Client is the world’s largest music content company with market-leading positions in recorded music, music publishing, and merchandising. With the global presence, they are the largest “BIG 4” recording company with a leading market share and numerous subsidiaries.
The client faced problems forecasting their monthly sales records as it was difficult to curate and model data from various sources. Moreover, the records/data were raw and cluttered that made fetching accurate information at the right time difficult. So they required professionals who can analyze the inaccurate data, extract, transform, and load them as comprehensible datasets that could help them streamline sales performance.
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