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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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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

I use the term external data to include any information about the world outside an organization (including economic and market statistics), competitors (such as pricing and locations) and customers. External data is necessary for many functions, including useful and accurate competitive intelligence used by sales and marketing groups.

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5 tips for transforming company data into new revenue streams

CIO Business Intelligence

Data can be effectively monetized by transforming it into a product or service the market values, says Kathy Rudy, chief data and analytics officer with technology research and advisory firm ISG. It requires ideation, market research, pricing analysis, and go-to-market plans.

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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. However, there’s a significant difference between those experimenting with AI and those fully integrating it into their operations. This is where Operational AI comes into play.

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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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Predictive Analytics Supports Citizen Data Scientists!

Smarten

These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing strategies, partnerships and other components of business management to ensure success. Every industry, business function and business users can benefit from predictive analytics.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines.