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              Data Analysis Journal

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                          User Segmentation and Power User Analysis in SQL
                          What are user segmentation techniques? How to locate your Power users? How to do user segmentation analysis in SQL?
                          Jun 29, 2020 • Olga Berezovsky
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                              30 Must-Read Books to Become a Better Analyst or Data Scientist - Issue 320
                              A reading list for analysts and data scientists working at the intersection of data, product, and decision-making.
                              Jun 17 • Olga Berezovsky
                                    4
                              Omni: The Better Looker, or Just Another Expensive BI Tool? - Issue 319
                              A deep dive into Omni’s semantic layer, BI-as-code workflow, customer feedback, AI features, and where the tool still falls short.
                              Jun 10 • Olga Berezovsky
                                    18
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                              Figuring Out Chaos. Now What? - Issue 318
                              May recap: How teams are trying to make decisions when the old playbook no longer works
                              Jun 3 • Olga Berezovsky
                                    9
                              10 Data Concepts Analysts Use Every Day - Part 2 | Issue 317
                              From academia to industry: the core analytical principles for separating signal from noise.
                              May 27 • Olga Berezovsky
                                    18
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                                  My Consulting Journey: $0 to $685K in 6 months - Issue 232
                                  Nov 13, 2024 • Olga Berezovsky
                                    106
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                                  10 Must-Know Concepts Every Analyst Should Know - Issue 290
                                  Nov 12, 2025 • Olga Berezovsky
                                    49
                                  5
                                  Refresher on Retention - Issue 236
                                  Dec 11, 2024 • Olga Berezovsky
                                    34
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                                  How To Pull Stories From Data and Make Them Actionable - Issue 251
                                  Mar 26, 2025 • Olga Berezovsky
                                    32
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                                LatestTopDiscussions
                                      When AI Agents Become Users: Rethinking Analytics Tracking - Issue 316
                                      Navigating analytics for AI agents: tracking conversations, testing prompts, and optimizing products in real time.
                                      May 20 • Olga Berezovsky
                                            4
                                      How Asana Found $40M in Recoverable Revenue - Issue 315
                                      A product analytics case study on false churn - and how Asana turned user removals into a $40M product decision - guest post by Kuber Jain
                                      May 13 • Olga Berezovsky and Kuber Jain
                                            13
                                      April Recap: Stop Buying Users You Already Paid For - Issue 314
                                      Your monthly recap of the latest trends, market shifts, and updates in data science and analytics.
                                      May 6 • Olga Berezovsky
                                            11
                                      How to Choose the Right Proxy Metric for an A/B Test - Issue 313
                                      Why the right proxy depends on sample size, noise, and what your past A/B tests can teach you.
                                      Apr 29 • Olga Berezovsky
                                            14
                                      Why Winbacks Are One of the Most Important Growth Signals - Issue 312
                                      Most customers return early. Those who come back later tend to generate less revenue.
                                      Apr 22 • Olga Berezovsky
                                            18
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                                      Claude for Excel: What It Does Well - and Where It Still Falls Short - Issue 311
                                      What Claude for Excel does well, where it still fails, and how to use it safely for analytics and finance
                                      Apr 15 • Olga Berezovsky
                                            8
                                      Amplitude Agents 101: How They Work + 20 Prompts to Try - Issue 310
                                      A practical guide to Amplitude MCP, global and specialized agents, and the prompts that make them more useful.
                                      Apr 8 • Olga Berezovsky
                                            8
                                      March Recap: The Gap Between Analysis and Communication - Issue 309
                                      Your monthly recap of the latest trends, market shifts, and updates in data science and analytics.
                                      Apr 1 • Olga Berezovsky
                                            20
                                          1
                                      What AI Terms Mean for Analytics - Issue 308
                                      The key BI and analytics AI glossary shaping analytics, data workflows, and decision-making.
                                      Mar 25 • Olga Berezovsky
                                            9
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                                Data Analysis Journal
                                Where product, data science, and analytics intersect.
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                                    A short guide to solutions and tips for handling DateTime cases in Python Pandas
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                                    A roundup of free SQL tutorials and articles to either get started with or to keep your querying skills strong.
                                    A Selection Of Python Tutorials for Analysts
                                    A roundup of my favorite tutorials for data analysts to either get started with or upkeep existing Python skills

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