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Introduction to Market Mix Model Using Robyn

Analytics Vidhya

Introduction Whether it’s an established company or fairly new in the market, almost every business uses different Marketing channels like TV, Radio, Emails, Social Media, etc., to reach its potential customers and increase awareness about its product, and in turn, maximize sales or revenue.

Marketing 319
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Stock market forecasting using Time Series analysis With ARIMA model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is a Stock market? The stock market is a marketplace. The post Stock market forecasting using Time Series analysis With ARIMA model appeared first on Analytics Vidhya.

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How to Use Data Science for Marketing?

Analytics Vidhya

Data science is a game-changer for marketing professionals in today’s digital age. With vast amounts of data available, marketers now have the power to unlock valuable insights and make data-driven decisions that drive business growth. appeared first on Analytics Vidhya.

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China’s Hidden Market for Powerful Nvidia AI Chips

Analytics Vidhya

Deep within the bustling streets of Shenzhen’s Huaqiangbei electronics area, an underground market for high-end Nvidia AI chips has emerged. This hidden world operates discreetly as vendors navigate export restrictions and intense demand for these cutting-edge processors.

Marketing 337
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve!

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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

Additionally, 90% of respondents intend to purchase or leverage existing AI models, including open-source options, when building AI applications, while only 10% plan to develop their own. This allows organizations to maximize resources and accelerate time to market. Cost, by comparison, ranks a distant 10th.

Marketing 128
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Topic Modeling with ML Techniques

Analytics Vidhya

Introduction Topic modeling is a method to use and identify the themes that exist in large sets of data. It’s a kind of unsupervised learning technique where the model tries to predict the presence of underlying topics without ground truth labels.

Modeling 302
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! 📆 September 25th, 2024 at 9:30 AM PT, 12:30 PM ET, 5:30 PM BST

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

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New Research: The State of Supply Chain Network Design in 2022

This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. This report is useful if you are interested in: Exploring new network design insights and capabilities.

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Assess and Advance Your Organization’s DevSecOps Practices

Organizations must advance their DevSecOps practices to deliver high quality, secure digital services to market quickly and efficiently. Datadog's whitepaper introduces a DevSecOps maturity model that technical leaders can use to answer these three questions, and enable their organizations to stay competitive in the digital economy.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Enables Agility : Facilitates iterative value delivery, allowing you to adapt quickly to market changes and emerging opportunities.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Join this webinar to learn how to blend Geospatial data (from SafeGraph), Financial Market and Transaction Data (from Facteus), & Global Websites Visit and Engagement KPIs (from SimilarWeb) to enrich, augment, and improve self-service analytics as well as predictive models.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.