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Meet Zeid Khater, Forrester’s Newest Analyst Covering Customer Data and Analytics

Forrester Digital Transformation

How Did You Get Interested in Data and Analytics? Some weeks after, my family relocated to the United States and settled in the Midwest. My childhood took me from Minneapolis to Milwaukee and eventually to the south suburbs of Chicago, where I currently reside. Growing […].

Analytics 244
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The Event-Driven Data Layer: Unifying Analytics and Development Teams

Perficient Digital Transformation

One common way of implementing tags through Adobe Launch is using a data layer, which is a JSON object (key/value pair) that is loaded onto the page from which attributes are passed through as the user navigates through the website or completes certain objectives.

Analytics 105
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Data science vs data analytics: Unpacking the differences

IBM Services

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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How Leveraging Data and Analytics Will Enhance Your Customer Experience

V-Soft Consulting

In fact, according to Dimension Data, more than 80% of organizations consider customer experience as a competitive differentiator and around the same number of consumers say they consider experience as essential as a part of the services the company offers. Customer experience has become a key differentiator for success.

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How to Stay Competitive in the Evolving State of Martech

How AI-powered analytics are leading to more intriguing and satisfying customer interactions. The growing demand among buyers for open marketing platforms that can support “BYOD” (bring your own data).

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The Transformative Power of Data and Analytics in the Manufacturing Industry

V-Soft Consulting

Central to this digital transformation is the utilization of data and analytics, which have become the driving force behind increased efficiency, improved quality, and smarter decision-making in manufacturing processes. In this blog, we explore the importance of data and analytics in the manufacturing industry.

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Harnessing AI and data analytics can make clean energy more viable

IBM Services

This is where harnessing artificial intelligence (AI) and data analytics can help. Companies that harness AI and data analytics can also make clean energy more viable overall by increasing their cost competitiveness over legacy energy sources. On average, 3.3 Global electricity demands continue to rise.