Cloudera

AUGUST 27, 2020

To do this Manulife’s in-house data team built an Enterprise Data Lake (EDL) — a robust, enterprise-wide, data backend supporting digital connection, report automation, and AI & advanced analytics development. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 100

Internet of Things Data Lake Uncertainty IoT 100

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. IoT/Streaming data 1. AI/Automation 6.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

Sisense

JUNE 12, 2019

In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. Data literacy and data skills, which created the forgotten dark data lakes in the first place, are still scarce.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Alation

JULY 7, 2022

In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Alation

AUGUST 2, 2022

Similary, every touchpoint offers data that can help you improve that customer experience, from the number and duration of support interactions to the intuitiveness of your website. Analyzing this data can build your ability to anticipate a customer’s specific needs. But customers aren’t data; they’re people.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. A useful feature for exposing patterns in the data. Parametrization. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. The following diagram illustrates our solution architecture.

Management 81

Management Metadata Testing Internet of Things 81