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.

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Data Collection Data-driven Marketing Analytics 317

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 291

Predictive Analytics Analytics Data-driven Data Science 291

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.

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Data Collection Big Data Cost-Benefit Data-driven 141

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 382

Data Warehouse Dashboards Data Collection Data Science 382

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.

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Big Data Data Collection Data Science Publishing 400

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. Drones Surveyors Are Pioneers in the Data Analytics Field.

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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

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.

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Data Lake Data Warehouse Data Collection Data Science 373

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 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.

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Visualization Data Collection Data Science Publishing 364

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.

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Visualization Data Science Data Collection Analytics 318

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 353

Business Intelligence Data Collection Data Science Publishing 353

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.

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Data Science Data-driven Data Collection Visualization 342

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 […].

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Data Science Data Collection Publishing Analytics 337

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.

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Management Machine Learning Data Collection Measurement 319

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.

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Data Collection Analytics IT Data Science 328

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.

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Data Collection Broadcasting Data-driven Predictive Analytics 98

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.

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Data mining Data Collection Strategy Data Analytics 307

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.

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Data Collection Management Technology Analytics 319

Cloudera

JUNE 9, 2022

With the rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud business processes, etc.), controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

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Data Collection IoT Data Lake Unstructured Data 94

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.

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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

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”).

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Analytics Machine Learning Data Science Data Collection 167

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?

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Data Science Risk Advertising Data Collection 236

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence.

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Business Intelligence Analytics Cost-Benefit ROI 214

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.

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Analytics Unstructured Data Data Collection Software 133

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 139

Data Analytics Analytics Big Data Data Collection 139

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.

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Data Analytics Analytics Statistics Data Collection 125

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

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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.

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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.

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Marketing Analytics Marketing Data-driven Analytics 122

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture components A modern data architecture consists of the following components, according to IT consulting firm BMC : Data pipelines. A data pipeline is the process in which data is collected, moved, and refined. It includes data collection, refinement, storage, analysis, and delivery.

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Dataiku

JUNE 27, 2024

Data collection is not new to the enterprise and serves as the foundation for all analytics across organizations. However, collecting information about someone’s gender, race, religion, or sexual orientation has a storied history around the world. Many ask, “Why do you need this data?

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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.

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Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere is not just for data managers.

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Data Warehouse Metadata Digital Transformation Machine Learning 325

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. The model and the data specification become more important than the code.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

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.

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