Business intelligence and data driven management are based on providing users with supporting information to facilitate their tasks and everyday decision-making.

In recent years, the application of optimization techniques has been gaining traction to operationalize insights from advanced analytics and predictive models to prescribe best set of decisions in various business domains. Use cases and application areas are wide – examples range from predictive maintenance to retail assortment optimization and workforce scheduling to achieve organizational goals.

To understand what optimization is, how it relates to predictive analytics, and why it is so critical for businesses today, we set a discussion with Houston Analytics’ optimization specialist Sami Löfman.

Houston Analytics, a leading European provider of advanced analytics skills and solutions, redesigned its brand identity to better reflect its international growth and breadth of data science solutions. Today, Houston Analytics officially reveals its new logo and logo design.

As consumer's media and purchasing behavior continue fragmenting – the challenges for marketeers keep growing: how to get relevant messages, across the right channels at the right time to the individual consumer?

Optimisation is the missing link between predictive and prescriptive analytics.

We’ve all heard the news – with changing consumer behaviors and e-commerce gaining a greater share of the overall market, several traditional brick-and-mortar stores are struggling to stay relevant.