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How Data-Driven Decision-Making Can Revolutionize Your Business?

Analytics Vidhya

The answer lies in the power of data-driven decision making! According to a PwC’s survey, highly data-driven organizations are 3X more likely to report significant improvements in decision-making compared to those who rely less on data.

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Netflix Case Study (EDA): Unveiling Data-Driven Strategies for Streaming

Analytics Vidhya

Introduction Welcome to our comprehensive data analysis blog that delves deep into the world of Netflix. Netflix’s Global Reach Netflix […] The post Netflix Case Study (EDA): Unveiling Data-Driven Strategies for Streaming appeared first on Analytics Vidhya.

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Data Lineage: Case Studies of Data-Driven Businesses

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […].

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Data Driven Culture: A Far-fetched Goal for Organizations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. A data-driven culture is when data is used to make decisions at every level of the organization.

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Why Modern Data Challenges Require a New Approach to Governance

A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit.

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Top 14 Marketing Analytics Tools for Data-Driven Marketers

Analytics Vidhya

AI marketing analytics tools help a marketer plan strategically from the cluster of data […] The post Top 14 Marketing Analytics Tools for Data-Driven Marketers appeared first on Analytics Vidhya. Insightful metrics allow marketers to identify what works and what does not.

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Using KNIME for Data Driven Decision Making

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” Companies like Google, Amazon, and Microsoft gather large bytes of data, harvest it, and create complex tracking algorithms.

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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What We Learned From Our Own Data-Driven ABM Strategy

ZoomInfo has created the following eBook to help other B2B organizations gain insights on how to launch their own data-driven ABM strategy. In just 90 days, we were able to increase our pipeline by 114% and the customer base for this particular product by 30%.

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MLOps 101: The Foundation for Your AI Strategy

Why do AI-driven organizations need it? How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives? Download this comprehensive guide to learn: What is MLOps? What are the core elements of an MLOps infrastructure?

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5 Key Elements for Building a Successful Data-Driven Product

Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. The criteria you should use to vet available data sources.

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Pressure Points: How to Ensure Your B2B Pipeline Passes Inspection

you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement. This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E