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

FineReport

FEBRUARY 25, 2020

Only by knowing the epidemic situation in time can we deploy timely prevention and control measures. Traditional paper and pen registrations have the risk of contracting viruses with each other, and managers can’t view the entry and exit records in real time. 2019’s Best Excel Reporting Tool that Reaches Far beyond Excel.

Data Collection 96

Data Collection IT Dashboards Reporting 96

Smart Data Collective

JUNE 3, 2019

They show statistics that 2.5 The promise of significant and measurable business value can only be achieved if organizations implement an information foundation that supports the rapid growth, speed and variety of data. Essentially, the lender is assessing the risk of giving you this requested money. Equity Amount.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

FineReport

FEBRUARY 25, 2020

Only by knowing the epidemic situation in time can we deploy timely prevention and control measures. Traditional paper and pen registrations have the risk of contracting viruses with each other, and managers can’t view the entry and exit records in real time. 2019’s Best Excel Reporting Tool that Reaches Far beyond Excel.

Data Collection 59

Data Collection IT Dashboards Reporting 59

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. In 2019, Netflix alone released 371 new TV shows and movies.

Risk 67

Risk ROI Modeling Metrics 67

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

CIO Business Intelligence

APRIL 7, 2022

The number of people quitting their jobs has been unprecedented throughout the pandemic, hitting a record high of 48 million people in 2020, up from 42 million in 2019, which was the previous record high. KPMG calculates a score for an employee’s risk of attrition, tries to identify a reason for that, and then suggests a remediation.

Consulting 145

Consulting Management Interactive Metadata 145

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

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. The probabilistic nature changes the risks and process required.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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

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

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics.

Statistics 27

Statistics Uncertainty Risk Marketing 27

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

JUNE 26, 2019

Or, dark data could open your company to regulatory risks if you cannot retrieve requested information during an audit. Instead of being overly concerned about the business investment required for that software, think of the risks to your company if you continue to ignore your unclassified data and the blind spots it causes.

ROI 103

ROI Statistics Machine Learning Measurement 103

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. 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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. Risk Management (most likely within context of governance). measuring value, prioritizing (where to start), and data literacy? See: Use Infonomics to Quantify Data Monetization Risks and Establish a Data Security Budget. Would really like to explore this one in debate. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. CFO Priorities Manage expenses and cash flow Enable profitable growth Contain risk Plan for the future Connect the Dots Do the math. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52