6 key issues for mobile operators in turning their internal analytics capabilities into external Big Data monetization opportunities.
Once a Big Data team has been formed inside a mobile operator, it becomes clear that external opportunities exist to sell products and services based on Big Data analytics. This bottom-up approach is a pragmatic and cost-effective path for operators to commercialize Big Data services.
Mobile operators must define the right organizational model for managing any significant Big Data project, to align the demands of the business with the technology requirements needed to support those demands.
Falling profit margins are driving operators to find ways to monetize Big Data, to turn their existing information assets into new sources of revenue.
Operators are increasingly focusing on the strategic and operational implications of aligning their organizations to address the Big Data opportunity.
Mobile operators are seeking new sources of growth. One of most exciting areas is Big Data monetization - operators are only just beginning to unlock the value of the information their networks carry.
Mobile operators are leveraging their Big Data assets to better understand their own users and to create opportunities to sell to third party customers.
Redwing's website aims to address the commercial, organizational and marketing issues that mobile operators and telcos face as they monetize their Big Data assets.