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The Most Effective Ways to Prepare Your Team for a Customer Experience Transformation | Analyst Catalyst Blog

Analyst Catalyst Blog

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How Today’s Digital-Native Businesses Are Securing the Open Data Lakehouse

Dataversity

Today, we’re seeing more companies embrace cloud-based technologies to deliver superior customer experiences. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. An underlying architectural pattern is the leveraging of an open data lakehouse.

Digital 246
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The Most Effective Ways to Prepare Your Team for a Customer Experience Transformation | Analyst Catalyst Blog

Analyst Catalyst Blog

(..)

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How C-Stores Can Optimize Both the Customer Experience and Data Security

Dataversity

Over the past year, the COVID-19 pandemic has all but silenced any remaining doubt regarding the importance of digital transformation – a truth that is evident across virtually every aspect of how the world now works, shops, and lives. Retailers, and convenience stores (c-stores) in particular, had […].

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Data Analytics Helps Assess the Global Pandemic’s Impact on Marketing

Smart Data Collective

They have found a number of digital marketing strategies work wonderfully when paired with big data technology. From playing games and streaming movies to socializing with friends and online shopping, digital platforms allow people to stay connected and complete everyday tasks safely.

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Three Crucial Phases of a Digital Transformation Journey

Dataversity

In today’s digital era, organizations require a solid foundation of trusted master data to enable impactful digital transformation (DX) efforts and drive better business results at scale. The post Three Crucial Phases of a Digital Transformation Journey appeared first on DATAVERSITY.

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9 Best Practices for Real-Time Data Management

Dataversity

In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.