Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Doug Henschen

Doug Henschen

Executive Editor, InformationWeek

Will Financial Apps Be Next Cloud Growth Story?

Security worries are a major obstacle, but Oracle and SAP see enough potential to provide their own cloud options.

A growing crowd of software-as-a-service vendors is betting that companies are ready to trust their top-secret financial planning, forecasting, and analysis activities to cloud-based software. But can they convince skeptics that it's okay to put sensitive financial data in the cloud?

The good news for vendors like Adaptive Planning, Anaplan, Host Analytics, and Tidemark is that plenty of customers are opening their doors to cloud-based corporate performance management applications (also known as financial performance management). Adaptive Planning, founded in 2003 and the largest of these vendors, has more than 1,200 customers and 30,000 users, and it has seen an average of more than 80% growth in each of the last five years. Host Analytics, founded in 2000 and the second-largest vendor, surpassed 250 customers and 8,000 users last year with more than 100% growth.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Anaplan and Tidemark are among the category upstarts. Anaplan, launched in 2010, is being used by security software vendor McAfee, collaboration software firm Jive, and Internet audio streaming company Pandora. Tidemark launched in 2011 with backing from well-known cloud business backers Greylock Partners and Andressen Horowitz as well as Peoplesoft/Workday co-founder Dave Duffield.

But data-security concerns may prevent the category from growing as quickly as cloud-based human capital management (HCM)--a category now served by Infor with SaaS apps acquired with Lawson, by Oracle with Taleo, Salesforce.com with Rypple, and SAP with SuccessFactors.

[ Want more on corporate performance management? Read Cloud Vendor Brings CFOs Closer To ERP Data. ]

Whether you view them as cloud naysayers or prudent IT managers raising legitimate concerns, half of the respondents to our recent InformationWeek 2012 Regulatory Compliance Survey say they are avoiding SaaS as a matter of policy. Among the 422 respondents, 28% say they'll "never put regulated assets in the cloud" and another 22% say compliance mandates are "the main reason we don't use cloud providers."

But as with other SaaS categories, the ranks of organizations that are willing to move corporate performance management into the cloud have made it a fast-growing market. The mix of capabilities varies from vendor to vendor, but those mentioned above all provide budgeting, planning, forecasting, and reporting. They also provide dashboards that expose key performance metrics, with role-based security and access controls and drill-down data-exploration capabilities. Departmental and line-of-business users help set budgets by developing forecasts within these systems. Collaboration features help managers, executives, and financial types set realistic goals. As sales and revenue data rolls in, users can compare actual results to the performance targets. With feedback throughout a financial period, managers can make adjustments to their business plans to close gaps. Widgets not selling? Push high-profit sprockets to make up the difference.

Higher-level executives check rollups of companywide plans and results. Business analysts, financial analysts, and power users typically handle the what-if forecasting, scenario planning, and root-cause analysis when actual performance doesn't measure up to the goals.

Host Analytics has the deepest financial consolidation, disclosure management, and scorecard functionality of the cloud set, a key reason it's the only SaaS vendor in Gartner's May 2012 Magic Quadrant for Corporate Performance Management Suites (Host offers a free download of that report with required registration).

The cloud-based performance management vendors face formidable competition from on-premises incumbents including IBM Cognos, Infor, Oracle Hyperion, SAP, and SAS. But the IT giants also see an opening in the cloud. Oracle introduced cloud-ready Oracle Fusion Financials late last year and backed it up in June with the formal launch of the Oracle Public Cloud. SAP announced plans for SAP Financials OnDemand at Sapphire and it now says that service, which is based on functionality from SAP Business ByDesign, will be introduced in the fourth quarter .

There are natural ties between general-ledger and transactional-system-of-record capabilities and financial performance management systems, as the latter analyzes data managed within ERP. But the two applications don't have to come from the same vendor. Hyperion's software was (and still is) used by many SAP customers before it was acquired by Oracle. Similarly, IBM Cognos performance management apps show up in plenty of Oracle, SAP, and other ERP deployments.

Adaptive Planning is a partner with NetSuite, complementing that vendor's cloud-based ERP applications. Workday is building out the financial functionality of its cloud-based ERP apps, and with the Duffield tie, it's easy to guess that Tidemark will wind up as a partner.

There also are natural ties between business intelligence systems and performance management apps. IBM Cognos and SAP BusinessObjects, for example, contribute their dashboard and reporting capabilities to their respective financial performance management apps. And both vendors also use in-memory technology (TM1 in the case of IBM Cognos, Hana in the case of SAP) for analytical what-if financial scenario planning.

Both BI and performance management apps are trying to make data easier to analyze and understand. Adaptive Planning, for example, introduced extensive data-visualization upgrades in a July release, matching moves by many BI vendors to make analysis easier with intuitive graphics.

Cloud-based financial performance management apps are used mainly by IT-constrained midsize organizations. They also appeal to some larger organizations that don't want to bother with big IT projects to extend financial management capabilities to subsidiaries and satellite operations.

Even if only about half of all enterprise would currently consider running financial performance management in the cloud, as our research suggest, that still leaves a huge potential market. And with Oracle, SAP and other giants now legitimizing the category, it will only get bigger.



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.