Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Data modeling is a complex science that can be difficult to apply to big data. Learn 6 steps for creating effective big data models here.

In this piece, we will take a look at the top 15 big data analytics companies of 2023. If you want to skip our industry introduction, then take a look at the Top 5 Big Data Analytics Companies of ...

Why is data analytics vital to businesses? Businesses have been backing their decisions on statistics for years. So what makes Big Data and data analytics so disruptive?

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics space including Qlik, Salesforce Tableau, SAS and ThoughtSpot.

These top data analytics tools and software applications enable deep insight into business data, creating major competitive advantage.

From accurate forecasting to personalized customer experiences, big data analytics has become an indispensable tool in the modern business landscape.

These include data volume, use cases, frequency of updates, data model changes, security and privacy tests, the addition of data sources and consumers, and customizable analytics.

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space.