IBM Big Data Hub

SEPTEMBER 13, 2023

The role of attack surface management in data breach containment Despite employing an arsenal of cybersecurity measures to protect sensitive data, many organizations find themselves in a relentless race against time, as they strive to bridge the gap between the moment a data breach occurs and when it is effectively contained.

Risk 93

Risk Management Strategy Measurement 93

IBM Big Data Hub

OCTOBER 9, 2023

Unified endpoint management (UEM) and medical device risk management concepts go side-by-side to create a robust cybersecurity posture that streamlines device management and ensures the safety and reliability of medical devices used by doctors and nurses at their everyday jobs.

Risk Management 76

Risk Management Risk Management Measurement 76

IBM Big Data Hub

APRIL 25, 2023

Environmental, Social, and Governance (ESG) risk management has emerged as a critical aspect of business strategy for companies worldwide. However, 57% of CEOs admit that defining and measuring the Return on Investment (ROI) and economic benefits of their sustainability efforts remain a significant challenge. Conduct ESG assessments.

Risk Management 78

Risk Management Risk Management Metrics 78

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. In other words, UPS found that turning into oncoming traffic was causing a lot of delays, wasted fuel, and increased safety risk. Your Chance: Want to test a professional logistics analytics software?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

DataKitchen

NOVEMBER 5, 2024

An iterative DataOps cycle starts with measuring data to establish a baseline, followed by evaluating data quality through scoring systems that assess key metrics like accuracy, completeness, and consistency. Documentation and analysis become natural outcomes, not barriers to progress.

Data Quality 195

Data Quality Testing Metrics Reporting 195

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. The fact is that it is and will affect our lives, whether we like it or not.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. Intraday VaR. Citations. [1]

Risk 99

Risk Marketing Risk Management Data-driven 99

datapine

FEBRUARY 14, 2021

The shorter the conversion cycle the better, and this invaluable supply chain metric will help you take the right measures to ensure that you can run your business with less money tied up in operations. The days sales outstanding (DSO) KPI measures how swiftly you are able to collect or generate revenue from your customers.

Metrics 260

Metrics KPI Dashboards Sales 260

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

Insurance 68

Insurance Risk Testing Data Quality 68

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? (2) Why should your organization be doing it and why should your people commit to it? (3) In short, you must be willing and able to answer the seven WWWWWH questions (Who?

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

datapine

OCTOBER 11, 2023

A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations. It allows for informed decision-making and efficient risk mitigation. Let’s dive in with the definition. What Is A Warehouse KPI?

Metrics 217

Metrics KPI Management Cost-Benefit 217

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

JANUARY 24, 2021

Once you have your data analytics questions, you need to have some standard KPIs that you can use to measure them. OK – so far, you’ve picked out some data analysis questions, and you’ve found KPIs to measure them. There are basically 4 types of scales: *Statistics Level Measurement Table*. Did the best according to what?

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

DECEMBER 8, 2023

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

Risk 67

Risk Strategy Risk Management Insurance 67

O'Reilly on Data

MAY 14, 2020

In addition, the Research PM defines and measures the lifecycle of each research product that they support. Lack of a specific role definition doesn’t prevent success, but it does introduce the risk that technical debt will accumulate as the business scales. Conclusion.

Management 364

Management Experimentation B2B Machine Learning 364

DataKitchen

SEPTEMBER 20, 2021

Minimize Deployment Risk. Measurement DataOps. Once you’ve made progress with your production and development processes, it’s time to start measuring and improving your processes with Measurement DataOps. Productivity – Measure team productivity by the number of tests and analytics created. Enterprise DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

Smart Data Collective

MAY 4, 2023

Unfortunately, there are often many weak links in the data security infrastructure, which can increase the risks of data breaches. As data breaches continue to be a serious concern, organizations need to take stringent measures to protect against them. These steps can help reduce the risks of data breaches.

