Financial Services Personal data Retail 
Thales Cloud Protection & Licensing
DECEMBER 11, 2018
As I was starting to write this blog, yet another retail program data breach occurred, for Marriott’s Starwood loyalty program. But it looks like my own personal data has been breached – again. To make a long story short – the top reason that they didn’t invest in data security was “lack of perceived need” at 52%.
eSecurity Planet
SEPTEMBER 21, 2024
New York: New York SHIELD Act The New York SHIELD Act (Stop Hacks and Improve Electronic Data Security Act) enhances data security requirements for businesses handling the private information of New York residents. The act mandates that businesses implement reasonable safeguards to protect personal data and timely report data breaches.
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Thales Cloud Protection & Licensing
NOVEMBER 16, 2017
Ahead of the May 2018 legislation, we’ve been asking organisations if they’re #FITforGDPR – whether they’re ready to improve their personal data protections, as well as take on the increased accountability for data breaches, should they occur. As expected, responses have been mixed.
Reltio
AUGUST 16, 2018
The primary objectives of the GDPR are to give control back to their EU citizens and residents over their personal data, to simplify the regulatory environment for international business, and to unify regulations within the European Union.
Reltio
APRIL 25, 2019
If the digital transformation doesn’t have an end date, then is your data platform able to scale infinitely to support your long-term, evolving customer experience? Can it continuously collect and correlate all customer data from internal as well as external, public, and social media? For Future.
Information Matters
DECEMBER 7, 2018
“Seven out of 10 UK consumers and two-thirds, on average, around the world would stop doing business with a brand that suffers a breach of users’ financial or personal data. Who steals personal data and how do they make money from it? ” [link]. Which of those skills gets the pedestal?”
Robert's Db2
JUNE 5, 2012
First, the basics: table-controlled partitioning refers to a means of range-partitioning the data in a table, so that, for example, sales records for retail store numbers 1-25 go into table space partition 1, records for store numbers 26-50 go into partition 2, records for store numbers 51-75 go into partition 3, and so on.
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