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 ). Data Wrangling and Feature Engineering.

Marketing 363

Marketing Experimentation Metrics Testing 363

Rocket-Powered Data Science

MARCH 19, 2021

Focus on the strategies that aim these tools, talents, and technologies on reaching business mission and goals: e.g., data strategy, analytics strategy, observability strategy ( i.e., why and where are we deploying the data-streaming sensors, and what outcomes should they achieve?).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

datapine

FEBRUARY 9, 2024

The process helps businesses and decision-makers measure the success of their strategies toward achieving company goals. How does Company A measure the success of each individual effort so that it can isolate strengths and weaknesses? Key performance indicators enable businesses to measure their own ability to set and achieve goals.

KPI 221

KPI Management Key Performance Indicator Measurement 221

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. For a more in-depth review of scales of measurement, read our article on data analysis questions.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

FineReport

FEBRUARY 25, 2020

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

Data Collection 59

Data Collection IT Dashboards Reporting 59

AWS Big Data

DECEMBER 5, 2023

The counties that are in lighter shades represent limited survey responses and need to be included in the targeted data collection strategy. Finally, the dashboard’s user-friendly interface made survey data more accessible to a wider range of stakeholders. The first image shows the dashboard without any active filters.

Measurement 105

Measurement Dashboards Data Warehouse Analytics 105

Smart Data Collective

MARCH 29, 2021

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

O'Reilly on Data

MARCH 31, 2020

Measurement, tracking, and logging is less of a priority in enterprise software. Consumer product management is typically more bottom-up, driven by large volumes of user feedback and usage tracking data. It turns out that type of data infrastructure is also the foundation needed for building AI products.

Management 338

Management Machine Learning Experimentation Metrics 338

O'Reilly on Data

MAY 14, 2020

In addition, the Research PM defines and measures the lifecycle of each research product that they support. The foundation of any data product consists of “solid data infrastructure, including data collection, data storage, data pipelines, data preparation, and traditional analytics.”

Management 363

Management Experimentation B2B Machine Learning 363

Smart Data Collective

SEPTEMBER 14, 2022

To get the range data from this technology, you will start by projecting a laser beam at a surface or an object. Then, measure the time it takes for the reflected beam of light to reach the receiver. Due to the high accuracy that Lidar data are known for, many people adopt them for various applications.

Data-driven 135

Data-driven Big Data Cost-Benefit Data Collection 135

IBM Big Data Hub

AUGUST 3, 2023

Seven metrics that identify the relative success of your application health monitoring process Organizations need to have a comprehensive plan to ensure the health of their applications, but one key component of any application health monitoring process is data collection. Applications fail or underperform for many different reasons.

Measurement 63

Measurement Metrics Risk Software 63

Smart Data Collective

AUGUST 29, 2020

Remote monitoring includes a wide range of functions, from offsite data collection to key tracking tools and even video-based monitoring, and though some of these tools are invasive, others can help boost productivity. The second key problem with surveillance-based productivity data is that it doesn’t measure the right things.

Measurement 132

Measurement Data-driven Metrics Data Collection 132

CIO Business Intelligence

AUGUST 9, 2024

The alternative to synthetic data is to manually anonymize and de-identify data sets, but this requires more time and effort and has a higher error rate. The European AI Act also talks about synthetic data, citing them as a possible measure to mitigate the risks associated with the use of personal data for training AI systems.

Risk 138

Risk Measurement Data Lake Modeling 138

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

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

datapine

JUNE 13, 2019

There are also different types of sales reports that will focus on different aspects: the sales performance in general, detailing the revenue generated, the sales volume evolution, measuring it against the sales target pre-set, the customer lifetime value, etc. 2) Number of opportunities created. 5) Number of outbound calls by rep.

Sales 264

Sales Reporting KPI B2B 264

O'Reilly on Data

NOVEMBER 13, 2018

Fortunately, a recent survey paper from Stanford— A Critical Review of Fair Machine Learning —simplifies these criteria and groups them into the following types of measures: Anti-classification means the omission of protected attributes and their proxies from the model or classifier. What machine learning means for software development”.

Machine Learning 223

Machine Learning Risk Management Statistics 223

datapine

MAY 2, 2023

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Occam's Razor

JULY 18, 2011

You just have to have the right mental model (see Seth Godin above) and you have to… wait for it… wait for it… measure everything you do! For everything you do it is important to measure your effectiveness of all three phases of your effort: Acquisition. You’re trying to measure how well you are doing to: Send emails.

