Decision Analytics, Forecasting and IT

Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

SEPTEMBER 23, 2020

One study forecasts that the market will be worth $23.8 Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

Data Lake

Data Lake Data Warehouse Unstructured Data Big Data

5 Ways B2B Companies Can Use Analytics for Pricing

Smart Data Collective

AUGUST 30, 2022

There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies. We will also talk about ways to incorporate data analytics into these models. Analytics technology can help you significantly in this regard. Needs-Based Pricing.

B2B

B2B Analytics Cost-Benefit Metrics

Data Leaders Brief

Differentiating Between Data Lakes and Data Warehouses

5 Ways B2B Companies Can Use Analytics for Pricing

Webinars

Stay Connected