Data analytics (DA) is the process of examining data sets so as to draw inference about the information they contain, increasingly with the aid of specialized systems and software. Depending on the particular application, the data which is analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a both- internal systems and external data sources.
Intelligent use of data can drive insight into business processes, the workforce, supply chain management, and customer behavior. Risk, compliance, and internal audit teams can transform their practice using data analysis techniques to provide creative solutions for compliance issues, fraud, and control breakdowns.
We offer a wide range of data services designed to ensure your data is complete and accurate, as well as advanced analytics to help you derive the greatest value from your data. Our team of analytics experts can tailor services to meet your individual needs.
As companies are increasingly forced to expand their digital footprints, there lies a huge opportunity for marketers to use customer analytics to generate superior consumer insights previously unavailable to their traditional counterparts.
Risk analytics and management is crucial to the long term success and sustainability of businesses. Organizations in the past have relied heavily on the opinions of leaders at the business unit level to monitor, assess report and mitigate risk. However it is virtually impossible for a person to have an enterprise level view of risk spanning across different departments within the business. This is where risk analytics and fraud analytics play a vital role. It brings together many strands of risk across the organization under a single umbrella enabling better understanding and management of risk.
- Document current processes
- Identify areas for improvement
- Design new process required to achieve improvements
- Plan implementation of process changes and training for appropriate individuals
- Implement new processes
- Monitor new processes to ensure desired results are achieved
We expertise in advanced analytics which is backed by strong capabilities in data engineering for both traditional and big data needs. Whether it is fetching and managing data, or building and integrating analytics solutions, our engineers are familiar with state-of-the-art technologies, and customize the solution per client needs and constraints.
We have worked on a variety of fields of web mining, ranging from fetching the data using APIs to scrubbing. With our expertise in both- large scale data processing and natural language processing algorithms, we have analyzed large volumes of unstructured data providing real-time insights to businesses.
The traditional RDBMS solutions like MySQL or MS SQL Server are efficient in some cases but some situations warrant a NoSQL data management solution. Our big data architects have designed and implemented Hadoop systems, including MapReduce, Hive, and Pig. We have executed scalable machine learning projects in a big data environment using open source technologies.