Analysts Corner
OCTOBER 26, 2023
This time, we’ve got a collection of stories about business analysis, data, agile, and product and project management. Essential practices for business analysis success are surely a must read from the list — based on many years of practical experience. and a personal story of becoming a business analyst.
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.
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BizAcuity
APRIL 1, 2023
Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?
BizAcuity
JANUARY 31, 2023
Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?
The BAWorld
FEBRUARY 12, 2024
First, however, you need to understand a few aspects of business process modeling before moving. Business process modeling is not manual. Instead, they are processed by various data mining algorithms that use pre-occupied data to make the business model.
Data Pine
OCTOBER 25, 2022
With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. “Data is what you need to do analytics. click for book source**.
Marutitech
JANUARY 21, 2022
Companies worldwide follow various approaches to deal with the process of data mining. . This method is generally known as the CRISP-DM, abbreviated as Cross-Industry Standard Process for Data Mining. . The CRISP-DM methodology is as follows: Business Understanding. Data Understanding. Conclusion.
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