Business Analytics & Big Data

Business Analytics (BA) converts raw data into real knowledge using different techniques, methodologies and tools that allow end users have access to and analyze information in a timely, reliable and understandable way to make well-informed decisions.

Our projects benefit from the experience obtained from other industries, to generate predefined business models that reduce implementation time and costs.

These technologies are highly portable and scalable, easily adaptable to the changing realities of Latin America. They provide decision makers with immediate and safe information about all aspects of management, including Sales, Customer Management, Purchasing, Marketing, Production, Human Resources and Accounting.


Our purpose is to help organizations grow smarter, transforming DATA into RELIABLE INFORMATION so that they become more COMPETITIVE. Our strategy resorts to BUSINESS SOLUTIONS and applies INNOVATION to everything we do.

BA vision includes:  Risk and fulfillment, Planning, Research, Strategic Management, Predictive Models, Business Intelligence and Big Data.

Business Intelligence

Nowadays, information is considered a factor of production, of utmost importance for decision-making. Business processes that used to take days now take seconds and generate an enormous volume of data. 
Statistics shows that the amount of data doubles in the world each year, but strikingly conversely, the amount of information decreases rapidly. As a result, information has become "the currency of the new economy."Success is closely linked to knowledge and speed of information and action.
Companies need shorter decision-making processes to respond to the market, to improve return on investment.
BI is an end-to-end solution that allows you to migrate (extract, transform, collect and display) your operational data to an operating environment, at an efficient cost. There, data is accessed and analyzed throughout the organization in the format and time that each user needs and with the corresponding safety standards.

Master Data Management

The emphasis on compliance with laws and regulations together with a strong interest in service-oriented architecture (SOA), on the one hand, and the increasing number of mergers and acquisitions among organizations, have raised the need to create and maintain a complete and accurate record of the primary institutions of our company. Master Data Management (MDM) is the are where a business and the IT team work together to ensure standardization, accuracy, accountability, semantics and accounting consistency of master data shared by multiple applications in an organization. 
MDM ensures a single (physical or virtual) repository of consistent quality master data that is accessed to by several applications of the company and provides a 360°panorama.
We should note that MDM is essential to create and maintain quality master data, and, therefore, data quality processes must be executed to ensure such consistency.
MDM is one of the services that Quanam gives to implement effective Data Governance platform. Other services offered for that purpose are: 
Data Architecture Support
Data Quality
Metadata management


Las organizaciones conviven en un entorno económico cambiante con alto grado de incertidumbre. Aquellas que no estén preparadas para el cambio, que no sean dinámicas, no podrán mantener ventajas competitivas perdurables. Contar con una buena planificación, flexible y confiable es imprescindible para responder de forma eficiente a estos cambios. Quanam brinda, a través de un equipo especializado en proyectos de planificación financiera, el conocimiento y las herramientas necesarias para lograr transformar la Planificación de su negocio en una herramienta útil para la toma de decisiones. 
Quanam proposes a Technological Partner relationship to add value and to transform our customers’ planning processes. The following improvements are also achieved:

There is more time for analysis and it takes less time to gather information for projections and collaborative projects, making cycles shorter.
Timely decisions are made based on reliable information.
The analysis capability is expanded using analytical reports (diversions, traffic, alerts, dashboards with budget and actual information)

Strategic management

Strategic management is essential for the company to anticipate and respond to changes in the environment, that is, the market, competition, technology, culture. The formulation of the strategy must be based on the definition of what the company and its product-market (mission) will be. This definition will lead to the establishment of preliminary goals and constraints.
Strategic planning is a systematic process for plans’ development and implementation to achieve purposes and objectives. 
The Balanced Scorecard is an essential tool to implement the strategy, provides an overall direction to a company based on its business strategy, and has different approaches:  Financial, Customers’, Internal Processes (operational), and Learning and Growth. Each one of them has its strategic objectives, indicators, targets, and initiatives.
Strategic planning is crucial for organizations since its aims, goals and mechanisms summarize a company’s, guidelines. Its ultimate objective is to reach the targets, which can be appreciated in economic, human and technological growth.

Predictive Models

Traditional Business Intelligence has provided organizations with the powerful query and reporting tools.
Predictive analytics solutions go a step further, complementing this vision, and extending the capability of the most widespread business intelligence, providing the ability to establish future scenarios on a "what if ..." analysis.

The ability to anticipate market performance is the fundamental characteristic of competitive advantage. To this end, from our experience, it is crucial to have tools to perform statistical analysis to elaborate predictive, descriptive and optimizing modeling.

