Data & Intelligence

A Splunk Decision Support System

A Splunk Decision Support System

The importance of making credible decisions can be the difference between profit or loss, or even survival or extinction.

Decision Support Systems (or DSSs) serve the key decision makers of an organization– helping  them to effectively assess  predictors (which can be rapidly changing and not easily specified in advance) and make the best decisions, reducing risk.

A Splunk Decision Support SystemThe advantages of successfully implemented decision support systems are many, and include:

  • Saving time and increasing productivity
  • Improving efficiency
  • Boosting communications
  • Reducing costs
  • Supporting learning
  • Enhancing control
  • Identifying and understanding trends and/or patterns
  • Gaining operational intelligence (OI)
  • Gauging  results of services by channel or demographic
  • Reconciling fees against actual use
  • Finding the heaviest users (or abusers)
  • And more…

SPLUNK as the DSS

Can Splunk be considered a true real-time decision support system? The answer is of course, “Yes!”

Data Intelligence - The Future of Big Data
The Future of Big Data

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Splunk does this by providing features and functionalities that provide the ability to:

  • answer questions based upon both structured and unstructured data,
  • support managers at all levels (as well as individuals and groups),
  • be adaptable, flexible, interactive and easy to learn and use,
  • provide efficient and quick responses,
  • allow scheduled-control of developed processes,
  • support easy development by all levels of end users,
  • provide universal access to all types of data,
  • offer both standalone and web-based integrations,
  • connect real-time service data with details about that data collected in an organizations master or other data and
  • More…

Splunk the Product

Splunk runs from both a standard command line or an interface that is totally web-based (which means that no thick client application needs to be installed) and performs large-scale, high-speed indexing on both historical and real-time data.

To index, Splunk does not require a “re-store” of any of the original data, but stores a compressed copy of the original data (along with its indexing information) allowing you to delete or otherwise move (or remove) the original data. Splunk then utilizes this “searchable repository” from which to efficiently graph, report, alert, dashboard and visualize in detail.

It just Works

After installation, Splunk is ready to be used. There are no additional “integration steps” required for Splunk to handle data from particular products. To date, Splunk simply works on almost any kind of data or data source you may have access to but should you actually require some assistance, there is a Splunk professional services team that can answer your questions or even deliver specific integration services.

Wrap-up

The Big Data market as measured by vendor revenue derived from sales of related hardware, software and services reached $18.6 billion in calendar year 2013. That represents a growth rate of 58% over the previous year (according to Wikibon data).

Also (according to Wikibon), Splunk had over $283 million of that “big data revenue” and has an even brighter outlook for this year. More to come for sure…

About the Author

Mr. Miller is an IBM certified and accomplished Senior Project Leader and Application/System Architect-Developer with over 30 years of extensive applications and system design and development experience. His current role is National FPM Practice Leader. His experience includes BI, Web architecture & design, systems analysis, GUI design and testing, Database modeling and systems analysis, design, and development of Client/Server, Web and Mainframe applications and systems utilizing: Applix TM1 (including TM1 rules, TI, TM1Web and Planning Manager), dynaSight - ArcPlan, ASP, DHTML, XML, IIS, MS Visual Basic and VBA, Visual Studio, PERL, Websuite, MS SQL Server, ORACLE, SYBASE SQL Server, etc. His Responsibilities have included all aspects of Windows and SQL solution development and design including: analysis; GUI (and Web site) design; data modeling; table, screen/form and script development; SQL (and remote stored procedures and triggers) development and testing; test preparation and management and training of programming staff. Other experience includes development of ETL infrastructure such as data transfer automation between mainframe (DB2, Lawson, Great Plains, etc.) systems and client/server SQL server and Web based applications and integration of enterprise applications and data sources. In addition, Mr. Miller has acted as Internet Applications Development Manager responsible for the design, development, QA and delivery of multiple Web Sites including online trading applications, warehouse process control and scheduling systems and administrative and control applications. Mr. Miller also was responsible for the design, development and administration of a Web based financial reporting system for a 450 million dollar organization, reporting directly to the CFO and his executive team. Mr. Miller has also been responsible for managing and directing multiple resources in various management roles including project and team leader, lead developer and applications development director. Specialties Include: Cognos/TM1 Design and Development, Cognos Planning, IBM SPSS and Modeler, OLAP, Visual Basic, SQL Server, Forecasting and Planning; International Application Development, Business Intelligence, Project Development. IBM Certified Developer - Cognos TM1 (perfect score 100% on exam) IBM Certified Business Analyst - Cognos TM1

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