Remove tag data-analyst
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7 Key Benefits of Proper Data Lake Ingestion

Smart Data Collective

It’s impossible to deny the importance of data in several industries, but that data can get overwhelming if it isn’t properly managed. The problem is that managing and extracting valuable insights from all this data needs exceptional data collecting, which makes data ingestion vital. Sanitizing Data.

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Companies Test Possibilities and Limits of AI in Research and Product Development

Smart Data Collective

Research and development (R&D) is a critical component for any business, especially in today’s data-dependent competitive world. Companies are using AI technologies to automatically analyze large amounts of data and identify patterns that would not be obvious to a human analyst. Bias in Data and Algorithms.

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives. Visualize the problem.

Big Data 331
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CRUD Matrix

Passionate BA

BABOK® v3 defines it as “a two-dimensional matrix showing which user roles have permission to access specific information entities, and to create new records in those entities, view the data in existing records, update or modify the data in existing records, or delete existing records.

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Find Trusted Data at the Right Time with Tableau Catalog

Tableau

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

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All About Conversion Metrics in Marketing: A Comprehensive Guide

Business Analysis Knowledge Share

Examples of Conversion Metrics To understand how to capture the metrics Business Analysts rely on Reqirements Elicitation Techniques. They provide quantifiable data that helps businesses understand how well they are converting potential leads into customers. What are some common data sources for Conversion Metrics?

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Data Agility and Popularity vs Data Quality in Self-Serve BI and Analytics!

ElegantJ BI

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).