Analysts Corner
OCTOBER 26, 2023
This time, we’ve got a collection of stories about business analysis, data, agile, and product and project management. We have some interesting write ups about agile, including the future of BA in the world of agile and scrum, and a very poetic comparison between writing good user stories and writing good haiku.
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. This tailored approach is central to agile BI practices.
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BizAcuity
MAY 7, 2019
Good forecast helps in appropriate production planning, process selection, capacity planning, inventory management, etc. It also provides reasonable data for the organization’s capital investment and expansion decisions and eases the process of suitable pricing and marketing. That’s when they turned to technology for aid.
Marutitech
JANUARY 21, 2022
The initial step for any data science management process is to define the team’s appropriate project goal and metrics, i.e., a data science strategic plan. Companies worldwide follow various approaches to deal with the process of data mining. . Data Understanding. Scrubbing data .
Astera
FEBRUARY 28, 2024
Data access tools : Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. Incorporate the following data warehouse design best practices: 16.
Marutitech
FEBRUARY 23, 2022
As you can never predict for one hundred percent what the future might hold, some practices come close to help you with the plans for the future. Technique likes data mining, and predictive modeling estimates the likelihood of future outcomes and alerts you about upcoming events to help you make decisions.
BizAcuity
APRIL 1, 2023
The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.
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