Analysts Corner
OCTOBER 17, 2023
Association Rule Learning: Association rule learning involves the discovery of relationships between attributes in a data set. It is commonly used to uncover hidden patterns and associations in large transactional databases, such as market basket analysis in retail.
Astera
JANUARY 23, 2024
Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.
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The BAWorld
NOVEMBER 24, 2023
The blog discusses key elements including tools, applications, future trends, and fundamentals of data analytics, providing comprehensive insights for professionals and enthusiasts in the field. A retailer, for example, can examine sales data, customer feedback, and marketing campaign data to determine why sales fell in a specific month.
Astera
FEBRUARY 1, 2024
With a combination of text, symbols, and diagrams, data modeling offers visualization of how data is captured, stored, and utilized within a business. It serves as a strategic exercise in understanding and clarifying the business’s data requirements, providing a blueprint for managing data from collection to application.
MindsMapped
JULY 9, 2020
Both roles require the following competencies: 1. Planning, Forecasting and Estimation. Sketching out the work ahead, forecasting resource required and estimation of efforts. Tracing out how changes to one component of a system or plan can have much broader ripple effects. Facilitation Skills. Leadership and Influencing.
Data Pine
OCTOBER 30, 2019
Knowing your audience before you start your analysis – and even more importantly before you put together the report – will keep your reports and data focused and impactful. Have A Detailed Plan And Select Your KPIs. We are going to sound like a broken record here, but have a report plan before you start your analysis.
Astera
NOVEMBER 1, 2023
Data warehouses employ a process called Extract, Transform, Load (ETL) , whereby data is extracted from different operational systems, such as customer relationship management (CRM) platforms, enterprise resource planning (ERP) systems and more and then it undergoes a transformation process to ensure consistency and compatibility.
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