Bridging the Gap
SEPTEMBER 7, 2023
Imagine you are ready to dive deep into a new project, but amidst the sea of information and tasks, you find yourself at a crossroads: What documents should you create to capture those crucial requirements? The path to success lies in understanding the power of documentation. It defines the scope of the project.
The BAWorld
MARCH 13, 2024
Use Cases & Scenarios: Mapping User Journeys Delineating how users interact with systems, use cases and scenarios document specific activities, inputs, outputs, and anticipated results. User stories empower Agile development teams to collaborate and communicate effectively.
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Cprime
JULY 27, 2021
Data is usually gathered manually and is based on expert opinion. Date is collected infrequently due to the significant effort required to assemble experts and obtain data. Requires tooling and normalizing tooling data Automated data collection may be difficult from document based tools like MS Excel.
Astera
JANUARY 24, 2024
Overcoming Common C hange D ata C apture Challenges Bulk Data Management Handling the bulk of data requiring extensive changes can pose challenges for the CDC. Furthermore, CDC empowers business agility by letting enterprises stay updated with their data as it facilitate s replication across various cloud environments.
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.
Sisense
MARCH 31, 2019
Complete a planning document covering: An outline. Data update frequency. Data requirements. Use the agile methodology to create your implementation towards a small batch of high priority KPIs. Choose low hanging fruit first. Concrete goal(s). Target audience. Call to action.
Astera
MAY 26, 2023
On top of that, each invoice document—with its own distinct layout—carried long lists of goods being ordered for broad categories of products. The retailer had a ten-person team responsible for extracting information, such as order numbers, vendor information, dates, shipping details etc., and entering it into the system manually.
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