Business Intelligence Data Modelling Data Requirement 
Smart Data Collective
JULY 9, 2023
ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.
Sisense
AUGUST 11, 2019
The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.
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Bridging the Gap
JUNE 8, 2023
It’s all about data these days and in this video, Laura Brandenburg explores the key differences between business intelligence and business analyst roles. If you are interested in enhancing your data modeling skills, download our free data modeling training!
Tableau
SEPTEMBER 12, 2024
Spencer Czapiewski September 12, 2024 - 8:38pm Karen Madera Senior Manager, Product Marketing, Tableau We’re in the midst of an autonomous revolution that’s reshaping the way businesses use data to gain a competitive edge, delight customers, and engage employees. Excited to get your hands on Tableau Einstein? Want to learn more?
Astera
FEBRUARY 1, 2024
Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?
Astera
DECEMBER 22, 2022
Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Best Practices to Build Your Data Warehouse .
Astera
JULY 3, 2024
This improved data management results in better operational efficiency for organizations, as teams have timely access to accurate data for daily activities and long-term planning. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.
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