I’ve always been intrigued by monitoring the inner workings of technology to better understand its impact on the use cases it enables and supports. Driven by that value, Dynatrace brings real-time observability, security, and business data into context and makes sense of it so our customers can get answers, automate, predict, and prevent.
Executives invest in Dynatrace to enable their IT operations, security, and development teams to maintain visibility into all their digital services and ensure flawless, secure digital interactions.
Executives are sitting on a goldmine of data, and they don’t know it.
A gold mine of answers
What may be a surprise for executives is that Dynatrace unearths a wealth of business insights from observability data. Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Have you already thought about how you could use the data derived from your digital systems to accelerate your business and improve your ability to make decisions with real-time insights?
Executives drive business growth through strategic decisions, relying on data analytics for crucial insights. However, enabling faster and even automated decision-making is challenging due to a lack of real-time data access.
Several factors limit executives’ ability to get timely results for their business:
- Standard business intelligence (BI) systems don’t have access to the inner workings of digital systems, so teams don’t have access to the data they need.
- Different data types are in different silos, even averaged and generalized with lost information without a possibility for analytics in context.
- Common business analytics incur too much latency. There can even be days of reporting intervals, which hinders real-time business insights.
- Lack of visibility into business processes to improve, optimize, and remediate issues and systems harms business success.
- Different departments have different data sources and different ways to interpret data, causing misalignment.
With Dynatrace, executives can unearth a treasure trove of context-rich data that offers unprecedented insight into their business.
Key insights for executives
Dynatrace enables executives to tap into more value with the following capabilities:
- Unmatched access to data through contextual analytics, AI, and a natural language interface.
- All analytics in real-time for faster and truly data-driven business decisions.
- Ground-breaking visibility into the inner workings of digital systems to fix, optimize, and remediate issues and processes.
- A single source of truth for more effective alignment among teams toward critical business goals.
The real-time data in context with AI-driven analysis from Dynatrace provides executives with incomparable value and customer satisfaction to improve their business processes. The following are five examples of many:
- Order to cash processes to ensure timely order processing and revenue recognition.
- Order fulfillment to track the preparation and delivery of goods or services.
- Service provisioning to ensure resources are allocated, configured, and activated properly.
- Trade settlement to track the transfer of securities and funds after a trade is executed.
- Claims processing to ensure timely settlement, from first notice of loss to payment.
Turn business analytics real-time and get answers you couldn’t get before
My core goal was to create new value from automatically captured and enriched observability data and make it more accessible than today’s common BI solutions. That goal also requires eliminating barriers to real-time analytics, such as the many data transformation and preparation steps most that BI solutions need and the need for high-fidelity data in full context so users can find even the unknown unknowns.
Many organizations attempt to apply analytics to available data by making it static through data lakes, rehydrations, schemas, indexing, and warehousing, which seemed backward and complicated to me. This approach creates data silos, drives up costs, complicates contextual analysis, and limits the scope of business analytics.
To achieve my goal with Dynatrace, we had to rethink observability from the ground up. We concluded we needed to build a massively parallel processing data lakehouse at its core, as no existing database solution could overcome those analytics barriers at exabyte scale, especially in the era of AI.
With Dynatrace, we’ve created the only platform that can unify heterogeneous data, including logs, business events, user sessions, metrics, traces, emails, and much more with context and causal dependencies.
Dynatrace treats business processes as observable assets, putting each step in context with business and IT data. This integrated approach fosters mutual understanding and keeps business and technology in close lockstep, empowering everyone to get answers they couldn’t get before.
How executives leverage the newly gained visibility
Executives are change drivers. But change can only be driven with proper visibility and derived conclusions. Therefore, insights into how business growth and customer satisfaction are related to business processes are essential.
Dynatrace business analytics employs a proven combination of three types of AI for analytics: causal, predictive, and generative. Using this hypermodal, “Power of 3” AI approach, teams can predict potential risks and disruptions. And with Dynatrace AutomationEngine, they can take preventive actions and enable intelligent orchestration and automation with business context. This predictive capability is crucial for business resilience as it allows organizations to anticipate challenges and mitigate their impact. Furthermore, by applying Dynatrace AI to historical data, executives can predict future trends and prepare contingency plans.
Only with this visibility is it possible to detect and fix broken processes, reduce and optimize process steps, steer investment priorities, automate and orchestrate, improve performance and user experiences, and ensure reliability and security.
Drive your business goals more effectively with a single source of truth
Organizations often struggle to align toward common goals, as every department measures them differently. What if you could take real-time data from your digital systems, such as consumption, usage, revenue, adoption, success rates, customer satisfaction, and more?
Dynatrace provides a single, real-time source of truth that eases alignment across departments to work toward joint critical business goals. Dashboards, apps, and reports with insights from digital systems originate from the same full-fidelity sources so that Dynatrace business analytics becomes the “lingua franca.” As every department needs to place joint KPIs into its own context, Dynatrace makes it easy to expand, augment, and drill down to specifics. Dynatrace’s ability and ease to get answers to any question at any time is unmatched.
Dynatrace eases and increases data privacy by eliminating many steps in typical ETL (extract, transform, and load) and data warehouse procedures. Dynatrace unifies capture, storage, analytics, and visualization into a single platform that ensures consistent and gapless access to information. Dynatrace also certifies SSO access, encryption, filtering, and obfuscation techniques to meet the highest standards, so departments have access to what they need.
Becoming a data-driven enterprise
Dynatrace business analytics lets you tap incremental value from your observability investments, strengthening executives’ ability to drive businesses and customer satisfaction forward. A clear step towards a more data-driven enterprise, that is more competitive through insights from data of their digital services.
Follow the new “Dynatrace for Executives” blog series. In the coming weeks, I’ll dive deeper into each of the nine executive use case areas to drive innovation, mitigate risk, and optimize cost so you can unlock the potential of your business data using Dynatrace.
Want to learn more about all nine use cases? See the overview on the homepage.