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Are CIOs the New Drivers of Data Analytics?
CIOs across enterprises and industries are extending their expertise into data analytics to derive insightful details for business success.
Fremont, CA: Data analytics is a vast field which involves extracting patterns, trends in the form of useful insights through a set of existent and incoming data. There is a huge inflow of data in the current business world, which remains more or less insignificant without proper analysis. It is all about bringing in the aptest method of data analytics. In an exciting development, CIOs are currently handling the responsibility of effectively analyzing vast volumes of big data.
Many enterprises have their CIOs supporting data scientists as they continue to incorporate data sets within organizations to further establish themselves at the core of expertise in big data analytics.
CIOs role turns critical in enabling comprehensive and insightful leadership to make sure enterprises develop essential insights on business by leveraging data effectively.
In their new role as enablers of practical data analysis, CIOs are collaborating with the IT team to develop a comprehensive and robust understanding of existing data. Also, it is his responsibility to oversee that the data is detailed and supports the enterprise as a whole.
CIOs also need to ensure that marketing, support, and sales-related data has been holistically leveraged across these functions. Additionally, CIOs may also find it critical to establish a connection among the various departments to arrive at a useful strategy to tackle the large volumes of data received on a day-to-day basis.
CIOs, as enablers of data analytics, have to be selective about projects that have high-impact. Also, the CIO should be able to lead the entire team in such a way that solutions are developed for enhancing the competitive advantage of the data analytics process.
To be a successful data analytics solution enablers, CIOs should function in collaboration with other sections in an enterprise and constant analysis of the ongoing projects and making necessary changes would be a priority. In sync with the continually altering business dynamics, certain tasks should be reprioritized.
Check out: Enterprise Technology Review