CIO Business Intelligence

OCTOBER 4, 2023

This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.” User data is also housed in this layer, including profile, behavior, transactions, and risk.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

FineReport

APRIL 9, 2024

Through interactive dashboards , these tools empower users across various departments to access and interpret data effectively. By leveraging advanced analytics capabilities, businesses can uncover hidden opportunities and potential risks within their datasets, allowing them to proactively address challenges and capitalize on emerging trends.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

JUNE 8, 2023

The demand for project managers has grown, with salaries for this role increasing by 15.6% Key skills for the role include resource allocation, risk and change management, quality assurance, communication, and leadership and team building. percent since 2021, according to Dice.

IT 140

IT Digital Transformation Software Risk 140

FineReport

AUGUST 13, 2021

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. An insurance KPI dashboard is to measure the performance and efficiency of insurance agents.

Insurance 52

Insurance Dashboards KPI Analytics 52

Smart Data Collective

SEPTEMBER 24, 2022

Endpoint security protection measures can also prevent or mitigate many of the worst types of cyberattacks. Unlike the previously mentioned techniques, man-in-the-middle (MITM) attacks do not rely on the user to install malware or interact with a compromised entity. Every year, businesses lose billions of dollars to cyberattacks.

Interactive 115

Interactive Risk Software Measurement 115

Smart Data Collective

AUGUST 6, 2020

Maritime cyber risk refers to a measure of the extent to which a technology asset could be threatened by a potential circumstance or event, which may result in shipping-related operational, safety or security failures as a consequence of information or systems being corrupted, lost or compromised.”. Assess risk exposure.

Risk 96

Risk Measurement Strategy Risk Management 96

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. Let’s consider an example about risk and opportunity event detection. Knowledge organization (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Smart Data Collective

JULY 4, 2021

Risk Management. Machine learning also reinforces cybersecurity and necessitates companies from various industries to tighten their security measures. Internet users have been giving away personal information in exchange for the fair use of services, purchases, and other interactions with online businesses.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

DataRobot

JULY 16, 2021

Accuracy — this refers to a subset of model performance indicators that measure a model’s aggregated errors in different ways. Best practices around the operation of a system (the software and people that interact with a model) are as pivotal to its trustworthiness as the design of the model itself.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

AWS Big Data

APRIL 12, 2023

With it, we found an intuitive product with rich visualizations that we could build and grow with rapidly, allowing us to innovate without monetary risks or being locked in to cumbersome contracts. As threat landscapes become increasingly more severe, managing human risk is critical to the success of the security program in any organization.

Dashboards 60

Dashboards Risk Data-driven Visualization 60

Smart Data Collective

SEPTEMBER 22, 2021

The risk of data breaches will not decrease in 2021. Data must be managed carefully , which means protecting it against security breaches. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. Avoid interacting with suspicious links.

Statistics 107

Statistics Risk Measurement Software 107

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. To meet this goal, it is redefining the EA components it measures to understand, for example, which data must be stored in which formats so it can be studied over time.

Enterprise 122

Enterprise Measurement Data-driven Software 122

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

CIO Business Intelligence

DECEMBER 21, 2023

In order to comply with the new Standard, the industry will need to adapt its existing security measures to meet the tightened security controls, calling for a comprehensive review and potential overhaul of its cybersecurity infrastructure. 1] That’s a great idea. But what about in-person payments? becomes the only Standard available.

Measurement 52

Measurement Risk Management Risk Management 52

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. AI projects in financial services and health care.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

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. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management.

Risk 96

Risk Marketing Risk Management Data-driven 96

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. Risk management, of course, is more relevant than ever, monitoring exposure to internal and external signals now. So the focus here is also to protect lives and livelihoods.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

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

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

DataRobot Blog

JULY 21, 2022

Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Discuss how the stakeholders want to interact with the machine learning model after it is built. dashes and parentheses in telephone numbers) Inconsistent units of measure (e.g.,

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

DataRobot

SEPTEMBER 16, 2021

The ability to charge more accurate premiums helps the company mitigate risk and maintain a competitive advantage, which, in turn, also benefits consumers. Exposure is a measure of the unit of risk for an insurance policy. Interactions + customer-controlled interactions. Loss cost modeling-related features.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

Cloudera

AUGUST 21, 2021

It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Better visibility of their customers assures banks that they are not exposing themselves to additional risks in the process. Compared to just two years ago, more customers are now digitally interacting with their bank.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Edge caches become crucial for managing data on its way from web servers to mobile devices. Her talk focuses on “Padlock”, which is a global key-management system at Spotify that also ?handles credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JANUARY 31, 2024

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 86

Marketing Analytics Visualization Strategy 86

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. How regulatory requirements interact.

Finance 98

Finance KPI Risk IoT 98

CIO Business Intelligence

MAY 17, 2022

A few years ago, the leadership realized that the banking industry is going to be dominated by great tech companies that manage risk exceptionally well. Risk management was always one of the core foundations of the company. How do you measure the data platform’s ROI and what are the results you’re seeing with Cassandra?

ROI 52

ROI Risk Marketing Modeling 52

O'Reilly on Data

OCTOBER 18, 2022

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. Data can be wrong. Predictions can be wrong. System designs can be wrong.

Risk Management 291

Risk Management Risk Testing Measurement 291

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. The ability to measure results (risk-reducing evidence). Interactive media plays a much larger role in our work than merely the presentations or blog posts.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Grooper

OCTOBER 23, 2019

I get to interact with a lot of companies who are on the leading edge of brilliant use-cases for innovating processes and workflows with data. By measuring performance, they drive improvements through necessary process and workflow changes. And how willing are key people to move away from current data management practices and tools?”.

Metrics 59

Metrics Measurement Strategy Optimization 59

Octopai

JULY 12, 2020

” – Andrew Stewardson, Data Risk Manager, FCSA. Octopai saved FCSA weeks of impact analysis research with automation.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

MARCH 24, 2022

Both data privacy and data security are critical to mitigate financial, reputational, and compliance risks for enterprises. It is critical that firms view data security as part of governance, risk management, and compliance (GRC). A bank vault has both security and privacy measures in place to protect the contents within.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 79

Management Risk Measurement Optimization 79

CIO Business Intelligence

APRIL 12, 2022

These instruments measure a variety of environmental factors such as temperature, tilt angle, shock, humidity and so on to ensure quality of goods in transit. Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105