I’ve been writing a lot about text analytics because I think it is a critical technology for deriving insight from unstructured data. Late last summer, Hurwitz & Associates published a report on Text Analytics. As part of our research, we surveyed companies that had deployed this technology, were planning to deploy the technology, or had … Continue reading Hear My Voice!
Late last summer, Hurwitz & Associates published a report on Text Analytics. As part of the report we surveyed companies that had deployed the technology, were planning to deploy the technology, or had no plans to deploy text analytics. We asked companies planning to deploy text analytics solutions whether they planned to integrate it with … Continue reading Text Analytics Meets Enterprise Content Management
I recently had an interesting discussion with Ravi Shankar, Director of Product Marketing at Siperian, about emerging best practices for enterprise-wide MDM initiatives. Siperian provides MDM hubs for large companies across a number of industries. Now, I have noted before that MDM is a complex undertaking that needs to be thought about at a strategic … Continue reading Best Practices on the road to Enterprise-wide MDM
Not everything is easy. I analyzed data for decision-making for many years using advanced techniques such as predictive modeling, machine learning and even influence diagrams. With the rush to pervasive BI we often forget about the need for truly sophisticated analysis to aid in complex decision making. I’m talking about decision support for critical strategic … Continue reading Decisions and Consequences
I was talking to an old friend the other day who is involved in using the results of research to help grow a business. He told me some interesting stories that made me revisit some basic tenets of good analysis. Yes, you may think that some of these are obvious, but they still bear repeating. … Continue reading Seven guiding principles for analyzing data
Robin Bloor and I were briefed by SAS about some of its visualization technologies last week as part of the research we’re undertaking in innovations in BI. SAS has thought a lot about visualization. In fact, the company has an interesting user centric UI model that actually looks at classes of users across various visualization … Continue reading Innovations in Data Visualization – Animation and more
I’ve never been a fan of the data cube. In fact, I’ve always disliked it because it seems so constraining. I don’t want to be chained to a certain thought process when I’m analyzing data. Maybe that’s because I try to use a variety of analytical approaches when gaining insight from data. Recently, Robin Bloor … Continue reading Is This the Death of the Data Cube? (continued)
I was thinking about Master Data Management (MDM) last night. There’s been a lot of hype over the past few years about MDM. At its simplest level, MDM is about handling common data, such as customer or product data, in a way that enables disparate IT systems and business groups to reuse the data. The … Continue reading MDM without boiling the ocean
A wise man once told me, “Look at the data. What are the data telling you?” That was my dissertation advisor, some twenty years ago, before the term data visualization was even coined. And that’s the sensible advice I’ve followed throughout my career when analyzing all different kinds of data. Data visualization in the form … Continue reading Innovations in Data Visualization – Visual analytics
When most people think “analytical application” they think “classic BI” or “predictive modeling.” That’s no longer accurate. The very nature of analytical applications is changing. Text analytics brings unstructured information into the equation. Visualization changes the way that we look at data and information. The reality is that companies are starting to build applications that … Continue reading What’s a semantic model and why should we care?