Big Data. Big Decisions
InformationWeek
Special Coverage Series


Federal Agencies Build A Business Case For The Cloud

More than half of federal agencies are saving money with cloud computing, our annual survey finds. But security, compatibility, and skills present huge challenges.

InformationWeek Government - October 8, 2012
InformationWeek Green
Download the entire October 2012 issue of InformationWeek Government, distributed in an all-digital format as part of our Green Initiative
(Registration required.)

Cloud Business Case

The Office of Management and Budget introduced the Federal Cloud Computing Strategy in February 2011, putting federal agencies at the beginning of the cloud adoption curve. Since then, federal IT teams have been evaluating, planning, and implementing cloud services, an exercise that by every indication will be an essential part of the IT planning process for years to come.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

This article analyzes the state of cloud computing in federal government with new, exclusive data collected by InformationWeek Government. Our third annual Federal Cloud Computing Survey, conducted in September, was completed by 103 federal IT pros.

The question isn't so much whether there's been progress, but how much. Are government organizations moving past early-bird projects and turning to the cloud as their first choice when looking to meet new IT requirements? Which issues stand in the way of cloud deployment? Do agencies want private or public clouds?

Our survey shows that a sizable majority of respondents have work under way or plans to advance their agencies' cloud strategies. More than half of these agencies have identified use cases for cloud services, and 46% have evaluated cloud products and services. Fifty percent of all respondents say their agencies are moving ahead with cloud adoption or are in the early stages of doing so; last year that percentage was 40%.

Of those agencies using or assessing cloud services, 18% are using public clouds and 14% are using private clouds. But demand is building for private clouds, with 39% of these respondents indicating they're highly likely to adopt them.

Lowering the cost of IT operations and reducing investment in servers and data center equipment are important to respondents, cited by 54% and 51%, respectively. Fifty-one percent say their organizations have performed cost analyses and determined that the cloud offers some level of savings.

Security remains the biggest concern. No surprise there. The Federal Risk and Authorization Management Program, which went into effect in June, is intended to bring a higher level of confidence in the cloud by standardizing the security assessment of vendors' facilities and services. According to our survey, however, FedRAMP hasn't yet had a big impact. Only 11% of survey respondents have begun using the General Services Administration-managed FedRAMP process.

Other obstacles include lack of cloud expertise and experience (31%), evolving standards (29%), and lack of a governance framework (24%). In other words, there's still much to do before cloud computing becomes as easy as it sounds for government agencies.

To read the rest of the article,
Download the October 2012 issue of InformationWeek Government

Our full report on the Federal Cloud Computing Survey is available free with registration.

It includes 27 pages of action-oriented analysis. What you'll find:
  • Exclusive data on agencies' cloud adoption and planning
  • The latest on public private, and shared clouds
  • Business-case analysis
Get This And All Our Reports




Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.