Iron Mountain announced today that it has acquired privately-held archiving vendor Mimosa Systems. The approximately $112 million deal significantly bolsters Iron Mountain’s archiving portfolio with on-premises software for email, file and SharePoint archiving. With the purchase, Iron Mountain also picks up just over a thousand existing Mimosa customers and a good talent pool with expertise in archiving and eDiscovery.
My preliminary perspective is that this acquisition will entail some near- and mid-term bumps for Iron Mountain customers and prospects, but will ultimately prove positive. The three main reasons:
Message archiving remains critically important. Over the past decade, tens of thousands of organizations have adopted message archiving solutions. An array of vendors, providing archiving offerings for Exchange, Notes Domino, and other messaging systems, have helped these buyers comply with regulations, mitigate legal risk, and improve operational efficiency. While the message archiving market is mature, it’s changing and growing at a rapid clip. Although Mimosa made an impressive initial entry into SharePoint archiving last year, message archiving accounts for most of new customers the vendor signed in the last 12 months. With this acquisition, Iron Mountain demonstrates that it understands how important message archiving is to prospective buyers and its strong intent to capitalize on the opportunity.
Decisions are a very human investment of attention to a problem, and gut feel--the stream of intuition, impulse, memory, and emotion behind all behavior--is the impetus driving every decision that people make
Today Collabnet announced the acquisition of Agile PPM vendor Danube. As an Agile PPM vendor Danube are farmous for their support for Scrum, with their offerings ScrumWorks and ScrumWorks Pro. With this acquisition, Collabnet has taken a significant step in merging the disciplines of Agile project and portfolio management with ALM. Collabnet has traditionally stayed away from supporting any one-process model, describing themselves as process agnostics. This started to change at the end of 2009 with the TeamForge 5.3 release, which provided simple support for Agile projects. Now with the purchase of Danube Collabnet will continue to extend their support for Agile projects. So, why should Application development professionals care?
I am about to set off on a road show around Australia and New Zealand with IBM concerning data growth and data management. I am giving a presentation on data/information governance - which continues to be top of mind for many folks within the IT department - but to date, the data governance efforts of many organisations across the two countries have been pretty limited...
The NoSQL Movement Is Gaining Momentum, But What The Heck Is It?
The NoSQL movement is a combination of an architectural approach for storing data and software products (such as Tokyo Cabinet, CouchDb, Redis) that can store data without using SQL. Thus the term NoSQL.
Just this Tuesday, February 16th 2010, the Bipartisan Policy Center hosted a mock cyber attack called Cyber Shockwave. The aim of this simulation was to understand the impacts of a cyber attack and assess infrastructure capability during such an incident. There are many articles explaining the motive and results of this simulation, and post mortem is still coming as we speak.
So, what did the simulation entail? It depicted a war game taking place in 2011 – basically an application installed on smart phones during ‘March Madness’ thatturned out to be a malware. This hypothetical malware affected telecom and IT infrastructure throughout the country, with the result actually bringing down the nation’s cellular network...but there is more. According to an article from ‘The Atlantic Wire’:
“Later, two bombs disabled the country's electricity network and destroyed gas pipelines... Soon 60 million cellphones were dead. The Internet crashed, finance and commerce collapsed, and most of the nation's electric grid went dark. White House aides discussed putting the Army in American cities.”
I don’t know why, but a financial wrongdoing at an offshore vendor makes big news in the Western world. We saw that happen in instances such as the theft at HSBC’s captive center in Bangalore and the stealing of Citibank’s client account information at Citi’s supplier Mphasis (now part of HP/EDS). The recently reported financial fraud of $4 million at Wipro is the next one that’s making rounds. Frankly, I was surprised when many IT services buyers asked Forrester about this incident and its impact. Here is a snapshot of the story:
I had a few great conversations yesterday about the increasing role analytics will play in risk and compliance programs, which brought to mind the article, For Some Firms, a Case of 'Quadrophobia' appearing earlier this week in the Wall Street Journal and referenced yesterday by the NY Times’ Freakonomics blog.
The article covers a study of quarterly earnings reports over a nearly 30 year period, which found a statistically low number of results ending in four-tenths of a cent. The implication here is that companies fudge their numbers slightly to report earnings ending in five-tenths, which can then be rounded up... clever. Even more interesting, authors of the study found that these “quadrophobes” are “more likely to restate financials and to be named as defendants in SEC Accounting and Auditing Enforcement Releases (AAER)”... not clever.
The report encourages the SEC to enhance its oversight with a new department dedicated solely to detailed quantitative analysis that might catch this type of behavior. It also occurs to me that many corporations would like to identify such trends within their four walls to detect and prevent potentially damaging behavior.
Clearly, the cultural/human aspects of risk management and compliance – policies, attestations, training, awareness, whistleblowing, etc. – are essential. But as the number and complexity of business transactions continue to grow, companies will be looking more and more for ways to analyze massive amounts of data for damaging patterns and trends.