Risk Management 113

Risk Management Key Performance Indicator Measurement Risk 113

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. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

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. IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

CIO Business Intelligence

MAY 28, 2024

OpenAI’s creation of a new safety committee at board level follows a string of departures and bad publicity around the company’s attitude to safety, including the dispersal of a “superalignment” team focused on long-term risks led by ex-chief-scientist Ilya Sutskever, who left the company two weeks ago. He’s not alone in that believe.

Risk 116

Risk Risk Management Consulting Modeling 116

datapine

AUGUST 12, 2020

The importance of this finance dashboard lays within the fact that every finance manager can easily track and measure the whole financial overview of a specific company while gaining insights into the most valuable KPIs and metrics. These are perks that will make your business stronger, more fluent, and more efficient on a sustainable basis.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

AWS Big Data

OCTOBER 29, 2024

This makes sure that only authorized users or applications can access specific data sets or portions of data, but also reduces the risk of unauthorized access or data breaches. At one point, 25% of all data assets in the CDH were duplicates, a natural consequence of these measures.

Data Lake 107

Data Lake Sales Metadata Machine Learning 107

IBM Big Data Hub

AUGUST 3, 2023

Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. Software downtime is a huge organizational risk because it decreases customer satisfaction and potentially violates a service-level agreement with end users.

Measurement 63

Measurement Metrics Risk Data Collection 63

DataKitchen

NOVEMBER 18, 2021

As requests pile up, the data analytics team risks being viewed as bureaucratic and unresponsive. Instead, you’ll focus on managing change in governance policies and implementing the automated systems that enforce, measure, and report governance. Measure your processes (and improve them). In other words, governance-as-code.

Testing 246

Testing Data Governance Measurement Software 246

TDAN

NOVEMBER 6, 2024

The risk and promise of AI are high in equal measure, and it’s up to AI-using enterprises to leverage this revolutionary technology sensibly […] The rapid adoption of artificial intelligence (AI) in data archiving for IT operations has transformed how organizations manage vast amounts of information.

IT 52

IT Measurement Risk Enterprise 52

CIO Business Intelligence

MARCH 3, 2024

One component of corporate IT that has long been ‘in range’ for cyber criminals that is often overlooked when protection measures are being put in place are multifunction printers – widely used in almost every organisation. Fortunately, there are tools available to deal with the specific security challenges presented by printers.

IT 111

IT Measurement Risk Reporting 111

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

AUGUST 8, 2024

But there’s good news: When organizations leverage open source in a deliberate, responsible way, they can take full advantage of the benefits that open source offers while minimizing the security risks. Just because everyone can help to make open source more secure doesn’t mean everyone actually does. Those practices remain important today.

Software 126

Software Enterprise Cost-Benefit Risk 126

Smart Data Collective

SEPTEMBER 22, 2021

The risk of data breaches will not decrease in 2021. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021.

Statistics 133

Statistics Risk Measurement Software 133

datapine

NOVEMBER 15, 2022

Product metrics are quantitative performance measurements used by businesses to gain insights into various areas like product development, pricing, quality, and more. They can evaluate architectural measures, quality measures, software complexity, or functional size. What Are Product Metrics?

Metrics 141

Metrics KPI Measurement Dashboards 141

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. Uncertainty is a measure of our confidence in the predictions made by a system.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

Cloudera

MAY 24, 2022

I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. I discussed the complex modeling considerations of physical, transition, and alignment risks in a prior post about climate risk models. .

Risk 89

Risk Measurement Modeling Risk Management 89

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

Risk 70

Risk Modeling Management Metadata 70

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 97

ROI Data Analytics Analytics Risk Management 97

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? Under Velocity, the Mean Time to Deliver Data metric measures the time it takes to deliver data. The Data Change Request Ratio metric measures the rate of business demand for data. The Mean Time to Recovery metric measures how quickly defects can be resolved. Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

O'Reilly on Data

MARCH 20, 2019

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score. Newer types of fair and private models (e.g.,

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Cloudera

APRIL 20, 2022

One of our insurer customers in Africa collected and analyzed data on our platform to quickly focus on their members that were at a higher risk of serious illness from a COVID infection. These segments were based on risk profiles, and the insurer implemented tailored plans to support each segment.

Insurance 101

Insurance Measurement Data Lake Risk 101