Analytics Vidhya

APRIL 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Learn how to get insights from Azure SQL Database: A sample data analytics project using Global Peace Index data appeared first on Analytics Vidhya.

Data Analytics 271

Data Analytics Analytics Data Science Publishing 271

Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

Manufacturing 131

Manufacturing Marketing Data Analytics Analytics 131

Smart Data Collective

FEBRUARY 14, 2023

Data analytics technology has played a huge role in the future of small businesses. One study from March 2020 showed that 67% of small businesses spend over $10,000 a year on data analytics. The furniture industry is among those relying more heavily on data analytics.

Data Analytics 115

Data Analytics Analytics Advertising Sales 115

Smart Data Collective

APRIL 5, 2022

Data analytics has led to a huge shift in the marketing profession. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.

Marketing 124

Marketing Data Analytics Analytics Advertising 124

Smart Data Collective

OCTOBER 17, 2022

Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. Segmentation.

Marketing 118

Marketing Optimization Data Analytics Analytics 118

Smart Data Collective

MARCH 5, 2021

Data analytics has been a very important aspect of modern marketing strategies. A growing number of companies are using data analytics to reach customers through virtually every channel, including email. Email marketing is even more effective for companies that know how to use data analytics to get the most out of it.

Marketing 143

Marketing Data Analytics Analytics ROI 143

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

TDAN

FEBRUARY 14, 2023

In the publishing industry, there are a lot of things we can measure. However, if there is no strategy underlining how and why we collect data and who can access it, the value is lost. Ultimately, data governance is central to […] Not only that, but we can put our business at serious risk of non-compliance.

Data Governance 98

Data Governance Data Analytics Analytics Measurement 98

Analytics Vidhya

JUNE 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Octoparse Hello, Data enthusiasts. I am thrilled to see you here to discuss another compelling use case which supports Data Analytics and Data-Science.

Data Science 331

Data Science Publishing Data Analytics Analytics 331

Smart Data Collective

AUGUST 4, 2020

Fortunately, new data analytics advances can help. Data analytics technology is transforming the future of online education. Countless experts have discussed the relevance of big data for online universities. However, new analytics technology will be just as critical for online training of various careers.

Marketing 117

Marketing Data Analytics Analytics Big Data 117

AWS Big Data

JANUARY 26, 2023

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams. The following diagram illustrates this workflow.

Data Analytics 82

Data Analytics Analytics IoT Publishing 82

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Typical tools for data science: SAS, Python, R. What is Data Analytics?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. Apart from resource management, […].

Big Data 271

Big Data Data Science Publishing Data Analytics 271

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. How Can Data Play an Important Role in GTM? Let’s begin.

Marketing 106

Marketing Data Analytics Analytics Big Data 106

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. Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends.

Optimization 71

Optimization Data Analytics Analytics Data-driven 71

Analytics Vidhya

FEBRUARY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do.

Data Science 330

Data Science Publishing Data Analytics Analytics 330

Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction to Matplotlib If you are interested in data analytics or data visualization you are at the right place to get started.

Visualization 353

Visualization Data Science Publishing Data Analytics 353

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

Data Science 324

Data Science Data mining Machine Learning Publishing 324

Analytics Vidhya

MAY 9, 2022

This article was published as a part of the Data Science Blogathon. Source – bounteous.com Introduction Time Series Analysis and Forecasting is a very pronounced and powerful study in data science, data analytics and Artificial Intelligence.

Forecasting 295

Forecasting Data Science Publishing Data Analytics 295

Smart Data Collective

JANUARY 18, 2021

You can use data analytics to get more value out of your YouTube marketing strategy, especially you understand SEO. Here’s how to use data-driven SEO in your YouTube marketing strategy and maximize your views. Keyword research is one of the most important uses of data analytics for YouTube marketing.

Data Analytics 102

Data Analytics Analytics Data mining Big Data 102

Smart Data Collective

SEPTEMBER 13, 2020

Big data is becoming more important to modern marketing. You can’t afford to ignore the benefits of data analytics in your marketing campaigns. Search Engine Watch has a great article on using data analytics for SEO. How Can Big Data Assist With LinkBuilding? Big data is critical for linkbuilding in 2020.

