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 88

Insurance Data Architecture Risk Management Risk 88

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 103

Data-driven Digital Transformation Risk Risk Management 103

Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. A successful breach can result in loss of money, a tarnished brand, risk of legal action, and exposure to private information. Cybersecurity aims to stop malicious activities from happening by preventing unauthorized access and reducing risks.

Technology 123

Technology Risk Measurement Data-driven 123

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

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.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

IBM Big Data Hub

JUNE 29, 2023

By integrating financial planning with strategic and operational planning, organizations can evaluate financial profitability, identify potential gaps or risks, and make necessary adjustments to achieve financial targets. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

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 98

Analytics Insurance Big Data Uncertainty 98

erwin

FEBRUARY 4, 2021

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Automate code generation : Alleviate the need for developers to hand code connections from data sources to target schema.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

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 122

Enterprise Measurement Data-driven Software 122

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

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 83

Insurance Risk Data-driven Finance 83

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 98

Software Reporting KPI Enterprise 98

Ontotext

APRIL 6, 2023

This model is used in various industries to enable seamless data integration, unification, analysis and sharing. More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smart Data Collective

SEPTEMBER 25, 2019

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands.

Technology 102

Technology Statistics Strategy Insurance 102

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. We bundle these events under the collective term “Risk and Opportunity Events” This post is part of Ontotext’s AI-in-Action initiative aimed to empower data, scientists, architects and engineers to leverage LLMs and other AI models.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. It’s not just about granting proper access to data science teams.

Metadata 56

Metadata Machine Learning Data-driven Risk 56

FineReport

APRIL 9, 2024

Moreover, BI platforms provide the means for organizations to harness their data assets effectively, leading to improved customer satisfaction through personalized services and targeted marketing initiatives. This includes structured, unstructured, and real-time data, ensuring that the platform can handle diverse data types effectively.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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

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. In other words, data can only be persisted if it is first encrypted.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Because it is that important. Pursue a phased approach.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

AUGUST 7, 2024

It automated and streamlined complex workflows, thereby reducing the risk of errors and enabling analysts to concentrate on more strategic tasks. Its AI/ML-driven predictive analysis enhanced proactive threat hunting and phishing investigations as well as automated case management for swift threat identification. million.

IT 119

IT Insurance Cost-Benefit Testing 119

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 119

Cost-Benefit Technology Unstructured Data Testing 119

Cloudera

SEPTEMBER 10, 2024

OCBC Bank ’s adoption of AI has effectively impacted revenue generation and better risk management. Trusting AI equates to trusting the data it uses, meaning it must be accurate, consistent, and unbiased. Know Your Data, Know Your Intent. In addition, it has improved developers’ efficiency by 20%.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52

Alation

DECEMBER 8, 2022

It’s true that data governance is related to compliance and access controls, supporting privacy and protection regulations such as HIPAA, GDPR, and CCPA. Yet data governance is also vital for leveraging data to make business decisions. Data privacy and protection. Risk and regulatory compliance.

Data Governance 52

Data Governance Data-driven Reporting Strategy 52

David Menninger's Analyst Perspectives

JANUARY 16, 2025

While there is no definitive date set for Q-Day, we are approaching a critical juncture where traditional cryptographic techniques may no longer suffice to protect sensitive data, digital communications and transactions. Proactive measures are essential for enterprises aiming to safeguard against the impending Q-Day risks.

Enterprise 147

Enterprise Risk Measurement Risk Management 147

CIO Business Intelligence

FEBRUARY 13, 2025

Without robust security and governance frameworks, unsecured AI systems can erode stakeholder trust, disrupt operations and expose businesses to compliance and reputational risks. The risks of unsecured AI Unlike traditional IT systems, AI is uniquely susceptible to novel attack vectors such as: Adversarial attacks. Holistic approach.

Risk 116

Risk Data-driven Finance Risk Management 116

Jet Global

OCTOBER 28, 2024

However, many other tasks still require a high level of manual effort due to limitations in automation, increasing inefficiencies, and the risk of mistakes. Some tasks, such as account reconciliation (38%), ad-hoc custom reports (33%), or data entry (30%), are still conducted manually.

Reporting 52

Reporting Finance Recreation/Entertainment Data-driven 52

Jet Global

NOVEMBER 16, 2022

risk and compliance management. management satisfaction. Compliance Risk Management. Also known as integrity risk, compliance risk management can help your company navigate properly through the hoops of your industry’s laws and regulations. Integrated, Real-time Updates.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

JANUARY 14, 2025

These are valid fears, as companies that have already completed their cloud migrations reported integration challenges and user skills gaps as their largest hurdles during implementation, but with careful planning and team training, companies can expect a smooth transition from on-premises to cloud systems.

Finance 52

Finance Reporting Cost-Benefit Software 52

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 143

Technology Enterprise Consulting Software 143

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. What is the difference between ETL and data pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 29, 2023

To be considered, product capabilities must include close management, financial consolidation, financial statement reconciliation and journal entry processing. Optional capabilities include financial reporting risk management and disclosure management. Extensive Data Integration.

Reporting 52

Reporting Marketing Forecasting Management 52

Jet Global

JULY 31, 2022

Other related tasks that saw big jumps in prioritization for finance were “management of company’s investments,” “internal risk management,” and “short-term business strategy,” all of which carry strong strategic importance.

Finance 52

Finance Forecasting Operational Reporting Reporting 52

Jet Global

MARCH 17, 2025

Without streamlined processes and automated data integration, organizations risk falling behind in an increasingly fast-paced market. EPM solutions eliminate these bottlenecks by automating repetitive financial tasks such as data entry, consolidation, and report generation.

Finance 52

Finance Reporting Forecasting Risk 52