Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. Data Ecosystems Surrounding Insurance. Always Mindful of Privacy. For example, in the U.S.,

Insurance 83

Insurance IoT Risk Data Processing 83

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. The CloudFormation stack also deploys a provisioned Redshift cluster.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Data governance: three steps to success.

Data Governance 94

Data Governance Data-driven Data Processing Risk 94

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

DataKitchen

FEBRUARY 2, 2023

This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. Recession: the party is over.

Metadata 130

Metadata Testing Risk Data Science 130

Andrew White

JANUARY 11, 2021

How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Governance. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. Master data management. Data governance. Data pipelines.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 102

Risk Data Lake Marketing Interactive 102

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. The best AI platforms typically have various measures in place to ensure that your data, application endpoints and identity are protected.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. The data governance team’s solution?

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Alation

DECEMBER 8, 2022

Data governance is growing in urgency and prominence. As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

erwin

JULY 17, 2019

EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today. Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98