# Neoway

## About

Saiba como auxiliamos empresas a ganharem eficiência operacional e reduzirem custos, com o uso de Data Analytics e Inteligência Artificial.

- Verified: Yes

## Services

### Enterprise Data Analytics Platforms
- [Business Intelligence & Risk Analytics](https://bilarna.com/services/enterprise-data-analytics-platforms/business-intelligence-and-risk-analytics)

## Trust & Credentials

### Certifications
- Certificação ISO 27001 (ISO)
### Compliance
- ISO
### Data Security
- Certificação ISO 27001

## Frequently Asked Questions

**Q: What are data analytics and artificial intelligence used for in business?**
A: Data analytics and artificial intelligence (AI) are used to help businesses increase operational efficiency, reduce costs, manage risk, and drive revenue growth. These technologies enable companies to analyze large volumes of data to identify patterns, predict outcomes, and automate complex processes. Key applications include fraud detection and prevention, compliance and risk management, automated customer due diligence (KYC/KYB), and predictive analytics for sales and marketing. By leveraging data and AI, organizations can make more informed decisions, optimize their operations, identify new market opportunities, and gain a significant competitive advantage through actionable insights derived from their data.

**Q: How can businesses use data to prevent fraud and ensure compliance?**
A: Businesses can use data analytics and AI to prevent fraud and ensure compliance by automating due diligence processes, monitoring transactions in real-time, and detecting anomalous behavior patterns. Specifically, technologies enable automated Know Your Customer (KYC), Know Your Business (KYB), and Politically Exposed Person (PEP) screenings for onboarding. They can also continuously monitor for changes in customer behavior or business profiles, triggering alerts for potential money laundering (AML) or terrorist financing risks. In financial transactions and digital onboarding, AI models analyze vast datasets to identify fraudulent patterns that humans might miss. This proactive, data-driven approach helps organizations reduce operational losses, meet regulatory obligations more efficiently, and build a more secure and trustworthy operational framework.

**Q: What types of analytics solutions are available for sales and marketing teams?**
A: Sales and marketing teams can leverage analytics solutions that utilize technology, data, and AI to identify high-potential market opportunities, predict outcomes, and generate qualified demand. These solutions provide capabilities such as business opportunity recommendation, which analyzes market data to surface the most promising leads and prospects. Sales predictability tools use historical and real-time data to forecast revenue and conversion likelihood more accurately. For demand generation, analytics can identify target audiences, optimize marketing channels, and personalize outreach at scale. By transforming raw data into actionable intelligence, these tools enable teams to move from intuition-based strategies to data-driven decision-making, ultimately improving targeting efficiency, shortening sales cycles, and increasing return on marketing investment.

## Links

- Profile: https://bilarna.com/provider/neoway
- Structured data: https://bilarna.com/provider/neoway/agent.json
- API schema: https://bilarna.com/provider/neoway/openapi.yaml