Data Science and Beyond

APRIL 5, 2021

My track record of posting here has been pretty poor in 2020, partly because of a bunch of content I’ve contributed elsewhere. Well, no one has compiled a meta-post of my public work from 2020 (that I know of), so it’s finally time to publish it myself. Technical work.

Experimentation 61

Experimentation Testing Publishing Data Collection 61

Smart Data Collective

OCTOBER 4, 2023

Essentially, a proxy provides a different public IP address – a function that may seem minor but serves a host of crucial purposes ranging from security measures to customer service enhancements and data collection. One of the reasons data collection is so scalable is due to data proxies.

Data-driven 109

Data-driven Advertising Data Collection Data Strategy 109

Smart Data Collective

OCTOBER 31, 2022

CCPA – The California Consumer Privacy Act is a statewide statute enacted in 2020. It includes rules and regulations to ensure businesses keep consumer data private and enables consumers to reserve the right to opt out of data collection and sharing practices. Is Your Business Compliant?

Internet of Things 126

Internet of Things IoT Risk Measurement 126

Data Science 101

JANUARY 15, 2020

Bias ( syatematic unfairness in data collection ) can be a potential problem in experiments and we need to take it into account while designing experiments. Reliability: It means measurements should have repeatable results. For eg: you measure the blood pressure of a person. Unbiasedness: This has been discussed before.

Experimentation 96

Experimentation Statistics Measurement Testing 96

CIO Business Intelligence

OCTOBER 2, 2024

It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. In 2020, Facebook’s internal review, conducted with senior management and external legal advisors, led to the refinement of its AI content moderation algorithms.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

O'Reilly on Data

JULY 20, 2021

This measurement of trust and risk is benefited by understanding who could be in front of the device. In 2020, Wink suddenly applied a monthly service charge; if you didn’t pay, the device would stop working. Also in 2020, Sonos caused a stir by saying they were going to “recycle” (disable) old devices.

Risk 306

Risk Software Interactive Modeling 306

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Overview Human-labeled data is ubiquitous in business and science, and platforms for obtaining data from people have become increasingly common. And for thousands of years, measurement was as simple as this.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Jet Global

JUNE 5, 2020

An insurance Key Performance Indicator (KPI) or metric is a measure that an insurance company uses to monitor its performance and efficiency. The quote rate measures how many quotes a staff member has been able to provide compared to the number of leads they have contacted. What Is an Insurance KPI?

Insurance 59

Insurance Metrics Reporting KPI 59

CIO Business Intelligence

MARCH 3, 2023

In 2020, financial news and opinion company 24/7 Wall Street reviewed 10-year changes in average home game attendance for professional hockey, baseball, basketball, and football teams across North America and found average attendance had declined by more than 10% over the past decade.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

BA Learnings

AUGUST 7, 2021

Boston Consulting Group conducted a digital transformation study in 2020 to find out why such projects are missing the mark. You can measure the number of click-throughs your products are getting by using web analytics tools like Bitly, for example, to determine if the website is generating the right buzz.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

Jet Global

JULY 8, 2020

A distribution Key Performance Indicator (KPI) or metric is a measure that a company in the distribution sector uses to monitor its performance and efficiency. These metrics help companies identify areas of operational success and failure through measuring specific quantifiable aspects of their business. What Is a Distribution KPI?

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

Depict Data Studio

JULY 28, 2020

Vivian and I are both members of the same Facebook group (a community for everyone taking data visualization training with me). The topic was school reopening plans for the 2020-2021 academic year. Vivian and her colleagues had collected surveys from parents and teachers to gauge their opinions. Watch the Conversation Below.

Visualization 102

Visualization Reporting Modeling Statistics 102

CIO Business Intelligence

JUNE 22, 2022

Oxford Economics, a leader in global forecasting and quantitative analysis, teamed up with Huawei to develop a new approach to measuring the impact of digital technology on economic performance. Total spending over the period 2020–23 will amount to some US$1.2

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

Jet Global

MARCH 17, 2020

The devastating news of increasing numbers of sufferers and fatalities is having an inevitable knock-on effect as authorities introduce stricter health measures around the world to reduce the spread of the virus. . This article originally appeared in Accountancy Today on March 9, 2020.

