Apteligent announced the general availability of its connector to Adobe Marketing Cloud as well as the forthcoming release of its new, visual dashboard designed to highlight the most important performance, adoption and perception information about your mobile apps.
These new features are the first of several soon-to-be-announced releases that help enterprise digital and mobile teams gain visibility and control of app releases and better understand their mobile customer needs.
“Apteligent Mobile App Intelligence is all about enabling the mobile and digital teams to see and understand their business in context,” said Dave Robbins, CEO of Apteligent. “We are committed to delivering increasing amounts of data for consumption by key mobile stakeholders – from the dev to the product to the digital teams to continuously improve and refine their mobile apps. Using Apteligent, teams can better understand users in the places and moments they use an app, understand how the app performs in its ecosystem, and help prioritize and accelerate new feature development to ensure great micro-moments.”
Apteligent’s new dashboard brings the most relevant pieces of information about a mobile app, (including its app store rating and industry performance benchmarks) to help a mobile PM see their app’s performance issues and help prioritize how best to deploy their development resources.
Using the Apteligent Dashboard mobile PMs can:
- See if app stability (crash rate / error rate) is trending up or down (a leading indicator to potential star-loss.)
- Establish an ideal ‘crash rate’ as the goal for the development team so as to increase competitive position.
- Understand at a glance the impact of app stability on user engagement to know when to focus on new features instead of bug fixes.
Dashboards will be generally available for Apteligent customers the last week of March 2016.
The Latest
As businesses and individuals increasingly seek to leverage artificial intelligence (AI), the cloud has become a critical enabler of AI's transformative power. Cloud platforms allow organizations to seamlessly scale their AI capabilities, hosting complex machine learning (ML) models while providing the flexibility needed to meet evolving business needs ... However, the promise of AI in the cloud brings significant challenges ...
The business case for digital employee experience (DEX) is clear: more than half (55%) of office workers say negative experiences with workplace technology impact their mood/morale and 93% of security professionals say prioritizing DEX has a positive impact on an organization's cybersecurity efforts, according to the 2024 Digital Employee Experience Report: A CIO Call to Action, a new report from Ivanti ...
For IT leaders, a few hurdles stand in the way of AI success. They include concerns over data quality, security and the ability to implement projects. Understanding and addressing these concerns can give organizations a realistic view of where they stand in implementing AI — and balance out a certain level of overconfidence many organizations seem to have — to enable them to make the most of the technology's potential ...
For the last 18 years — through pandemic times, boom times, pullbacks, and more — little has been predictable except one thing: Worldwide cloud spending will be higher this year than last year and a lot higher next year. But as companies spend more, are they spending more intelligently? Just how efficient are our modern SaaS systems? ...
The OpenTelemetry End-User SIG surveyed more than 100 OpenTelemetry users to learn more about their observability journeys and what resources deliver the most value when establishing an observability practice ... Regardless of experience level, there's a clear need for more support and continued education ...
A silo is, by definition, an isolated component of an organization that doesn't interact with those around it in any meaningful way. This is the antithesis of collaboration, but its effects are even more insidious than the shutting down of effective conversation ...
New Relic's 2024 State of Observability for Industrials, Materials, and Manufacturing report outlines the adoption and business value of observability for the industrials, materials, and manufacturing industries ... Here are 8 key takeaways from the report ...
For mission-critical applications, it's often easy to justify an investment in a solution designed to ensure that the application is available no less than 99.99% of the time — easy because the cost to the organization of that app being offline would quickly surpass the cost of a high availability (HA) solution ... But not every application warrants the investment in an HA solution with redundant infrastructure spanning multiple data centers or cloud availability zones ...
The edge brings computing resources and data storage closer to end users, which explains the rapid boom in edge computing, but it also generates a huge amount of data ... 44% of organizations are investing in edge IT to create new customer experiences and improve engagement. To achieve those goals, edge services observability should be a centerpoint of that investment ...
The growing adoption of efficiency-boosting technologies like artificial intelligence (AI) and machine learning (ML) helps counteract staffing shortages, rising labor costs, and talent gaps, while giving employees more time to focus on strategic projects. This trend is especially evident in the government contracting sector, where, according to Deltek's 2024 Clarity Report, 34% of GovCon leaders rank AI and ML in their top three technology investment priorities for 2024, above perennial focus areas like cybersecurity, data management and integration, business automation and cloud infrastructure ...
