Octopai

JULY 9, 2020

It required banks to develop a data architecture that could support risk-management tools. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Cloudera

MAY 30, 2024

In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

Data Analytics 81

Data Analytics Analytics Risk Management Digital Transformation 81

erwin

OCTOBER 24, 2019

It is the only solution that can automatically harvest, transform and feed metadata from operational processes, business applications and data models into a central data catalog and then made accessible and understandable within the context of role-based views. With erwin, organizations can: 1.

Metadata 104

Metadata Management Data-driven Data Architecture 104

erwin

SEPTEMBER 17, 2020

With complex data architectures and systems within so many organizations, tracking data in motion and data at rest is daunting to say the least. Harvesting the data through automation seamlessly removes ambiguity and speeds up the processing time-to-market capabilities.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

APRIL 29, 2022

From a policy perspective, the organization needs to mature beyond a basic awareness and definition of data compliance requirements (which typically holds that local operations make data “sovereign” by default) to a more refined, data-first model that incorporates corporate risk management, regulatory and reporting issues, and compliance frameworks.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

Cloudera

APRIL 19, 2023

This includes investing in modern data architecture, such as using a platform like Cloudera, which enables companies like Santander UK to store, process, and analyze large amounts of data in real time.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

Cloudera

NOVEMBER 25, 2021

A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency). Customer use cases can be grouped into three categories. .

Machine Learning 90

Machine Learning IoT Risk Business Objectives 90

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. These regulations required quarterly risk-evaluation reports. One of the most important components of that legislation was BCBS 239 Principle 2.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

Cloudera

SEPTEMBER 10, 2024

However, according to The State of Enterprise AI and Modern Data Architecture report, while 88% of enterprises adopt AI, many still lack the data infrastructure and team skilling to fully reap its benefits. In fact, over 25% of respondents stated they don’t have the data infrastructure required to effectively power AI.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52

Sisense

SEPTEMBER 3, 2020

ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. Business analysts may work together with data scientists and data analysts in areas such as metric definition and database design.

Statistics 97

Statistics Metrics Visualization Finance 97

AWS Big Data

JULY 16, 2024

With an extensive career in the financial and tech industries, she specializes in data management and has been involved in initiatives ranging from reporting to data architecture. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 130

Insurance Management Cost-Benefit Optimization 130

IBM Big Data Hub

AUGUST 15, 2022

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.) Model risk management.

Data mining 60

Data mining Risk Modeling Risk Management 60

Cloudera

SEPTEMBER 7, 2023

AI-ify risk management. Leverage ML/AI to refine risk models, incorporating data from diverse sources, and predicting outcomes based on market sentiment, climate data, etc. Practice real-time risk management. Automate wealth management. Simplify regulatory compliance.

Insurance 83

Insurance Risk Data-driven Finance 83

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

TDAN

DECEMBER 31, 2019

If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 Cyber-attacks are a huge problem for today’s businesses.

Risk 69

Risk Risk Management Data Architecture Data Strategy 69

TDAN

AUGUST 1, 2023

Rural areas worldwide are disconnected in a landscape that nearly requires the internet to work or socially interact. But eventually, the entire planet will have equal, high-speed internet access. Neglecting the digital divide and broadband gap will cause cybersecurity concerns for communities entering the digital era.

Interactive 52

Interactive Risk Management Data Architecture Risk 52

TDAN

MAY 16, 2023

Cybersecurity risks in procurement can result in significant financial loss, reputational damage, and legal liability. Procurement is an essential function within any organization, involving the acquisition of goods and services necessary for business operations.

Risk 52

Risk Technology Risk Management Data Architecture 52

CIO Business Intelligence

AUGUST 7, 2024

The company started its New Analytics Era initiative by migrating its data from outdated SQL servers to a modern AWS data lake. It then built a cutting-edge cloud-based analytics platform, designed with an innovative data architecture. It also crafted multiple machine learning and AI models to tackle business challenges.

IT 119

IT Insurance Cost-Benefit Testing 119

CIO Business Intelligence

MAY 14, 2025

The convergence of agentic AI, next-gen data architectures and agent-based governance demands a fundamental shift in how EA positions itself to create value. The rapid evolution of AI and data-centric technologies is forcing organizations to rethink how they structure and govern their information assets.

Enterprise 115

Enterprise Data Architecture Data-driven Data Quality 115

CIO Business Intelligence

APRIL 16, 2025

Software architecture: Designing applications and services that integrate seamlessly with other systems, ensuring they are scalable, maintainable and secure and leveraging the established and emerging patterns, libraries and languages. This requires close attention to the detail, auditing/testing, planning and designing upfront.

Enterprise 124

Enterprise Strategy Risk Business Objectives 124