More BIG Data
Not Just a Buzz Word for CIOs
What do CIOs do with Big/Machine Data?
In 2010, most of us were deleting machine log data from our systems as soon as it was clear that processes had survived the night – very frequently this data was being tossed in the trash daily. Now a short four years later, we’ve all learned that there is information in that data, and that by saving it and using search and analytics to mine it, an amazing number of things are possible.
As CIO at Splunk (a rapidly growing company that makes a platform aiming to make machine data available, usable and valuable for everyone) the first example I saw of the use of the the solution within company itself was related to their go-to-market model. Splunk had and has a “free-mium” model where customer and prospects can download Splunk software to their PC/Mac or host, then run machine data into it to search or analyze the data. We were “splunking” those downloads – for example taking the Apache web log from the Splunk web site, contact feeds from our CRM system, Salesforce, for a lookup table, and communications back to our site which come back from Splunk itself once up and running. With just these three types of machine data records, one being a “lookup” table to enrich the data, we were able to produce an amazing array of analytics and reporting used by IT, product management, marketing, and the others in measuring the download experience, uptime, and capacity, but also the actual sales pipeline, and understanding the company’s prospects.
Downloaded Experiences – Visualized
Since IT was responsible for making sure that the free Splunk software download function was operating properly, we were interested in the download experience – things like average minutes per download, and how that differed by platform.
We also liked seeing activity via geo-mapping, and other dashboard visualizations, as shown below:
Downloads by CRM Region
Real-time Data – Driving Business Excellence
Over the years the use of Splunk internally was expanded to address needs for both IT and business constituents providing customer insight, protecting against intrusion and malware, enhancing operations effectiveness, and other uses, falling into these categories:
Monitor and manage infrastructure – capacity, uptime, project delivery
Deliver application management – health of business apps, usage statistics, even some missing reporting
Provide analytics on security posture – identify and eradicate malware, APT’s (advanced persistent threats), and other threats
Provide business analytics – most of these derived by departments – people in sales, marketing, and engineering analyzing business trends, product delivery, customer support and more
Internet of Things – we even “splunked” our headquarters building to review temperature and C02 levels
These examples roughly match the broad spectrum of what can be done when ingesting and analyzing machine data in real time. Stay tuned for more examples in posts to come. Now with StrataFusion, I will be consulting and teaching more on these topics!