Analytics and Data Science News for the Week of April 15; Updates from Google Cloud, Heap, DataRails, and More

Top Analytics and Data Science News for the Week Ending April 15, 2022

The editors at Solutions Review have curated this list of the most noteworthy analytics and data science news items for the week of April 15, 2022. In this week’s roundup, news from Google Cloud, Heap Analytics, and DataRails.

Keeping tabs on all the most relevant data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last month, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy data science and analytics news items.

Top Analytics and Data Science News for the Week Ending April 15, 2022

Google Unveils Innovations to its Data Cloud at Google Cloud Data Summit

These announcements include BigLake and Spanner change streams to further unify customer data while ensuring it’s delivered in real-time, as well as Vertex AI Workbench and Model Registry to close the data to AI value gap. And to bring data within reach for anyone, we are announcing a unified business intelligence (BI) experience that includes a new Workspace integration, along with new programs that further enable our data cloud partner ecosystem.

Read on for more.

New DataRails Survey Finds CFOs Suffer the Most Intensive Daily Manual Work

The findings of a survey by DataRails, a financial planning and analysis solution for Excel users, found that CFOs consider their manual workload more intense than that of any other C-Suite colleague. The survey of 200 CFOs at businesses of up to 500 employees finds that much of the manual pain involves tracking multiple report versions, correcting errors, and chasing data.

Read on for more.

New Heap Analytics Report Finds Teams Miss Important Data with a Manual Data Capture Platform

Teams with automatically captured data define nearly 50 percent of their user events after year 1, giving them a huge advantage over teams who have to manually decide which behaviors to follow and analyze. Changes in user behavior and site architecture render 30 percent of behavioral data stale after only 6 months.

Read on for more.

For consideration in future data analytics news roundups, send your announcements to tking@solutionsreview.com.

Timothy King
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