Big data: keeping the promises of data science
Big data give companies the opportunity to generate value
from the huge volumes of data they amass on a daily basis.
Giving meaning to these non-structured data – which is what data science promises –
involves making careful choices in terms of big data strategy and organization.
Big data architecture
Store exponential data volumes in a high-performance analytics architecture
Big data technologies
Rationalize data sets and mobilize pertinent data science algorithms
Big data consulting
Draw on best practices to gain maximum benefit from a big data strategy
2. Decompartmentalizing big data and BI
Big data uses sophisticated algorithms involving statistics, probability, deep and machine learning to delve into vast repositories of data, enabling businesses to pick up trends, detect anomalies and confirm new use cases – in other words, identify all the patterns that are imperceptible to the human brain.
This unprecedented capacity to scrutinize often-untapped data in such great detail enhances the more conventional indicators obtained through BI and structured data. Combining the information they draw from their big data with the analyses obtained through their BI, businesses can now take better-informed decisions to drive their performance.
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