Cloudera

AUGUST 21, 2021

Data enables better informed critical decisions, such as what new markets to expand in and how to do so. It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Personalizing the customer experience. Rabobank , headquartered in the Netherlands with over 8.3

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

FEBRUARY 22, 2024

The perfect ESG software would encompass all lifecycle elements of an ESG strategy, be a potent program management tool, a risk management tool, provider of analytics, and a vehicle for accountability and verification.” That’s where the single source of truth comes into perspective and increases performance,” Karcher says.

Software 81

Software Reporting KPI Enterprise 81

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 84

Analytics Insurance Big Data Uncertainty 84

CIO Business Intelligence

SEPTEMBER 2, 2022

Finance companies collect massive amounts of data, and data engineers are vital in ensuring that data is maintained and that there’s a high level of data quality, efficiency, and reliability around data collection.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Finance companies collect massive amounts of data, and data engineers are vital in ensuring that data is maintained and that there’s a high level of data quality, efficiency, and reliability around data collection.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

MAY 18, 2022

While resiliency has always been a focus of EA, “the focus now is on proactive resiliency” to better anticipate future risks, says Barnett. Businesses are also looking to use EA to anticipate problems and plan for capabilities such as workload balancing or on-demand computing to respond to surges in demand or system outages, Barnett says.

Enterprise 105

Enterprise Measurement Data-driven Software 105

CIO Business Intelligence

JULY 6, 2023

Another benefit is greater risk management. Using automation technologies helps meet client expectations and ensures consistency, while lowering risks that can be attributed to human error.”

Cost-Benefit 115

Cost-Benefit Technology Unstructured Data Testing 115

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Precisely buys PlaceIQ.

Technology 142

Technology Enterprise Consulting Software 142

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Most of the data management moved to back-end servers, e.g., databases.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84