Analytics Vidhya

APRIL 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Microsoft Power BI is a collection of apps, software services, The post Rise of Microsoft Power BI as a Data Analytics powerhouse appeared first on Analytics Vidhya.

Data Analytics 282

Data Analytics Analytics Data Science Publishing 282

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 Strategy Data Analytics Modeling 130

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

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 252

Data Analytics Analytics Data Science Publishing 252

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

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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 119

Data Analytics Analytics Big Data Data Collection 119

KDnuggets

JANUARY 23, 2023

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

Data Science 157

Data Science Deep Learning Machine Learning Data Analytics 157

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 110

Marketing Data Analytics Key Performance Indicator Analytics 110

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 85

Data Analytics Software Analytics Statistics 85

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 128

Metrics Data Analytics Analytics Advertising 128

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 Governance 52

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.

Strategy 99

Strategy Data Analytics Analytics Data-driven 99

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 Strategy Data Analytics Modeling 169

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 40

Data Analytics Analytics ROI Data Governance 40

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

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 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 102

Data Analytics Analytics Big Data Predictive Analytics 102

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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 158

Data Science Publishing Data Analytics Analytics 158

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 112

Big Data Management Data-driven Software 112

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 144

Testing Data Science Publishing Data Analytics 144

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

Sisense

MAY 18, 2021

If marketing were an apple pie, data would be the apples — without data supporting your marketing program, it might look good from the outside, but inside it’s hollow. In a recent survey from Villanova University, 100% of marketers said data analytics has an essential role in marketing’s future. Deven says.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

DataKitchen

APRIL 18, 2024

Our journey hasn’t been a sprint but a marathon, with varied strategies deployed to embed DataOps into the heart of data teams. We’ve written two books, manifestos, and training programs and spoken at hundreds of conferences and podcasts. As an industry, we have a conceptual hole in how we think about data analytic systems.

Testing 117

Testing Data Quality Enterprise Data Analytics 117

CIO Business Intelligence

MAY 7, 2024

For example, we love enumerating things that have become obsolete — BlackBerries, cassette tape players, DVDs, floppy disks, overhead projectors, paper phone books, you name it. And being right early in pronouncing demise brings even more cachet.

Big Data 120

Big Data Statistics Machine Learning Data Science 120

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 127

Big Data Data-driven Software Data Processing 127

Cloudera

OCTOBER 13, 2021

Using these books, you can answer questions such as: . What’s data analytics and why is everyone talking about it?”. The book details how to implement such a system, enabling and supporting your business’ growth. . Read the book to find out what they mean, and why NiFi is an essential tool for data ingestion and movement.

Machine Learning 75

Machine Learning Internet of Things IoT Modeling 75

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 131

Big Data Machine Learning Forecasting Data Science 131

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 Strategy 141

CIO Business Intelligence

NOVEMBER 14, 2023

Mainframes, in their journey of evolution, have exemplified this by integrating with the cloud, data analytics, and other cutting-edge technologies. Whether you’re withdrawing money from an ATM or booking a flight, the reliable pulse of a mainframe is often working behind the scenes.

IT 110

IT Digital Transformation Technology Measurement 110

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

TDAN

NOVEMBER 3, 2020

In the September issue of TDAN.com, Anthony Algmin denounced Data Catalogs as a “1980’s solution to a 2020’s problem.” What is the state of data science today? As I state in my book, The Data Catalog: Sherlock Holmes Sleuthing for Data Analytics and in many articles, 80% (or more) of a data analyst’s […].

Data Science 59

Data Science Data Analytics Analytics Data Quality 59

Smart Data Collective

NOVEMBER 28, 2022

Investments in analytics tech have risen commensurately, with some 73 percent of respondents telling IDC that they expect to spend more on data-focused software than any other category in 2023. While emphasizing data analytics has become the standard for the business community as a whole, smaller teams are often the exception.

Business Analytics 105

Business Analytics Analytics Business Intelligence Sales 105

DataRobot Blog

SEPTEMBER 22, 2022

After a successful Proof of Value, French insurance giant Matmut was able to automate its manual predictive analytics process using DataRobot AI Cloud. Will you be onsite at Big Data & AI Paris? Use this link to book a 1:1 meeting with the DataRobot team onsite. Book a Meeting.

Big Data 52

Big Data Insurance Experimentation Data Science 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 132

Data-driven Big Data Manufacturing Insurance 132

DataKitchen

JUNE 7, 2021

Improve Collaboration, both Inter- and Intra -team – If the individuals in your data-analytics team don’t work together, it can impact analytics-cycle time, data quality, governance, security and more. We view the steps in analytics creation and data operations as a manufacturing process.

Testing 130

Testing IT Measurement Data-driven 130