IBM Big Data Hub

DECEMBER 8, 2023

The only thing left to do is to let the risks play out and monitor them continuously. An organization is always changing and so are business needs; therefore, it’s important that an organization has strong metrics for tracking over time each risk, its category and the corresponding mitigation strategy.

Risk 74

Risk Strategy Risk Management Insurance 74

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 88

Strategy Management Forecasting Cost-Benefit 88

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 86

Measurement Metrics Reporting Strategy 86

IBM Big Data Hub

SEPTEMBER 6, 2023

A continuous vulnerability management process helps stop cyberattacks—and soften the blow of those that succeed—by finding and fixing flaws before threat actors can weaponize them. The vulnerability management lifecycle Corporate networks are not static.

Management 108

Management Metrics Risk Reporting 108

IBM Big Data Hub

FEBRUARY 13, 2024

It also can help optimize transportation costs and service-level agreements as well as improve inventory management and visibility. Sign up for a 30-day free trial here Risk management Supply chains are under tremendous stress, facing challenges from supply, demand, logistics and shifting industry landscapes.

Cost-Benefit 86

Cost-Benefit Scorecard Risk Recreation/Entertainment 86

IBM Big Data Hub

DECEMBER 14, 2023

IBM is supporting clients across industries in their cybersecurity journey by providing comprehensive security capabilities to help make it easier to simplify their risk management and demonstrate regulatory compliance postures.

Risk 92

Risk Enterprise Digital Transformation Risk Management 92

IBM Big Data Hub

MARCH 4, 2024

Pairing existing cloud governance with new AI governance controls is essential, requiring continual focus to comply with emerging regulatory changes, such as NIST AI Risk Management Framework, the European Union’s Artificial Intelligence act, ISO/IEC 42001 AI Management, and ISO/IEC 23894 AI Risk Management.

Enterprise 106

Enterprise ROI Risk Strategy 106

IBM Big Data Hub

DECEMBER 13, 2023

Additional goals might be risk management and mitigation, supplier relationship management and sustainability considerations. These metrics should align with the defined business objectives and provide quantifiable benchmarks for evaluating performance. Provide necessary training to ensure procurement success.

Strategy 72

Strategy Cost-Benefit Key Performance Indicator Consulting 72

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

DECEMBER 15, 2023

Sustainable businesses keep track of these metrics to be more proactive with their sustainability efforts. They span business strategy, ESG data, risk management and reporting, circular supply chains, reduced carbon emissions and the energy transition to renewable energy, intelligent assets, responsible computing and green IT.

Consulting 73

Consulting Manufacturing Strategy Risk Management 73

IBM Big Data Hub

JUNE 13, 2022

” Examples of RegTech include chatbots that can advise on regulatory questions, cloud-based platforms for regulatory and compliance data management, and computer code that enables more automated processing of data relating to regulations [9]. References. [1] 1] [link]. [2] 2] [link]. [3] 3] [link]. [4] 4] [link]. [5]

Risk 98

Risk Risk Management Data-driven Metrics 98

IBM Big Data Hub

JUNE 29, 2023

Risk management IBP facilitates proactive risk management by considering various scenarios and identifying potential risks and opportunities. By analyzing data and conducting what-if analyses, companies can develop contingency plans and mitigate risks before they materialize.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

IBM Big Data Hub

JULY 27, 2023

Risk management : Because EAM offers a comprehensive view of all critical assets, it can be an invaluable tool for identifying potential risks, empowering companies to take preemptive steps to avoid accidents and operational disruptions. It can also significantly increase uptime and lifespan.

Cost-Benefit 60

Cost-Benefit IoT Internet of Things Enterprise 60

AWS Big Data

APRIL 12, 2023

As threat landscapes become increasingly more severe, managing human risk is critical to the success of the security program in any organization. With QuickSight, we were able to rapidly innovate, developing valuable data products at a speed we could not have otherwise.

Dashboards 60

Dashboards Risk Data-driven Visualization 60

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smart Data Collective

JUNE 3, 2021

Analytics tools enable companies to assess the performance of employees across various metrics and find ways to improve performance. Making better risk assessments. Risk management is one of the most important elements of financial planning. Analytics tools help companies develop better risk scoring models.

