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!
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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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
NOVEMBER 1, 2023
Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.
Astera
JANUARY 23, 2024
Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.
Astera
DECEMBER 21, 2022
In comparison to cloud data warehouses, on-premise data warehouses pose certain challenges that affect the efficiency of the organizations’ analytics and business intelligence operations. Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.
The BAWorld
APRIL 11, 2022
However, these critical responsibilities of a data analyst vary from organization to organization. . Collaborate with business teams to establish business needs. Convert business needs into data requirements. Clean, transform, and mine data from primary and secondary sources. CCA Data Analyst.
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