CIO Business Intelligence

JANUARY 14, 2025

By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Documentation and diagrams transform abstract discussions into something tangible. From control to enablement Shawn McCarthy 2.

Enterprise 119

Enterprise Technology Metrics Measurement 119

datapine

APRIL 16, 2019

By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward. What Is Data Driven Decision Making? Quantitative data analysis focuses on numbers and statistics.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

CIO Business Intelligence

DECEMBER 20, 2024

Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis. Curate the data. Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

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

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

CIO Business Intelligence

JANUARY 3, 2023

To reduce its carbon footprint and mitigate climate change, the National Hockey League (NHL) has turned to data and analytics to gauge the sustainability performance of the arenas where its teams play. The most important thing about any sustainability platform is you cannot impact what you cannot measure,” Mitchell says.

Metrics 144

Metrics Measurement Recreation/Entertainment Data Collection 144

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

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 363

Management Machine Learning Experimentation Metrics 363

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

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 273

Machine Learning Risk Management Statistics 273

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

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 240

Insurance Metadata Data Collection Marketing 240

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 141

Data-driven Big Data Cost-Benefit Data Collection 141

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 364

Management Experimentation B2B Machine Learning 364

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 93

Measurement Dashboards Data Warehouse Analytics 93

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

O'Reilly on Data

OCTOBER 16, 2018

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization. That’s why decision-makers consider business intelligence their top technology priority.

Business Intelligence 206

Business Intelligence Data Science Descriptive Analytics Data Collection 206

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 120

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 120

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

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 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 Data Collection 138

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 122

Marketing Analytics Marketing Data-driven Analytics 122

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 125

Data-driven Advertising Data Collection Data Strategy 125

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

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 142

Big Data Data-driven Key Performance Indicator Testing 142

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 105

Data Collection Data-driven Measurement Risk 105

CIO Business Intelligence

MARCH 4, 2025

This article goes behind the scenes on whats fueling Blocks investment in developer experience, key initiatives including the role of an engineering intelligence platform , and how the company measures and drives success. Sustaining velocity at scale Blocks approach to developer experience has evolved significantly as the company has grown.

Experimentation 69

Experimentation Metrics Data-driven Measurement 69

CIO Business Intelligence

MARCH 19, 2025

Most data management conferences and forums focus on AI, governance and security, with little emphasis on ESG-related data strategies. If sustainability-related data projects fail to demonstrate a clear financial impact, they risk being deprioritized in favor of more immediate business concerns.

IT 59

IT Data Governance Data-driven Metrics 59

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 114

Data-driven Analytics Metrics Big Data 114

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

DataKitchen

JUNE 24, 2021

So we really prioritized the data that we thought had the biggest chance of delivering success in the end. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It DataOps Enables Your Data Mesh or Data Fabric. Design for measurability.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

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

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 279

Machine Learning Data Quality Statistics Modeling 279

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 120

Metrics Measurement Data-driven Optimization 120

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