Smart Data Collective

JULY 9, 2023

In the ever-evolving and increasingly competitive global e-commerce sector, businesses that strive to achieve and maintain high conversion rates face the pressing, yet necessary, task of harnessing the potential of accessible data. Analyzing these metrics will shed light on any barriers, which helps you reach your sales goals.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

datapine

JULY 6, 2022

1) What Are Productivity Metrics? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. What Are Productivity Metrics? Productivity metrics are measurements used by businesses to evaluate the performance of employees on various activities related to their general company goals.

Measurement 243

Measurement Metrics KPI Sales 243

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 94

Marketing Analytics Marketing Data-driven Analytics 94

datapine

JULY 8, 2020

A COO (chief operating officer) dashboard is a visual management tool used by COOs to connect multiple data sources, track, evaluate, and help COOs to optimize operational processes within a company by using interactive metrics and advanced analytical capabilities. Choose the most valuable metrics for your industry.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation.

Data Governance 145

Data Governance IT Risk Data Lake 145

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. This will be elaborated on in the third part of this article. Why Big Data Analysis Report?

Dashboards 52

Dashboards Reporting Advertising Statistics 52

FineReport

AUGUST 19, 2020

Besides, reporting solutions support managers put together a picture of the relevant data and discover business insides. For most companies, the staffs spend 50% time on data collection, 30% time on checking and approving the data, 15% time on developing and publishing the reports, and 5% on business analysis.

Reporting 98

Reporting Dashboards KPI Data Collection 98

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Smart Data Collective

FEBRUARY 1, 2023

A 2017 study from Harvard Medical School discusses some of the changes big data has created for nurses. In this article, we talk about how big data technology impacts nurses and the communities they serve. There are more ways than ever to provide high-quality healthcare evaluations, and data collection remotely.

Data Analytics 118

Data Analytics Analytics Big Data Internet of Things 118

Smart Data Collective

FEBRUARY 24, 2022

The three biggest enemies to user onboarding are the lack of data analysis, data collection, and the wrong amount of information. Unfortunately, many businesses worldwide are not doing a good job collecting data and thus, fail to enhance customer relationships. Pay attention to the metrics. Wrapping it up.

Data Analytics 109

Data Analytics Analytics Visualization Optimization 109

CDW Research Hub

DECEMBER 22, 2020

.” The 2020 MSP 501 and NextGen 101 lists are based on data collected by Channel Futures and its sister site, Channel Partners. Data was collected in 2020. The MSP 501 list recognizes top managed service providers based on metrics including recurring revenue, profit margin and other factors.

Management 97

Management Optimization Metrics Data Collection 97

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. Just the other day, I searched Google for recent news stories about AI, and I was surprised by the number of articles that touch on fairness. How to build analytic products in an age when data privacy has become critical”.

Machine Learning 220

Machine Learning Risk Management Statistics 220

CIO Business Intelligence

APRIL 14, 2022

This article was co-authored by Katherine Kennedy , an Associate at Metis Strategy. Digitizing operations, experiences, and products will not only save time and money, but also increase speed to insight by breaking down silos and making critical data more accessible. Smarter operations through integrated data and analytics.

Strategy 111

Strategy Digital Transformation IoT Measurement 111

FineReport

MARCH 6, 2024

In this article, we will thoroughly examine the significance of financial statements, elucidate the various types of financial statements, and provide illustrative examples to facilitate a comprehensive analysis of the three essential financial statements. Reports serve as a summary and visualization of systematically collected data.

