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The Verizon DBIR 2020 report indicates that financially motivated attacks against retailers have moved away from Point of Sale (POS) devices and controllers, towards web applications. Figure 1: Web application breaches in the Retail industry. Fraud and scams move to the web. Source: Verizon DBIR 2020. Online skimming.
Some industries, such as healthcare and financialservices, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).
By aligning physical data assets with customers' needs and providing contextual expertise within data management teams, data virtualization helps improve data discovery and aligns data ownership. But before diving in, consider how data virtualization aligns with your organizational needs, governance approach, and data governance maturity.
Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.
We also forecast an ongoing strong demand for IDP solutions to automate Accounting processes while e-invoicing mandates expand, broadening into P2P and OTC automation. Second tier verticals with a growth rate above the industry average in 2023 were Retail, Telecommunication & Utilities, and the Energy sector. grade schools).
Much of background is what we now call customer experience and its predecessors of CRM and eCommerce applications in Retail and CPG as well as PLM, ERP and supply chain. Many more regulations are being adopted as consumers demand full accountability – less “creepiness” if you will!
For example, organisations in the Legal and Retail sector may see impressive ROIs. These solutions are designed to acquire, classify, validate, and convert business inputs into valuable data for use in business transactions, analytics, records management, discovery, and compliance applications.
These solutions are designed to acquire, classify, validate, and convert business inputs into valuable data for use in business transactions, analytics, records management, discovery, and compliance applications. The Banking and FinancialServices sector tops the opportunity list, followed by the Insurance sector.
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