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. simplification and 2. pressing the right emotional buttons.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

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

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

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

Sisense

APRIL 10, 2020

R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

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 60

Optimization Forecasting Data-driven Strategy 60

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

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

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

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Check out this great Medium article that discusses the difference between tensors and multidimensional arrays. We pass 3 parameters: loss, optimizer , and metrics.

Metrics 58

Metrics Optimization Modeling Testing 58

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. Now that we know what they are let’s go over some concrete, real-world examples of visuals you will need to include in your reports.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Eliminate distractions, make data the hero! #5. Consolidate data, be as honest as you can be. #7. Ditch the text, visualize the story.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

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

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

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

FineReport

JULY 4, 2023

In this article, we will explore the concept of KPI tracking, its definition, its importance for businesses, and how to perform KPI tracking. By carefully selecting appropriate KPIs for different business areas, they can be utilized to organize and visualize extensive datasets. That’s where KPI tracking comes into play.

KPI 52

KPI Key Performance Indicator Dashboards Sales 52

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. They can make some unexpected insights based on data analytics tools.

Data-driven 130

Data-driven Metrics Software Data Collection 130

datapine

JUNE 4, 2020

A CTO dashboard is a critical tool in the process of evaluating, monitoring, and analyzing crucial high-level IT metrics such as support expenses or critical bugs, e.g., with the goal to create a centralized and dynamic point of access for all relevant IT data. Benefit From Our CTO Dashboard Example. click to enlarge**.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Maps are important data visualizations and at datapine, we love utilizing them in our dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Ontotext

AUGUST 12, 2021

Between them, the faculty members have published more than ten thousand peer-reviewed scientific articles, many in top ranking Pediatrics journals. In fact, the challenge is even more complicated than it appears at a first glance because the methods for data collection lead to differences in coverage and reliability.

Metrics 98

Metrics Visualization Reporting Data Collection 98

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 94

IT Manufacturing IoT Cost-Benefit 94

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. ML model interpretability and data visualization. Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

FineReport

JUNE 24, 2022

However, sometimes we may find some inconveniences in the process of data collection and data visualization. For example, when making routine work analysis reports, we find it is inconvenient to re-summarize the latest data and recreate a new report, especially when the data is in a large volume.

Reporting 52

Reporting IT Sales Recreation/Entertainment 52

FineReport

JUNE 26, 2023

In this article, we will explore what a performance report entails, emphasize the significance of such reports, delve into different types of performance reports, provide a performance report template, and outline the steps to create an effective performance report. What specific metrics or aspects of performance do you want to assess?

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. We’ve just done three.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. synthetic = np.empty((N * t, numattrs)) synth_idx = 0. return synthetic.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. It just looks like plausible English.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

FEBRUARY 4, 2019

For a sample of some of Dr. Kahneman’s recent work, check out this Harvard Business Review (HBR) article, “ Noise: How to Overcome the High, Hidden Cost of Inconsistent Decision Making.” Data science tinkering is typically accompanied by evidence for the merits of the exploration. Articulating process for data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MARCH 3, 2019

Seriously, this entire article merely skims the surface of those reports. Check the end of this article for key guidance synthesized from the practices of the leaders in the field. Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

OCTOBER 23, 2019

This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting, prepping and plotting data. Collecting and prepping data are core research tasks. A complementary Domino project is available. Introduction.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Smart Data Collective

OCTOBER 25, 2023

Aubree Smith has a great article on Sprout Social highlighting the benefits of leveraging them together. Business intelligence typically includes data mining, reporting, data visualization, and performance analytics to provide a clear view of a company’s performance, opportunities, and challenges.

Key Performance Indicator 97

Key Performance Indicator Business Intelligence Data-driven Metrics 97

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

FEBRUARY 22, 2022

Employ a Chief Data Officer (CDO). Big data guru Bernard Marr wrote about The Rise of Chief Data Officers. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

FEBRUARY 9, 2015

How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool. Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. Content Consumption Competitive Analysis. + #OMG Mobile, Where's Mobile Data! CI data collection.

Metrics 155

Metrics Reporting IT Advertising 155

datapine

APRIL 16, 2019

While sometimes it’s okay to follow your instincts, the vast majority of your business-based decisions should be backed by metrics, facts, or figures related to your aims, goals, or initiatives that can ensure a stable backbone to your management reports and business operations. Data driven business decisions make or break companies.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Jet Global

NOVEMBER 2, 2021

They are often used to get a bird’s eye view of performance and are also known as metrics. University KPIs and metrics will help these education institutions direct their policy formulation and target setting. Location Rates: It is very interesting to visualize where all your students are coming from. Effective Data Collection.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52