How GenAI Bridges the Data Gap Between CMOs and CFOs

Marketing budgets are never entirely safe. While it may seem like pressure is easing as global economic estimates turn slightly sunnier, consumer demand is still getting more expensive to capture and close – which means scrutiny from finance chiefs is as tough as ever. To keep investment flowing, CMOs need to get better at not only boosting…

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Five Demand Generation Best Practices to Help You Build Partner Pipeline

In today’s uncertain economic climate, B2B technology Partner Marketers are under more pressure than ever to hit aggressive partner pipeline targets while demonstrating ROI. Generating leads isn’t enough – effective […] The post Five Demand Generation Best Practices to Help You Build Partner Pipeline appeared first on TechTarget.

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Analytics and Data Science News for the Week of February 23: Updates from Altair, Nasuni, Tableau, and More

Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of February 23, 2024. Keeping tabs on the most relevant analytics and data science news can be time-consuming. As a result, our editorial team aims to provide a summary of the top headlines from the last…

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5 Key Strategies for Making Data Visualization Accessible

“If I can’t picture it, I can’t understand it.” —Albert Einstein Research has found that 65% of the general population are visual learners, meaning they need to see information as images to understand it. The business world confirms this: Visualization is essential in driving success. Take, for instance, data visualization, or, the art of translating data into…

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Fundamentals of Data Virtualization

Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems…

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Eyes on Data: Transforming Data Challenges into Real Progress

In a world increasingly dominated by data, organizations are grappling with the need to effectively manage and harness this valuable asset. And with increased regulations and compliance, opportunities for innovation and AI, digital transformation initiatives, and data-driven decision-making, the demands for accurate, accessible, protected data are increasing exponentially. At the same time, the data management…

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How to Achieve Self-Service Data Transformation for AI and Analytics

Data transformation is the critical step that bridges the gap between raw data and actionable insights. It lays the foundation for strong decision-making and innovation, and helps organizations gain a competitive edge. Traditionally, data transformation was relegated to specialized engineering teams employing complex extract, transform, and load (ETL) processes using highly complex tooling and code….

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