What is data science?
Data Science is a field that encompasses anything related to data cleansing, preparation, modeling and analysis. Data Science is an umbrella term for techniques used when trying to extract insights and information from data. Daskin Data Science and Analytics has experience in advanced analytic techniques which include but not limited to data/text mining, machine learning, pattern matching, forecasting, visualisation, semantic analysis, sentiment analysis, network and cluster analysis, regression analysis, multivariate statistics, graph analysis, simulation, complex event processing and neural networks in any analytics platform of choice.
Advanced analytics
For Daskin Data Science and Analytics, data science is an interdisciplinary field of scientific methods, processes, algorithms, and systems to extract knowledge or insights from data and big data in various forms, either structured or unstructured. Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations.
Data management
For Daskin Data Science and Analytics, data management is the process of collecting, storing and using data securely and effectively. The objective of data management procedures is to provide evidenced based decision making options to create value for customers and the organisation.
A data management strategy addresses the activity of users and administrators, the capabilities of data management platforms and technologies, adhering to the regulatory requirements, and the needs of the organisation to generate value from its data. Customer data privacy and security and data policies are more important now than ever before in customer engagement and relationships.