The new privacy-safe tracking methods, which don’t involve Google’s controversial FLoC technology, rely on consented first-party data and machine learning.
This is an extension of the machine learning capabilities added to Google Analytics last year that allow it to surface relevant marketing insights, such as the likelihood of customers making a purchase.
Data Analytics Resources Can Inform Population Health Efforts
With increased access to community-level data, leaders can target their strategies and deliver care to those patients who need it most.
This was the main idea behind a recent move by the US Department of Energy’s Argonne National Laboratory. The institution has announced the release of interactive maps and analytics tools to provide a deeper understanding of the pandemic’s socioeconomic impact.
These resources can help federal officials recognize where the impacts of the virus are most severe, down to the county level . Additionally, these tools reveal with demographic groups and areas of the economy may require recovery support.
11 Ways to Ask Smarter Data Analytics Questions - InformationWeek
“When an experienced data scientist is working on a problem, they’re usually not looking to prove themselves right; they’re looking to prove themselves wrong," said David Robinson, principal data scientist at data science platform provider Heap . "They’re thinking, what if this data source is untrustworthy? Would this be different if I used the median rather than the mean? How could I tell if this conclusion is confounded by other variables?
A couple of factors to consider are context and the level of specificity that's appropriate. For example, 2020 involved many changing contexts including hoarding, supply chain issues, stay-at-home mandates, remote work and shifting consumer behavior that could have altered the way a question should have been articulated. Similarly, is the point to understand a general trend or a trend specific to a segment of a target market using a particular product?
Data, analytics, and digital transformation | VentureBeat
Accurate, complete, and timely data has always been required for success with digital programs. This is even more the case when it comes to large, enterprise-wide digital transformations . Yet, a recent New Vantage survey reported that just 24% of respondents they thought their organization was data-driven, a decline from 37.8% the prior year.
What is the reason for this plunge in becoming data driven? The same New Vantage survey reported that cultural challenges — not technological ones — represented the largest impediment and as many as 92.2% of mainstream companies reported that they have struggled with issues such as organizational alignment, business processes, change management, communication, skill sets, and resistance to change.
TMX Group seeking data & analytics deals to build on expanded capabilities | Reuters
The operator of the Toronto stock exchange, Canada's biggest, said this week it would acquire Tradesignal, a German provider of energy markets analysis tools. The acquisition was undertaken by Trayport, TMX's European wholesale energy markets platform that it bought in 2017.
Its global solutions, insights and analytics business is the biggest revenue contributor, and accounted for about 34% in the first quarter of 2021, a slight increase from a year ago.
ChaosSearch brings SQL support to log analytics | VentureBeat
ChaosSearch today announced it has added support for SQL to a log analytics platform that employs an index engine to make data stored in an object-based cloud storage service available to tools without having to convert it into another format. That SQL capability complements existing support for an application programming interface (API) that is compatible with the open source ElasticSearch engine.
The goal is to make any type of log data available to any type of analytics tool, including analytics applications that employ machine learning algorithms via the ChaosSearch Data Platform, CEO Ed Walsh told VentureBeat.
ChaosSearch Widens the Zone for Data Lake Analytics
When ChaosSearch emerged from stealth last year, its mantra was all about enabling customers to run log analytics on massive amounts of data in Amazon S3 using familiar tools, like Kibana. With today's update, the company is not only supporting Google Cloud's data lake, but it's adding support for SQL analysis using familiar BI tools, like Looker and PowerBI.
In the ongoing war between data lake and data warehouses, ChaosSearch comes down squarely on the side of data lakes. Instead of building endless ETL pipelines to transform data to meet every user's particular needs, ChaosSearch advocates leaving all the data in the data lake, where it can apply patented indexing technology to make the S3 data appear as if it's in a relational database, and then expose that data to open APIs (like Elastic, and now Presto) to let users access it.
Drive business success with data analytics - Journal of Accountancy sponsored report
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Announced today: We're partnering with @PayPal to further accelerate its #DigitalTransformation by providing infras… https://t.co/4zT37qGZvA googlecloud Thu May 13 17:25:48 +0000 2021
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Google Analytics prepares for life after cookies https://t.co/iR5aUbdhWw by @fredericl TechCrunch (from San Francisco, CA) Thu May 13 17:02:08 +0000 2021
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