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CA Technologies Introduces CA App Experience Analytics

Delivering Intuitive Visualizations into Digital User Experience to Optimize Customer Interactions Through Real User Behavior Insights

CA Technologies announced the availability of CA App Experience Analytics, a new SaaS solution that enables organizations to deliver a premium customer experience across the increasing number of digital channels used by today’s consumers.

For application owners responsible for digital initiatives, CA App Experience Analytics provides application performance, crash analytics and usage analytics for Web, mobile, and wearable apps.

“The ultimate goal of a multichannel digital experience strategy is to provide customers with a flawless user experience from every channel that they use to engage with a brand,” said Ali Siddiqui, GM, Agile Operations, CA Technologies. “CA App Experience Analytics provides intuitive visualizations into the digital user experience giving decision makers real-time actionable insight into buying trends, retention rates, and conversions—enabling them to identify adjustments to apps that can help them retain and attract new customers.”

Built on an open, flexible, web scale analytics platform that uniquely combines user behavior with operational performance, CA App Experience Analytics helps organizations speed triage of application performance via a single easy-to-use console. The solution’s heat maps, app flows and crash analytics provide an easy way to quickly understand if poor user experience is the result of application design, code or an infrastructure element. Additionally, key usage analytics provided by CA App Experience Analytics help organizations gain deeper insight into user behavior so they can better understand the buyer’s journey across the wide range of digital devices used by consumers.

To further support digital transformation efforts, CA App Experience Analytics allows business analysts and DevOps teams to quickly understand complex sets of data through powerful customizable dashboards.

With CA App Experience Analytics you can:

- View user experience and performance data from web, mobile and wearables with easy intuitive dashboards.

- Quickly get started with “Blueprints” out-of-the-box templates that are easily customizable to fit any business need.

- Understand the entire digital user experience with dynamic contextual dashboards that show usage, buyer journey, experience and performance.

A free 30 day hosted trial of CA App Experience Analytics that takes five steps and less than five minutes to implement is available. Alternatively, a test drive allows users to explore a CA App Experience Analytics environment, complete with all the app performance, crash and usage analytics you’d gather from a real-world installation.

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CA Technologies Introduces CA App Experience Analytics

Delivering Intuitive Visualizations into Digital User Experience to Optimize Customer Interactions Through Real User Behavior Insights

CA Technologies announced the availability of CA App Experience Analytics, a new SaaS solution that enables organizations to deliver a premium customer experience across the increasing number of digital channels used by today’s consumers.

For application owners responsible for digital initiatives, CA App Experience Analytics provides application performance, crash analytics and usage analytics for Web, mobile, and wearable apps.

“The ultimate goal of a multichannel digital experience strategy is to provide customers with a flawless user experience from every channel that they use to engage with a brand,” said Ali Siddiqui, GM, Agile Operations, CA Technologies. “CA App Experience Analytics provides intuitive visualizations into the digital user experience giving decision makers real-time actionable insight into buying trends, retention rates, and conversions—enabling them to identify adjustments to apps that can help them retain and attract new customers.”

Built on an open, flexible, web scale analytics platform that uniquely combines user behavior with operational performance, CA App Experience Analytics helps organizations speed triage of application performance via a single easy-to-use console. The solution’s heat maps, app flows and crash analytics provide an easy way to quickly understand if poor user experience is the result of application design, code or an infrastructure element. Additionally, key usage analytics provided by CA App Experience Analytics help organizations gain deeper insight into user behavior so they can better understand the buyer’s journey across the wide range of digital devices used by consumers.

To further support digital transformation efforts, CA App Experience Analytics allows business analysts and DevOps teams to quickly understand complex sets of data through powerful customizable dashboards.

With CA App Experience Analytics you can:

- View user experience and performance data from web, mobile and wearables with easy intuitive dashboards.

- Quickly get started with “Blueprints” out-of-the-box templates that are easily customizable to fit any business need.

- Understand the entire digital user experience with dynamic contextual dashboards that show usage, buyer journey, experience and performance.

A free 30 day hosted trial of CA App Experience Analytics that takes five steps and less than five minutes to implement is available. Alternatively, a test drive allows users to explore a CA App Experience Analytics environment, complete with all the app performance, crash and usage analytics you’d gather from a real-world installation.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...