Data Analytics

Today, data is being increasingly seen as a source of competitive advantages for businesses of all sizes today. According to an IDC CXO survey in 2020, 87% of CIOs identified

I’m using these habits in 2021 to become a more effective future data scientist.

This month, we are continuing our work on the ongoing previews of DirectQuery for PowerBI datasets and Azure Analysis Services, Small Multiples, and the Model View UI. Also, we are making it easier to specify filters in the DAX CALCULATE function. On the Service side, when you click on a dataset in the workspace list view you will be taken to our new dataset details page, which includes information about when the report was last refreshed as well as actions such as creating a new report. Of course, there is much more, so read on!

13 months of experimentation boiled down to actionable advicePhoto by inlytics on UnsplashIf you’ve been following what I have been saying in other pieces, feel free to skip ahead to the advice in the next session.

How to turn your company’s data analytics into more than just a corporate buzzword

Industry is a prime setting for observational causal inference, but many companies are blind to causal measurement beyond A/B tests. This formula-free primer illustrates analysis design patterns for measuring causal effects from observational data.

What is a Data Analyst? To put it simply, a data analyst is someone who uses technical skills to analyze data and report insights. On a typical day, a data analyst might use SQL skills to pull data from a company database, use programming skills to analyze that data, and then use communication skills to report their results to a larger audience.

Analytics Insight has listed top 10 data scientists who have made their way as maestros to 2021   Ever since the importance of artificial intelligence (AI) and machine learning skyrocketed, data..

Phrophecy.io, a startup developing a data engineering platform, has raised $6.75 million as it launches a SaaS version of its product.

Brent Leary chats with Jay Upchurch;  CIO of SAS on the importance of analyzing the data you create to get valuable insights.

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. Gartner has again recognized Tableau as a Leader—for our ninth consecutive year. 

Many resources exist for the self-study of data science. In our modern age of information technology, an enormous amount of free learning resources are available to anyone, and with effort and dedication, you can master the fundamentals of data science.

Ecommerce merchants and marketers have one major advantage over brick and mortar retailers: data.  When your shoppers come from the internet, you can measure almost every aspect of your interactions with them. However, that advantage doesn’t count for much without...

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

With data ruling the world like never before, the opportunities it has opened in terms of career are immense. Having said that, the career scope in data science is great

Data is here, data is there! So much so that there’s possibly no field all across the world that doesn’t deal with data.

Analytics Insight has listed the top 10 companies hiring data scientists for high salaries In the digital world, companies from across the globe gather and analyze data about their customer

Coursera offers free online classes, specializations, and professional certificate programs. Here are the ones with the highest enrollments.

This article is the last in a series of four, where we mention some of the most discussed points to keep in mind ...