Sun.Nov 28, 2021

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What is Business Architecture ?

Business Analyst Mentor

What is Business Architecture and how do you Define Business Architecture?

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Test Documentation with ISO/IEC/IEEE 29119-3:2021

Mocrotool

When setting up a new test project, the question usually soon arises as to which documents should be created. Here, one’s own quality management system (QMS) or, for example, that of the customer can provide the answer, if a QMS exists at all. Many testers know and follow the IEEE 829 “IEEE Standard for Software Test Documentation” There are extensive materials based on IEEE 829.

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Data Wrangling and Exploratory Analysis

The BAWorld

The primary purpose of data scientists is to find a suitable data science model for the massive amount of data. A data science model refers to organizing the data elements and extracting meaningful insights from raw, unstructured data. A data scientist may further process the data science model using data wrangling and exploratory analysis, among other scientific technologies and algorithms. .

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Test Documentation with ISO/IEC/IEEE 29119-3:2021

Mocrotool

When setting up a new test project, the question usually soon arises as to which documents should be created. Here, one’s own quality management system (QMS) or, for example, that of the customer can provide the answer, if a QMS exists at all. Many testers know and follow the IEEE 829 “IEEE Standard for Software Test Documentation” There are extensive materials based on IEEE 829.

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Business Valuation Software: Free Guide to Valutico Platform

Explore our free guide to Valutico, the platform that revolutionizes automated report generation, offers access to 1 million M&A transactions, enables quick benchmarking, and streamlines the entire valuation process. With Valutico, you gain access to: 30-Minute Valuations: Rapidly producing accurate results. 3TB of Financial Data: The expansive data you need at your fingertips.

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Exploratory Data Analysis: Tools, Types & Functions

The BAWorld

Exploratory Data Analysis (EDA) tools provide a better understanding of the data variables and their relationships. This, in turn, helps in deciding how to manipulate data for complex analysis, like determining the machine learning algorithm, features selection, and creating new features using business knowledge. It also helps stakeholders confirm whether they are asking the right questions or if the data is suitable for the business problem or opportunity.