O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 364

Marketing Experimentation Metrics Testing 364

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

Smart Data Collective

MARCH 29, 2021

One study from NewVantage found that 97% of respondents said that their company was investing heavily in big data and AI. Maintenance management’s primary focus has always been maximizing the quality, effectiveness, and quality of equipment in an organization. Asset data collection. Compliance and safety management.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

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 96

Data Collection IT Dashboards Reporting 96

Smart Data Collective

DECEMBER 14, 2020

Customer satisfaction (CSAT) metrics are a powerful tool for businesses, but despite the way we talk about it, satisfaction isn’t something you can easily measure. These KPIs can add depths to your survey data, butting through the noise and ambiguity to get at the insights that really matter. Compare To Expectations.

Measurement 99

Measurement Metrics Machine Learning Data Collection 99

Rocket-Powered Data Science

MARCH 19, 2021

But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. We no longer should worry about “managing data at the speed of business,” but worry more about “managing business at the speed of data.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

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

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

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

MARCH 19, 2025

Limited representation of sustainability in CDO priorities A review of industry reports, surveys and conference agendas suggests that sustainability remains a niche topic within the data leadership community. Most data management conferences and forums focus on AI, governance and security, with little emphasis on ESG-related data strategies.

IT 59

IT Data Governance Data-driven Metrics 59

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. Either way, it’s your role as a manager to support them.

Sales 264

Sales Reporting KPI B2B 264

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

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 225

Business Intelligence Data Science Descriptive Analytics Data Collection 225

datapine

AUGUST 12, 2020

In your daily business, many different aspects and ‘activities’ are constantly changing – sales trends and volume, marketing performance metrics, warehouse operational shifts, or inventory management changes. This first example focuses on one of the most important and data-driven department of any company: finance.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

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 242

Insurance Metadata Data Collection Marketing 242

CIO Business Intelligence

FEBRUARY 13, 2023

Six Sigma is a quality management methodology used to help businesses improve current processes, products, or services by discovering and eliminating defects. Six Sigma is specifically designed to help large organizations with quality management. What is Six Sigma? Six Sigma was trademarked by Motorola in 1993.

Management 97

Management Statistics Manufacturing Measurement 97

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

FineReport

MAY 26, 2020

In the process of iterative product development, it is driven by data to ensure that the product develops in a better direction. The accuracy and professionalism of data analysis often determine the development of a product. Collect Data. Data analysis is an important part of the product manager’s work.

Management 98

Management Optimization Measurement Data-driven 98

datapine

JULY 8, 2020

We won’t delve into details about the career prospects of this C-level position but we will present COO dashboards and reports that are critical for helping chief operating officers across the world to effectively manage their time, company, operational processes, and results. What Is A COO Dashboard? Logistics transportation dashboard.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

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

Smart Data Collective

MARCH 24, 2020

In the article, you will find a number of areas where Big Data in education can be applied. The relationship between performance parameters and factors for predicting performance is involved in complex nonlinear relationships, so the areas of data collection should be comprehensive. Data collection. To Begin with….

Big Data 121

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 121

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 100

Measurement Dashboards Data Warehouse Analytics 100

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. What many in management don’t realize, though, is that these claims have a bearing on productivity.

Measurement 132

Measurement Data-driven Metrics Data Collection 132

CIO Business Intelligence

MARCH 4, 2025

Robotics: Automation reimagining productivity and costs Alongside AI, advanced robotics is delivering measurable ROI across industries. A major stumbling block is often quality data collection. Dr. Mark Shmulevich is the founder and managing partner at Aloniq , an early-stage deep-tech investment firm.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

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

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. These operations KPIs help management identify which operational strategies are effective, and those that inhibit the company. What is an Operations KPI?

Metrics 131

Metrics Manufacturing Reporting KPI 131

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

datapine

SEPTEMBER 1, 2020

Today, there are online data visualization tools that make it easy and fast to build powerful market-centric research dashboards. They come in handy to manage the results, but also the most important aspect of any analysis: the presentation of said results, without which it becomes hard to make accurate, sound decisions.

Reporting 247

Reporting Marketing KPI Dashboards 247

Smart Data Collective

NOVEMBER 1, 2023

Discussed below are six ways to use data to improve employee performance. Manage employee time Effective time management helps better productivity and ascertain your company’s success. It allows your company to ensure effective employee time tracking and management.

Metrics 120

Metrics Measurement Data-driven Optimization 120

Jet Global

JUNE 27, 2024

Unfortunately, ESG reporting is complex, requiring data from multiple sources, such as enterprise resource planning, sustainability systems, customer relationship management, and human resource management. Businesses also struggle to collect and consolidate ESG metrics alongside their financial data.

Reporting 64

Reporting Management Data Collection Metrics 64

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. This post shows how Krones built a streaming solution to monitor their lines, based on Amazon Kinesis and Amazon Managed Service for Apache Flink. For storing our sensor data from production lines, Krones choose Kinesis.

Management 100

Management Broadcasting IoT Metrics 100

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

JUNE 21, 2023

It gathers and analyzes data from current and prospective employees. Big data in marketing gathers and analyzes data from customers. In today’s competitive business landscape, organizations strive to achieve success by effectively managing their most valuable asset: their people. Identify employee health concerns.

Data-driven 114

Data-driven Analytics Metrics Big Data 114

Smart Data Collective

AUGUST 4, 2022

Data Analytics Helps Companies Improve their Employee Performance Reviews. Managers state that delivering employee performance reviews is the second most dreaded and despised task they need to do. An article in HR Voices titled Data Analytics in HR: Impacting the Future of Performance Management underscores some of the benefits.

Data-driven 135

Data-driven Metrics Data Collection Software 135

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