Reducing Operational Costs and Increasing Scalability
Posted: Thu Feb 13, 2025 5:53 am
SMBs can harness the power of artificial intelligence (AI) and predictive analytics powered by machine learning (ML) to identify new customers and expand their customer base, improve customer retention, and transform customer or product data into valuable insights that inform and enhance marketing strategies. SMBs can use these tools and technologies to uncover and forecast hidden insights, trends, metrics, and key drivers in data, which can help them better anticipate customer needs and evolve how they interact or reach customers.
For example, an SMB with an e-commerce site can deliver personalized recommendations in real time that target customers more accurately with ML-powered personalization services, deploying curated new zealand whatsapp number data recommendations and intelligent user segmentation at scale. An SMB can also create customer service chatbots that can answer FAQs and automate customer journeys. In the cloud, SMBs can even create ML predictions in a visual interface that allows them to predict foot traffic, workforce staffing needs, inventory stock, and more.
Finding a cloud provider that maintains an infrastructure designed to scale storage resources can help SMBs meet fluctuating needs, preventing businesses from the time-consuming and often costly task of setting up data warehouses or data lakes. With this infrastructure, the onramp and usage of data analytics services – everything from data ingestion and organization to data monitoring, accessing, and analyzing – can be done in days instead of months. In a cloud infrastructure, an SMB can run and scale analytics in seconds, not minutes, which saves time and money. These operational efficiencies enable SMBs to shift resources to more important tasks and help them better deliver products and services to their customers.
For example, an SMB with an e-commerce site can deliver personalized recommendations in real time that target customers more accurately with ML-powered personalization services, deploying curated new zealand whatsapp number data recommendations and intelligent user segmentation at scale. An SMB can also create customer service chatbots that can answer FAQs and automate customer journeys. In the cloud, SMBs can even create ML predictions in a visual interface that allows them to predict foot traffic, workforce staffing needs, inventory stock, and more.
Finding a cloud provider that maintains an infrastructure designed to scale storage resources can help SMBs meet fluctuating needs, preventing businesses from the time-consuming and often costly task of setting up data warehouses or data lakes. With this infrastructure, the onramp and usage of data analytics services – everything from data ingestion and organization to data monitoring, accessing, and analyzing – can be done in days instead of months. In a cloud infrastructure, an SMB can run and scale analytics in seconds, not minutes, which saves time and money. These operational efficiencies enable SMBs to shift resources to more important tasks and help them better deliver products and services to their customers.