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What Is Hyperautomation?

O'Reilly on Data

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. The data available to our retail business is much more limited.

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Digital Marketing And Analytics: Two Ladders For Magnificent Success

Occam's Razor

Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). They find the closest industry leader (L'Oreal, Booking, Zyrtec, Innocent Drinks, CSC Consulting). One for digital marketing and one for digital analytics.

Marketing 165
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Best Web Analytics 2.0 Tools: Quantitative, Qualitative, Life Saving!

Occam's Razor

What is the first thing you want when you think about web analytics? recommending tools for the complete web analytics 2.0 Disclosure:] I am the co-Founder of Market Motive Inc and the Analytics Evangelist for Google. Web Analytics 2.0. This blog post is about web analytics 2.0. Of course tools. Don't be.

Analytics 136
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Juice Analytics Celebrates Women's Equality Day

Juice Analytics

How does Juice Analytics make you feel supported as a woman? Juice Analytics ensures that everyone feels supported and has the ability to lead with their whole selves. Juice Analytics is the first company I've worked for that acknowledges that children are not just logistical problems to be solved. Here was what they had to say.

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Unlock scalable analytics with a secure connectivity pattern in AWS Glue to read from or write to Snowflake

AWS Big Data

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing. For Workgroup , choose blog-workgroup.

Analytics 104
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10 DataOps Principles for Overcoming Data Engineer Burnout

DataKitchen

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Enterprises must empower data engineers to fix processes instead of just bugs. Imagine a data pipeline error or data problem that impacts critical analytics.

Testing 246
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What is data architecture? A framework to manage data

CIO Business Intelligence

Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Flexible data architectures can integrate new data sources, incorporate new technologies, and evolve with business needs.