Data gives the power to see unearth hidden insights. There is an opportunity at every point of business, and the financial industry is a great example. Every financial transaction, every customer interaction, and every part of the supply chain contributes to data insights. Moreover, financial data analytics provides the potential to process data instantly, convert
Cloud migration in banks pose multiple challenges in risk management. CROs should plan in terms of resource investments and satisfying future requirements. Risk management systems, core banking application and processes are all inter-connected. Thus, moving the risk systems to the cloud has its own effects on other banking systems. Consequently, the other applications may need
High performance computing was a tough task for many organizations. Now, that is no longer the case with the cloud. The move from owned systems to cloud-based computing gives users access to high computing power and storage. The cloud enables businesses to process vast amounts of data, run advanced analytics methods, and adopt flexible technology
There are different analytics methods and techniques that data analysts use depending on the type of data in question and the kinds of insights they want to uncover. The first six analytics methods are applicable in case of quantitative data, while the last method applies to qualitative data. 1. Regression analytics Analysts use regression analytics
Organizations use data analytics to discover, interpret and predict data patterns. They use analytics to gain insights and support decision-making. For this purpose, different forms of analytics are used in different industries, and the healthcare industry is one among them. Here is an article on how healthcare data analytics is changing the industry. 1) Eliminating
Business dashboard provides instant insights by showcasing the key performance indicators (KPIs) in an elegant way. It is user-friendly data tool to aid business decision making. Here is an article on the best practices to build a successful data dashboard. First, understand the different types of data dashboards before designing the dashboard. The three types
Data integration is a common operation in every IT organization, and there are thousands of service providers to build an integration solution. But, have you wondered what you should know before choosing data integration services? Do you know what mandatory characteristics that the solution should have? Here is a quick checklist to verify if you are going to