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 167

Data Collection Data-driven Marketing Analytics 167

Smart Data Collective

APRIL 13, 2020

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. Big data is putting those misconceptions to rest.

Data Collection 141

Data Collection Big Data Cost-Benefit Strategy 141

Analytics Vidhya

SEPTEMBER 13, 2022

Organizations are now employing data-driven approaches all over the world. One of the most widely used data applications […]. The post The 6 Steps of Predictive Analytics appeared first on Analytics Vidhya.

Predictive Analytics 283

Predictive Analytics Analytics Data-driven Data Science 283

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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 83

Data Analytics Analytics Data Collection Statistics 83

Analytics Vidhya

NOVEMBER 2, 2020

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

Analytics 323

Analytics Data Processing Data Governance Business Analytics 323

Smart Data Collective

OCTOBER 8, 2023

In such a murky pool, the application of data analytics emerges as an invaluable tool. This article delves into the profound impact data analytics can have on fast food legal cases. In the realm of legal affairs, data analytics can serve as a strategic ally. However, accidents can, and do, happen.

Data Analytics 96

Data Analytics Analytics Statistics Data Collection 96

Analytics Vidhya

OCTOBER 18, 2023

As data volumes grow, the significance of data science tools becomes increasingly pronounced. Data science tools are essential in many facets of the profession, from data collection and preprocessing to analysis and visualization. […] The post Top 5 AI Tools for Data Science Professionals appeared first on Analytics Vidhya.

Data Science 321

Data Science Data-driven Data Collection Visualization 321

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. Multiple methods have been used, but they remain associated with challenges.

Data Collection 308

Data Collection Analytics IT Data Science 308

Analytics Vidhya

AUGUST 3, 2022

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 373

Data Warehouse Dashboards Data Collection Data Science 373

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. appeared first on Analytics Vidhya.

Management 302

Management Machine Learning Measurement Data Collection 302

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 396

Big Data Data Collection Data Science Publishing 396

Smart Data Collective

DECEMBER 15, 2022

Data analytics is not a new term, as it’s the same as interpreting information. Today, business data and analytical insights are the most sought-after to increase revenue and improve corporate decisions. How Are Analytical Insights Formed From Business Data? Data Collection.

Analytics 117

Analytics Visualization Data Collection Statistics 117

Analytics Vidhya

OCTOBER 29, 2022

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 358

Optimization Data Collection Data Science Publishing 358

Analytics Vidhya

OCTOBER 28, 2022

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. We can use it to represent facts, figures, and other information that we can use to make decisions.

Data Lake 361

Data Lake Data Warehouse Data Collection Data Science 361

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 260

Data mining Data Collection Strategy Data Analytics 260

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 383

Machine Learning Data Science Data Collection Testing 383

Smart Data Collective

NOVEMBER 16, 2021

It’s all about revealing patterns and knowledge in potentially unintelligible data. While text analytics and mining remain fledgling technologies, they are already helping businesses in numerous impressive ways. It’s famously impossible to become 100% secure against cyber threats and data breaches. Public Relations.

Analytics 120

Analytics Unstructured Data Data Collection Software 120

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.

Data Collection 303

Data Collection Management Technology Analytics 303

Analytics Vidhya

MARCH 29, 2023

Fog Data Science compiles an extensive database of user location information by purchasing raw geolocation data collected by various smartphone and tablet applications. This collected data is then sold to advertisers, marketing companies, and law […] The post Is Your Privacy at Risk?

Data Science 294

Data Science Risk Advertising Data Collection 294

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Analytics Vidhya

FEBRUARY 4, 2023

Get ready to learn about data collection and analysis, model selection, and […] The post How to Build a Real Estate Price Prediction Model? appeared first on Analytics Vidhya. This blog post will teach you how to build a real estate price prediction model from start to finish.

Predictive Modeling 294

Predictive Modeling Modeling Data Collection Analytics 294

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 273

Data Warehouse IT Data Collection Reporting 273

Analytics Vidhya

JULY 16, 2022

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. This data generation has […].

Data Collection 323

Data Collection Data Science Publishing Analytics 323

Analytics Vidhya

JUNE 7, 2022

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. This is where Data Warehousing comes in as a key component of business intelligence that enables businesses to improve their performance.

Business Intelligence 337

Business Intelligence Data Collection Data Science Publishing 337

Smart Data Collective

JUNE 21, 2023

Analytics is undoubtedly changing the future of the business world. We have talked about a number of the ways that business leaders are investing in big data technology and analytics. The market for talent analytics is projected to be worth $1.8 Big data analytics can help firms save money.

Data-driven 83

Data-driven Analytics Metrics Big Data 83

Smart Data Collective

DECEMBER 17, 2021

Introduction: What is Marketing Analytics and How Does it Help Marketers? Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. The process of Marketing Analytics consists of data collection, data analysis, and action plan development.

Marketing Analytics 96

Marketing Analytics Marketing Data-driven Analytics 96

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 352

Visualization Data Collection Data Science Publishing 352

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

Smart Data Collective

JANUARY 9, 2022

Still, in the world of business, perhaps nothing has benefited the industry more than big data analytics. Understanding your target audience is one of the essential parts of running a business and utilizing Big data analytics is a critical component in doing so. This is where Big data analytics comes into play.

Big Data 136

Big Data Data Analytics Advertising Analytics 136

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. One report found that global e-commerce brands spent over $16.7

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Smart Data Collective

MAY 29, 2022

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. Data analytics helps in meeting these goals.

Data Analytics 133

Data Analytics Analytics Strategy Insurance 133

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Smart Data Collective

MAY 20, 2021

Big data has been highly important to modern organizations. Companies have started using data analytics to better reach their customers and improve their conversions. Online companies in particular have become highly dependent on big data to grow their customer bases.

Data Analytics 120

Data Analytics Analytics Big Data Data Collection 120

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

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. To support the collection of the right data sources — real-time or batch — more quickly into an organization’s process flows, Cloudera supports the concept of universal data distribution (UDD).

Analytics 102

Analytics Insurance IoT Risk 102