| |May 20195VOL 2 · ISSUE 5-2 · MAY 15 - 2019Demand for smart analytical applications will redefine enterprise data practices: Enterprises are in a race to become data-powered businesses, yet only a small fraction of the value of advanced analytics has been unlocked. With the advancement of artificial intelligence software, machine learning, statistical modeling, and other data science disciplines, data analytics will be more predictive and actionable rather than retrospective. We've reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. The ways that data analytics is manifesting within the workplace is undergoing quiet a revolution. New data analytics methodologies like DataOps and hybrid solutions like IoT analytics are coming to the forefront of the next wave of development. No longer is data analytics being used in isolation but in tandem with other disruptive technologies. Last year, enterprises focused heavily on hiring and empowering data scientists to create advanced analytics and machine learning models. The hype around data and analytics has reached a fever pitch. From baseball to biomedical advances, the media highlights one money-making or money-saving corporate experience with analytics after another. Stories abound about data scientists applying their wizard-like talents to find untapped markets, make millions, or save lives. Pundits have been talking up the promise of data in grand terms for several years now: Data has been described as the new oil, the new soil, the next big thing, and the force behind a new management revolution. Despite the hype, the reality is that many companies still struggle to figure out how to use analytics to take advantage of their data. The experience of managers grappling, sometimes unsuccessfully, with ever-increasing amounts of data and sophisticated analytics is often more the rule than the exception. In many respects, the hype surrounding the promise of analytics glosses over the hard work necessary to fulfill that promise. It is hard work to understand what data a company has, to monitor the many processes necessary to make data sufficient (accurate, timely, complete, accessible, reliable, consistent, relevant, and detailed), and to improve managers' ability to use data. In this edition of CIO Insider we bring to you yet again a list of 10 most recommended data analytics solution providers of 2019. If not the core ecosystem of business, these vendors can take your business to new heights through their coherent decision making capabilities.Let us know what you think. Emmanuel Christi DasEditoremmanuel@cioinsiderindia.comWe got New Players in Data Analytics!Office Editorial queries editor@cioinsiderindia.comAdvertising queriessales@cioinsiderindia.comBangaloreTel 080 46441103 To subscribeVisit www.cioinsiderindia.com/magazine-in or send email to: subscription@cioinsiderindia.comCover price is Rs 150 per issueAshok KumarSales & MarketingRavi KalgiGroup Art DirectorMagendran PerumalCirculation ManagerEditorial TeamChitra MishraShiwani PrakashVinisha PaivaAnitha TLakshmi GCIOInsiderNo. 124, 2nd Floor, Surya Chambers, Old Airport Road, Murugheshpalya, Bangalore-560017Veena R Piddannavar VimalrajS SivasankarVisualizer PublisherEditorAlok ChaturvediEmmanuel Christi DasPrinted and published by Alok Chaturvedi on Behalf of SiliconMedia Technologies Pvt Ltd and Printed at Precision Fototype Services at Sri Sabari Shopping Com-plex, 24 Residency Road Bangalore-560025 and Published at No. 124, 2nd Floor, Surya Chambers, Old Airport Road, Murugeshpalya, Bangalore-560017.Copyright © 2019 SiliconMedia Technologies Pvt Ltd, All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher.Editorial | |September 20175CIOReview
< Page 4 | Page 6 >