by clicking on the page. A slider will appear, allowing you to adjust your zoom level. Return to the original size by clicking on the page again.
the page around when zoomed in by dragging it.
the zoom using the slider on the top right.
by clicking on the zoomed-in page.
by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
by clicking on thumbnails to select pages, and then press the print button.
this publication and page.
displays a table of sections with thumbnails and descriptions.
displays thumbnails of every page in the issue. Click on a page to jump.
allows you to browse through every available issue.
GCN : October and November 2016
S-16 Gain Operational Intelligence. Get the Splunk platform through Carahsoft. Learn more at www.carahsoft.com/innovation/splunk-analytics HE SAVED MILLIONS LAST YEAR. HOW? HE’LL NEVER SAY. © 2016 Splunk Inc. Splunk® solutions help organizations turn machine-generated big data into Operational Intelligence—valuable insight that can make them more efficient and secure. Government organizations use Splunk software and cloud services to reduce costs and streamline operations, but only a few of them will talk about it. AD-Splunk-Public-Sector-IT-8x10.75-102.indd 1 9/21/16 9:12 AM A DIGITAL REVOLUTION is under way that is changing every aspect of every mission and agency. It is shifting business models to online and mobile platforms, opening new opportunities while introducing uncertain risks, and making agile and on- demand interactions the new normal. Gaining deep insights into patterns and behaviors — both machine and human— are imperative to navigating this transformation. Technology leaders are looking at the promise of big data and analytics for this purpose with the hope that endeavors in this realm would help them manage risks better, gain enhanced situational awareness, better understand constituent needs, ensure faster resolutions, and even foresee issues and prescribe remediations to ensure mission success. At the core is machine data—the digital ex haust continuously created by all systems, technologies, users, and infrastructure at the center of this digital transformation. Machine data is generated when a security device senses an event, when a citizen accesses a website, when a warfighter uses his mobile device— literally from any digital activity. It has proven to be the most complex, yet most valuable, segment of big data. Turning machine data into Operational Intelligence—real-time insights that provide an understanding of what’s transpiring across an agency, its activities, and the supporting infrastruc- ture— enables informed and confident decisions for traversing this transfor mation successfully. The unprecedented visibility gained when machine data is collected, cor related, enriched, and analyzed has proven to resolve complex and tedious issues across an organization, from security to IT operations to mission challenges. Big data attributes—volume, variety and velocity—require technologies that can match them in terms of scale, ingestion, and agility. Given adaptability as one of its core attributes, machine learning has come to the forefront in facing these challenges and wi nni ng favor as a preferred method. Machine learning can analyze vast amounts of data much faster, helping separate the signal from the noise, leaving the cognitive requirements of inquisition and decision making to humans. The more data it is fed, the more accurate the results. It allows organizations to quickly build models that mimic real-world scenarios and environments, create baselines of normal activities, set dynamic thresholds to account for acceptable variances, and quickly identify anomalies based on situational context. When machine data is enriched with other structured and unstructured information and overlaid with machine learning, organizations can optimize IT operations, enhance security, manage risk, detect and even anticipate incidents, and take action before any adverse impact. The rising proclivity for big data and analytics is driving a panacea on the supply side. While point products may solve niche problems, most of them are not built to account for all the complex attributes of big data. Organizations would be well ser ved in considering a platform approach that is inherently built with these attributes in mind. To derive value across the agency, leaders should ensure that the platform can manage data collection and associated flows, make ingestion easy without requi ri ng explicit normalization, and provide visualizations that will help them make sense of the information quickly in the context of their objectives. Kevin Davis is Vice President of Public Sector for Splunk. KEVIN DAVIS VICE PRESIDENT, PUBLIC SECTOR, SPLUNK TURNING MACHINE DATA INTO OPERATIONAL INTELLIGENCE Machine data is the most valuable segment of big data analytics. SPONSORED CONTENT SPONSORED CONTENT ADVANCED ANALYTICS
August and September 2016
January and February 2017