Develop customizable Management Information Systems (MIS) focused on Social Protection programs that manage a large quantity of information. Develop modules for Cash Transfer, Conditional Cash Transfer, Linkages and Referrals, Single Registries programs. These modules are capable of integrating with other systems in order to obtain, validate, or deliver information.
Marketing has evolved from a creative process into a highly data-driven process. Marketing organizations use analytics to determine the outcomes of campaigns or efforts and to guide decisions for investment and consumer targeting. Demographic studies, customer segmentation, conjoint analysis and other techniques allow marketers to use large amounts of consumer purchase, survey and panel data to understand and communicate marketing strategy.
Predictive models in the banking industry are developed to bring certainty across the risk scores for individual customers. Credit scores are built to predict individual’s delinquency behaviour and widely used to evaluate the credit worthiness of each applicant. Furthermore, risk analyses are carried out in the scientific world and the insurance industry.
Marketing analytics can be used to create models to help understand, monitor, and predict customer behavior, such as likelihood to defect or predisposition to purchase. It can help managers quantify performance, make and optimize channel and mix decisions, understand the impact of a campaign on a sales list, and create many other types of insights.
Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.
BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.
Data Science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, data mining, and predictive analytics, similar to Knowledge Discovery in Databases (KDD).
Provide assistance for empowerment of IT knowledge in businesses. With this, customers are able to maintain, manage, and evolve their applications to cover new needs and business requirements so as to not rely on third parities for the maintenance of their systems.
Social Protection Programs
The creation of social protection programs such as cash transfers, conditional cash transfers, in-kind transfers, cash for work and national registries help to reduce poverty and vulnerability all over the world. They do not only prevent households going into poverty, but they improve economic growth.