3-1

Operational Intelligence & Machine Data

Operational intelligence (OI) is a category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. Operational Intelligence solutions run queries against streaming data feeds and event data to deliver real-time analytic results as operational instructions. Operational Intelligence provides organizations the ability to make decisions and immediately act on these analytic insights, through manual or automated actions.

Purpose

The purpose of OI is to monitor business activities and identify and detect situations relating to inefficiencies, opportunities, and threats and provide operational solutions. Some definitions define operational intelligence an event-centric approach to delivering information that empowers people to make better decisions.

In addition, these metrics act as the starting point for further analysis (drilling down into details, performing root cause analysis — tying anomalies to specific transactions and of the business activity).

Sophisticated OI systems also provide the ability to associate metadata with metrics, process steps, channels, etc. With this, it becomes easy to get related information, e.g., “retrieve the contact information of the person that manages the application that executed the step in the business transaction that took 60% more time than the norm,” or “view the acceptance/rejection trend for the customer who was denied approval in this transaction,” or “Launch the application that this process step interacted with.”

 


Features

Different operational intelligence solutions may use many different technologies and be implemented in different ways. This section lists the common features of an operational intelligence solution:

  • Real-time monitoring
  • Real-time situation detection
  • Real-time dashboards for different user roles
  • Correlation of events
  • Industry-specific dashboards
  • Multidimensional analysis
  • Root cause analysis
  • Time Series and trend analysis

Big Data Analytics: Operational Intelligence is well suited to address the inherent challenges of Big Data. Operational Intelligence continuously monitors and analyzes the variety of high velocity, high volume Big Data sources. Often performed in memory, OI platforms and solutions then present the incremental calculations and changes, in real-time, to the end-user.

Operational Intelligence gives you a real-time understanding of what’s happening across your IT systems and technology infrastructure so you can make informed decisions.

What's Different About Machine Data?

Machine-generated data is one of the fastest growing and complex areas of big data. It’s also one of the most valuable, containing a definitive record of all user transactions, customer behavior, machine behavior, security threats, fraudulent activity and more. Splunk turns machine data into valuable insights no matter what business you’re in. It’s what we call Operational Intelligence.

All websites, communications, networking and complex IT infrastructures generate massive streams of machine data every second of every day, in an array of unpredictable formats that are difficult to process and analyze by traditional methods or in a timely manner.

This machine-generated data holds critical information on user behavior, security risks, capacity consumption, service levels, fraudulent activity, customer experience and much more. That’s why it’s the fastest growing, most complex and valuable segment of big data.