Big Data. Big Decisions
InformationWeek
Special Coverage Series


IBM Launches BPM Express For SMBs

Big Blue's midmarket version of its enterprise Business Process Manager software furthers the company's focus on midsize businesses, as well as IBM's broader strategy in the cloud.

Top 15 Data Visualization Tips
(click image for larger view)
Slideshow: Top 15 Data Visualization Tips
IBM has launched Business Process Manager Express, a version of its comparable enterprise BPM software re-tooled for small and midsize businesses.

The product is among a series of recent or coming moves aimed specifically at the midmarket--which Big Blue defines as companies with between 100 and 1,000 employees--that serve both IBM's broader "flexible deployment" strategy as well as its relatively recent focus on the midsize segment, according to company executives. Flexible deployment refers to IBM's offerings across on-premises, cloud, and software-as-a-service (SaaS) delivery models.

BPM Express, for example, is delivered as on-premises software, but IBM also offers a lower-cost BPM application in the cloud, called Blueworks Live. On the IT management front, IBM recently launched the Service Manager and Applications Manager appliances, both based on Tivoli, but built for the midmarket. It likewise offers Tivoli Live, a SaaS platform for IT service management and monitoring aimed at smaller businesses with minimal IT staff.

"The flexible deployment is part of the overall IBM strategy," said Andy Monshaw, GM of global midmarket at IBM, in an interview. "However, the adoption is stronger up front in midmarket clients because of two basic reasons: One is just simplicity of deployment options. The second, especially when you talk about SaaS and cloud, is access to capital for these companies is still pretty tight."

Simply speaking, business process management (BPM) is a concept aimed at process improvements and optimization across an organization. Midsize firms, particularly those on the larger end of the segment, make an interesting market for BPM: They're large enough to possibly need it, particularly if they're experiencing significant growth and the potential pain points that can come with it. That assumption was confirmed in a recent IBM survey of more than 2,000 midsize firms: Roughly 70% said they had a BPM project underway or one in the works for the coming 12 to 18 months, according to Shaun Jones, IBM's VP of worldwide business partner and midmarket marketing.

"There's definitely a need that our clients are telling us that is emerging in the world of smaller companies," Jones said in an interview. "Every company, regardless of size, needs to understand the way things work in their organization because if you don't, you don't spot opportunities to drive more efficiency, eliminate costs, better use your resources, or spot where you can do better to help your overall growth."

Jones said that BPM tools for midsize companies have been lacking in the past, noting that IBM's own enterprise offerings were not a good option for the midmarket from a cost and complexity perspective. BPM Express is functionally similar to its enterprise counterpart, but with scaled down licenses: two authors and 200 users, versus unlimited with the enterprise version. The company said a typical BPM Express implementation runs around $70,000.

Blueworks Live offers smaller businesses--especially those getting their first formal taste of BPM--a lower-cost entry point. The cloud software runs $50 per editor, per month and $10 per contributor, per month. So a company with two editors and 100 users, for example, would spend $13,200 annually.

The variety of delivery options--and price points--ties directly to IBM's broader strategy, and to its approach to the midmarket. Midsize businesses concerned with short-term cash flow or unsure of how quickly they'll grow are particularly drawn to cloud and SaaS services, Monshaw said. (IBM's makes this distinction between the two: Cloud means multi-tenancy.) "Pay-as-you-use is really attractive to these companies," Monshaw said. "The strategy is not purpose-built for this space, but it has a high degree of affinity with this space."

While IBM's core business certainly remains in the enterprise, it has put increasing focus on smaller customers; it created a separate division focused exclusively on the midmarket segment about 18 months ago. "The reason we chose that market segmentation is there's a high correlation between companies that look like that and the fact that they have small IT staffs," Monshaw said, adding that those IT departments are often consumed with basic functions such as network management and desktop support, relying on outside partners for other needs. As a result, IBM sells to the midmarket strictly through its partner network, which both Monshaw and Jones said is crucial to the company's midmarket business.

"Just because a company is smaller doesn't mean that they have any less sophisticated needs or requirements," Jones said. "You just need to be able to address them in a more consumable fashion."

Monshaw said midsize firms can expect to see more from IBM in the future. "We will roll out significant capabilities around analytics, we will continue to rapidly enhance the offerings from the IBM cloud, and you will see IBM much closer with many announcements connected to the top, say, 500 applications that matter to this client set."



Related Reading


More Insights




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.