Bringing disparate data to a single unified format allows you to simultaneously use data from different sources and formats and enhances its value for collaborative analysis

Data grouped by different business aspects, such as sales, plans, budgets, field reports, external statistics, etc. provides better insights

Determination of a wide range of additional product attributes makes analysis a real value for business. Segmentation of outlets tightly aligns with sales regions

Most data, especially external data, requires a substantial amount of prep work before usage

Primary data often contains varied anomalies in forms of outliers, duplicates, and missing data - it is impossible to conduct a thorough analysis unless all of these problems are eliminated

Matching data from different sources and assigning a single global code across all commodity items is often a necessary basic condition for correct data analysis