Metrics 138

Metrics Marketing Measurement Cost-Benefit 138

Smart Data Collective

DECEMBER 9, 2021

Businesses already have a wealth of data but understanding your business will help you identify a data need – what kind of data your business needs to collect and if it collects too much or too little of certain data. Collecting too much data would be overwhelming and too little – inefficient.

Big Data 137

Big Data Data-driven Key Performance Indicator Testing 137

Smart Data Collective

MARCH 24, 2020

In the article, you will find a number of areas where Big Data in education can be applied. Predicting academic performance is one of the key research topics in Big Data in education. A selection of information sources, data acquisition procedures, information processing algorithms. Data collection. To Begin with….

Big Data 102

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 102

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics. Preparing the Data for Analysis.

Marketing Analytics 110

Marketing Analytics Marketing Data-driven Analytics 110

Jet Global

JANUARY 8, 2021

An Operations Key Performance Indicator (KPI) or metric is a discrete measurement that a company uses to monitor and evaluate the efficiency of its day-to-day operations. Leading companies make use of KPIs and KPI dashboards to measure their efficiency in real time. What is an Operations KPI?

Metrics 131

Metrics Manufacturing Reporting KPI 131

datapine

SEPTEMBER 1, 2020

An effective modern means of extracting real value from your research results such as brand analysis, market research reports present and arrange data in a way that is digestible and logical in equal measures through professional online reporting software and tools. c) Customer Effort Score (CES).

Reporting 247

Reporting Marketing KPI Dashboards 247

Smart Data Collective

MAY 25, 2023

Responsible data practices go beyond privacy and extend to the overall handling, processing, and sharing of information. Organizations must ensure that data is collected and used for legitimate purposes and that appropriate security measures are in place to protect it from unauthorized access or breaches.

Data Collection 97

Data Collection Data-driven Measurement Risk 97

DataKitchen

JUNE 21, 2024

Elevated Error Rates: An increase in the frequency and severity of data errors is a red flag that should not be ignored. Consumer-Detected Errors : When data consumers identify errors, it indicates a failure in internal quality control measures. Conduct root-cause analysis with the tenacity of a terrier chasing a squirrel.

Data Quality 140

Data Quality Measurement Metrics Data Collection 140

Data Science and Beyond

NOVEMBER 22, 2015

It is much harder to define feasible problems and come up with reasonable ways of measuring solutions. The not-so-hard parts Before discussing the hardest parts of data science, it’s worth quickly addressing the two main contenders: model fitting and data collection/cleaning.

Data Science 92

Data Science Data Collection Measurement Modeling 92

DataRobot

AUGUST 25, 2021

Bias might also be a product not of the historical process itself but of data collection or sampling methods misrepresenting the ground truth. Ultimately, machine learning learns from data, but that data comes from us—our decisions and systems. How Do I Measure AI Bias? AI you can trust. Request a Demo.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

O'Reilly on Data

JANUARY 28, 2019

The problems with consent to data collection are much deeper. It comes from medicine and the social sciences, in which consenting to data collection and to being a research subject has a substantial history. We really don't know how that data is used, or might be used, or could be used in the future.

Insurance 174

Insurance Metadata Data Collection Marketing 174

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 110

Data-driven Advertising Data Collection Data Strategy 110

datapine

JULY 8, 2020

Such a real-time dashboard ensures productivity increment and centralized data collection that enables executives to overcome numerous operational challenges within their line of work. When you complete data management processes with an (automated) COO report and intelligent alarms, any business anomaly will not go unnoticed.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. 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.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

CIO Business Intelligence

NOVEMBER 11, 2024

An organization’s success is often measured from its revenue, and the ensuing bottom line, but organizations today are gauged on multiple parameters to assess that their success and production does not come at the expense of the environment and that processes are keeping sustainability practices at the fore.

Reporting 96

Reporting IoT Data Collection Data Quality 96

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 reports also enable data collection by documenting the progress you make.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

CIO Business Intelligence

OCTOBER 24, 2023

Data breaches and invasive data collection AI systems can be exploited to gain unauthorized access to private data. For instance, such data collection could potentially violate data protection laws, leading to legal penalties for the business. This raises legal and ethical implications.

Risk 126

Risk Recreation/Entertainment Data Collection Data Processing 126

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. The Active Data Ratio metric determines the percentage of datasets that deliver value.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Alex Ratner on “Creating large training data sets quickly”.

Machine Learning 263

Machine Learning Data Quality Statistics Modeling 263