Most business users are a whole lot more interested in the ends rather than the means, so when it comes to analytics, more often they’re really looking for the shortest path to actual business insight.
With that goal in mind, Logi Analytics today launched Logi Vision, an application that combines advanced analytics with the attributes of data visualization and business intelligence software.
Rather than having to acquire three distinct types of applications, Brian Brinkmann, vice president of products for Logi Analytics, says one of the primary reasons that we have yet to see the broad adoption of Big Data analytics is because most approaches require a data scientist to master and deploy. Logi Vision, on the other hand, says Brinkmann, provides the majority of the advanced analytics capabilities the average business needs in a way that allows them to not only self-service their own needs, but also share insights.
According to Brinkmann, the ability to easily share those insights is what ultimately creates the most business value for the organization. To achieve that, Brinkmann says Logi Analytics includes a recommendations engine that ranks the potential value of a piece of data while providing best practice suggestions in terms of how to analyze and leverage it.
As organizations move into the Big Data application era, the conversation is moving past underlying plumbing to one where the issue is how to deploy applications that quickly enable businesses to gain new insights. One of the reasons Logi Vision accomplishes this is because it includes the data visualization tools needed to identify patterns and trends along with pre-packaged connectors for accessing data stored in everything from productivity applications such as spreadsheets to a variety of cloud services.
Ultimately, the end goal of any investment in analytics is to allow business users to make better decisions faster. Those business users, however, don’t want to wait several years for internal IT organizations to master a variety of Big Data plumbing technologies, never mind finding and then absorbing the cost of a data scientist who knows how to use them. In fact, as far as most business users are concerned, whether that capability comes in the form of analytics, BI or data visualization software is beside the point. They need the right answers to pressing business problems now and as history has shown, they’re not too particular about how they get them.