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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Until recently, it was adequate for organizations to regard external data as a nice to have item, but that is no longer the case.

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What is the Difference Between Covariance and Correlation?

Analytics Vidhya

Introduction Comprehending and unleashing the intricate affinities among variables in the expansive realm of statistics is integral. Everything from data-driven decision-making to scientific discoveries to predictive modeling depends on our potential to disentangle the hidden connections and patterns within complex datasets.

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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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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

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The unreasonable importance of data preparation

O'Reilly on Data

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

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Predictive Analytics Supports Citizen Data Scientists!

Smarten

It must be based on historical data, facts and clear insight into trends and patterns in the market, the competition and customer buying behavior. Every industry, business function and business users can benefit from predictive analytics. According to CIO publications, the predictive analytics market was estimated at $12.5