How and Why to Automate Your SaaS Data Pipeline
Small to medium-sized businesses use, on average, fifteen SaaS applications to boost productivity and open new engagement channels with customers. When data spreads across multiple systems and departments, organizations struggle to achieve a 360-degree view of their customers. Conditioning data for analysis often prompts ETL projects which cost time and money.
Companies that automate their SaaS data pipelines therefore have a huge leg up. They save months in labor, hundreds of thousands of dollars, accelerate the time to analytics, and discover new insights once hidden from view.