Remove Data Modelling Remove Documentation Remove Visualization
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5 Types of Requirements Documents Business Analysts Create

Bridging the Gap

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.

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Chat GPT as a tool for business analysis

Analysts Corner

AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management. This could help save time and effort in process and data modeling. Some suggestions include: 1.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

Tableau and Google Cloud are partnering to help modernize your data and analytics infrastructure and unlock your data’s full value. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems. With Tableau, any user can visually explore that data in real time.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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Business Analysis Digest #37

Passionate BA

It also delves into risk management, quality assurance, and the critical role of project documentation. Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. 14.09, 8 PM CEST. Essential Requirements Practices.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. In this case, once a customer’s documents are scanned and uploaded, the necessary data is extracted from the key documents and then converted to machine-readable form.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data.