Business Oriented Data Solutions

AI-based technology has revolutionized the field of Business Analytics, today BA combines applications, skills, technologies, and processes to provide data-driven information for companies. Here are some industries and use cases where AI-based BA tools can be applied.

Banking and Finances: fraud detection, credit risk analysis, and prediction of delinquency helping the industry to identify risks and take action to prevent fraud and morosity.

Taxes: we have developed a solution geared to corporate tax reporting and auditing. We know how difficult it is to collect, consolidate, transform and audit tax-related data. We have been able to reduce the manual requirements from these processes and produce consistent and traceable audit-ready reports to be used by our client regulatory reporting teams. CLICK HERE for more information.

Sales: forecast models, demand predictions, trend and seasonality analysis can be applied to any real-world case, as well as pricing & profit maximization. Maintain data consistency across enterprise systems is a very tedious task. Sales representatives need to spend their critical time entering data into the CRM system as well as the ERP system. Finance analysts have to replicate the data and enter it into another system or module. This may result in duplication, produce errors and affect productivity. We can develop RPA systems that can perform sales activities end-to-end by automating tasks such as sales order entry, invoicing, etc. It will help to maintain a database by removing duplicate data, improve customer experience, and increase your sales employees’ satisfaction by removing all the time-consuming tasks like data entry and can concentrate on their main task- prospecting, and generating more business.

Customer Service: BA can help reduce the churn rate, maintain adequate staffing levels, and detect issues in the customer service process. Modern customers are accustomed to quick responses and effective solutions. It is possible to deliver the results that customers want, with the help of automation. Automated customer care systems can sort queries and offer initial responses to customers. The automated system can segregate queries into different categories, such as tech department, service department, and more. Sorting ensures the queries reach the right customer care agent for a quick resolution. There is no need for the customer’s call to be transferred from one executive to another. Customer service has several rules-based processes that can be automated and streamlined. According to research, over 70% to 80% of rules-based processes can be automated, and it is a good idea to start with customer service.

Market: analysis of consumer behavior in the short and long term (probabilistic models), supply and demand, price optimization, revenue maximization, and customer churn predictions.

Manufacturing and production: feasibility and optimization of resource allocation, decision making in scenarios of low and high uncertainty. Storage and distribution optimization. Simulations Decision Trees (risk strategy).

Human Resources: people analytics, employee performance, staffing cycle; hiring vs. internal mobility, career development, rotation, and desertion prediction.

Marketing effectiveness. Our Intellectum® framework has been able to highlight the processes and key reports that will show how to integrate metrics in different marketing disciplines:

• PPC/SEM: CTR & Budget optimization. A/B Test for ads relevance determination.
• Social Media: text sentiment analysis, reach, engagement optimization models.
• Marketing Analytics:  GPR’s – gross rating points, reach, frequency, OTS – opportunity to see, SOV – Share of Voice, SOI – Share of Investment, CPP/CPM – Cost per rating point.

CCAR (Comprehensive Capital Analysis & Review): consolidate all data generated from stress tests, use analytical techniques to understand and interpret the data, report results and reveal insights from the data. Client trade validation; identification of deviation from operations associated to certain clients. Identify risks in execution as well as impact in the portfolio.

Government: Finances, tax auditory, and collection (commercial, properties, and other taxes).

Ventas: pronósticos de la demanda, maximizacion de ingresos brutos, tendencias y estacionalidad (sector turismo). Optimización de paquetes de oferta.

Impuestos: hemos desarrollado una solución orientada a informes y auditoría de impuestos corporativos, sabemos lo difícil que es recopilar, consolidar, transformar y auditar datos relacionados con impuestos. Hemos podido reducir los requisitos manuales de estos procesos y producir informes consistentes y trazables listos para auditoría. MÁS INFORMACIÓN AQUÍ.

Mercado: análisis de comportamiento del consumidor a corto y largo plazo (modelos probabilísticos), oferta y demanda, optimización de precios, maximización de ingresos y minimización de la pérdida.

Manufactura y producción: plan de producción, viabilidad y optimización de la asignación de recursos, toma de decisiones en escenarios de baja y alta incertidumbre. Maximización de la rentabilidad. Optimización del almacenaje y distribución. Simulaciones. Arboles de Decisión (estrategia de riesgo).

Recursos Humanos: Analítica de personas, desempeño de los empleados, ciclo de staffing: contratación vs. movilidad interna y desarrollo de carrera, rotación y predicción de la deserción.

Marketing. Intellectum® ha sido capaz de destacar los procesos e informes claves que integran métricas en diferentes disciplinas de marketing:

• Publicidad online PPC/SEM: optimización de la relación de exposición de anuncios vs. clics (CTR). Determinación de anuncios de mayor impacto. Optimización del costo x clic, entre otros.
• Redes Sociales: análisis de sentimiento, modelos para optimizar  alcance y participación.
• Analítica de Marketing Tradicional – ATL (medios), BTL (activaciones de marca), GPR’s – puntos de rating, alcance, frecuencia, oportunidad de ver un anuncio (OTS), participación publicitaria (SOV, SOI), penetración, costo por punto de rating (CPP/CPM).

Análisis de Capitales – CCAR (Comprehensive Capital Analysis & Review). Consolidar todos los datos generados a partir de las pruebas de estrés, utilizar técnicas analíticas para comprender e interpretar datos, reporte de resultados y conocimiento de los datos. Soluciones para validación de comercio, identificación de desviaciones en operaciones asociadas a ciertos clientes, identificación de riesgos en la ejecución así como el impacto en la cartera de productos.

Gobierno. Finanzas, auditoría tributaria y cobranza (comerciales, bienes inmuebles y otros impuestos).