Data lakes

Organize your unstructured data to make the most of it. Collect data from several sources and make it easily available, while also improving the company's discovery, unstructured data analytics, and reporting capabilities.
Data from non-relational sources such as social media, video, photos, text files, text messages, satellite imagery, surveillance data, data generated by sensors and other IoT devices, log data, and scientific data are all acceptable.

You may develop significant business insights by using artificial intelligence processing, analytics tools, business rules engines, and intelligent event processing.

Sentiment analysis

Gain fresh insights into your consumers' perceptions of your organization, goods, and services.Discover the outcomes of marketing initiatives, as well as real-time sentiment about your organization, personnel, goods, or services, and detect online possibilities and dangers.Beyond simple search, which just gives basic information like how often posters cited the firm name following an announcement, gets thorough contextual and tone analysis.Understand the consumer experiences you provide from their perspective.

Non-compliance and fraud detection

Resist non-compliance and fraud by immediate and aggressive measures.
Use artificial intelligence and machine learning to detect fraud and noncompliance in mobile phones, insurance claims, tax return claims, credit card transactions, government procurement, and other sectors.
Test, discover, validate, and repair defects effectively, as well as monitor control systems for fraud and non-compliance-causing behaviors.
To evaluate unstructured and structured data, employ techniques such as data lakes, data mining, data matching, regression analysis, clustering analysis, and gap analysis.