Remove Cloud Remove Metadata Remove Retail Remove Security
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Five benefits of a data catalog

IBM Big Data Hub

It uses metadata and data management tools to organize all data assets within your organization. For example, imagine business analyst Alex is working on a data analytics project to help her retail company better quantify the success of shoe sales versus jewelry sales. She also wants to predict future sales of both shoes and jewelry.

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The Sainsbury Archive chooses Preservica to create new cloud-based digital archive

Preservica

Preservica’s active digital preservation platform selected to future-proof unique digital assets that document nearly 150 years of corporate, brand and retail history. We also needed a system that could connect with our existing catalogue, to avoid needing to re-key or copy metadata. About Preservica.

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Keeping Up with New Data Protection Regulations

erwin

Some industries, such as healthcare and financial services, 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).

GDPR 100
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Seven Risks in the Beneficent Cloud

Positively RIM

U ser beware: amid the security and budgetary advantages of the Cloud, risks lurk, ready to sabotage the unprepared or unsuspecting. Records Management in the Cloud cries for Information Governance (IG). Theoretically, you can manage information in the Cloud with the same care and quality of locally stored records.

Cloud 40
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What Db2 for z/OS People Should Know About Data Fabric

Robert's Db2

Basically, by eliminating friction that would otherwise impede data access, discovery, utilization and integration - and doing that without compromising data security. For a traditional retail store, relevant personas include the following: Consumers acquire products from the store. Protection of data security and consistency.

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The most valuable AI use cases for business

IBM Big Data Hub

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.

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Surviving Radical Disruption with Data Intelligence

erwin

By leveraging the power of the cloud, harnessing data from the Internet of Things (IoT) and other events, and processing this data in near-real time, analytics helps to effectively process the relentless incoming data feed. And that’s where data analytics can play a huge role.