Impact of Data Analytics in Business: A Modern Approach
In the coming years, the way businesses grow will be completely different and only organizations that are adopting new technological advantages and innovations will survive. Both, small as well as large organizations, are moving forward with digital transformation. Data management is one of the most critical functions of today’s businesses, and the data is considered to be the most important asset of organizations.
Organizations require data to be effectively collected, safely stored, and efficiently analyzed to create actionable business insights; they need to be incorporated with a platform to make sense of it and process quickly. As these businesses grow, they are generating a huge amount of data from their day-to-day functions; instead of manually analyzing, those massive amounts of data should be analyzed through a digital platform—data analytics.
Organizations that adapt to customer needs much faster than their competitors rely on data analytics to enhance their business. Data analytics provides various advantages such as identifying new opportunities, understanding customer behavior, becoming more agile and outperforming the competition.
Traditional methods of data processing insights have to be changed in this current scenario while having new forms of data coming from different sources such as the internet or web to mobile, and machines. Today, organizations are implementing new technology platforms like multi-platform capabilities, open source, and visual tools on the cloud to adopt changes. On incorporating predictive analytics, the most significant branch of data analytics, companies can approach the risks and opportunities differently. The organizations can use predictive analytics mainly to reduce costs, also to save more time, increase revenue, and modernize their businesses.
Data analytics are already disrupting several industries, and the changes are critical and highly significant for the organizations in the data management. The future belongs to the enterprises that are capable enough to predict evolving challenges and overcome them. Those businesses that harness the advantages and opportunities of big data management and data analytics efficiently can ensure more value in their business and differentiate themselves.
By Tom Farrah, CIO & SVP, Dr Pepper Snapple Group
By George Evans, CIO, Singing River Health System
By John Kamin, EVP and CIO, Old National Bancorp
By Phil Jordan, CIO, Telefonica
By Elliot Garbus, VP-IoT Solutions Group & GM-Automotive...
By Dennis Hodges, CIO, Inteva Products
By Bill Krivoshik, SVP & CIO, Time Warner Inc.
By Gregory Morrison, SVP & CIO, Cox Enterprises
By Alberto Ruocco, CIO, American Electric Power
By Sam Lamonica, CIO & VP Information Systems, Rosendin...
By Sven Gerjets, SVP-IT, DIRECTV
By Marie Blake, EVP & CCO, BankUnited
By Lowell Gilvin, Chief Process Officer, Jabil
By Walter Carvalho, VP & Corporate CIO, Carnival Corporation
By Mary Alice Annecharico, SVP & CIO, Henry Ford Health System
By Bernd Schlotter, President of Services, Unify
By Bob Fecteau, CIO, SAIC
By Jason Alan Snyder, CTO, Momentum Worldwide
By Jim Whitehurst, CEO, Red Hat
By Marc Jones, Distinguished Engineer, IBM Cloud Infrastructure