In Yellowfin 8, we have enhanced how our clustering infrastructure functions. If you have Yellowfin set up on a clustered environment, then you may be aware of how advantageous this can be.

Recently, they’ve made a name for themselves offering experiences, like events and travel, at heavily discounted rates. To delve into why they’ve been such a success, we have to look at one of the cornerstones of their company – their approach to data.

Last year we asked all our customers what they think we should work on and "Triggering Traces" came out on top. We started planning a prototype in Winter last year and are ready to share the current state and a few ideas ideas as we launch the beta program. The general release date is planned for late February/March.

Like other pharmaceutical companies, Bayer Pharmaceuticals conducts research to discover new drugs, test and validate their effectiveness and safety, and introduce them to the market. That process requires accumulating, analyzing and storing vast amounts of clinical data coming from patients and healthy volunteers, which is recorded on an electronic case report form (eCRF).

Two weeks ago, we ran the annual market trends webinar. As I’m dealing with the aftermath, or “postmortem”, I’m still overwhelmed by the response to it. It clearly struck a chord (or nerve), as displayed by record attendance numbers, and the sheer interaction on and offline. There were far too many questions – over 300 – to cover off in a blog.

Part and parcel of modern enterprise development is building APIs that enable you to expose your services to developers both inside and outside your organization. But just building APIs isn’t enough. Getting APIs and API programs to market successfully hinges on convincing your developers to actually use them. And the key driver of getting developers to adopt and consume APIs, both within a company or among the wider developer community, is the developer portal.

We polled ecommerce marketers to uncover the most effective channels for promoting a new online store. Here are the channels and tactics they recommend most.

Financial institutions have a natural desire to predict the volume, volatility, value or other parameters of financial instruments or their derivatives, to manage positions and mitigate risk more effectively. They also have a rich set of business problems (and correspondingly large datasets) to which it’s practical to apply machine learning techniques.

We use these buzzwords everyday but how accurate are they really?

From varying attribution models to offsetting overall costs, these 27 marketers share how to determine whether a content marketing strategy is paying off.