Risk and Compliance

Las soluciones de Gobierno, Riesgo y Cumplimiento (GRC - Governance, Risk and Compliance) permiten a las empresas tomar decisiones teniendo en cuenta sus riesgos operativos, a nivel corporativo (Enterprise Risk Management - ERM), aplicando metodologías y sistemas de gestión de riesgos inteligentes, impulsando el rendimiento del negocio y mejorando los resultados. Las soluciones de ERM cuentan con una fuerte componente analítica y de gestión que permiten:
Mejorar la toma de decisiones mediante el desarrollo de una práctica de análisis de riesgos robusta, que permite contar con información de valor oportuna, que brinda mayor objetividad y transparencia al proceso
Incrementar el rendimiento del capital promoviendo decisiones respecto a cómo optimizar su asignación, considerando los riesgos, de forma de satisfacer los requerimientos normativos aplicables, como ser: Dodd-Frank, Basel II/III, Solvency II, etc.
Definir y controlar los riesgos en los procesos para reducir los costes asociados a la pérdida de crédito, imagen corporativa, continuidad de negocio y gestionar el riesgo operativo.
Reducir los costos asociados al cumplimiento normativo.
En constante movimiento, es importante para las organizaciones contar con una solución de gestión de riesgos que se adapte de forma eficiente a medida que las prácticas de gestión de riesgos, las demandas de los clientes y las normativas cambien.

Campaign Management

Effectively managing corporate marketing campaigns is now more than ever before a critical factor in corporate commercial success.
Speaking directly to each customer, understanding their needs and customizing our offers is key to marketing success.  Quanam solutions can reach thousands or millions of people with the right message. Design, execute and quickly and cost-effectively measure communication strategies driven by customers across all channels, online and offline.
Quanam solution unifies the management of design cycles and implementation of marketing campaigns, simplifying and optimizing segmentation processes, implementation, monitoring and analyzing each campaign; moreover it can operate autonomously or with a company’s CRM.

Big Data

Information grows in volume and variety at such speed that it poses companies critical challenges.

However, this super-abundance of information can also become an important asset for organizations that choose to thrive on it. 

Information, data and their sources increase every second. Furthermore, these data can be structured or unstructured, in motion or stored, internal or external to organizations, social network data, among others. Big Data houses valuable knowledge, which may transform a business. The most common difficulties associated with the management of these data volumes focus on its capture, storage, retrieval, sharing, analysis, and visualization.

Inteligencia Artificial

La era de las máquinas inteligentes será la más disruptiva en la historia de TI, según Gartner. Hoy en día tenemos computadoras que aprenden, que piensan, que interactúan con otras computadoras y que interactúan con humanos. Los tipos de tecnología analíticas han crecido en su madurez desde 1)Descriptiva, 2)De Diagnóstico, 3)Predictiva, 4)Prescriptiva, hasta llegar a la nueva era de 5)Cognitiva.
Quanam provides companies with cognitive computing for analysis. This supercomputer with artificial intelligence can answer questions asked by businesses in natural language.

Investigación y Fraude

Las soluciones para investigación y fraude proporcionan capacidades de análisis visual enriquecidas, que ayudan a convertir rápidamente complejos conjuntos de información dispar en inteligencia procesable de alta calidad. Esto ayuda a los analistas y otros involucrados a identificar, predecir, evitar e interrumpir actividades criminales, delictivas, terroristas o fraudulentas. 

Permiten a los usuarios recopilar información tanto estructurada como no estructurada, en un potente entorno de análisis visual, ayudando a los analistas a construir más rápidamente una única imagen de inteligencia cohesiva. Cuentan con un modelo de datos flexible y una amplia gama de herramientas de análisis visual diseñadas para ayudar a los usuarios a descubrir personas clave, conexiones, relaciones, eventos, patrones y tendencias. 
Para poder entender la naturaleza de una red delictiva, hay que hacer un análisis de vínculos, en el cual se procede a identificar a los individuos o miembros de una organización involucrados en el fraude. La complejidad de los cuadros mostrando dichas relaciones (visualización) crece a medida que se establecen vínculos entre individuos, empresas y cuentas. El hecho de poder visualizarlos permite a los usuarios o investigadores identificar áreas críticas y la mejor forma de asignar recursos. 
Este tipo de soluciones permiten identificar rápidamente patrones en datos, que de otra manera podrían pasar desapercibidos usando métodos analíticos individuales para analizar redes sociales, flujos de materia prima, registros telefónicos, registros financieros y más.

Analytical Accelerators

Throughout more than 25 years of experience implementing business analytics solutions for big business in Latin America, Quanam has developed their methodology of project implementation based on their experience and their technological partners.
We have developed business solutions on several verticals, called Vertical Analytic Accelerators, which enable rapid implementation, in phases, minimizing the risks of such projects, which cover, among other areas:
  • Quanam Financial DataWarehouse (banks, insurance, credit cards, savings and loan cooperatives)
  • Quanam Retail DataWarehouse (supermarkets and mass-market companies)
  • Quanam Telecommunication DataWarehouse (fixed and mobile telephony, data)
  • Quanam Health DataWarehouse (Social Medical Care, Laboratories, Ministry of Health)
  • Quanam Mining DataWarehouse (Mining companies)
  • Quanam Tax DataWarehouse (tax levy and collection offices).