Every organisation in today’s world faces the challenge of data analysis. More often than not, the problem lies not in obtaining enough data for analysis, but in interpreting the excessive, stratospheric data that organisations have. At CodeBoard, this raw and inutile data is transformed into analysed, insightful information in order to aide the organisations in their critical decision making process. The outcome of these evaluated and informed decisions is more serviceable and efficient as compared to decisions which are not abetted by data analysis.
To extract useful information from a variety of data types, big data analysis is employed by us. The solutions are tailor made to suit specific domains. After data curation, homegrown big data analysis techniques are appropriated to obtain apprized results. Predicting outcomes, establishing relationships and finding dependencies are some of the aspects of the analysis. Various machine learning and natural language processing algorithms are conjoined in order to perfect the best data analysis technique relevant to each customer’s problem statement.