Dynatrace Unveils Data Observability for its Analytics and Automation Platform
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Insights
The introduction of Dynatrace Data Observability represents a strategic enhancement to the company's unified observability and security platform. This development is noteworthy for investors as it could potentially increase the platform's competitiveness in the market. By integrating AI-powered data observability capabilities, Dynatrace aims to improve the reliability and accuracy of business analytics and automation, which are critical components for enterprise customers.
From a market perspective, the emphasis on data quality and the ability to reduce the need for additional data cleansing tools could lead to cost savings for Dynatrace's clients. This enhancement may drive customer retention and attract new clients seeking efficient data management solutions, potentially leading to an increase in Dynatrace's market share and revenue growth.
Moreover, the mention of the company's alignment with open source standards such as OpenTelemetry and its flexibility in integrating with custom data sources might appeal to organizations looking for versatile and adaptable platforms. This flexibility can be a differentiator in a market where interoperability and customization are increasingly valued.
The announcement of Dynatrace Data Observability could have implications for the company's financial performance. The ability to ensure high-quality data is likely to enhance customer satisfaction and reduce churn, which in turn could lead to stable recurring revenue streams for Dynatrace. The reduction in the need for external data cleansing tools could also result in a lower total cost of ownership (TCO) for clients, making Dynatrace's offerings more attractive from a cost-benefit standpoint.
Investors should monitor the adoption rate of this new capability among existing and new customers, as it will be indicative of the feature's impact on the company's financial health. Additionally, the company's guidance on revenue and earnings may need to be revisited once the feature is fully deployed and its market uptake can be assessed.
The technological advancements in Dynatrace's AI engine, Davis, are significant. The integration of predictive, causal and generative AI capabilities within Dynatrace Data Observability is poised to enhance the platform's ability to identify and resolve data issues proactively. This proactive stance on data health is critical in modern cloud ecosystems, where the volume and complexity of data can be overwhelming.
For organizations, the benefits of such advancements include improved data availability, reliability and quality, which are essential for informed decision-making and efficient operations. The focus on data freshness, volume, distribution, schema, lineage and availability aligns with the growing need for robust data governance in an era of stringent regulatory requirements and data-driven business models.
Davis AI helps ensure all data in the Dynatrace platform is reliable and accurate for business analytics, smart cloud orchestration, and reliable automation
(Graphic: Business Wire)
Dynatrace Data Observability enables business analytics, data science, DevOps, SRE, security, and other teams to help ensure all data in the Dynatrace® platform is high quality. This complements the platform’s existing data cleansing and enrichment capabilities provided by Dynatrace OneAgent® to help ensure high quality for data collected via other external sources, including open source standards, such as OpenTelemetry, and custom instrumentation, such as logs and Dynatrace APIs. It enables teams to track the freshness, volume, distribution, schema, lineage, and availability of these externally sourced data, thereby reducing or eliminating the need for additional data cleansing tools.
“Dynatrace, with its OneAgent technology, provides us with a high level of confidence that the data powering our analytics and automation is healthy. The platform is also very flexible, which enables us to tap into custom data sources and open standards, like OpenTelemetry,” said Kulvir Gahunia, Director, Site Reliability Office at TELUS. “New Dynatrace data observability capabilities will help ensure the data from these custom sources is also high-quality fuel for our analytics and automation. This will save us from having to cleanse the data manually and reduce the need for additional data cleansing tools.”
High-quality data is critical for organizations that rely on it to inform business and product strategies, optimize and automate processes, and drive continuous improvements. However, the scale and complexity of data from modern cloud ecosystems, combined with the increased use of open source solutions, open APIs, and other customized instrumentation, make it hard to achieve this goal.
By adopting data observability techniques, organizations can improve data availability, reliability, and quality throughout the data lifecycle, from ingestion to analytics and automation. According to Gartner®, “by 2026,
Dynatrace Data Observability works with other core Dynatrace® platform technologies, including Davis hypermodal AI combining predictive, causal, and generative AI capabilities, to provide data-driven teams with the following benefits:
- Freshness: Helps ensure the data used for analytics and automation is up-to-date and timely and alerts to any issues—for example, out-of-stock inventory, changes in product pricing, and timestamp anomalies.
- Volume: Monitors for unexpected increases, decreases, or gaps in data—for example, the number of reported customers using a particular service—which can indicate undetected issues.
- Distribution: Monitors for patterns, deviations, or outliers from the expected way data values are spread in a dataset, which can signal issues in data collection or processing.
- Schema: Tracks data structure and alerts on unexpected changes, such as new or deleted fields, to prevent unexpected outcomes like broken reports and dashboards.
- Lineage: Delivers precise root-cause detail into the origins of data and what services it will impact downstream, helping teams proactively identify and resolve data issues before they impact users or customers.
- Availability: Leverages the Dynatrace platform’s infrastructure observability capabilities to observe digital services’ usage of servers, networking, and storage, alerting on abnormalities such as downtime and latency, to provide a steady flow of data from these sources for healthy analytics and automation.
“Data quality and reliability are vital for organizations to perform, innovate, and comply with industry regulations,” said Bernd Greifeneder, CTO at Dynatrace. “A valuable analytics solution must detect issues in the data that fuels analytics and automation as early as possible. Dynatrace OneAgent has always helped ensure that the data it collects is of the highest quality. By adding data observability capabilities to our unified and open platform, we're enabling our customers to harness the power of data from more sources for more analytics and automation possibilities while maintaining the health of their data, without any extra tools.”
Dynatrace Data Observability is expected to be generally available for all Dynatrace SaaS customers within 90 days of this announcement. Visit the Dynatrace Data Observability blog for more information.
About Dynatrace
Dynatrace (NYSE: DT) exists to make the world’s software work perfectly. Our unified platform combines broad and deep observability and continuous runtime application security with Davis® hypermodal AI to provide answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That’s why the world’s largest organizations trust the Dynatrace® platform to accelerate digital transformation.
Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.
Cautionary Language Concerning Forward-Looking Statements
This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the capabilities of Data Observability, the expected benefits to organizations from using Data Observability, and the timing for when Data Observability is expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Quarterly Report on Form 10-Q filed on November 2, 2023, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.
i Gartner Innovation Insight: Data Observability Enables Proactive Data Quality, 20 July 2023. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the
View source version on businesswire.com: https://www.businesswire.com/news/home/20240131959076/en/
Investor Contact:
Noelle Faris
VP, Investor Relations
Noelle.Faris@dynatrace.com
Media Relations:
Jerome Stewart
VP, Communications
Jerome.Stewart@dynatrace.com
Source: Dynatrace
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