Taming Business Complexity with Network Science

How network science modeling and graph analysis shed light on complex processes and help improve business performance.

We are living in the era of data. Yet, producing and storing massive amounts of data yields no competitive advantage, without the means to understand it, derive insights from it, and, even better, take the right decisions based on those insights.
Organizations must approach the data problem end-to-end. To deliver any successful analytics project, built on the full stack of available data, they must consider every step in the value chain flowing from data to ROI, and purposefully deploy the right skills at the right stage.

In Moviri Analytics we strongly believe in a complete approach, combining a solid foundation in data engineering and big data technologies with our data science and research expertise.

With this white paper, we pinpoint the rationale behind this approach and the key capabilities it must incorporate to be successful at the enterprise level, focusing on the fast-developing, high-value field of network science.

Content
Fill out the form to download this white paper and you will find out:

 The most promising features making network science successful in managing business processes.

   Which competencies companies need to successfully leverage network science.

  A real-life customer story: how we designed a near-real-time tool to help a major bank detecting weaknesses and risks across its complex technology infrastructure.