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<h4 style="text-align: justify;">The potential for mobile operators to generate huge amounts of revenue from Big Data is undeniable, solely based on the volume, richness and breadth of customer data that flows across a mobile network. So clearly the key question is <strong><em>how</em></strong> can that raw data be turned into products and services which corporate customers and individuals will want to buy?</h4>
<h5>Always, always, start from the customer</h5>
<p style="text-align: justify;">For over two decades, Redwing has been working with mobile operators to help them get from business concepts to revenue-generating service launches. In that time, we've developed a number of fundamental principles that help guide the business launch process:</p>
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<p style="text-align: justify;">On the surface these look like simple questions to answer. But in reality, these are <strong>extremely non-trivial</strong> questions, and require significant amounts of new thinking on the part of the Big Data team.</p>

<h5>Who are your customers?</h5>
<p style="text-align: justify;">Are the customers for Big Data your existing corporate accounts? Or is there huge potential within the small and medium business sectors? Or is this something to sell to individuals?</p>
<p style="text-align: justify;">Should you sell Big Data to the customers' marketing departments? Or through their existing ad agencies? Or to their IT groups?</p>
<p style="text-align: justify;">Or is the market defined by product and application: are we selling to buyers of customer profile data? Or buyers of identity services?</p>
<p style="text-align: justify;">The potential answer to all these questions is: 'yes'. Because the buyers of Big Data services form a complex multi-dimensional market which is defined by:</p>

<ul style="text-align: justify;">
	<li>The industry vertical you are selling to (fmcg, utilities, retail, etc)</li>
	<li>The role of the person you are selling to (media planner, digital media executive, strategic planner, etc)</li>
	<li>The type of Big Data product you are selling (customer profile data, location data, real-time data, etc)</li>
</ul>
<p style="text-align: justify;">And understanding the interaction between these customer types is key to identifying real, growable markets for your Big Data products.</p>

<h5 style="text-align: justify;">What do your customers want?</h5>
<p style="text-align: justify;">The good news: there are many Big Data applications that customers are clamoring for that are well-defined and can be readily identified.</p>
<p style="text-align: justify;">Redwing conducts regular in-depth research efforts to collate these, and a subset of our database is shown in this graphic (click on the graphic for a larger version):</p>
<p style="text-align: justify;"><a href="http://redwingconsulting.com/wp-content/uploads/Monetizing-Big-Data-chart-2.png"><img class="size-full wp-image-2788 alignright" alt="Monetizing Big Data chart 1 (small)" src="http://redwingconsulting.com/wp-content/uploads/Monetizing-Big-Data-chart-1-small.png" width="450" height="286" /></a></p>