Smart Data Collective

MARCH 27, 2020

With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Demographics. This includes: Age. Safety Features.

Insurance 107

Insurance Measurement Risk Cost-Benefit 107

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 96

Measurement Dashboards Data Warehouse Analytics 96

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 64

Reporting IoT Data Collection Data Quality 64

Occam's Razor

JUNE 25, 2012

The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Web Data Collection Context: Cookies and Tools.

Data Collection 131

Data Collection Advertising Metrics Reporting 131

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

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 137

Risk Measurement Data Lake Modeling 137

CIO Business Intelligence

OCTOBER 30, 2024

Some are large, spread over more than two square miles, and they run on manual processes that require significant time on data entry and data collection across several non-integrated systems. When people measure value, they sometimes talk about time saved or efficiency. That’s not how we measure value.

Digital Transformation 111

Digital Transformation Manufacturing IT Data Lake 111

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 126

Data-driven Big Data Cost-Benefit Data Collection 126

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 86

Data Collection Data-driven Measurement Risk 86

Timo Elliott

NOVEMBER 14, 2024

Restrictions on CO2-Neutral Claims: Products can no longer be advertised as “climate-neutral” based solely on compensation measures like carbon offsets. To avoid falling afoul of these regulations, organizations must: Invest in Data and Expertise: Accurate ESG reporting requires robust data collection and sustainability expertise.

Advertising 59

Advertising Measurement Cost-Benefit Metrics 59

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

CIO Business Intelligence

AUGUST 18, 2023

Defined as quantifiable and objective behavioral and physiological data collected and measured by digital devices such as implantables, wearables, ingestibles, or portables, digital biomarkers enable pharmaceutical companies to conduct studies remotely without the need for a physical site.

Measurement 98

Measurement Data Quality Visualization Data Collection 98

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 133

Data Quality Measurement Metrics Data Collection 133

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 99

Data-driven Advertising Data Collection Data Strategy 99

Jet Global

JUNE 27, 2024

Its pre-configured, expandable data model streamlines compliance while supporting various reporting frameworks. Key features include: Effortless Data Collection & Consolidation: Pre-configured, future-proof data model simplifies gathering of all data types (narrative, numeric, and calculated) for CSRD compliance.

Reporting 64

Reporting Management Data Collection Metrics 64

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

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 138

Big Data Management Cost-Benefit Internet of Things 138

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

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

Smart Data Collective

MAY 29, 2023

Overcoming representation bias necessitates comprehensive data collection efforts that cover a wide range of languages and dialects, ensuring equal representation and inclusivity. Measuring Bias in Output Results Comprehensive and nuanced approaches are necessary to measure bias in AI translation output results.

Metrics 68

Metrics Measurement Data Collection Strategy 68

CIO Business Intelligence

AUGUST 21, 2023

Obsolete, error-prone, no scalability In the last decade, there was no technological product for organizations that offered measurements of the different energy inputs (electricity, water, and gas) in an automatic way, with a high storage volume, and in real time.

Measurement 97

Measurement Digital Transformation Consulting Data Collection 97

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 120

Risk Recreation/Entertainment Data Collection Data Processing 120

Smart Data Collective

JUNE 21, 2023

Understanding HR Metrics HR metrics, also known as HR analytics or HR key performance indicators (KPIs), are quantitative measurements used to assess various aspects of an organization’s human resources function. Additionally, we will discuss how to effectively implement HR metrics to maximize their impact.

Data-driven 85

Data-driven Analytics Metrics Big Data 85

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

CIO Business Intelligence

AUGUST 19, 2024

Real-time data for enhanced agricultural efficiency Real-time data collection and analysis are critical to SupPlant’s approach. IoT sensors deployed in fields worldwide collect vital information on crop and weather conditions every 30 minutes.

IoT 120

IoT Data-driven Data Enablement Optimization 120

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

Smart Data Collective

NOVEMBER 1, 2023

Study employee performance metrics Performance metrics are a measure of how well team members are doing at their work. Studying historical data can help your company measure an employee onboarding process’s effectiveness. They reflect your business’s performance.

Metrics 92

Metrics Measurement Data-driven Optimization 92

CIO Business Intelligence

SEPTEMBER 18, 2024

CIOs, as well as CTOs, should advocate for measuring how humane their AI-powered services are because, typically, we’re more prone to improving what we decided to measure, Jain adds. This means implementing stringent data protection measures and being transparent about data usage.”

Interactive 127

Interactive Cost-Benefit Measurement Testing 127

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 98

Marketing Analytics Marketing Data-driven Analytics 98

Smart Data Collective

OCTOBER 8, 2023

Methodologies in Deploying Data Analytics The application of data analytics in fast food legal cases requires a thorough understanding of the methodologies involved. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 98

Data Analytics Analytics Statistics Data Collection 98

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 129

Measurement Data-driven Metrics Data Collection 129

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 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

IBM Big Data Hub

FEBRUARY 23, 2024

The GDPR applies to any organization that processes the personal data of European residents, regardless of where that organization is based. Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. Organizations may need to update consent forms to meet these requirements.

Measurement 74

Measurement Risk Data Collection Data Processing 74

IBM Big Data Hub

MARCH 26, 2024

While ESG seeks to provide standard methods and approaches to measuring across environmental, social and governance KPIs, and holds organizations accountable for that performance, sustainability is far broader. How is sustainability managed—as an annual measuring exercise or an ongoing effort that supports business transformation?

Measurement 60

Measurement Metrics Strategy Reporting 60

Smart Data Collective

OCTOBER 16, 2023

Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources. Big data can also be utilized to improve security measures.

Big Data 106

Big Data IoT Cost-Benefit Advertising 106

IBM Big Data Hub

SEPTEMBER 11, 2023

How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Through the analysis of collected data, potential opportunities for improvement are uncovered. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85