Over the last month or so, this series has discussed how organizations often deal with a missed big data opportunity in ways that closely resemble the grieving process, and how that process maps to the commonly understood five stages of grief: denial, anger, bargaining, depression, and acceptance. This is the last entry in the series; it focuses on how an organization can move forward effectively with a big data project.
Continuing the five part series which explores how organizations coping with big data often go through a process that closely resembles grief, this segment addresses the point at which the organization finally grasps the reality of big data and realizes the magnitude of the opportunity and challenge?and gets depressed about the reality of it.
Continuing the five part series about the stages of big-data grief that organizations experience, this segment focuses on the first time organizations explore the reality of the challenges and opportunities presented by big data and start to work their way forward?with bargaining.
Continuing this five part series focused on how organizations frequently go through the five stages of grief when confronting big data challenges, this post will focus on the second stage: anger.
My father passed away recently, and so I?ve found myself in the midst of a cycle of grief. And, in thinking about good blog topics, I realized that many of the organizations I?ve worked with over the years have gone through something very much like grief as they?ve come to confront big data challenges?and the stages they go through even map pretty cleanly to the five stages of grief! So this series was born.