Analysts Corner
FEBRUARY 5, 2023
Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Food for thought and the way ahead! What do you think?
Astera
APRIL 24, 2024
Example Scenario: Data Aggregation Tools in Action This example demonstrates how data aggregation tools facilitate consolidating financial data from multiple sources into actionable financial insights. Loading: The transformed data is loaded into a central financial system.
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Astera
DECEMBER 28, 2023
Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. However, for reasons such as cost, complexity, or specific feature requirements, users often seek alternative solutions. Automate and orchestrate your data integration workflows seamlessly.
Astera
DECEMBER 28, 2023
Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. However, for reasons such as cost, complexity, or specific feature requirements, users often seek alternative solutions. Automate and orchestrate your data integration workflows seamlessly.
Astera
JANUARY 19, 2024
Mulesoft Pricing MuleSoft’s Anypoint Platform is an integration tool with a notably high cost, making it one of the more expensive options in the market. The pricing structure is linked to the volume of data being extracted, loaded, and transformed, resulting in monthly costs that are challenging to forecast.
Business Analysis Knowledge Share
OCTOBER 24, 2023
Historical Analysis Business Analysts often need to analyze historical data to identify trends and make informed decisions. Data Warehouses store historical data, enabling analysts to perform trend analysis and make accurate forecasts. Data Quality Data quality is crucial for reliable analysis.
Astera
APRIL 29, 2024
Under a data governance program, organizations consider questions like: How are data governance principles applied in daily operations? How is the impact of data governance programs on quality and business outcomes measured? How are the data quality issues identified and resolved within the strategy?
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