Forecasting 97

Forecasting Sales Marketing Finance 97

Sisense

JUNE 9, 2021

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The same trend has happened in business.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Smart Data Collective

SEPTEMBER 4, 2020

Google has shown how to use big data effectively for decision-making , but many other companies don’t understand the principles to follow. Far too many businesses fail to develop a sensible data strategy, so their ROI from their data collection methodologies is often subpar. Guide to Creating a Big Data Strategy.

Data-driven 90

Data-driven Big Data Metrics Strategy 90

Smart Data Collective

AUGUST 6, 2020

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. They might be choosing images based on their own supposition, rather than hard data that would prove the value of a given image. Savvy marketers will utilize it to the full advantage in 2020.

Deep Learning 92

Deep Learning Visualization Data-driven Marketing 92

IBM Big Data Hub

FEBRUARY 7, 2024

This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. .” Similar to “carbon neutral” in the context of emissions, nature positive refers to stopping, avoiding and reversing environmental destruction.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

FineReport

APRIL 20, 2020

Users can scan the invoice as the background, FineReport designer can accurately locate and place the data according to the background. . 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. Page Printing .

Reporting 84

Reporting OLAP Dashboards Data mining 84

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. measure the subjects’ ability to trust the models’ results. training data”) show the tangible outcomes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Jet Global

AUGUST 23, 2021

In this context, an average of almost 30% of Administration and Finance Divisions think that data collection can be improved. In the end, the objective is to unify data in a repository and improve performance, productivity and security in order to generate financial reports. Improve collaborative measures.

Finance 52

Finance Data Collection Reporting Data Quality 52

Smart Data Collective

DECEMBER 20, 2019

An estimated 20 billion internet-connected devices will be active around the world by 2020. Adoption is certainly ramping up, and the technologies that support IoT are also growing more sophisticated — including big data, cloud computing and machine learning. The civil engineering field is no exception.

IoT 62

IoT Internet of Things Measurement Reporting 62

Ontotext

MAY 18, 2020

The capacity and performance of supercomputers is measured with the so-called FLOPS (floating point operations per second). It aims to solve the challenges that healthcare faces as a result of the heterogeneity and the volume of biomedical data (more than 2’000 exabytes of biomedical data are expected to be produced by 2020).

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Anmut

NOVEMBER 18, 2020

We built it by learning from all the other approaches, using the latest techniques in economics, complex decision analysis, psychology, value attribution and of data science (of course), and a carefully trained gradient boosting algorithm. The cost value methods. There are a number of methods which fit within this scheme.

Cost-Benefit 52

Cost-Benefit Measurement Marketing Modeling 52

BizAcuity

MARCH 1, 2019

At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data. In fact, according to the data from Global Industry Analysts, the market is set to be worth $4.5

IoT 56

IoT Internet of Things Big Data Data-driven 56

IBM Big Data Hub

AUGUST 7, 2023

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. Impact Report Jan/Feb 2020; 22(1): New global recruitment performance benchmarks yield mixed results.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Rita Sallam

AUGUST 28, 2022

Like all of you, the pandemic forced us to innovate and we did our very first virtual BI Bake off in October of 2020 and then again in May of 2021 – and they were awesome! For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. And these did not disappoint!

Analytics 52

Analytics Data Analytics Cost-Benefit Data-driven 52

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. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link? This was from 2020.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Ontotext

AUGUST 23, 2021

In the case of California, where in 2020 extreme heat led to excessive demand and supply shortage, and ultimately to rolling blackouts, some very important things became evident. Interlinking these external data sources with energy data will open a huge potential for more efficient cross-industry data exchange.

Marketing 52

Marketing Data Quality Modeling Management 52

Smart Data Collective

MAY 13, 2022

Employees are more concerned than ever about their data privacy. Regulators also require employers to be cautious about how data is stored and used. Employers Must Find Ethical Ways to Use Data Analytics to Monitor their Workers. Protect Employee Data. Treat all recorded data as sensitive.

Data-driven 119

Data-driven Big Data Software Data Analytics 119

Domino Data Lab

AUGUST 1, 2021

2020) propose the following foundational set of methods to classify various approaches for explaining deep ANNs. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. Methods for explaining Deep Learning. Skater uses different techniques depending on the type of the model (e.g.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? Instead, I built the AIgent. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

Sisense

JULY 23, 2021

We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

MAY 1, 2023

The program offers valuable data analysis-based services such as benchmarking and personalized fitness plans. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Let’s just give our customers access to the data. How to measure the value.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52