IBM Big Data Hub

FEBRUARY 14, 2024

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.

Artificial Intelligence 82

Artificial Intelligence Retail Unstructured data Insurance 82

Reltio

SEPTEMBER 13, 2022

A common refrain, for example, is that Reltio frees analytics and engineering teams up from the busy work of finding, de-duplicating, fixing and making data useful in a centralized location. Customers interviewed in the study were from the pharmaceuticals, technology, insurance and retail industries.

MDM 52

MDM B2C IT B2B 52

erwin

FEBRUARY 19, 2021

That equation can be reversed with stronger data operations and analytics leading to insights more quickly, with access/connectivity to underlying metadata and its lineage. When key data isn’t discovered, harvested, cataloged, defined and standardized as part of integration processes, audits may be flawed.

Metadata 110

Metadata Digital transformation Government Healthcare 110

Reltio

FEBRUARY 3, 2021

Our customers include global pharmaceutical and life sciences companies, market leaders in healthcare, financial services, and technology, major travel and hospitality brands, and prestigious international luxury consumer brands in fashion, retail, and personal care. Unparalleled Performance.

MDM 98

MDM Cloud Marketing B2C 98

Reltio

DECEMBER 2, 2020

This is particularly useful during peak times like the holidays for our retail and CPG customers as well as open enrollment for our healthcare customers. Jakki: Is there a difference if a company has an analytical MDM versus an operational MDM or both? Redundancy and disaster recovery are built in. Project manager. System architect.

MDM 78

MDM Data migration Digital transformation Customer Experience 78

Data Matters

SEPTEMBER 20, 2021

Moody’s Analytics, in collaboration with the American Council of Life Insurers, developed the revised bond factors, which are based on more recent historical data, as the data on which the prior factors were based was approximately 30 years old.

Insurance 87

Insurance e-Delivery Paper Cybersecurity 87

Data Matters

SEPTEMBER 3, 2020

The Annuity Suitability Working Group (ASWG) led the NAIC’s multi-year efforts to develop revisions to the Suitability in Annuity Transactions Model Regulation (SAT) to incorporate a requirement for producers to act in the “best interest” of a retail customer when making a recommendation of an annuity.

Insurance 67

Insurance Paper Artificial Intelligence Big data 67