John Battelle's Searchblog

NOVEMBER 17, 2013

Each time you walk into a doctor’s office, the same kind of system could be triggered to determine what information should appear on your health care provider’s screen, and on yours, and how best payment should be made (or insurance claims filed). What values do we build into it? Can it be audited?

Retail 112

Retail Insurance Data structuring IT 112

erwin

JULY 2, 2020

“We use erwin DM to do all of the levels of analysis that a data architect does,” said Sharon A., a senior manager, data governance at an insurance company with over 500 employees. She added, “erwin DM does conceptual, logical and physical database or data structure capture and design, and creates a library of such things.

Metadata 122

Metadata Libraries Healthcare Government 122

eSecurity Planet

AUGUST 13, 2021

This includes deep inspection of hundreds of protocols in a standard three-pane packet browser that encapsulates data structures. When in use, Xplico creates XML files that uniquely identify the flows and pcap contained in each data structure reassembled.

e-Discovery 139

e-Discovery Computer and Electronics Marketing Compliance 139

OpenText Information Management

JULY 16, 2024

OpenText™ Discover is an innovative solution that elevates investigative analytics through a multi-step workflow that ensures all data (structured and unstructured) interactions are retraceable, auditable, and secure.

Analytics 59

Analytics Unstructured data Data structuring Mining 59

IBM Big Data Hub

JULY 6, 2023

These include ethics awareness programs for value chain partners, product and service life cycle assessments, employee protections such as insurance and transition programs. This data can be sliced and diced to align to the needs of multiple reporting frameworks as required.

Insurance 50

Insurance Government Data structuring Communications 50

Collibra

DECEMBER 1, 2020

Data lake management: Prevent a data swamp. A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured and unstructured data. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

Reltio

APRIL 23, 2019

I look at all of those and behind each one I say: “OK it’s not going to work without master data”. For example you’re not going to get IoT to work across organisations and devices without having a common data structure. It always comes back to this foundational, structural data and the challenge is, it’s not very sexy.

MDM 40

MDM Marketing Big data Cloud 40