Today Splunk counts more than 15,000 enterprise clients – including 92 members of the Fortune 100 – that already trust its core data-analytics platform for its ability to make the most of their unstructured machine data. Last quarter alone, Splunk’s new and expanded customers included the likes of Autodesk, Shopify, Take-Two interactive, TD Ameritrade, and Zoom.

Amazingly, Splunk Enterprise can ingest and add structure to any type of IT streaming, machine, or historical data – think data from event logs, network feeds, change-monitoring files, or archived information. So as clients use Splunk to make sense of their seemingly senseless IT data files – and noting Splunk describes its core product as the “Data-to-Everything platform” – their use cases now span everything from streamlining IT initiatives to solidifying cybersecurity efforts, bolstering user-behavior analytics, and improving business operations and development.

Click here for a sampling of exactly how Splunk’s various prominent customers have made use of its agile platform to improve their respective businesses.

What’s more, with the help of a combination of heavy investments in both R&D and acquisitions – the latter notably including Splunk’s purchases of cloud-monitoring specialist SignalFX and observability platform leader Omnition late last year – Splunk is rapidly expanding its reach to cater to data-intensive enterprise customers’ future needs.

In particular, investors should expect to see more solutions from Splunk going forward that take advantage of its novel machine-learning capabilities (via the Splunk Machine Learning Toolkit), new cloud offerings (such as Splunk Remote Work Insights, introduced in March), real-time data-in-transit use cases (i.e. data processed as it travels within and across networks), and ingesting/structuring data pulled from virtually any source rather than primarily IT resources.