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The IT applications, systems, devices and networks that run your business and that drive customer experience generate data every millisecond of every day. This machine data contains a definitive record of all customer behavior, user transactions, machine behavior, security threats, fraudulent activity and much more.

Conventional business intelligence tools and data warehouses are designed for traditional business data. This data typically conforms to a data model, is structured and is stored in relational databases. Questions you may want to ask need to be understood ahead of time.
Splunk solves a different problem: collecting, indexing, and harnessing the enormous volume of machine data. Splunk has the unique ability to make sense of all types of machine data, structured or unstructured, and mash it up with other traditional business data for complete real-time visibility and operational intelligence.

From customer behaviors and usage statistics to security postures and operational analytics, Splunk has the flexibility to do any type of real-time and historical analysis, and the power to deliver custom views, reports, and dashboards to anyone in your organization.

Splunk Dashboard

Here are just some of the ways Splunk can deliver better visibility and intelligence to you and your organization.

Web Analytics

Once viewed as primarily information of interest to marketing people for periodic trend reporting, data generated by your web-facing properties is proving to be extremely valuable to both IT operations and the business. Splunk requires no instrumentation (adding javascript to webpages) and works as far back as you have logs, enabling you to pivot on the data in any way you want (compared to schema-based approaches), and provides full, audit-able drill-down to the original events. Understand specific custom online shopping patterns, quickly find problems with e-commerce sites, correlate poor customer experience and lost revenue to network latencies, find out why consumers are dropping off the site before revenue-generating advertisements are served. The list goes on. With Splunk, you now have the means to get the answers you need in real time, even for sites generating terabytes of data a day. Learn more about Splunk for Web Intelligence.

Revenue Optimization

Splunk has the unique ability to make sense of all types of machine data and combine it with other traditional business data. The process of correlating online service ussage with revenue and billing information can be complex and tedious. Mediation of data formats from disparate systems whose formats are different can take many months and cost millions of dollars using traditional applications. With Splunk, you can connect new data sources in real time. Splunk has the flexibility to collect and index usage data and correlate this with external corporate data sources in days, so you can gain a real-time view of revenue, usage, trends and patterns of behavior.

Transaction Analysis

A financial trade logically can travel from front to middle to back office to payments in its processing history. All the information about the trade’s activity usually ends up in file after file on different servers. Splunk indexes all this data to enable you to search, report and create dashboards on it from a central console.

Capacity Analysis and Planning

Splunk has a long memory. Transform the exhaust generated by the machines in your IT infrastructure from a waste product into knowledge. Capture billions of events from servers, networks, and devices. Determine utilization and trends. Then make budgetary decisions about the allocation of capital with Splunk summarization, analytics and reporting.

Splunk and Big Data

Large volumes of data from many different sources are challenging to harness with traditional solutions because correlating and mining across many different formats is very difficult when you need to define standard schemas and queries upfront. Splunk makes searching and reporting on Big Data easy. With Splunk, there are no limits to scalability and no rigid schemas to limit flexibility. Index petabytes of data and extract valuable insights from it in real time to get complete pictures of user behavior, customer preferences, asset utilization and more.