Data News Roundup- Thursday, November 5th
Welcome to AtScale’s Data News Roundup for Thursday, November 5th, 2020, a weekly roundup of top news stories impacting the world of big data and analytics.
News headlines this week have been dominated by the U.S. presidential race hanging in the balance. While you wait for election results, catch up on the latest top news stories impacting the world of big data and analytics. In addition, check out AtScale’s new research report, “State of COVID-19: Impact on Retail,” an in-depth study that examines how the pandemic has affected the retail industry.
Below are the stories in this week’s Data News Roundup by AtScale. Enjoy!
Why Bankers Are So Disappointed by the ROI of Marketing Data & Analytics – October 27th, 2020
By Steve Cocheo
The Financial Brand
The Gartner Marketing Data and Analytics Survey 2020 reveals that 54% of CMOs and VPs of marketing are unimpressed by the results they receive from their marketing data and analytics investments. Yet 85% of respondents expect that by 2022, “significantly more” of their organization’s marketing decisions will be based on data analytics.
Hackers have only just wet their whistle. Expect more ransomware and data breaches in 2021. – November 2nd, 2020
By Esther Shein
Security experts predict there will be more advanced cybersecurity threats in the coming year. “Given finite security resources, there is value in a data-driven, business-focused, tiered-risk approach to secure the enterprise ecosystem,” notes Accenture’s 2020 Cyber Threatscape Report.
California voters approve Prop. 24, ushering in new rules for online privacy – November 4th, 2020
By Sam Dean
Los Angeles Times
California voters have approved a separate proposition expanding the state’s landmark consumer privacy law measure, Proposition 24.
Businesses Taking a Converged Approach to Analytics, Data Science – November 4th, 2020
The road to data-driven business decision making is bumpy. According to a survey by Forrester Research, 40% of global organizations and analytics decision-makers report “lack of employees with specialized skill sets” is a roadblock to a successful data and analytics program, while 35% of respondents cite “lack of data skills among those who need to utilize data but are not data experts” as a barrier.