CIO Business Intelligence

JUNE 13, 2022

You have to think about the day-to-day life of a clinician,” the COO of German software development company XANTAS AG observed, “and how laboratory values (measurements determining a patient’s health) can be overlooked. On a human level, Joerg Telle understands why medical errors occur. Crossing at the green.

Data Warehouse 98

Data Warehouse Manufacturing Software Machine Learning 98

Cloudera

FEBRUARY 15, 2024

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 87

Insurance Data Architecture Risk Management Risk 87

IBM Big Data Hub

JUNE 1, 2023

The rule proposal would require US publicly traded companies to disclose annually how their businesses are assessing, measuring and managing climate-related risks. This would include disclosure of greenhouse gas emissions as a measure of exposure to climate-related risk.

Risk 56

Risk Reporting Measurement Finance 56

Octopai

JULY 9, 2020

One example is the lineage methods that the banking industry has adopted to comply with regulations put in place following the 2007 financial collapse. A key piece of legislation that emerged from that crisis was BCBS-239. It required banks to develop a data architecture that could support risk-management tools.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Ontotext

MAY 19, 2021

This lack of transparency has also made the crucial task of measuring scientific impact extremely difficult despite it being important for the improvement of the ‘State of the Art’ and for more accurately evaluating an individual researcher’s impact in their field and more efficient allocation of funding for promising research.

Publishing 72

Publishing Measurement Data-driven Metrics 72

Sisense

MAY 12, 2019

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. If the main goal is to bring about efficiencies, shouldn’t there be some measurement available to make sure the target is being met? This is the ultimate measurement. The Process.

Analytics 79

Analytics Dashboards KPI Measurement 79

Octopai

JUNE 21, 2021

If Basel IV defines how to measure credit and operational risk for the purposes of capital reserve requirements, FRTB defines how to measure market risk for the same purpose. Backtesting their model with real pricing and holdings data dating back to 2007.

Risk 52

Risk Measurement Modeling Forecasting 52

CIO Business Intelligence

JUNE 12, 2023

Additionally, the updated COBIT framework bases performance management around the CMMI performance Management Scheme, which focuses on measuring capability and maturity levels. Later, in the 2000s, the ISACA developed version 3, which brought in the IT management and information governance techniques found in the framework today.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

Ontotext

MAY 26, 2021

Originally, the Gold Standard was a monetary system that required countries to fix the value of their currencies to a certain amount of gold, aiming to replace the unreliable human control with a fixed measurement that could be used by everyone. Simply put, we need to be able to measure and evaluate our results against clearly set criteria.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting.

Data Warehouse 127

Data Warehouse Dashboards Risk Management Risk 127

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Measuring Online Engagement: What Role Does Web Analytics Play? "Engagement" How Do I Measure Success?

KPI 125

KPI Metrics Measurement ROI 125

FineReport

APRIL 20, 2020

SAP acquired Crystal Reports in 2007. Crystal Report uses an accurate measurement. It requires setting the size of the form control by measuring the size of the invoice in advance, which is inefficient. Crystal Reports is a popular windows-based reporting tool that originated in 1991. Crystal Report Alternative. Page Printing

Reporting 84

Reporting OLAP Dashboards Data mining 84

Octopai

JUNE 16, 2021

The excessive financial risk-taking engaged in by banks on the eve of the 2007-2009 financial recession prompted new regulations to strengthen the supervision, regulation and risk management of banks. Basel III was drafted in 2010, with finalization and implementation set to take place over the next several years. Operational risk (i.e.

Management 52

Management Risk Management Risk Visualization 52

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

DataRobot Blog

MARCH 9, 2022

Whenever you test a machine learning method, it’s helpful to have a baseline method and accuracy level against which to measure improvements. This stands for term frequency-inverse document frequency , which gives a measure of the relative importance of each word in a set of documents. More advanced models.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Occam's Razor

MARCH 12, 2012

All the way back in 2007, I was evangelizing the value of moving away from the "small data" world of clickstream data to the "bigger data" world of using multiple data sources to make smarter decisions on the web. Here's the "bigger web analytics data" picture from 2007… Multiplicity!

