datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Think of security, privacy, and compliance.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

JULY 15, 2022

While working with IT vendors can help ease the burden on IT, it also raises concerns, especially around data, risk, and security. Vendor management can better support IT governance, helping organizations keep a close eye on compliance and risk management. Vendor management certifications.

Management 122

Management Cost-Benefit Risk Software 122

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

CIO Business Intelligence

JULY 25, 2024

Further, the IT command center’s central data collection may differ in alerts. The cause may be configuration issues, a data exfiltration attempt, a ransomware attack, a false alert, or something else. These enhancements enable the SOC to proactively monitor, detect, and respond to security incidents in real time.

IT 111

IT Finance Consulting Reporting 111

CIO Business Intelligence

APRIL 12, 2022

Traditional supply chain analytics and decision-making focused on risk avoidance and control. The more data you have, the more costs you save.

IoT 105

IoT Analytics Manufacturing Internet of Things 105

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

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

Smart Data Collective

APRIL 9, 2020

This information is later provided, sold, and monopolized by corporations who are looking to make targeted advertising campaigns, collect user data, and much more. While this might be harmless in a way, not everyone is so calm about giving out their data. And not all data collection consists of mere browsing data.

Advertising 127

Advertising Data Collection Optimization Marketing 127

IBM Big Data Hub

MAY 28, 2024

A good DLM process can help organize and structure critical data, particularly when organizations rely on diverse types of data storage. It can also help them reduce vulnerabilities and ensure data is efficiently managed, compliant with regulations, and not at risk of misuse or loss.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. 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.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

CIO Business Intelligence

JUNE 22, 2022

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. How is data collected and used in the organization? What processes are in place to manage customer choice and rights? Who are the vendors and what are the contracts like?

IT 105

IT Insurance Cost-Benefit Risk Management 105

IBM Big Data Hub

JANUARY 19, 2023

They have been exceedingly clear in communicating with consumers what data is collected, why they’re collecting that data, and whether they’re making any revenue from it. They go to great lengths to integrate trust, transparency and risk management into the DNA of the company culture and the customer experience.

Risk Management 60

Risk Management Risk Data Strategy Strategy 60

Cloudera

SEPTEMBER 29, 2021

This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks. Providing more value to citizens through data. Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

Digital Transformation 83

Digital Transformation Data Governance Data-driven Machine Learning 83

IBM Big Data Hub

FEBRUARY 8, 2023

There is a growing need to proactively drive responsible, fair, and ethical decisions, designed to: Manage risk and reputation No organization wants to be in the news for the wrong reasons, and recently there have been a lot of stories in the press regarding issues of unfair, unexplainable, or biased AI.

Risk Management 52

Risk Management Risk Metadata Modeling 52

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. Integrating reporting to move to a more streamlined, efficient approach to data collection. This makes it easier to manage and update information as the industry changes.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Sisense

SEPTEMBER 3, 2020

Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. The Top 6 Benefits of Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

FineReport

JUNE 7, 2023

What Is A Project Management Dashboard? Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. Free Download of FineReport How To Create A Project Management Dashboard Effectively?

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

IBM Big Data Hub

MARCH 26, 2024

Businesses cannot prove there is no forced labor in their supply chain without working with procurement—to understand their supplier base, where they are located, and what might be high risk—let alone solution to embed proactive risk management in vendor onboarding.

Measurement 60

Measurement Metrics Strategy Reporting 60

Cloudera

FEBRUARY 14, 2018

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

Smart Data Collective

OCTOBER 26, 2019

Having cost-effective off-site backup allows companies to focus more on their methodology for backing up data than the price of that method. Closer sites for data storage mean lower cost, but a higher risk to the company. Big Data Storage Concerns. Further sites may be less cost-effective but more secure.

Big Data 67

Big Data Data Lake Cost-Benefit Measurement 67

FineReport

MARCH 24, 2024

They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes. Their role extends to managing information for corporate decision-making, improving reporting systems , and performing complex analyses. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

O'Reilly on Data

OCTOBER 18, 2022

Data can be wrong. When we use AI in security applications, the risks become even more direct. As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. Predictions can be wrong. System designs can be wrong.

Risk Management 362

Risk Management Risk Testing Measurement 362

CIO Business Intelligence

OCTOBER 2, 2024

It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. This can involve using diverse data sources, conducting regular bias audits and maintaining human oversight to ensure fairness at every stage.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

Jet Global

NOVEMBER 15, 2021

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; KPIs for Tax Departments – Tax Risk. Download Now.

Metrics 52

Metrics Reporting KPI Risk Management 52

datapine

AUGUST 29, 2022

The book has three main ideas: The biggest risk your company faces is investing a lot of time and resources into building something that the market doesn’t want. Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc.,

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

JULY 28, 2023

Understanding evolving market conditions and consumer behaviors in EMEA remains crucial for capitalizing on emerging opportunities and mitigating risks in this dynamic and competitive landscape. When searching for tax-management software, find one that automates data collection and processing.

Finance 52

Finance Uncertainty Reporting Forecasting 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.

Reporting 52

Reporting Marketing Forecasting Management 52

Jet Global

MAY 9, 2024

Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated). Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

David Menninger's Analyst Perspectives

JANUARY 28, 2025

Im focusing here on the environmental aspects of ESG compliance because they are the most challenging, especially in the data collection and analysis. Most of the data for the social elements are brought together and can be reported in existing systems, especially human capital management.

Software 130

Software Management Metrics Data Collection 130