Quark, Inc. has been undergoing a major strategic overhaul in the past two years. With its acquisition this month of In.Vision, the leading add-in to Microsoft Word for XML authoring, it appears poised to be taken seriously for enterprises wanting to empower their business units and be able to reuse content dynamically through a variety of channels.
I had a conversation with a client the other day about Blogging at work. The question came up, as it often does, how to ensure that employees blog appropriately at work. We spoke about corporate policies regarding appropriate use of the intranet, discussing if they really make an impact on behavior, or if they only exist as leverage when it comes time to take action.
It occurred to me that there is a simple analogy that all professionals can relate to, which brings clarity to the issue: How do you determine what to wear to work?
At every company I have ever worked in (with the exception of Forrester, ironic), there was an explicit policy about dress code. In some organizations, men are expected to show up in a pressed shirt, perhaps a tie and jacket. In others, the code is more lax, but denim jeans are verboten. Of course, men have it much easier, we have fewer choices and they all work pretty well for us. In my last company, a memo forbidding open-toe shoes angered many women in my team, including my boss, who loved her shoe collection. Why forbid open-toe shoes? Perhaps it could lead to sandals – or, heaven forefend – crocs! Crocs in the workplace – oh my word, that could be terrible!
I'll give you five seconds to recover from your pun-induced groaning [5...4...3...2...1] Now, on to the news: Open Text announced late last week that it has acquired eMotion, a software-as-a-service digital asset management (DAM) product, from Corbis. Open Text plans to rebrand eMotion as Artesia on Demand for Marketing, complementing its full-featured, installed Artesia DAM product.
BI is essentially a set of best practices for building models to answer business questions. However, today's BI best practices may be suboptimal for many enterprises' decision-support requirements.
For most users, BI is a journey that's been modeled and mapped out in advance by others, following a well-marked path through vast data sets. Data models, which must often be pre-built by specialists, generate or shape the design of such key BI artifacts as queries, reports, and dashboards. Essentially, every BI application is some data modeler's prediction of the types of questions that users will want to ask of the underlying data marts. Sometimes, those predictions are little more than an educated guess -- and are not always on the mark.
Earlier this week, if you happened to read any of my research on our site, you might have been scratching your head at my "new" photo, as seen below:
You might have asked yourself, "What has happened to one of my favorite Forrester analysts?" Was it the result of a) a face lift; b) gender reassignment surgery; c) successful prayers to the patron saint of the un-photogenic (when a good friend first saw my original photo last year, she asked in her typical blunt fashion, "Why do you look so puffy and awful?")