Data Analytics 100

Data Analytics Analytics Big Data Data mining 100

Analytics Vidhya

APRIL 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data visualization is crucial in Data Analytics. With exploratory data analysis (EDA), we gain insights into the hidden trends and patterns in a dataset that are useful for decision-making. are […].

Interactive 271

Interactive Visualization Data Science Publishing 271

AWS Big Data

JUNE 1, 2023

Amazon Kinesis Data Analytics for Apache Flink is a fully managed service that enables you to use an Apache Flink application to process streaming data. In this blog post, we demonstrate how you can use DJL within Kinesis Data Analytics for Apache Flink for real-time machine learning inference.

Deep Learning 61

Deep Learning Data Analytics Analytics Machine Learning 61

Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction Aggregating is the process of getting some data together and it is considered an important concept in big data analytics. The post Introduction to Aggregation Functions in Apache Spark appeared first on Analytics Vidhya.

Big Data 388

Big Data Data Science Publishing Data Analytics 388

Decision Management Solutions

JANUARY 5, 2021

Bart de Langhe and Stefano Puntoni recently published a great article in the MIT Sloan Management Review called “Leading With Decision-Driven Data Analytics” In contrast to so much of the literature that focuses first on data, they focus on decision-making.

Data-driven 40

Data-driven Data Analytics Analytics Modeling 40

Alation

MARCH 31, 2023

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year. The active metadata helix Indeed, automation was on everyone’s minds.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

Corinium

SEPTEMBER 6, 2021

Acquiring this complimentary portfolio of events contributes to Corinium’s rapid growth strategy, adding to its portfolio of tech-focused in-person, digital and hybrid events for data, analytics and digital innovation-focused executives. It also hosts the Women in AI dinner and Women in AI podcast series.

B2B 435

B2B Deep Learning Digital Transformation Data Processing 435

Smart Data Collective

JANUARY 26, 2022

Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting. We have had time to observe some major developments of legal analytics over the last year.

Data Analytics 70

Data Analytics Analytics Predictive Analytics Insurance 70

Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Regarding data analytics, getting insights from a data mart instead of a data warehouse or external data sources can save companies time and produce more targeted results. The idea of ??data

Data Warehouse 208

Data Warehouse Data Science Publishing Data Analytics 208

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Automated workflows for data product creation, testing and deployment.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Smart Data Collective

JANUARY 29, 2021

Big data helps us assess some of the biggest trends. A number of analytics tools can see market trends , but it is useful to use data analytics to spot social trends as well. One trend that big data helps us understand better is Covid-19. What Data Analytics Says About Covid-19 Influence Buyer Behavior.

Data Analytics 65

Data Analytics Analytics Big Data Recreation/Entertainment 65

Analytics Vidhya

MAY 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Spark is a data analytics engine that is mainly used for. The post 9 most useful functions for PySpark DataFrame appeared first on Analytics Vidhya.

Data Science 191

Data Science Publishing Data Analytics Analytics 191

Smart Data Collective

JULY 2, 2019

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.

Data Analytics 76

Data Analytics Internet of Things Analytics Big Data 76

Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. The post Managing SQL Database on Google Cloud appeared first on Analytics Vidhya. Introduction This article shows how you can create and manage a Cloud SQL Database on Google Cloud Platform and further connect that database to any web application.

Management 389

Management Data Science Publishing Analytics 389

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: farmsio Introduction Water is essential for ensuring food security for the entire world’s […]. The post SWAMP: A High-precision Smart Irrigation System appeared first on Analytics Vidhya.

Data Science 329

Data Science Publishing Analytics IoT 329

Analytics Vidhya

AUGUST 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss some data science interview questions and their answers to help you fare well in job interviews. These are data science interview questions and are based on data science topics.

Data Science 357

Data Science Publishing Analytics Data mining 357

Peter James Thomas

AUGUST 4, 2020

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. The previous Dictionary was not the easiest to read on mobile devices. Because of this, the layout has been amended in this release and the mobile experience should now be greatly enhanced.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98