By not needing extensive infrastructure for managing and processing big data, businesses can significantly reduce operational costs related to storage, computation, and data management. This directly translates to higher profits.

Development without the complexities of big data handling leads to faster development cycles. Products and features can be brought to market quicker, allowing businesses to capitalize on market demands and trends more promptly.

Simplified development processes mean reduced labor costs and fewer resources required, resulting in direct cost savings. Moreover, the development team can focus on essential features without getting bogged down by data complexities, making the development process more efficient.

A tool that respects data privacy often garners trust from users. Satisfied users are more likely to continue using the tool, leading to increased customer retention and potentially higher revenues through upselling and cross-selling opportunities.

Users are more likely to adopt a tool that doesn't access their big data due to privacy concerns. Higher adoption rates mean more users are paying for or interacting with the tool, increasing revenue streams.

With a tool that can be easily customized to individual client needs, businesses can charge premium prices for tailored solutions. Additionally, the trust gained from users may lead to more upselling opportunities, further boosting revenues.

Businesses can allocate resources more effectively since they do not need large-scale data processing capabilities. This optimized resource allocation improves overall operational efficiency, positively impacting monetary outcomes.

A tool that can be developed and deployed faster and at a lower cost gives businesses a competitive advantage. They can offer innovative solutions to clients quickly, attracting more customers and potentially commanding higher prices in the market.

By respecting data privacy and complying with regulations, businesses avoid potential fines and legal issues associated with mishandling sensitive data. Avoiding legal troubles saves money and preserves the company's reputation.

A tool developed without the reliance on big data can be more scalable, accommodating a larger number of users and clients. Scalability allows businesses to expand their user base without significant increases in operational costs, leading to higher monetary outcomes.