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

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. OCR is widely used to digitize all kinds of physical documentation. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. OCR is widely used to digitize all kinds of physical documentation. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 363

Marketing Experimentation Metrics Testing 363

DataRobot Blog

SEPTEMBER 1, 2022

Imagine yourself as a pilot operating aircraft through a thunderstorm; you have all the dashboards and automated systems that inform you about any risks. But many of the things you need to measure for your business are hyperspecific for your unique problems and opportunities — specific business KPIs or data science secrets.

Metrics 145

Metrics Statistics Modeling Data Science 145

CIO Business Intelligence

FEBRUARY 13, 2023

The name references the Greek letter sigma, which is a statistical symbol that represents a standard deviation. The process aims to bring data and statistics into the mesh to help objectively identify errors and defects that will impact quality. Six Sigma was trademarked by Motorola in 1993.

Management 72

Management Statistics Manufacturing Measurement 72

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.

Machine Learning 198

Machine Learning Modeling Testing Risk Management 198

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

bridgei2i

OCTOBER 7, 2020

The unprecedented circumstances surrounding pandemic have increased awareness around insurable risks across different financial losses that can be covered as everyone in the world have faced financial losses like unemployment, travel cancellation, health issues, business interruptions, etc. Underwriting.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. It provides the occasion for deeper exploration of which inputs that can be influenced and which risks can be proactively managed.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

FineReport

DECEMBER 29, 2021

For example, track the efficacy of particular sales efforts using a measure or KPI (Key Performance Indicator). The time to hire is an essential measure in recruitment. The ‘cost per hiring (CPH)’ statistic, like the ‘time to hire’, illustrates how much it costs to acquire new personnel. Time to hire.

KPI 52

KPI Metrics Dashboards Key Performance Indicator 52

Smart Data Collective

DECEMBER 18, 2020

The collected data is encrypted and sent using the Google Analytics Measurement Protocol,” the Kaspersky report notes. . Google Analytics software is free to use and helps website owners and marketers alike to measure the traffic arriving from other sites and external sources to their own. Stealing Credit Cards With Google Analytics.

Analytics 83

Analytics Broadcasting Measurement Data Processing 83

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. To answer those questions, I put together a document shared Google-wide which I optimistically and simply titled “Good Data Analysis.”

Metrics 107

Metrics Measurement Statistics Data Collection 107

Smart Data Collective

JULY 1, 2021

AI technology helps in the right, so all companies should use AI-driven cybersecurity measures to protect against it. Ransomware likes to target documents, spreadsheets, images, and just about anything else with a filename that appears important. Become Familiar with Ransomware Statistics.

Technology 82

Technology Machine Learning Statistics Data-driven 82

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. Machine learning developers are beginning to look at an even broader set of risk factors.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

FineReport

APRIL 11, 2023

Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics. In many enterprises, BI and IT professionals still design and maintain dashboards for users and also document them and track usage.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Domino Data Lab

AUGUST 8, 2019

The second rule of Foo Camp concerns a practice called “FrieNDA” where people speak candidly and others respect that without either (1) “Oh gosh I must live tweet stream this amazing insight” or (2) anybody having to sign legal documents. The probabilistic nature changes the risks and process required. Sci Foo 2019.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

MAY 2, 2019

Make sure your audience understands the timeframe portrayed and try to document or label this applied filter somewhere. They are great for displaying a single value/measure within a quantitative context, such as to the previous period or to a target value. With a table, you can display a large number of precise measures and dimensions.

Visualization 173

Visualization Dashboards Sales KPI 173

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. Identification We now discuss formally the statistical problem of causal inference. we drop the $i$ index.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

MARCH 14, 2024

AI has already found its way into many government departments, with the most common use of AI identified by the NAO being to support operational decision-making through automated document analysis, digital assistant functionality, and image recognition. Safety standards There is an element of caution to government departments’ approach.

Testing 101

Testing Risk Digital Transformation Statistics 101

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. This was not statistic and we have not really explored this in any greater detail since. I suspect we should. – Yes and no.

Analytics 64

Analytics Measurement Modeling Data-driven 64

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

As COVID-19 continues to spread, organizations are evaluating and adjusting their operations in terms of both risk management and business continuity. One example is the European Union (EU) Open Data Portal , which is used to document, catalog and govern EU data related to the pandemic.

Measurement 96

Measurement Sales Data Governance Metadata 96

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 227

Modeling Machine Learning Predictive Modeling Consulting 227

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. Increased variance: Variance measures consistency.

Enterprise 72

Enterprise Data Integration Data Quality Contextual Data 72

CIO Business Intelligence

APRIL 7, 2022

KPMG calculates a score for an employee’s risk of attrition, tries to identify a reason for that, and then suggests a remediation. But the AI tool can help measure employee moods. Prior to the pandemic, new hires would read documentation, watch videos, and then sit in a classroom. Previously, Genpact used surveys, he says.

Consulting 136

Consulting Management Interactive Metadata 136

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing. And it can look up an author and make statistical observations about their interests.

IT 271

IT Modeling Testing Risk 271

Domino Data Lab

AUGUST 26, 2019

To clarify these terms, some technical documents use the name actual argument/parameter and formal argument/parameter. If you look at the documentation, you’ll see that n_neighbors and p are simply integers. Beyond this, we also get a measure of the variability. Choice and Assessment of Statistical Predictions by Stone.

Testing 79

Testing Modeling Machine Learning Metrics 79

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. applies external authoritative standards from laws, regulations, and AI risk management frameworks.

Risk Management 297

Risk Management Risk Testing Measurement 297

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

Jet Global

MAY 15, 2020

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. This key financial metric gives a snapshot of the financial health of your company by measuring the amount of cash generated by normal business operations. What is a Financial KPI?

Metrics 98

Metrics Finance Reporting KPI 98

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. Additionally, numerous case studies on risk management, fraud detection, customer relationship management, and web analytics are included and described in detail.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

NOVEMBER 25, 2020

For example, it includes patient samples (blood, blood pressure, temperature, and more), patient information (age, gender, where they have lived, family situation, and other details), and treatment history, most of which is currently found only in paper documents.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Sisense

SEPTEMBER 3, 2019

When it comes to picking your node type, while it is easy to see the storage of the Dc2.8xlarge and chose it because it is the largest, if you don’t have the need for that node type, you risk losing out on the benefits of having a distributed database that can process your query in parallel across all of your nodes. Sort & Dist Keys.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

CIO Business Intelligence

JULY 6, 2023

Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says. We’re equipping this tool with a private ‘knowledge base’ of AT&T-specific data, with chat enabled to get answers directly from these internal AT&T documents and materials.”

Cost-Benefit 114

Cost-Benefit Technology Unstructured Data Testing 114