Splunk is an American software company that allows users to search and analyze real-time data across various sources to generate reports, visualizations, alerts and dashboards. Splunk Enterprise is Splunk's main product that makes it easy to collect, analyze and act on big data from different sources for dashboard creation and searches. The key features of Splunk include interactive searching, subsearching, customizable dashboards, searching by field, and saved searches. Case studies show that Splunk improves operational efficiencies by providing real-time data analytics.

1. Splunk – BI Tool
PRESENTATION

2. An enthusiast who cares about ,
Economic Empowerment, Environment, Science and Technology and Social Services .
Arjun R Nair
Pre-Final year student ,
Computer science Engineering
Amrita school of Engineering, Amritapuri.
Created By,
Domains:
•Object Oriented Programming
•Android app development
•Database Management system
•Business Intelligence.

3. Introduction

4. Splunk
American multinational based software
Co-relates real-time data in a searchable repository.
Can generate graphs , charts , reports, alerts visualizations and
Dashboards.
Product variants - Splunk Enterprise , Splunk Light , Splunk Cloud ,
Hunk(Splunk for Hadoop).
Popular Customers : Sony, Metropcs , Ceryx etc.

5. Splunk Enterprise
Collect
Analyze
Action
Splunk Enterprise makes it easy to
collect , analyze and act upon the
untapped value of the big data
generated among various data sources.
Best for Dashboard Creation and
searches.

6. Implementation – BI Framework

7. Add Data to Splunk Enterprise

8. Key features

9. The key features of Splunk includes…
Interactive Searching
Sub searching
Creative & Effective Dashboards
Search by field
Search saving is possible

10. Screenshot: Searching after adding data.

11. Screenshot: Changing the time range..

12. Dashboard Example

13. Data Point Point
4x
Reference: http://www.splunk.com/en_us/customers/success-stories/cj-o-shopping.html
Case studies shows that Splunk Improves
Operational Efficiencies With Real-Time Data
Analytics . Lots of customer stories are available.

14. THANK YOU!