Our experts analyse, systematically extract information or deal with data sets that are too large or complex for traditional data-application software. Analysis of big data presents challenges in sampling and observations. Big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value. Currently the use of predictive analysis, user behaviour analytics, other advanced data analytics methods, that extract value from big data, and seldom to a particular data set.
Most important to us in Big data are Volume, Velocity and Variety.
The challenges we mitigate are:
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Capturing Data
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Data Analysis
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Data Storage
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Data Source
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Information Privacy
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Querying
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Search
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Sharing
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Transfer
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Updating
We apply big data use in;
- Customer Experience
- Data Governance
- Driving Innovation
- Fraud and Compliance
- Machine Learning
- Operational Efficiency
- Product Development
- Predictive Maintenance
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