Big Data 128

Big Data Data-driven Unstructured Data Marketing 128

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. 2007): Propose a finite collection $mathcal L={hat e_k:k=1,ldots,K}$ of estimation algorithms.

Statistics 44

Statistics Optimization Modeling Experimentation 44

The Unofficial Google Data Science Blog

APRIL 19, 2021

The numerical value of the signal became decoupled from the event it was measuring even as the ordinal value remained unchanged. However, downstream your $Pr(mbox{Spam})$ model just sees the shift and starts under-predicting spam because the upstream importance signal is telling it that they’re likely to be important.

Modeling 122

Modeling IT Metrics Testing 122

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Ramp-up solution: measure epoch and condition on its effect If one wants to do full traffic ramp-up and use data from all epochs, they must use an adjusted estimator to get an unbiased estimate of the average reward in each arm.

Experimentation 95

Experimentation Statistics Testing Knowledge Discovery 95

Occam's Razor

FEBRUARY 7, 2011

Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Additionally, it is exceptionally difficult to measure available demand because 1. Jon Whitehead: Why does the public service have such a massive aversion to measurement?

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

JANUARY 8, 2008

I was merrily using Time on Page and Time on Site metrics for quite some time before I actually realized how they were being measured. This would allow us to capture the time stamps accurately and have exact measures. 111.111.111.111 - - [ 08/Oct/2007:11:17:55 -0400 ] "GET / index.html HTTP/1.1" It was a real Doh (!)

Metrics 122

Metrics Measurement Analytics Reporting 122

O'Reilly on Data

DECEMBER 9, 2019

The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. Statisticians who believe that probability is a natural property of an event and is measured empirically as a long-run relative frequency are called frequentists.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). Frédéric Kaplan, Pierre-Yves Oudeyer (2007). 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. Large-Scale Study of Curiosity-Driven Learning”. Yuri Burda, et al.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Domino Data Lab

SEPTEMBER 25, 2019

We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. class(attClose) [1] "xts" "zoo" > head(attClose) T.Close 2007-01-03 34.95 2007-01-04 34.50 2007-01-05 33.96 2007-01-08 33.81 2007-01-09 33.94 2007-01-10 34.03.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Sisense

MAY 16, 2019

Economic performance was measured by GDP, and this is where modern Irish economic history and our study intersect. T he value of the Irish economy is now close to €300 billion, 56 percent higher than at the Celtic Tiger peak of 2007. The study looked at both air freight and air passenger traffic from the year 2000 to 2017.

Uncertainty 73

Uncertainty Reporting Dashboards Sales 73

Occam's Razor

OCTOBER 15, 2012

I spend 70% of my time in the US and for those discussions I'm primary looking at speed (connection above), mobile penetration (yes, 2007 was the year of mobile!), It is SUPER important to passionately measure the offline impact of your online efforts until the day you die (cue, dramatic music). It is an intense amount of effort.

Advertising 137

Advertising Marketing Strategy Insurance 137

Edwin Chen

MARCH 13, 2011

This is a summary of Bell and Koren’s 2007 Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights paper. I’m now (very slowly) trying to clean up my notes and put them online. Eventually, I hope to have a more integrated tutorial, but here’s a rough draft for now.).

Optimization 40

Optimization Modeling Cost-Benefit Measurement 40

Juice Analytics

OCTOBER 30, 2018

No offense, Tom, but we were griping about ivory tower analytics back in 2007.). Their success is measured by fixing a problem rather than in terabytes of data stored. He postulated that the next generation of analytics would be driven by purposeful data products designed by the teams who understand customers and business problems. (No

IT 59

IT Data Lake Big Data Data-driven 59

Cloudera

DECEMBER 11, 2017

And, while measuring the global progress on human rights is still a work in progress, assessments at the country level confirm what we see daily on the news. Sadly, more than 80 years later his statement is as relevant today as it was in 1946.

Strategy 40

Strategy Data-driven Reporting Data Processing 40

datapine

DECEMBER 28, 2021

These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case. This means that there is no definable justification for the placement of the visible measurement lines. In 2007, Colgate was ordered by the Advertising Standards Authority (ASA) of the U.K.

Statistics 363

Statistics Advertising Visualization Data mining 363