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UID:pretalx-pydataglobal2025-9CMRXJ@cfp.pydata.org
DTSTART:20251209T193000Z
DTEND:20251209T200000Z
DESCRIPTION:Ensuring and communicating data quality (DQ) is one of the most
  persistent challenges in data-driven organizations. Data scientists\, eng
 ineers\, and analysts often struggle not just with detecting DQ issues\, b
 ut with presenting those issues in actionable ways for diverse stakeholder
 s across an organization (e.g.\, pipeline owners\, fellow developers\, les
 s-technical colleagues\, etc). On top of this\, DQ work has an image probl
 em as it can be seen as tedious\, opaque\, or even adversarial.\n\nThis ta
 lk introduces Pointblank\, a Python package designed to make data quality 
 validation and communication both robust and approachable. The library pro
 vides a comprehensive set of tools for profiling\, validating\, and report
 ing on data quality. There’s a strong focus on beautiful and actionable 
 outputs as well. It can help you to generate tabular validation reports\, 
 data summaries\, and granular error reporting that make it easy for anyone
  (technical or not) to understand what’s wrong and why.\n\nAttendees wil
 l learn how Pointblank can help their teams not only catch data issues ear
 ly\, but also communicate them effectively\, fostering a culture of shared
  responsibility for data quality. The talk will include live demos of comm
 on DQ workflows\, showing how Pointblank turns a traditionally painful pro
 cess into something transparent\, productive\, and even a little bit fun.
DTSTAMP:20260612T011922Z
LOCATION:Analytics\, Visualization & Decision Science
SUMMARY:Communicating Data Quality: Making the Invisible Visible (and Fun!)
  with Pointblank - Richard Iannone
URL:https://cfp.pydata.org/pydataglobal2025/talk/9CMRXJ/
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