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

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Statistics Business Intelligence Big Data 160

DataKitchen

JUNE 16, 2021

Today, DataKitchen announced the release of the latest book in its groundbreaking DataOps series, Recipes for DataOps Success: The Complete Guide to An Enterprise DataOps Transformation. This book follows on the heels of its successful precursor, The DataOps Cookbook , which has been downloaded more than 14,000 times and counting.

Enterprise 130

Enterprise Data Analytics Data Strategy Modeling 130

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

KDnuggets

JANUARY 23, 2023

Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

Data Science 160

Data Science Deep Learning Machine Learning Data Analytics 160

Smart Data Collective

MARCH 5, 2021

Data analytics have led to a number of major changes in the field of website management and digital marketing. Although data analytics tools have offered a number of opportunities and benefits for business owners relying on their websites to reach new audiences, many of them don’t know how to use them effectively.

Metrics 142

Metrics Data Analytics Analytics Advertising 142

Smart Data Collective

NOVEMBER 26, 2021

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. It lays a core foundation necessary for business planning.

Marketing 131

Marketing Data Analytics Key Performance Indicator Analytics 131

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Here are eight highly recommendable books to help you find that special gift. ?? ?? ???. How did we get here?

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Smart Data Collective

FEBRUARY 21, 2021

Data analytics is very important to the future of marketing. A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. It’s fuel and blood for any business.

Data Analytics 120

Data Analytics Strategy Analytics Data-driven 120

Smart Data Collective

FEBRUARY 5, 2021

Data analytics has made forex trading easier than ever. Unfortunately, some traders are reluctant to take advantage of these opportunities, because they don’t know how to use new data analytics tools to their advantage. AI and Data Analytics Changed Forex Trading Forever. Be careful, though.

Data Analytics 130

Data Analytics Analytics Big Data Predictive Analytics 130

Smart Data Collective

MARCH 28, 2022

Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Types of data analytics. Data analytics in education.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

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 195

Data Science Publishing Data Analytics Analytics 195

DataKitchen

JANUARY 10, 2022

Today, DataKitchen announced the release of the latest book in its groundbreaking DataOps series, Recipes for DataOps Success: The Complete Guide to An Enterprise DataOps Transformation. This book follows on the heels of its successful precursor, The DataOps Cookbook , which has been downloaded more than 14,000 times and counting.

Enterprise 169

Enterprise Data Analytics Data Strategy Modeling 169

DataKitchen

MAY 7, 2024

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One (..)

Data Quality 161

Data Quality Testing Consulting Metrics 161

CIO Business Intelligence

JANUARY 13, 2025

And theyll get this level of granularity without needing a thousand-person operation or a billion-dollar data analytics budget. Prediction #5: There will be a new wave of Data and Analytics DIY.

Technology 133

Technology Interactive Cost-Benefit Testing 133

Octopai

FEBRUARY 26, 2025

This is the first event Octopai and Cloudera join forces to bring to the market the only true hybrid platform for data, analytics, and AI as well as the best-in-class data lineage and metadata management platform.

Data Analytics 52

Data Analytics Analytics Metadata Marketing 52

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Engineering and EDA (Exploratory Data analytics) are the techniques. The post 20 Questions to Test Your Skills on Feature Engineering and EDA appeared first on Analytics Vidhya.

Testing 161

Testing Data Science Publishing Data Analytics 161

AWS Big Data

DECEMBER 4, 2024

Ranu Shah is a Software Development Manager with AWS Analytics services. She loves building data analytics features for customers. Outside work, she enjoys reading books or listening to music. Gal Heyne is a Technical Product Manager for AWS Analytics services with a strong focus on AI/ML and data engineering.

Visualization 118

Visualization Sales Data-driven Analytics 118

Smart Data Collective

JULY 27, 2022

They use data analytics tools to improve financial management, One of the ways that many companies are using big data is to improve the way that they manage appointments. They can use data-driven appointment management tools to make this process easier than ever. Book Like a Boss. If you are using vyte.in

Big Data 126

Big Data Management Data-driven Software 126

Juice Analytics

NOVEMBER 27, 2024

In this season of giving, we wanted share some of our favorite ideas for sharing the data love and encourage more effective data storytelling. The following list is a fragrant mix of self improvement, everyday products with visualizations, data art, and data books for kids. Happy Holidays!

