Positively RIM

APRIL 16, 2014

There is certainly more data than before, but the real difference is the analytical algorithms applied to the data. While enabling quick delivery can be important, using algorithms for alerts to medical conditions or pharmaceutical needs can be life-saving. Why is Big Data significant for Information Governance?

Big data 40

Big data Information governance Healthcare Government 40

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 88

Insurance e-Delivery Paper Sales 88

Information Matters

NOVEMBER 27, 2018

“Conducting data analytics in a legally compliant manner has been made significantly more complex under the GDPR and raises the question, can companies continue to innovate and make data-driven decisions while fully complying with the law? You can sign up to receive future copies by email HERE. The Business of Data.

Artificial Intelligence 40

Artificial Intelligence Insurance Big data GDPR 40

IBM Big Data Hub

AUGUST 11, 2023

If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly. pharmaceuticals, aerospace, etc.),

Manufacturing 75

Manufacturing Compliance Healthcare Analytics 75

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

Data Matters

AUGUST 24, 2018

The Group Capital Calculation (E) Working Group continued its development of a group capital calculation (GCC) as an analytical tool for regulators to evaluate the financial condition of an insurance group. NAIC Continues Working to Develop a Group Capital Calculation. for a 90-day public consultation period.

Insurance 60

Insurance Big data e-Delivery Risk 60

Reltio

DECEMBER 2, 2020

In the first two weeks we’ll review the legacy system, review any new requirements, and create a fit-gap analysis and implementation plan. Jakki: Is there a difference if a company has an analytical MDM versus an operational MDM or both? Ranga: Yes, our 5 step migration process includes: Step 1: Discovery. Step 2: Design. Testing team.

MDM 78

MDM Data migration Digital transformation Customer Experience 78

Reltio

AUGUST 17, 2018

Platform’s multi-domain data organization capability helps perform deeper analysis to better understand the needs of patients, providers, payers, and relationships among these players. It helps you make quick decisions on messaging, targeting and marketing investments. Loss of Exclusivity Phase: Value Extraction via Data.

MDM 70

MDM Sales Customer Experience Marketing 70

Data Matters

DECEMBER 28, 2020

regulators with an additional analytical tool for conducting groupwide supervision. The White Paper identifies best practices for state insurance regulators in their review of predictive models and analytics filed by insurers to justify rates. The four best practices for regulatory review described in the White Paper are to.

Insurance 68

Insurance Paper Risk Analytics 68