Management 91

Management Finance Analytics Analytics Technologies 91

IBM Big Data Hub

AUGUST 28, 2023

Evaluate the performance of the text-mining models using relevant evaluation metrics and compare your outcomes with ground truth and/or expert judgment. Crisis management and risk management: Text mining serves as an invaluable tool for identifying potential crises and managing risks.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

IBM Big Data Hub

JULY 12, 2023

Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness. RTO is usually measured with a simple time metric, such as days, hours or minutes.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 80

Risk Management Risk Metrics Machine Learning 80

IBM Big Data Hub

APRIL 4, 2024

By connecting workflow management, centralizing data management , and fostering collaboration and communication, BPM enables organizations to remain competitive by providing access to accurate and timely data. BPM can also provide real-time visibility into claim status and performance metrics.

Management 59

Management Cost-Benefit Metrics Consulting 59

IBM Big Data Hub

MARCH 26, 2024

Our clients are improving their ability to measure and track progress against ESG metrics, while concurrently operationalizing sustainability transformation. Data not only provides the quantitative requirements for ESG metrics, but it also provides the visibility to manage the performance of those metrics.

Measurement 67

Measurement Metrics Strategy Reporting 67

IBM Big Data Hub

APRIL 3, 2024

These new rules join existing regulations in both the US and around the world requiring companies to make climate-related disclosures and provide other ESG-related metrics. The original proposed rules, issued in March 2022, aimed to ensure consistency in how publicly traded companies provided climate-related information to investors.

Risk 57

Risk Gap analysis Reporting Risk Management 57

IBM Big Data Hub

JULY 28, 2023

In response, enterprises have made vulnerability management a key component of their cyber risk management strategies. The vulnerability management lifecycle offers a formal model for effective vulnerability management programs in an ever-changing cyberthreat landscape.

Management 68

Management Metrics Risk Measurement 68

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 79

Testing Consulting Digital Transformation Cost-Benefit 79

IBM Big Data Hub

FEBRUARY 15, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important as it relates to a company’s business model, risk management strategy , reporting requirements and more. This lack of meaningful metrics isn’t necessarily by design, though.

Reporting 84

Reporting Consulting Risk Metrics 84

Cloudera

MARCH 18, 2021

A single, enterprise-wide platform or coordinated approach for storing and maintaining data can facilitate alignment between the front office, risk management, and finance, setting the stage for a more seamless transition.

Risk 55

Risk Machine Learning Risk Management Measurement 55

IBM Big Data Hub

APRIL 21, 2023

CSRD values sustainability metrics alongside environmental performance, paying particular attention to the “S” in ESG, such as employee health, human rights, bribery, anti-corruption and diversity. Companies that are already subject to the NFRD will need to report on 2024 data (reporting year 2025).

Reporting 44

Reporting Metrics Risk Strategy 44

IBM Big Data Hub

FEBRUARY 22, 2024

Co-chair Trusted AI committee Linux Foundation AI Contributed to the NIST AI Risk Management Framework; engage with NIST in the area of AI metrics, standards, and testing Curating responsible AI is a multifaceted challenge because it demands that human values be reliably and consistently reflected in our technology.

Metadata 101

Metadata Measurement Risk Modeling 101

Grooper

OCTOBER 23, 2019

So what’s the big picture view? Can you see how information management will transform data into a legitimate asset that fuels enterprise-wide goals? For example, business growth, profits, cost and performance optimization, efficiency, compliance, and risk management. So how do you get there? They are: Vision.

Metrics 59

Metrics Measurement Strategy Optimization 59

AWS Big Data

JANUARY 31, 2024

TB distributed across approximately 200 compressed Parquet files Analysis overview Analyzing OPRA Tick History data for Transaction Cost Analysis (TCA) involves scrutinizing market quotes and trades around a specific trade event. TB distributed across approximately 300 compressed Parquet files NBBO – 2.8

Marketing 82

Marketing Analytics Visualization Strategy 82

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 Data-driven Machine Learning 66

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

AUGUST 14, 2023

Goals of DPPM The goals of DPPM can be summarized as follows: Protect value – DPPM protects the value of the organizational data strategy by developing, implementing, and enforcing frameworks to measure the contribution of data products to organizational goals in objective terms. Monitoring and Event Management X X.

Management 76

Management Risk Measurement Optimization 76

Andrew White

JANUARY 11, 2021

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Saul Judah is our main person focusing on D&A risk management. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

Job schedulers help coordinate the pipeline’s different stages and manage dependencies between tasks. Monitoring can include tracking performance metrics such as execution time and resource usage, and logging errors or failures for troubleshooting and remediation.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52