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Improving customer experience with business process monitoring

Dynatrace

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

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2023 Black Friday and Cyber Monday retail and e-commerce IT performance observations

Dynatrace

Over the years, I have watched and written about online retail and e-commerce IT performance. What I have seen is a maturing of the online retail channels when it comes to delivering customer experiences. This year we saw few, if any, major issues with online retailers. This is where many retailers have matured over the years.

Retail 221
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

What stands out as an imperative now is the urgent need for vendors to shift their focus back to customers and resist the temptation to capitalize on the growing demand for extensive data management and monitoring in complex IT environments. In contrast, answer-centric pricing simply charges customers when they query data. A prominent U.S.

Retail 237
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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? Primary digital experience monitoring tools.

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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. The key challenges include: Business data is often difficult to access, resulting in fragile data pipelines.

Database 226
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Traditional monitoring provides correlations between events, but causal AI goes further by inferring the probabilistic causal relationships between them. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations.

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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. Peak performance analysis. Indexing also requires an educated guess as to which data is needed for future analysis.

Analytics 214