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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

External data is necessary for many functions, including useful and accurate competitive intelligence used by sales and marketing groups. It is also essential for the effective application of AI using ML for business-focused planning and budgeting and predictive analytics.

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Proptech and the proper use of technology for house sales prediction

KDnuggets

Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property. We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations.

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6 Ways to Improve Your Predictive Models in Data Science

KDnuggets

Whether you aim for building the perfect image classifier, sales predictor, or price estimator, these six pracitcal tips and insights will help you get there!

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

CIO Business Intelligence

For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting. Ive seen this firsthand.

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Data Insights for Everyone — The Semantic Layer to the Rescue

Rocket-Powered Data Science

For example, if I am searching for customer sales numbers, different datasets may label that “ sales ”, or “ revenue ”, or “ customer_sales ”, or “ Cust_sales ”, or any number of other such unique identifiers. What a nightmare that would be! But what a dream the semantic layer becomes!

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

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Predictive Modeling Does Not Have to be Complicated!

Smarten

Assisted Predictive Modeling Delivers Predictive Analytics to Business Users! When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. While predictive analytics techniques and predictive modeling does include complicated algorithms.