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 130

Data Collection Advertising Metrics Reporting 130

Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Embedding real-time dynamic analytics at the edge, at the point of data collection, or at the moment of need will dynamically (and positively) change the slope of your business or career trajectory.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. 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.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Smart Data Collective

MAY 25, 2023

Then adhere to data ethics. Data ethics involves the ethical handling of data, safeguarding privacy, and respecting the rights of individuals. In this article, we will explore its importance and discuss how organizations can uphold privacy and ensure that they work with data the right way.

Data Collection 84

Data Collection Measurement Data-driven Risk 84

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363

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. Take no risks when it comes to protecting data privacy! One change is with conversion rate optimization.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Rocket-Powered Data Science

JULY 21, 2023

Organizations are able to monitor integrity, quality drift, performance trends, real-time demand, SLA (service level agreement) compliance metrics, and anomalous behaviors (in devices, applications, and networks) to provide timely alerting, early warnings, and other confidence measures.

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

Smart Data Collective

OCTOBER 8, 2023

This article delves into the profound impact data analytics can have on fast food legal cases. Methodologies in Deploying Data Analytics The application of data analytics in fast food legal cases requires a thorough understanding of the methodologies involved. Data Collection The process begins with data collection.

Data Analytics 94

Data Analytics Analytics Statistics Data Collection 94

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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 93

Marketing Analytics Marketing Data-driven Analytics 93

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. See this article on data integration status for details.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

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. Andy Przystanski of Lattice makes a similar argument.

Data-driven 128

Data-driven Metrics Software Data Collection 128

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. Well, that’s about it for this article.

Data Analytics 109

Data Analytics Analytics Visualization Optimization 109

Smart Data Collective

MARCH 23, 2022

Well, if you are someone who has loads of data and aren’t using it for your surveys and you would love to learn more on how to use it, don’t go anywhere because, in this article, we will show you data mining tips you can use to leverage your surveys. 5 data mining tips for leveraging your surveys.

Data mining 120

Data mining Marketing Insurance Data Collection 120

IBM Big Data Hub

JUNE 14, 2023

This article will explore the key technologies associated with smart manufacturing systems, the benefits of adopting SM processes, and the ways in which SM is transforming the manufacturing industry. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. The Top 6 Benefits of Data Governance. Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Alation

MARCH 5, 2021

Though data governance has different names and may be described in many ways, this is what we’ll be focusing on in this article: Why is Data Governance Important? Data Governance Roles. 3 Major Forms of Data Governance. Democratizing Data. How Alation Activates Data Governance. Business Benefits.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

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. Introduction. Welcome back to our monthly burst of themes and conferences.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Nowadays, the business intelligence market is heating up. of BI pages.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. Here's why… Real-time data is very expensive. It is expensive from a systems/platforms/data processing/data reporting perspective. PPS: I've mentioned one exception in the past.

Marketing 166

Marketing Metrics Advertising Measurement 166

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 56

Optimization Forecasting Data-driven Strategy 56

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Occam's Razor

OCTOBER 14, 2014

[See step four in the process for creating your Digital Marketing and Measurement Model.]. should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period. Just skip the we can give you data and benchmarks on performance bits.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Domino Data Lab

JUNE 23, 2019

This was all enabled and accelerated by an earlier wave of big data technologies ushered in by Google’s MapReduce paper and the open source project Hadoop. These measurement-obsessed companies have an advantage when it comes to AI. The biggest time sink is often around data collection, labeling and cleaning.

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

Occam's Razor

OCTOBER 12, 2017

Years and years of practice with R or "Big Data." Ask them what they worry about, ask them what they are solving for, ask them how they measure success, ask them what are two things on the horizon that they are excited about. I read articles they write. Years of having used tool x. So on and so forth.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

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

Jet Global

MAY 1, 2023

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. How to measure the value.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52