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. Therefore, it is crucial […]

Risk 52

Risk Technology Risk Management Data Architecture 52

IBM Big Data Hub

MARCH 7, 2023

Years’ worth of aggregated data in the NICU could help lead us to a solution. The challenge was gleaning relevant insights from the vast amount of data collected to help identify those infants at risk. To learn more about how Innocens BV is putting data and AI to work, visit the case study and short documentary film here.

Risk 52

Risk Technology Informatics Predictive Modeling 52

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 95

Strategy Data Architecture Cost-Benefit Reporting 95

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 86

Data Architecture Risk Management Risk Management 86

Cloudera

NOVEMBER 1, 2022

These systems can pose operational risks, including rising costs and the inability to meet mission requirements. . Mission use case: increasing visibility and mitigating supply chain risk . The source and availability of every material and part across each branch is an opportunity for risk.

Cost-Benefit 89

Cost-Benefit Data Architecture Risk IoT 89

CIO Business Intelligence

OCTOBER 25, 2022

The data platform supports several critical initiatives in this industry: Support for new product development by using data to identify opportunities where current services aren’t available or are unattractive to customers. The use of a data platforms to drive new product offers and address customer needs is already beginning.

Insurance 119

Insurance Data Architecture Data-driven Interactive 119

Cloudera

APRIL 19, 2023

Wealth managers can monetize their data by selling analytics and insights to their clients, such as customized investment recommendations based on an individual’s financial goals and risk profile. Asset and fund managers can sell data and analytics to their clients, such as performance data on different investment portfolios.

Data-driven 72

Data-driven Data Architecture Measurement Risk 72

IBM Big Data Hub

DECEMBER 16, 2022

Building the foundation: data architecture. Collecting, organizing, managing, and storing data is a complex challenge. A fit-for-purpose data architecture underpins effective data-driven organizations. Read more: Why IBM recommends a data fabric architecture as a solution.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Ruben Falk is a Capital Markets Specialist focused on AI and data & analytics.

Data Warehouse 121

Data Warehouse Dashboards Risk Management Risk 121

AWS Big Data

APRIL 29, 2024

This system simplifies managing user access, saves time for data security administrators, and minimizes the risk of configuration errors. Addressing big data challenges – Big data comes with unique challenges, like managing large volumes of rapidly evolving data across multiple platforms.

Management 94

Management Big Data Metadata Data Warehouse 94

DataKitchen

JULY 3, 2023

Data Teams Already Have A Ton of Things To Get Done. Teams Did Not Build Current Architecture For Rapid And Low-Risk Changes Those Systems Teams have complicated in-place data architectures and tools and fear changes to what is already running. Automated DataOps significantly enhance cycle times.

Testing 130

Testing Risk Data-driven Statistics 130

CIO Business Intelligence

JUNE 28, 2023

Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.” The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

erwin

JULY 12, 2019

Modern, strategic data governance , which involves both IT and the business, enables organizations to plan and document how they will discover and understand their data within context, track its physical existence and lineage, and maximize its security, quality and value. Strengthen data security. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Marketing 123

Marketing Strategy B2B Cost-Benefit 123

erwin

JULY 9, 2020

For more info about how enterprise architecture differs from solutions, technical and data architecture, see: The Difference Between Enterprise Architecture and Solutions Architecture. The Difference Between Enterprise Architecture and Technical Architecture.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

JUNE 9, 2023

Enhanced customer satisfaction: Businesses can personalize their offerings by using customer data to improve customer support and enhance the overall customer experience. Reduced risk: Effective data management can help businesses mitigate risks, such as data breaches, compliance violations, and reputational damage.

Strategy 116

Strategy Management Key Performance Indicator ROI 116

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

MARCH 9, 2022

When looking to move large portions of their application portfolios to a cloud-first model, organizations should ensure their developers embrace well-defined, cloud-native principles, says Brian Campbell, principal at Deloitte, including the use of APIs, microservices, and a modern data architecture.

Strategy 145

Strategy Consulting Risk Testing 145

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.) Data risk assessment.

Data mining 62

Data mining Risk Modeling Risk Management 62

IBM Big Data Hub

JUNE 30, 2022

The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially. Competition plays harder, and every day, new business models and alternatives driven by data and digitalization surface in almost every industry.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

erwin

SEPTEMBER 13, 2022

Speakers will cover data intelligence and governance on the first day of the summit. Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 94

Enterprise Data Architecture Strategy Data Governance 94

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 105

IT Digital Transformation Internet of Things Data Architecture 105

CIO Business Intelligence

MAY 1, 2023

The complexity of an organization’s application landscape, along with the lack of perceived value in modernizing core applications to introduce new capabilities and enhance existing capabilities, introduces risk to both internal colleagues and external customers.

Consulting 59

Consulting Data Governance ROI Digital Transformation 59

AWS Big Data

APRIL 17, 2024

This delivery model allows customers to manage their own data, reducing dependency on AaaS providers and cutting data transfer costs. By keeping data in their own environment, customers can reduce the risk of data breach while benefiting from insights for better decision-making.

Data Warehouse 98

Data Warehouse Analytics Cost-Benefit Modeling 98

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 86

Insurance Risk Management Machine Learning Metadata 86

Cloudera

JANUARY 5, 2023

Through the Cloudera Data Platform, UOB has launched a deposit analytics solution to ensure it can build stable deposits with optimal pricing, and provide consistent and accurate views of deposits. The results are higher revenues, lower risks, and increased productivity for the bank.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

JULY 19, 2023

Are we taking too many risks? People can be afraid that if they try something new, and it fails, they risk their reputation,” he says. “We Artificial Intelligence, CIO, Data Architecture, Digital Transformation, IoT Platforms, IT Leadership, IT Strategy, Software Deployment, Software Development

IoT 92

IoT Manufacturing Software Strategy 92

AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China).

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

CIO Business Intelligence

JULY 6, 2022

Notably, Fujitsu’s PRIMEFLEX is an integrated system that includes pre-configured, pre-tested hybrid cloud-enabled systems – including those for VMware technologies – and all of the services needed to offer a fast path for the development of hybrid data architectures.

Digital Transformation 97

Digital Transformation Manufacturing Data Architecture Consulting 97

CIO Business Intelligence

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Shapers want to develop proprietary capabilities and have higher security or compliance needs.

Modeling 98

Modeling Sales Cost-Benefit Data Processing 98

CIO Business Intelligence

NOVEMBER 15, 2022

Veeam is all set to shift its selling strategy to appeal to CIOs with performance guarantees that could penalize the data replication, backup and recovery company if it fails to meet agreed-on outcomes. They need to hedge their risks. CIOs more and more seek outcomes, not just services,” said Anand Eswaran, CEO at Veeam.

Marketing 52

Marketing Business Objectives Data Architecture Risk 52

IBM Big Data Hub

JANUARY 25, 2023

Breaking down these silos to encourage data access, data sharing and collaboration will be an important challenge for organizations in the coming years. The right data architecture to link and gain insight across silos requires the communication and coordination of a strategic data governance program.

Data Governance 52

Data Governance Data-driven Strategy Management 52

Alation

APRIL 19, 2021

If an enterprise doesn’t have visibility into data, then the process can become time-consuming and costly. With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing?

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111