Analytics platforms have evolved considerably over the last decade, adding capabilities that extend far beyond the last generation’s on-premises reporting and business intelligence (BI) tools. Modernized data visualization, dashboarding, analytics, and machine learning platforms serve different business use cases, end-user personas, and data complexities. Â
While analytics platforms have reached mainstream adoption, many businesses in lagging industries want to develop their first dashboards and predictive analytics capabilities. They recognize that managing analytics in spreadsheets is slow, error-prone, and hard to scale, while using reporting solutions tied to one enterprise system can be limiting without integrations to other data sources.
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