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Aug 18th, 2014

I’ve recently joined Logi Analytics, and I’m excited to be part of a growing company as it expands its business in Europe and beyond. I’m thrilled that, for the first time, we will be participating in Mind the Product at the Barbican in London on September 12th.  It’s going to be a great opportunity to meet and network with product managers and likeminded people who believe passionately (like us) that technology and product innovation can change and improve how we do business. 

Mind the Product was founded by Martin Eriksson, Janna Bastow and Simon Cast. Initially a

Aug 14th, 2014

In the realm of human psychology and communication, there is a saying: “It’s not what you say, but how you say it.” Meaning the tone of a speaker’s voice and the non-verbal aspects of a presentation influence the message being conveyed much more than the spoken words themselves. The key to delivering a message lies in components such as tone of voice, maintaining eye contact, body posture, and facial expression.

Today, organizations want to be more data-driven, which often requires embedding analytics inside the applications their employees use every day. As it turns out, how you embed these capabilities into an application affect the user experience and the business outcomes just as much as deciding upon what capabilities are embedded.

In this post, we will look at how analytics are integrated into software applications, examine the key integration points, and see how infusing analytics into the core workflows of an application improves the

Aug 5th, 2014

Traditional BI was originally built to service structured, repetitive tasks – activities like basic financial reporting. These were routine decisions or manual processes with static requirements where the benefits were primarily measured in increased staff efficiency. Unsurprisingly, the architecture of these traditional BI tools grew to mirror the scope of their tasks – highly structured and rigid.

The use of BI capabilities has come a long way since then. In today’s increasingly interconnected and transparent digital environment, companies are expected to use robust, data-driven analyses for the vast majority of corporate decision making – everything from inventory optimization to new market entry. Companies can no longer afford to myopically limit their BI capabilities to basic, tactical decisions that only occur in mature, stable environments.