The Positive Impact of Data Mining:
The Positive Impact of Data Mining:
In the 5th Annual Survey (2011) data miners shared examples of situations where
data mining is having a positive impact on society. A summary of the top five
positive impact example topic areas is available. Below is the full text of the
positive impact examples they shared in the topic area of Business Improvements:
- We have been using data mining techniques to improve electricity
network forecasts which in turn help manage network capital
expenditure costs which in turn reduces electricity bills. We have also
been developing new tariff scenarios and identifying potentially energy
vulnerable groups within the community.
- Using DM to develop a model to optimize the scheduling of oil shipping
tankers (reduced cost to the company and positive environmental
impact). Due to client confidentiality agreements I couldn't share the
details of the project.
- Determining patterns associated with successful call center agents and
applying those learnings in recruitment and training of agents led to
increased employee, organization and customer satisfaction. That was
- We have used data mining for employee attrition. This will generate
long term ROI of millions of dollars.
- Predictive Maintenance: the ability to maintain a machine or prevent
accidents from happening. Predictive Maintenance could have prevent
the tragedy in the Gulf of Mexico.
- I have seen within our own company the general interest and trust
improve when looking to sound, critical analytic methods and projects.
There's still a lot of 'gut' management going on even when there's data
that obviates the need to use your gut but it's getter better.
- Predictive Churn In Telco Customer Segmentation
- Failure analyses, prediction, and prevention in manufacturing
machines, planes, power plants, etc.
- When true data-driven decisions are made it creates a transparent
management style and a cohesive team with local buy-in.
- Operational / quality efficiency improvement is an area with NO
personal privacy concerns to society.
- Data mining can provide the "brain" of the "business organism" to
provide companies with intelligent proactive business operations.
- Optimizing complex industrial processes that can be modeled by
experimental testing. This helps companies to use energy more
efficiently while making more money.
- It's very "green" ... targeting results in lower mail volumes. It's very
profitable ... it increases the bottom line. It's good for customers ... they
are more satisfied when properly implemented as part of a larger
customer relationship strategy.
- Good tool to reduce waste in a climate of cost reduction and stretched
- Starting to build our own scorecards based on predictive modeling, and
it is working very well.
- The way to model knowledge data driven applied to the E&P industry.
It's useful to upstream / downstream process monitoring and
optimizing. The potential to be used on different areas like the
Petroleum industry is very high.
- Improved production efficiency -> reduced waste and pollution.
Improved understanding of bio-genetics and related immunology.
Improved understanding of sociopolitical and socio-economic
phenomena and trends. Improved security.
- Over the course of the year, I have [become] more intrigued about the
data visualization. With so much data now available, the key will be on
how we present and share this data to provide context and a greater
understanding of realms that have not been explored. This can be used
to provide better products for consumers, improved experiences and
advancement of health care.
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