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Top five data integration objectives when you do M&A in Gaming / iGaming

BizAcuity

In today’s data-powered world with data fueling everything from essential management systems to customer-focused AI solutions , one thing that often gets in the way is data fragmentation. . Why Data integration plays a vital role for gaming companies? Customer Lifetime Value Optimization.

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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Data Integration as your Customer Genome Project.

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Improve Business Agility by Hiring a DataOps Engineer

DataKitchen

Data-driven companies sense change through data analytics. Analytics tell the story of markets and customers. Analytics enable companies to understand their environment. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

When adopting a cloud strategy, at the beginning, sky’s the limit. Without a well-thought of data strategy and framework in place, the cloud strategy could prove to be more expensive than it has to be. To try and test the platforms in accordance with data strategy and governance. No pun intended.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. Although now the NLP use is in the domain of chatbots and customer services, it is predicted that in the future of BI, it will migrate to other business areas.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?