Remove pricing
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Predicting Cryptocurrency Prices Using Regression Models

KDnuggets

In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

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6 Tips for Setting the Price of Your Data Product

Snowflake

Once you’ve determined your first “P” (the product), it’s time to think about the remaining three “Ps” of the famous four Ps of marketing : place, promotion and pricing. The price is right—or is it? Pricing has stumped product teams since the dawn of time (well, almost). Usage-based pricing isn’t new.

Food 94
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How to Create an Amazon Price Tracker Service Using Python?

Workfall

Learn how to build your very own Amazon Price Tracker using Python. Imagine getting alerts right in your inbox when prices drop. In this hands-on, we’ll use Python and the BeautifulSoup library to create an Amazon price tracker. After that, we’ll choose the price at which we want to buy the product.

Python 93
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Introducing Redkite’s Pricing Analytics Solution Powered by Databricks

databricks

Pricing plays a crucial role in the success of any (consumer packaged goods) CPG organization. Beyond covering the basic costs of development, manufacturing.

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How To Package & Price Embedded Analytics

This framework from Software Pricing Partners explains how application enhancements can extend your product offerings.

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Creating Health Plan Price Transparency in Coverage With the Lakehouse

databricks

What is price transparency and what challenges does it present? In the United States, health care delivery systems and health plans alike are.

Systems 107
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Retailers, Supercharge Your Pricing and Promotion Strategies with Snowflake

Snowflake

According to a McKinsey survey , 90% of consumers have noticed that prices are rising. As a result, “more people are looking for value; price is at the top of the list of consumers’ motivations for switching [to different brands and retailers].” Pricing data from vendors and suppliers arrives slowly, hampering assortment decisions.

Retail 52
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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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The Definitive Guide to Predictive Analytics

How to price and package predictive analytics with your product. The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges. Techniques to solve common data challenges and build performant models.

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The Definitive Guide to Embedded Analytics

Inside you will learn: How embedded analytics has become essential to business applications When to buy an embedded analytics solution and when to build one How to go-to-market, from pricing and packaging to external promotion How to build a business case and sell the project internally The future of embedded analytics …plus so much more.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".