CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Data Science 137

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

Cloudera

AUGUST 21, 2021

There is now greater demand for business and customer intelligence and traditional methods of batch processing can no longer cope with the influx of data, most of which is unstructured. The bank established the Enterprise Information & Decision Platform (EIDP) as a single source of truth running data integration on the Cloudera platform.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

IBM Big Data Hub

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

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 Key Performance Indicator Data Governance Data Quality 111

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

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. .

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Smart Data Collective

OCTOBER 26, 2023

Subjects such as incident response, risk management, access control, and cryptography fall under this category. Successful risk management requires analyzing potential threats, pinpointing areas of weakness, and putting forth concrete plans to address those areas. How to become a cybersecurity specialist?

Technology 123

Technology Risk Measurement Data-driven 123

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

That requires enterprise architects to work more closely with risk management and security staff to understand dependencies among the components in the architecture to better understand the likelihood and severity of disruptions and formulate plans to cope with them.

Enterprise 122

Enterprise Measurement Data-driven Software 122

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

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smart Data Collective

SEPTEMBER 25, 2019

Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands. It Supports Data Integrity. Something else to keep in mind about encryption technology for data protection is that it helps increase the integrity of the information alone.

Technology 102

Technology Statistics Strategy Insurance 102

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. AI-ify risk management.

Insurance 83

Insurance Risk Data-driven Finance 83

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Investors make informed decisions about buying, holding, or selling stocks by analyzing these events.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

SEPTEMBER 20, 2022

Ultimately, data management and providing users access to the right data at the right time are at the core of successful AI and AI governance. With IBM Cloud Pak® for Data , you can formalize a workflow that allows different teams to interact with your model at various stages.

Metadata 56

Metadata Machine Learning Data-driven Data Science 56

FineReport

APRIL 9, 2024

Comparing Leading BI Tools Key Features and Capabilities When comparing leading business intelligence software tools and data analysis platforms , it is essential to evaluate a range of key features and capabilities that contribute to their effectiveness in enabling informed decision-making and data analysis.

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. Those days are long gone if they ever existed. a second priority?at

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

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

CIO Business Intelligence

AUGUST 7, 2024

The new system reduces administrative workload and minimizes the risk of errors and noncompliance, thereby enhancing operational efficiency and risk management. Indeed, the company has reaped big returns.

IT 119

IT Insurance Cost-Benefit Testing 119

Alation

DECEMBER 8, 2022

At the risk of introducing yet another data governance definition, here’s how Forrester defines the term: A suite of software and services that help you create, manage, and assess the corporate policies, protocols, and measurements for data acquisition, access, and leverage. Data privacy and protection.

Data Governance 52

Data Governance Data-driven Reporting Strategy 52

David Menninger's Analyst Perspectives

JANUARY 16, 2025

However, both scenarios necessitate a proactive approach that prioritizes risk management strategies and cross-departmental collaboration. Assess Risk to Q-Day Vulnerabilities: Evaluate the organizations encryption landscape to identify any weaknesses stemming from outdated cryptographic methods.

Enterprise 147

Enterprise Risk Measurement Risk Management 147

CIO Business Intelligence

FEBRUARY 13, 2025

Regulatory frameworks like the EU AI Act and NIST AI Risk Management Framework are shaping expectations around responsible AI deployment. Balancing security, ethics and strategic investments Securing AI systems requires a balanced approach that integrates technical rigor with strategic foresight: Invest in AI-specific security.

Risk 116

Risk Data-driven Finance Risk Management 116

Jet Global

OCTOBER 28, 2024

This inefficiency highlights the need to streamline processes and improve data management, including automated data integration. These solutions empower Oracle finance teams to focus on higher-value activities, such as financial planning and analysis, risk management, and driving business growth.

Reporting 52

Reporting Finance Recreation/Entertainment Data-driven 52

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

Jet Global

NOVEMBER 16, 2022

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. And for financial data, integrate and pull directly from your existing ERP to create reports.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

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