No one has fully imagined how machine data flows can and will be used.
The first barrier Sullivan pointed to was the very idea of machine data itself.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
It is not just records and columns, but includes raw text, machine data, and more.
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What CITOs have not yet understood is that machine data can be a powerful window on customer behavior.
Capabilities like Splunk and Hadoop and other MapReduce implementations will be employed to distill and summarize machine data.
Sullivan: We have been looking for a way to describe the value that customers get out of machine data.
FORBES: Splunk CEO Godfrey Sullivan's Plans for Breaking Into Business Computing
What do customers get when they ingest their machine data and analyze it?
FORBES: Splunk CEO Godfrey Sullivan's Plans for Breaking Into Business Computing
Splunk is an amazing tool for analyzing machine data that is moving from IT use to providing business insights.
For a call detail record, an event could be the machine data that indicates the beginning of the call.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
How operational intelligence is emerging as a new category of business computing based on the rising impact of machine data?
FORBES: Splunk CEO Godfrey Sullivan's Plans for Breaking Into Business Computing
The way that Splunk organizes machine data is by grouping it into events and then categorizing and summarizing those events.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Based in the cloud, it makes it easy to search across servers, apps and machine data to understand web activity.
Machine data, which is produced by systems about detailed activity in large volumes, is something that CITOs know a lot about.
These challenges are not simple, but to way of my thinking, the value that machine data holds makes them issues worth tackling.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
In a data lake you will find also machine data from server logs, networking equipment, telecommunications equipment, and lots of different kinds of sensors.
As more streams of machine data become available, more activity can and will be tracked, and more potential value can be reaped from such data.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
But a related mission was to find out how best to explain the idea of operational intelligence, the idea of using machine data for business purposes.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
The people who understand the most important questions are not the same people with the skills to determine what answers can be found in machine data.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Most of the time, machine data is an indication of business activity, either customers travelling through a web site, making calls, texting each other, or buying stuff.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Many Splunk clients have discovered that machine data is not just about the break and fix cycle but can also reveal important information about customers and partners.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Current data warehouses are not up to the task of handling the volumes of machine data, aka Big Data, in ways that allow businesses to be responsive.
The broad value of machine data is that it tracks micro activity that can then be used to detect larger trends or to track specific flows of activity.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
The businesspeople who know what questions would be the most valuable to answer have no idea of what machine data is, let alone what it can tell them.
FORBES: Splunk's Godfrey Sullivan on Overcoming Barriers to Operational Intelligence
Woods: Machine data is now being exposed directly to customers.
For example, most organizations have their data in structured relational databases like Oracle, but much of the data generated today is unstructured, high-volume web data or machine data.
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Based in San Francisco, Splunk was created to make machine data accessible to business users in intelligible form without going through the IT shop to get a report.
The data lake has already been proven as a viable approach for business insights Splunk has grown tremendously by placing in the hands of marketers and business analysts the ability to manage and gain insights from machine data and operational intelligence.
The a significant number of organizations could probably make quite a bit of hay from using Splunk, a distributed software for distilling and analyzing machine data that can be applied to data in file systems, in databases, or in Hadoop clusters.
While prior governance and risk control (GRC) systems for IT were essentially large spreadsheets that required a good deal of manual entry, Brinqa actively listens to machine data and other low-level outputs from IT systems, then lets users assign and customize risk indicators for their particular organization.
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Technologies like Splunk were built to help IT staff search and summarize machine data, but with just a small amount of enhancement web server log data can track in real time the flow of customers through pages, the products that are going into shopping carts, and the rate of transactions.
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