Operations | Monitoring | ITSM | DevOps | Cloud

Elastic Enterprise Search: Next-gen search experiences backed by ML

At ElasticON Global 2021, we shared a future view of Elastic Enterprise Search and how we’re continuing to build next-generation, machine learning-powered search experiences backed by the speed, scale, and relevance of Elasticsearch. We also highlighted the many ways we plan to keep building even more flexibility into our solutions.

Leverage Correlation Analysis to Address the Challenges of Digital Payments

In the first four parts of our series on correlation analysis, we discussed the importance of this capability in root cause analysis in a number of business use cases, and then specifically in the context of promotional marketing, telco and algorithmic trading. In this blog we walk through how to leverage correlation analysis to address the challenges in ensuring a seamless online payment experience by the end-user.

The 3 C's of sales analytics

When I started as a data engineer almost 20 years ago, I designed, developed, and implemented a worldwide sales reporting system for my employer using an enterprise data warehouse. Using analytical packages, my team drove quantifiable sales by transforming the way our company leveraged data. Even at the start of the millennium, it seemed obvious that studying analytics was a game-changer.

Hard-to-find data is a key threat to digital transformation

CIOs can finally claim victory in information hide-and-seek with help of AI-powered search technology Why do companies still struggle to respond to a service complaint, recommend a product, or connect employees with the data they need to make critical decisions? These tasks are critical to retaining customers and engaging workers in a competitive marketplace, yet each relies on finding the right information, and that’s no easy feat.

Transforming customer self-service with User Experience Analytics

We all want fast access to the information we need, when we need it. With a few simple clicks, we expect our questions to be answered and our problems to be solved. We want to be empowered to solve problems on our own, intuitively, and without friction. We expect seamless, quick, and easy self-service. According to a Gartner® report, 85% of customer service interactions will start with self-service by 2022, up from 48% in 2019.1.

TL;DR InfluxDB Tech Tips: Multiple Aggregations with yield() in Flux

The yield() function determines which table inputs should be returned in a Flux script. The yield() function also assigns a name to the output of a Flux query. The name is stored in the default annotation. For example, if we query the following table: Without the yield function: The following Annotated CSV output is returned. Notice the default annotation is set to _results by default. Now if we add the yield() function: The following Annotated CSV output is returned.

The data-driven organization is within reach - if CIOs can tap the power of cloud

Most companies don’t really put their data to work. These strategies can enable IT leaders to maximize value of cloud investments and drive business growth The amount of data businesses store in the cloud is growing 33% per year. Yet more than two-thirds of that information is never used. This failure is undermining CIOs in critical ways.