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 119

Data Collection Data Quality Big Data Data-driven 119

Analytics Vidhya

MAY 15, 2024

Introduction The availability of information is vital in today’s data-driven environment. For many uses, such as competitive analysis, market research, and basic data collection for analysis, efficiently extracting data from websites is crucial.

Data Collection 317

Data Collection Data-driven Marketing Analytics 317

Analytics Vidhya

SEPTEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research.

Big Data 400

Big Data Data Collection Data Science Publishing 400

CIO Business Intelligence

JULY 23, 2024

“Oracle ultimately produced over 160,000 pages of responsive documents to Plaintiffs, as well as over 283 videos consisting largely of internal discussions of the technical operation of Oracle’s data collection and use practices, spanning approximately 173 hours,” the filing said.

Data Collection 102

Data Collection Advertising Risk Consulting 102

Analytics Vidhya

JULY 9, 2022

Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential. Unfortunately, a large part of the data collected is not readily ideal for training machine learning models, this increases […].

Machine Learning 391

Machine Learning Data Science Data Collection Testing 391

Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Organizations are turning to cloud-based technology for efficient data collecting, reporting, and analysis in today’s fast-changing business environment. Data and analytics have become critical for firms to remain competitive.

Data Warehouse 382

Data Warehouse Dashboards Data Collection Data Science 382

Smart Data Collective

AUGUST 27, 2023

This is where data collection steps onto the pitch, revolutionizing football performance analysis in unprecedented ways. The Evolution of Football Analysis From Gut Feelings to Data-Driven Insights In the early days of football, coaches relied on gut feelings and personal observations to make decisions.

Data Collection 91

Data Collection Broadcasting Data-driven Predictive Analytics 91

Analytics Vidhya

OCTOBER 28, 2022

Introduction Data is defined as information that has been organized in a meaningful way. Data collection is critical for businesses to make informed decisions, understand customers’ […]. The post Data Lake or Data Warehouse- Which is Better? appeared first on Analytics Vidhya.

Data Lake 373

Data Lake Data Warehouse Data Collection Data Science 373

Analytics Vidhya

OCTOBER 29, 2022

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. The abundant requirement for data collection made cloud data storage an unavoidable option concerning the […].

Optimization 367

Optimization Data Science Data Collection Publishing 367

Analytics Vidhya

NOVEMBER 6, 2021

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. […]. The post Getting started with Microsoft Power BI appeared first on Analytics Vidhya.

Visualization 364

Visualization Data Collection Data Science Publishing 364

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. It […].

Business Intelligence 353

Business Intelligence Data Collection Data Science Publishing 353

Analytics Vidhya

MAY 3, 2024

Introduction In the field of data science, how you present the data is perhaps more important than data collection and analysis. Data scientists often find it difficult to clearly communicate all of their analytical findings to stakeholders of different levels.

Visualization 318

Visualization Data Science Data Collection Analytics 318

Analytics Vidhya

OCTOBER 18, 2023

Introduction In today’s data-driven world, data science has become a pivotal field in harnessing the power of information for decision-making and innovation. As data volumes grow, the significance of data science tools becomes increasingly pronounced.

Data Science 342

Data Science Data-driven Data Collection Visualization 342

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

Analytics Vidhya

OCTOBER 4, 2023

Efficient AI-based automation in different industries has led to its incorporation in data collection and extraction […] The post Top 5 AI Web Scraping Platforms appeared first on Analytics Vidhya. The primary step generates the base for organizations to work upon and utilize the potential.

Data Collection 328

Data Collection Analytics IT Data Science 328

Analytics Vidhya

MARCH 5, 2023

A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version.

Data Collection 319

Data Collection Management Technology Analytics 319

Analytics Vidhya

MARCH 18, 2023

Introduction The advent of the internet and the potential for mass quantitative and qualitative data collection altered the desire for and potential for measuring processes other than those in human resources.

Management 319

Management Machine Learning Data Collection Measurement 319

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Both are associated with data usage but differ from each other.

Data mining 307

Data mining Data Collection Strategy Data Analytics 307

Analytics Vidhya

FEBRUARY 4, 2023

Introduction As a data scientist, you have the power to revolutionize the real estate industry by developing models that can accurately predict house prices. Get ready to learn about data collection and analysis, model selection, and […] The post How to Build a Real Estate Price Prediction Model?

Predictive Modeling 306

Predictive Modeling Modeling Data Collection Analytics 306

Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Data Warehouse 290

Data Warehouse IT Data Collection Reporting 290

Analytics Vidhya

NOVEMBER 23, 2024

Handling missing data is one of the most common challenges in data analysis and machine learning. Missing values can arise for various reasons, such as errors in data collection, manual omissions, or even the natural absence of information.

Predictive Modeling 208

Predictive Modeling Machine Learning Data Collection Modeling 208

Analytics Vidhya

MARCH 29, 2023

Fog Data Science is a data broker company specializing in acquiring and selling location data. Fog Data Science compiles an extensive database of user location information by purchasing raw geolocation data collected by various smartphone and tablet applications.

Data Science 236

Data Science Risk Advertising Data Collection 236

Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Analytics 271

Analytics Data Collection Reporting Technology 271

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. One type of implementation of a content strategy that is specific to data collections are data catalogs. Data catalogs are very useful and important.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Rocket-Powered Data Science

MARCH 10, 2020

“Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

Data Collection 248

Data Collection Digital Transformation Big Data Forecasting 248

Rocket-Powered Data Science

MARCH 19, 2021

Focus on the strategies that aim these tools, talents, and technologies on reaching business mission and goals: e.g., data strategy, analytics strategy, observability strategy ( i.e., why and where are we deploying the data-streaming sensors, and what outcomes should they achieve?).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Rocket-Powered Data Science

JULY 6, 2021

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

NOVEMBER 13, 2019

While Jonas applauds such inquiry and thinking deeply about the social ramifications of AI research, he is concerned the questions might be reinventing the wheel: “The data collection itself often has serious ramifications that we’ve all been wrestling with for 15 years.

Machine Learning 186

Machine Learning Data Collection Modeling IT 186

KDnuggets

JANUARY 30, 2023

The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 5 Free Data Science Books You Must Read in 2023 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project

Data Collection 145

Data Collection Data Science Modeling 145

KDnuggets

NOVEMBER 4, 2021

Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale. In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning.

Machine Learning 141

Machine Learning Data Collection 141

O'Reilly on Data

JULY 28, 2020

Qualitative data collection tools (such as SurveyMonkey , Qualtrics , and Google Forms ) should be joined with interface prototyping tools (such as Invision and Balsamiq ), and with data prototyping tools (such as Jupyter Notebooks ) to form an ecosystem for product development and testing. Conclusion.

Marketing 363

Marketing Experimentation Metrics Testing 363

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 134

Management Data mining Data Warehouse Data Collection 134

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. The purpose of collection and interpretation is to acquire useful and usable information and to make the most informed decisions possible. What is the keyword? Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

DECEMBER 9, 2021

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. Collecting too much data would be overwhelming and too little – inefficient.

Big Data 134

Big Data Data-driven Key Performance Indicator Testing 134

KDnuggets

JANUARY 25, 2023

ChatGPT as a Python Programming Assistant • How to Use Python and Machine Learning to Predict Football Match Winners • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project • 5 Free Data Science Books You Must Read in 2023

Machine Learning 116

Machine Learning Data Science Data Collection Modeling 116