As organizations migrate to Elastic from incumbent vendors, quickly onboarding log data from their current solution into Elastic is one of the first orders of business. Data onboarding often involves having to adjust ingestion architecture and implement configuration changes across data sources. We want to ensure that users trialing or migrating to Elastic can get data in quickly to start seeing the power of Elastic solutions as quickly as possible.
Our Kibana team has been hard at work implementing and executing on a new Kibana strategic vision to streamline the dashboard creation process and sand down the rough edges of creating visualizations for dashboards. We accomplished our goal and reduced the overall time it takes users to go from a blank slate to a meaningful dashboard that conveys insights about the data.
When we hear the term ‘embedded analytics’, most people think of business intelligence. The concept of embedded analytics refers to the integration of analytic content and capabilities within a business process application. The business benefits of embedding analytics into a business process include increased visibility, more effective strategic planning and accelerated time to value.
A modified version of this blog post appeared in the June 2021 issue of Signal magazine. Decisions that need to be made in an instant require answers in real time, but existing big data systems are unable to return queries quickly enough for real-time analytics. And with growing data being queried by more connected users than ever before, it’s getting increasingly challenging to maintain fast reaction times.