Reporting 52

Reporting Operational Reporting Statistics Dashboards 52

FineReport

JUNE 7, 2023

In the subsequent sections, we elucidate the key benefits in detail: Enhanced Project Visibility: Project management dashboards provide a centralized and real-time view of project data, allowing stakeholders to easily monitor and track project progress, tasks, and milestones.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

BA Learnings

AUGUST 7, 2021

In this article, we’ll be discussing 3 reasons why most digital transformation initiatives continue to fail so you can be aware of the red flags, and avoid them altogether. However, after putting in place infrastructure for this database, you realize you need to improve your data collection methods. Let’s get started.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

datapine

JANUARY 6, 2022

Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories. For a more in-depth review of scales of measurement, read our article on data analysis questions. Data analysis and interpretation, in the end, help improve processes and identify problems.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Jet Global

SEPTEMBER 29, 2021

To meet this shift in roles, the new breed of Finance leader is increasingly becoming data-driven, combining quality data drawn from multiple sources to put strategic decisions in context and choose the highest-impact business direction. How Finance Leaders Use Data to Support Decision-Making. Provide Access to Quality Data.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

Jet Global

JUNE 24, 2020

An engineering Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an engineering firm uses to gauge its success over time. With engineering being a very broad field, KPIs are employed in a variety of ways, ranging from company-wide analysis to project specific performance metrics.

Metrics 98

Metrics Reporting KPI Key Performance Indicator 98

Occam's Razor

OCTOBER 14, 2014

Couple of other examples of going to your own data to identify your benchmarks. Conversion rate is one of those metrics that I strongly encourage you only create benchmarks for from your own data. The best way is to segment these metrics and then set individual targets for your most important segments.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

FineReport

APRIL 9, 2021

This article shows you a comprehensive guide on Financial Reporting and Financial Analysis and illustrates how to use them appropriately. . As the name suggests, financial reporting is a method of compilation and reproduction of crucial financial data in a structured and readable manner. This article provides four ideas for reference.

Reporting 98

Reporting Finance Dashboards Enterprise 98

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Alation

APRIL 25, 2023

Where are we seeing the greatest success with data governance and how can we build on it? Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned. Questions to consider: What protections do we have in place for sensitive data and how can they be improved?

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Insight

JANUARY 14, 2020

In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. Check out this great Medium article that discusses the difference between tensors and multidimensional arrays.

Metrics 58

Metrics Optimization Modeling Testing 58

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Alation

APRIL 25, 2023

Where are we seeing the greatest success with data governance and how can we build on it? Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned. Questions to consider: What protections do we have in place for sensitive data and how can they be improved?

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Occam's Razor

APRIL 19, 2010

"What is the difference between a metric and a key performance indicator (KPI)?" " "Are goals metrics?" There seems to be genuine confusion about the simplest, most foundational, parts of web metrics / analytics. Metric: A metric is a number. But not normal metrics. Dimensions.

Metrics 138

Metrics Key Performance Indicator KPI Business Objectives 138

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? Instead, I built the AIgent. 95 F1 scores across genres.

Modeling 59

Modeling Metadata Publishing Sales 59

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Darkhorse

MARCH 31, 2015

This is part two in a series of articles about effective analytics implementation. They’re ready to transform your organization into a data-driven decision-making juggernaut. Have her think through her approach including data collection, cleaning, modeling, verification, visualization, tool or metric development, and implementation.

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

datapine

JUNE 13, 2019

In this post, we will outline the definition and examples of Daily Sales Reports , followed by Weekly Sales Reports , and finishing with Monthly Sales Reports and templates you can use for your reporting practice (click on the link to jump directly to the relevant part of the article). Later in this article, you can see examples of each.

Sales 264

Sales Reporting KPI B2B 264

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

Management 363

Management Experimentation B2B Machine Learning 363

Smart Data Collective

AUGUST 4, 2022

These findings illustrate the benefits of shifting towards a data-driven approach to monitoring employee performance. An article in HR Voices titled Data Analytics in HR: Impacting the Future of Performance Management underscores some of the benefits.

Data-driven 128

Data-driven Metrics Software Data Collection 128

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. The next in our rundown of dynamic business reports examples comes in the form of our specialized SaaS metrics dashboard.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. I'll link to those posts and an article in Forbes in the last section. It can be any of the numerous brand metrics avilable to us.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148