Munging in Business Intelligence and Analytics
On the business intelligence side, munging lays the foundation for extracting actionable insights from data across the organization. This includes:
- Consolidating transactional data from multiple systems into unified data marts and warehouses.
- Standardizing data formatting and semantics for consistent reporting.
- Cleansing data to remove errors that could propagate misinformation.
- Enriching data by merging in external demographics, social media feeds and other datasets.
- Applying business logic to derive new KPIs that align to strategic questions.
Such meticulous data wrangling amplifies the business value derived from BI and analytics investments.
What is Data Munging in Analysis?
Data is the lifeblood of the digital age, but raw data in its natural state is often messy, inconsistent, and laden with defects. Before analysis can commence, rigorous data munging is required to transform the raw material of data into a strategic asset that fuels impactful insights.
In this article, we’ll delve into the process of transformation of raw data.
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