Data analytics firm Splunk
has published an in-depth guide on understanding the value of machine data and its
different use cases.
Machine data has been available for decades, but we have only recently started deploying tools that correlate and analyze data. This linking of data provides a business with actionable insights, to improve the customer experience, prevent fraud, and monitor remote equipment health.
SEE ALSO: Splunk Announces Google Cloud Integration
As a provider of the
Data for Everything platform, Splunk is invested in providing these insights to
businesses of all shapes and sizes.
“Machine data is valuable because it contains a definitive record of all the activity and behavior of your customers, users, transactions, applications, servers, networks, and mobile devices,” said Splunk.
“It includes configurations, data from APIs, message queues, change events, the output of diagnostic commands, call detail records, and sensor data from industrial systems, and more.”
The issue for a data analyst is that businesses create too much information to handle. Algorithms need to sift through this overwhelming amount of data to find the nuggets of value.
The guide covers a wide range of use cases, including user data, application data, middleware, networking, operating system, virtual infrastructure, physical infrastructure, IoT, social media, and human resources.
To read the full guide, click this link.
Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
The Center for Adaptive Edge IntelligenceAdaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.Link to The Value of Vehicle Electrification
The Value of Vehicle ElectrificationElectric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoTDigital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.Link to Smart Manufacturing for Automotive
Smart Manufacturing for AutomotiveLeading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.Link to Center for Data Pipeline Automation
Center for Data Pipeline AutomationAs businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.Link to Center for Automated Integration
Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
