IGS supported an Asset Management Team to convey the benefits of extending their Data Classification (Data Management) in-house offering.
The Problem
An Asset Maintenance company were interested in optimising the value stream of classification of data captured by their systems. They saw an opportunity to develop an automated data classification solution from the data captured to minimise labour effort.
The Challenge
Management realised the team had a limited view of the size of the challenge, available/existing capability in the market, the constraints in computing, AI and Machine Learning capability to enable automation to achieve the results envisioned, as well as what the benefits/considerations of alternatives were.
Our Solution
IGS supported the management team to rapidly highlight the process, options and alternatives available across value chain stages and the benefits and considerations of automated solutions at each stage (including data classification). The report and findings provided decision-making support for extending the in-house automation project.
Benefits
- Rapid identification of options available for consideration
- Considerations of positives and negatives for each option spanning cost, time to deploy and risk factors
- Understanding the “success rate” for each option in level of automation for data classification
- Wider view by stakeholders of the level of effort required across each option, and
- Informed decision making made by Management