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. Link It All Up.

Measurement 95

Measurement Metrics Machine Learning Data Collection 95

datapine

JANUARY 6, 2022

Capable of displaying key performance indicators (KPIs) for both quantitative and qualitative data analyses, they are ideal for making the fast-paced and data-driven market decisions that push today’s industry leaders to sustainable success. Exclusive Bonus Content: Download Our Free Data Analysis Guide.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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

AUGUST 12, 2020

They may gather financial, marketing and sales-related information, or more technical data; a business report sample will be your all-time assistance to adjust purchasing plans, staffing schedules, and more generally, communicating your ideas in the business environment. It organizes information for a specific business purpose.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

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. How To Present Your Results: 3 Market Research Example Dashboards.

Reporting 247

Reporting Marketing KPI Dashboards 247

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. To work effectively, big data requires a large amount of high-quality information sources. Like many modern sectors, logistics processes involve large amounts of data collection.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

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 139

Big Data Management Cost-Benefit Internet of Things 139

FineReport

FEBRUARY 25, 2020

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. Before the advent of mobile technology, we needed to use pen and paper to record information on the spot, or manually enter it into a computer to organize the information. What is mobile data collection?

Data Collection 59

Data Collection IT Dashboards Reporting 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. Granted, all of this information depends in large part on your sales cycles.

Sales 264

Sales Reporting KPI B2B 264

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

CIO Business Intelligence

AUGUST 9, 2024

If after anonymization the level of information in the data is the same, the data is still useful. But once personal or sensitive references are removed, and the data is no longer effective, a problem arises. Synthetic data avoids these difficulties, but they’re not exempt from the need of a trade-off.

Risk 137

Risk Measurement Modeling Data Lake 137

O'Reilly on Data

JULY 20, 2021

When I’m with other people who share the same pseudo-identity, we can share information. Contextual Integrity describes four key aspects of privacy: Privacy is provided by appropriate flows of information. Appropriate information flows are those that conform to contextual information norms. a photo, text)?

Risk 305

Risk Software Interactive Modeling 305

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 336

Management Machine Learning Experimentation Metrics 336

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 131

Measurement Data-driven Metrics Data Collection 131

datapine

JULY 8, 2020

Similarly to C-level financial officers that use a CFO dashboard to monitor financial information, COOs need a solution for operational touchpoints that make a business tick. When you complete data management processes with an (automated) COO report and intelligent alarms, any business anomaly will not go unnoticed. Key Takeaways.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

IBM Big Data Hub

AUGUST 3, 2023

Organizations increasingly depend on their technology stack—which comprises the totality of their network interfaces, CPUs, virtual machines, operating system information and installed applications—to deliver consistent service to the end user. 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. Results-based leaders rely on having the right information at the right time in order to support operational decision-making. That’s why decision-makers consider business intelligence their top technology priority.

Business Intelligence 150

Business Intelligence Data Science Descriptive Analytics Strategy 150

Smart Data Collective

MARCH 24, 2020

One of the most important elements in the evolution of the education system is the ability to make informed conclusions about the need to change approaches that are used and the actions that are taken. In the article, you will find a number of areas where Big Data in education can be applied. Data collection. Adjustment.

Big Data 101

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 101

Smart Data Collective

DECEMBER 9, 2021

Most businesses track a lot of this information already. 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. Set clear goals.

Big Data 131

Big Data Data-driven Key Performance Indicator Testing 131

Smart Data Collective

MAY 25, 2023

We live in a digital age, where data is the new currency. Every day, a massive amount of information is generated, processed, and stored, and it is critical for everyone who offers their services online to prioritize privacy and ensure responsible data practices.

Data Collection 90

Data Collection Data-driven Measurement Risk 90

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Examples: (1) Retail. (2) 2) Disaster Response. (3) 3) Machine maintenance. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

SEPTEMBER 28, 2022

Today, data has become more critical than it has ever been in the past. We have talked about the importance of investing in good data collection methodologies. There are a growing number of risks with big data. Some of them stem from security issues if data is compromised. Use the Right Equipment.

Big Data 130

Big Data Software Risk Data Collection 130

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 103

Marketing Analytics Marketing Data-driven Analytics 103

Smart Data Collective

NOVEMBER 5, 2020

Here at Smart Data Collective, we have talked about major changes that machine learning has created in the financial industry. Smart cards store all the necessary information into the card itself as compared to magnetic chip cards. You can enjoy many advantages of that stored information just with a swipe!

Machine Learning 126

Machine Learning Finance Data Collection Big Data 126

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, adversarial attacks can be used to trick AI systems into revealing sensitive information. Without proper safeguards, this could lead to privacy infringements.

Risk 118

Risk Recreation/Entertainment Data Collection Data Processing 118

Smart Data Collective

OCTOBER 31, 2022

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. Executive Order 14028 – The government continues cultivating strategies to protect data, including Biden’s Executive Order 14028.

Internet of Things 123

Internet of Things IoT Risk Measurement 123

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 125

Analytics Unstructured Data Data Collection Software 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. Leading companies make use of KPIs and KPI dashboards to measure their efficiency in real time. This is vital information for the HR and operations department.

Metrics 131

Metrics Manufacturing Reporting KPI 131

Occam's Razor

APRIL 19, 2010

The post will end with a Web Analytics Measurement Framework. 90% of the failures in web analytics, the reasons companies are data rich and information poor, is because they don't have DUMB objectives. Point of confusion: Many web analytics tools, like Google Analytics , have a feature that encourages you to measure Goals.

Metrics 140

Metrics Key Performance Indicator KPI Business Objectives 140

Smart Data Collective

AUGUST 4, 2022

Data analytics technology has changed many aspects of the modern workplace. A growing number of companies are using data to make more informed hiring decisions , track payroll issues and resolve internal problems. The authors state that data analytics saves managers time and reduces the risk of inadvertent bias.

Data-driven 133

Data-driven Metrics Software Data Collection 133

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 262

Machine Learning Data Quality Statistics Modeling 262

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

AUGUST 19, 2024

This system uses large language models (LLMs) to combine a vast library of agricultural data with expert knowledge. The AI Doctor doesn’t just provide recommendations; it empowers farmers to make informed decisions that enhance crop health and productivity. It identifies any problems and offers recommendations.

IoT 118

IoT Data-driven Data Enablement Optimization 118

Smart Data Collective

MAY 4, 2021

Any business that is ready to embrace data analytics will have access to a wealth of information on their industry, customer base, competitors and more. Data provides businesses with a key opportunity to drive change and make informed decisions that will bring about positive outcomes to propel business growth and advancement.

Advertising 138

Advertising Marketing Data Collection Data Analytics 138

Smart Data Collective

OCTOBER 16, 2023

Nowadays, information consumption is skyrocketing. This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. Where does big data come from?

Big Data 111

Big Data IoT Cost-Benefit Advertising 111

CIO Business Intelligence

AUGUST 21, 2023

The slogan for Mexican information technology (IT) services specialist Global HITSS is “developing a digital society.” All billing information – current and historical consumption – was captured manually and with excessive processing time by the employee. Its mission: creating a culture of energy conservation.

Measurement 96

Measurement Digital Transformation Consulting Data Collection 96

Cloudera

APRIL 20, 2022

For example, people at high risk for hospitalization upon infection, each received an oxy pulse meter and were asked to either call into a hotline if their measurements were outside of a range, or upload each measurement to a portal. As a patient, it was a positive experience. Sprinting towards digital healthcare.

Insurance 101

Insurance Measurement Data Lake Risk 101