Analytics Vidhya

OCTOBER 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is the most crucial aspect contributing to the business’s success. Organizations are collecting data at an alarming pace to analyze and derive insights for business enhancements.

Optimization 367

Optimization Data Science Data Collection Publishing 367

Analytics Vidhya

NOVEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. Microsoft Power BI Concepts Data sources in Microsoft Power BI Import Excel Data to Microsoft Power BI Query Editor Inbuilt visuals Conclusion Introduction There is so much data collected in businesses and industries today. […].

Visualization 364

Visualization Data Collection Data Science Publishing 364

Smart Data Collective

APRIL 13, 2020

Freshdesk published an article on the importance of big data in customer service. They detailed a number of the benefits of using data to improve customer satisfaction. According to their analysis, 58% of brands notice a significant improvement in customer retention after turning to data analytics.

Data Collection 141

Data Collection Big Data Cost-Benefit Data-driven 141

Analytics Vidhya

JUNE 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Data Warehousing In today’s fast-moving business environment, organizations are turning to cloud-based technologies for simple data collection, reporting, and analysis.

Business Intelligence 353

Business Intelligence Data Collection Data Science Publishing 353

Analytics Vidhya

JULY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction The volume of data collected worldwide has drastically increased over the past decade. Nowadays, data is continuously generated if we open an app, perform a Google search, or simply move from place to place with our mobile devices.

Data Science 337

Data Science Data Collection Publishing Analytics 337

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

Data Collection 128

Data Collection Data Quality Big Data Data-driven 128

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

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

Analytics Vidhya

JANUARY 17, 2022

Overview In this article, I will walk you through the layers of the Data Platform Architecture. First of all, let’s understand what is a Layer, a layer represents a serviceable part that performs a precise job or set of tasks in the data platform. The different layers of the data platform architecture that we are […].

Analytics 384

Analytics Data Collection Data Science 384

Analytics Vidhya

NOVEMBER 2, 2020

This article is the third in a series of four, where we mention some of the most discussed points to keep in mind before. The post Getting started with Analytics: Data Challenges appeared first on Analytics Vidhya.

Analytics 337

Analytics Data Processing Business Analytics Data Governance 337

O'Reilly on Data

DECEMBER 10, 2019

In that article, we talked about Andrej Karpathy’s concept of Software 2.0. We can collect many examples of what we want the program to do and what not to do (examples of correct and incorrect behavior), label them appropriately, and train a model to perform correctly on new inputs. Yes, but so far, they’re only small steps.

Software 335

Software Machine Learning Risk Data-driven 335

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? The development phases for an AI project map nearly 1:1 to the AI Product Pipeline we described in the second article of this series. The final article in this series will be devoted to debugging.). Identifying the problem.

Marketing 364

Marketing Experimentation Metrics Testing 364

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

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 364

Management Experimentation B2B Machine Learning 364

Data Science and Beyond

JANUARY 23, 2016

Many modern data scientists don’t get to experience data collection in the offline world. Recently, I spent a month sailing down the northern Great Barrier Reef, collecting data for the Reef Life Survey project.

Data Collection 52

Data Collection Machine Learning 52

Analytics Vidhya

MAY 19, 2019

This article was submitted as part of Analytics Vidhya’s Internship Challenge. The post Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos appeared first on Analytics Vidhya. Introduction I’m an avid YouTube user. The sheer amount of content I can.

Data Science 303

Data Science Analytics Machine Learning Data Collection 303

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

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction With technological evolution, data dependence is increasing much faster. Organizations are now employing data-driven approaches all over the world. One of the most widely used data applications […].

Predictive Analytics 291

Predictive Analytics Analytics Data-driven Data Science 291

Rocket-Powered Data Science

JULY 6, 2021

I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. 1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

JANUARY 28, 2019

Almost everyone who reads this article has consented to some kind of medical procedure; did any of us have a real understanding of what the procedure was and what the risks were? The problems with consent to data collection are much deeper. Helen Nissenbaum, in an interview with Scott Berinato , articulates some of the problems.

Insurance 247

Insurance Metadata Data Collection Marketing 247

Rocket-Powered Data Science

JUNE 17, 2022

Reference ] Splunk Observability Cloud’s Federated Search capability activates search and analytics regardless of where your data lives — on-site, in the cloud, or from a third party. Disclaimer: I was compensated as an independent freelance media influencer for my participation at the conference and for this article.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

O'Reilly on Data

JUNE 18, 2019

These data sets are often siloed, incomplete, and extremely sparse. Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes). See this article on data integration status for details.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Smart Data Collective

MARCH 24, 2020

Big Data can be a powerful tool for transforming learning, rethinking approaches, narrowing longstanding gaps, and tailoring experience to increase the effectiveness of the educational system itself. Now it has become so popular that you can even get data structure assignment help from professionals. Data collection.

Big Data 121

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 121

CIO Business Intelligence

MARCH 4, 2025

A major stumbling block is often quality data collection. The insights in this article draw from his experience scaling software businesses in the data protection and cybersecurity domain as well as investing in startups. Overcoming these challenges isnt easy, but its feasible with the right approach.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

Smart Data Collective

MAY 11, 2021

More people are starting to feel uneasy about large tech companies having so much control over their data. This feeling is fueling the growing pushback against advertisers collecting personal data. Why Was Such Unchecked Data Collection Even Allowed? You can read any article you want.

Advertising 126

Advertising Data Collection IT Big Data 126

TDAN

DECEMBER 14, 2021

This column has looked at the variety of ways in which data is harmfully gender segregated and neglects to accurately represent people of all genders, leading to ineffective cityscapes, harmful medications, and ill-fitting uniforms for non-male people.

Data Collection 52

Data Collection Big Data Management 52

O'Reilly on Data

JULY 20, 2021

In the first article of this series, we discussed communal computing devices and the problems they create–or, more precisely, the problems that arise because we don’t really understand what “communal” means. Ownership: Who owns all of the data and services attached to the device that multiple people are using?

Risk 335

Risk Software Interactive Modeling 335

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

O'Reilly on Data

NOVEMBER 13, 2018

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”. Data collection and data markets in the age of privacy and machine learning”.

Machine Learning 277

Machine Learning Risk Management Statistics 277

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.

Marketing Analytics 122

Marketing Analytics Marketing Data-driven Analytics 122

Rocket-Powered Data Science

AUGUST 1, 2018

In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). ” A series of articles that drive home the all-important value of data is being published on the DataMakesPossible.com site.

Big Data 105

Big Data Machine Learning Data-driven Data Science 105

datapine

AUGUST 12, 2020

The examples of business reports that we used in this article can be utilized in many different industries, the data can be customized based on the factual information of the specific department, organization, company or enterprise. These reports also enable data collection by documenting the progress you make.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

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 125

Data Analytics Analytics Statistics Data Collection 125

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

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 105

Data Collection Data-driven Measurement Risk 105

KDnuggets

OCTOBER 28, 2019

Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it.

Data Collection 82

Data Collection IT Data Science 82