This book focuses on the foundations needed to be successful in managing and engaging with data analytics initiatives, bridging the gap between creators and users of data.
✏️ Data Storytelling in the Age of Generative AI – ThinkLinkers DMM 7.0 June 2024
✏️ Panel Discussion – Trust Issues with Data? Tips and Tricks to Overcome This Challenge, ThinkLinkers MDM 6.0 Apr 2023
✏️ Panel Discussion – Enable the end user using Self-Service Analytics, Data Stack Summit, Apr 2023
✏️ Data Governance: Enabler or Hindrance to Data Literacy? ThinkLinkers MDM 5.0 Oct 2022
✏️ Data Governance: Enabler or Hindrance to Data Literacy? – InfoGov World Sept 2022
✏️ Data Literacy – An Inevitable Skill – WITS Spring 2022
✏️ Embracing Data Literacy – Digital Analytics Association DAA One Conference Oct 2021
✏️ Getting Started with Enterprise DevOps – WITS Fall 2021
✏️ Rocky Journey to AI Adoption – Data Salon Conference, Sept – 2019
This book focuses on the foundations needed to be successful in managing and engaging with data analytics initiatives, bridging the gap between creators and users of data. As a management reference guide, it discusses the different types of data strategy needed for succeeding with data, covering topics such as data team composition, types of data analytics, the importance of data storytelling, and identifying data ROI.
Framed by the author’s personal story, the trove of information is made tangible through the compelling narrative with its unprecedented accessibility and readability for a non-technical audience.
If you suffer from fear of data, anxiety around conversations with technical teams, this practical approach book can help with actions you can start implementing right away.
Sangeeta Krishnan