Visualization 52

Visualization Data-driven Dashboards Measurement 52

Smart Data Collective

DECEMBER 2, 2019

Travel booking is only one of the areas being heavily automated by machine learning algorithms. There are many sites available today which helps its users to book cheap flights using analytics. Adding a tool like this to an online travel agency portal is a smart way to hook customers in and entice them to book more trips.

Big Data 145

Big Data Machine Learning Forecasting Data Science 145

Sisense

MARCH 6, 2019

This is why I liked that James Richardson, Sr Director Analyst at Gartner, chose to share a slide with the titles of the three books written by one of my favorite authors – Yuval Noah Harari. Analytics leaders can only get buy-in if people understand the story of the journey and its purpose. Without it, they cannot drive change.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

Smart Data Collective

NOVEMBER 22, 2021

Big data has been a powerful force of change in the fitness industry. More fitness companies are using data analytics, AI and other technology to better understand their customers, improve their operating margins and make other changes to adapt to new trends. The Role of Big Data in Fitness.

Big Data 145

Big Data Data-driven Software Data Processing 145

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. However, many brands don’t listen to experts detailing the rising importance of big data.

Data Collection 141

Data Collection Big Data Cost-Benefit Data-driven 141

CIO Business Intelligence

JANUARY 21, 2025

Lee described an AI travel agent driving increased bookings with an intuitive AI-powered product that 83% of users preferred over traditional search options, propelling daily profits above $1 million. However, data-driven organizations can use 2025 as a year to realign their data, analytics, and AI efforts to seek out more strategic benefits.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Data Analytics 52

Data Analytics Analytics ROI Data-driven 52

Smart Data Collective

OCTOBER 13, 2020

Our global team of automotive specialists has authored this collection of articles with the hopes of sharing what possibilities analytics offers your company and what you should consider when considering an analytics-driven initiative,” Patil and his colleague write. How Data Analytics is Reshaping Auto Transport.

Data-driven 136

Data-driven Big Data Manufacturing Insurance 136

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

DataKitchen

JANUARY 2, 2021

DataOps provides “ the foundational data operations for operationalizing AI models. It improves the flow of data to points of consumption in the business.” DataOps describes “how you do data management.”. Book: The DataOps Cookbook. Data-AI Role Alignment. On-Demand Webinar: How to Build a Winning Data Team.

Testing 130

Testing Machine Learning Reporting Modeling 130

CIO Business Intelligence

JUNE 14, 2022

For years, IT and data leaders have been striving to help their companies become more data driven. But technology investment alone is not enough to make your organization data driven. Laney, a former distinguished VP analyst at Gartner, studied how companies used their data when he was with the research firm. “We

Data Transformation 145

Data Transformation Data-driven Data Strategy Strategy 145

Smart Data Collective

DECEMBER 13, 2021

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. Use data to strengthen brand identity. This is especially true with Google Ads.

Data-driven 145

Data-driven Marketing Strategy Big Data 145

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

OCTOBER 5, 2021

While car companies lowered costs using mass production, companies in 2021 put data engineers and data scientists on the assembly line. That’s the state of data analytics today. . Figure 2: Data operations can be conceptualized as a series of automated factory assembly lines. The post What is a DataOps Engineer?

Testing 152

Testing Dashboards Measurement Experimentation 152

Smart Data Collective

OCTOBER 13, 2020

You need to understand the growing importance of analytics in social media marketing, as well as the big data tools that can assist with it. The Growing Importance of Analytics in Social Media Marketing. There are plenty of reasons to invest in data analytics as a social media marketer. Social Champ.

Marketing 130

Marketing Analytics Publishing Big Data 130

Smart Data Collective

AUGUST 4, 2022

Data analytics technology has changed many aspects of the modern workplace. A growing number of companies are using data to make more informed hiring decisions , track payroll issues and resolve internal problems. Keep reading to learn more about the benefits of a data-driven approach to conducting employee performance reviews.

Data-driven 135

Data-driven Metrics Data Collection Software 135

CIO Business Intelligence

AUGUST 16, 2022

Digital twins will likely do for the infrastructure space what various platform models have already done for music, books, retail, and gig economy services. Another use case relates to worker safety.

Visualization 145

Visualization Cost-Benefit IoT Digital Transformation 145

Smart Data Collective

DECEMBER 22, 2021

There is no question that big data is changing the nature of business in spectacular ways. A growing number of companies are discovering new data analytics applications, which can help them streamline many aspects of their operations.

Data-driven 123

Data-driven Big Data Cost-Benefit Software 123