When addressing the impact of technology and information on corporate decisioning, survey questions and responses tend to focus on supply-side "Big Data" issues. Case in point - Randy Bean (@RandyBeanNVP) just published the results of New Vantage Partners’ 2015 Fortune 1000 Executives Big Data survey (http://bit.ly/23VnqHS). Impressive exploration of Big Data’s evolution in Fortune 1000 companies (primarily Financial Services and Life Sciences verticals). Major takeaways include fairly standard "supply side" Big Data insights, including: the emergence of “Chief Data Officers” (though unclear if CDOs are any less the modern equivalent of "VP/Electricity” than the CIO); and how critical “partnership between business and technology organizations and leadership” is to Big Data adoption.
I found fascinating the "demand side" insights buried deeper in the report: the shift from data warehouses to data lakes, importance of data variety & agility over volume and velocity; and increase in percentage of firms with an "analytical sandbox, Big Data Lab, or Big Data Center of Excellence to facilitate data discovery”. The theme here seems to be a shift from an engineering and data-centric approach towards enabling a more business-focused discovery process.
Good news for organizations striving to create/sustain competitive advantage through innovation in analytics. A sandbox with access to raw data, where emphasis is on data variety & agility, is precisely the kind of environment best suited to supporting rapid agile evolution of analytic solutions.