showed that:

• Nearly 80% of organizations surveyed store more than half of their data in hybrid and multi-cloud infrastructures.
• 79% of organizations are using more than 100 data sources, with 30% using more than 1000 sources.
• 37% of data leaders are barely keeping the lights on when it comes to data management as opposed to driving strategy or innovation with data

But it is this fragmentation, with data spread across multiple sources and many clouds that is making it much more difficult to discover, manage and derive intelligence from their data. Highlighting the chasm in delivering business value between data leaders and laggards, the study found that enterprises with a high level of data maturity generate 250% more business value than those only beginning their data-led transformations, where most of the time in data management is spent keeping the lights on.

Operationalizing AI to Automate Data Management is Critical to Success
Only AI can deliver the speed and scalability demanded by modern enterprises and the study found that data mature organizations were 3X times better at operationalizing AI to automate data management activities than their less mature peers.

• Innovation with data starts with enabling access, yet only 31% of organizations provide AI-powered self-service access to all the data needed by different teams
• Organizations in APAC lead the way with 37% automating data management across the business.
• North American organizations follow closely behind with 33% and EMEA businesses slower to adopt automation with only 25% deploying it in all areas of the organization.

Data leaders were also seen to be leveraging AI driven insights and process optimization to improve efficiency as well as the availability and use of data to users within the business.

Cloud-centric models and integrated data management approaches

The study highlighted how critical data management is to digital transformation, noting that organizations with strong data leadership are three times more likely to be well underway with digital transformation. With cloud central to that, migrating to the cloud was a primary objective for 34% of respondents.

• Over the past year most organizations increased the data functionality hosted in the cloud by 10-20%. However, a quarter of EMEA and North America enterprises saw a 30% uptick.
• This momentum is set to continue with 30% of organizations noting that migrating data management functions to the cloud is a priority.
• 75% of organizations do not yet have a complete architecture in place to manage an end-to-end set of data activities including integration, access, governance and protection.

The way organizations resolve fragmentation and complexity issues separates leaders from laggards, with leaders adopting an integrated approach to data management with standardization and automation as core facets.

The IDC InfoBrief, sponsored by Informatica, "Driving Business Value from Data in the Face of Fragmentation and Complexity," (Doc#US48293521, November 2021) surveyed 899 members of the office of the CDO, across ten countries including Australia, France, Germany, Japan, U.K., and the U.S. To download a copy of the IDC InfoBrief, visit www.informatica.com/2021CDOStudy.

About Informatica
Informatica (NYSE:INFA), an Enterprise Cloud Data Management leader, empowers businesses to realize the transformative power of data. We have pioneered a new category of software, the Informatica Intelligent Data Management Cloud (IDMC), powered by AI and a cloud-first, cloud-native, end-to-end data management platform that connects, manages, and unifies data across any multi-cloud, hybrid system, empowering enterprises to modernize and advance their data strategies. Customers in more than 100 countries and 84 of the Fortune 100 rely on Informatica to drive data-led digital transformation.

The information provided herein is subject to change without notice. In addition, the development, release and timing of any product or functionality described today remain at the sole discretion of Informatica and should not be relied upon in making a purchasing decision, nor as a representation, warranty, or commitment to deliver specific products or functionality in the future.

Contact:	Informatica Public Relations
	prteam@informatica.com

 

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SOURCE Informatica

FAQ

What were the key findings of the 2021 CDO Survey by Informatica?

The survey highlights data fragmentation as a major barrier and indicates that organizations with higher data maturity create 250% more business value.

How does data maturity impact business value according to Informatica's report?

Organizations with higher data maturity generate 250% more business value compared to those just starting data-led transformations.

What percentage of organizations are using hybrid and multi-cloud infrastructures?

Nearly 80% of organizations store more than half of their data in hybrid and multi-cloud infrastructures.

How effective are organizations at operationalizing AI for data management?

The study found that data mature organizations are 3X better at operationalizing AI for data management activities.

What challenges do data leaders face according to Informatica's survey?

37% of data leaders struggle with data complexity, hindering their ability to drive innovation.