Prepared for Dwayne K. | Delivered July 20, 2021
Case Studies in Dark Data
Review your project details
Provide information concerning companies who are working with dark data.
Include companies that have analyzed their dark data or data lakes.
Outline any major changes that resulted from that analysis.
Initial research shows that adequate data is available to respond to this request.
Case Study #1 - Risk Reduction
financial services organization
needed better insight and control of their dark data.
This global company had 50,000 employees and faced
legal, operational and security risks.
Some of the risks discovered included
unsecured sensitive data
, personally identifiable information in unsecured locations and more.
Some of the results included
of over 4.5 petabytes of unstructured data.
Case Study # 2 - Health Care
Indiana University Health is examining ways to use dark and unstructured data to
improve patient health care
They have discovered that incorporating insights from
additional transactional data
provides more useful, cost-efficient care.
Data being mined includes
free form notes and audio files
They are also looking at other data to
determine patient patterns
and incorporate socioeconomic factors that can affect patient engagement.
Within the allotted one hour of initial research, we were able to provide summary information on two case studies in the area of dark data and its usage in large corporations.
However, due to the paucity of time, we were unable to provide detailed information on these case studies or outline the other study we found.
We were also unable to deep dive into some of the other dark data information and insights, such as the use of NLP in analyzing dark data.
Additional information can be uncovered if further hours are allotted for additional research. Details on our recommended research paths have been provided in our proposals below. Please select one or more proposals from those provided.