Data Wrangling: Evolution and Application in Data Analysis
With data quickly becoming a valuable asset for businesses, it has enabled the identification of trends, patterns, and modes of behavior, all of which can be used to offer a personalized product or service. Consequently, the emergence of IoT and sophisticated data collection models ensure that there are no boundaries to the types or amounts of data an organization can procure. While collected data forms the foundation, the crucial step of analyzing this data effectively to derive actionable insights is made possible with data wrangling solutions.
Helping data analysts to make better sense of vast, diverse and clumsy data sets, data wrangling is the first piece of the data analysis puzzle. Data can then be examined much faster and more effectively as data wrangling cleans and unifies complex data, enabling enterprises to understand their data better. Data wrangling would typically involve manually converting data from its original format into easily digestible parts using tools like visualization and aggregation. But, data wrangling solutions can drastically improve the process facilitating better data analytics as a result.
Data wrangling solutions to improve data analytics
The data from various sources on which the analytics is performed, has created the need for the development of intuitive, cost-effective and efficient data wrangling solutions since it has become increasingly difficult to ‘wrangle’ these complex data sets.
The Need for Data Wrangling
An organized data leads to giving invaluable insights to businesses leading to pioneering innovations, with meaningful statistics from previously unorganized information. Eventually, companies are empowered with effective data wrangling allowing to find the hidden value in diverse data sets, giving the enterprises a competitive edge with accurate information rather than just assumptions.
The potential of how businesses can utilize data to succeed evolves with the growth of data wrangling solutions, which are bound to become essential in the future of enterprises.
By Chris Tjotjos, VP, Cisco Solutions Practice, Black Box...
By Laura Jackson, Sr. Manager-Risk Management, ABS Consulting
By Jason Cradit, VP of Information Systems, Willbros Group
By Steve Garske, Ph.D., Senior Vice President & Chief...
By Roman Trakhtenberg, CEO, Luxoft
By Renee P Wynn, CIO, NASA
By Mike Morris, CIO, Legends
By Louis Carr, Jr., CIO, Clark County
By Andrew Macaulay, CTO, Topgolf Entertainment Group
By Dominic Casserley, President and Deputy CEO, Willis...
By Dave Nelson, SVP-Portfolio Lead, Avanade, Inc.
By Michael Cross, SVP & CIO, CommScope Holding Company Inc.
By Pauly Comtois, VP DevOps, Hearst Business Media
By Dan Adam, CIO, Extreme Networks
By Matt Schlabig, CIO, Worthington Industries
By David Tamayo, CIO, DCS Corporation
By Scott Cardenas, CIO, City and County of Denver
By Marc Kermisch, VP & CIO, Red Wing Shoe Co.
By Brian Drozdowicz, VP, Digital Services, Siemens...
By Les Ottolenghi, EVP and CIO, Caesars Entertainment