Splunk this week added two new products targeting non-technical workers that connect to its core enterprise data platform. One provides access to enterprise dashboards through a number of services, and the other is a data tool for business operations professionals to visualize certain processes.
“Insights and data analysis should be available to everyone, not just those in technical roles,” said Josh Klahr, VP of product management at Splunk. “These products align with our mission to make data more accessible and actionable to a broader set of people.”
The first of the two new products is called Connected Experiences. It includes support for Splunk Cloud Gateway, which is a secure cloud with end-to-end encryption for accessing the various dashboards through multiple Splunk services. These include a mobile service, which provides mobile alerts to users’ systems; a TV service, which is an Apple TV application to view dashboards; and an AR service, which gives access via QR codes and NFC tags to dashboards.
The second product, Business Flow, aims to make it easier to explore certain processes and customer experiences to make data-driven decisions. This will “drive greater operational efficiency, agility, and flexibility,” according to Klahr.
These data driven-decisions are based on the tool’s ability to identify root causes and analyze data.
This can run on as an application on premises on top of Splunk’s Enterprise platform. It mines business processes for data from multiple data systems. This data can then be ingested and indexed into the platform. It can also run on Splunk Cloud.
The company also made updates to inject its artificial intelligence (AI) and machine learning (ML) capabilities in Splunk’s IT operations and security suites. Its IT operations suite simplifies operations using a single data platform for AIops. Updates to the suite include infrastructure and service monitoring, automation, accelerated threat detection, scaled operations, predictive analytics, and incident response.
“We recognize the importance of automation, especially as data sets become increasingly complex,” said Klahr. “Machine learning can bridge the gap between data and human-facing business processes and can drive the outcomes and decisions our customers want to achieve.”