Our plan includes working with you to understand your business objective and what data requirements and metrics needed for your project. Also, understanding the collection process of data from different sources of your organisation (e.g., API, Local Database etc.). Here raw data is collected and passed through the Pre-processing and data selection stages. This is where data is cleaned e.g., missing values, data filtering, data aggregation, data querying etc., then passed the data exploration analysis and data visualisation process. We then pass this data through models and algorithms, evaluation and Deployment before decision making monitoring stage. This is a summary of a comprehensive process to meet your needs.
01. BUSINESS PROBLEM
You have massive raw data in your data warehouse or cloud, and you need it processed and analysed so that you know the value of your data. The constraint is how do you turn your collected data into decision making information? How do we use data provided or collected to provide or generate business insights for your business?
How do you motivate your audience to interact effectively with your service and product? A business case could be recommendation engine build to analyse historical movies views for your cinema audience in order to predict the movies that appeals to them
02. BUSINESS SOLUTION
Our solution includes offering personalised recommendations and reports to help build relationships and trustworthiness for the business. Machine learning is widely used in most cases. We provide a comprehensive approach to the business processes we use. We collect, identify and prepare data for processing. We carry out some exploration data analysis and data visualisation, so we understand (among others) the correlation in the data. We perform some modelling on the data using feature selection, machine learning, model optimisation etc. Therefore, by extracting and categorising data in order to identify and analyse patterns in the data will add new business insights to your business.
03. BUSINESS OUTCOME
Our solution includes offering personalised recommendations and reports to help build relationships and trustworthiness for the business. Machine learning is widely used in most cases. We provide a comprehensive approach to the business processes we use. We collect, identify and prepare data for processing. We carry out some exploration data analysis and data visualisation, so we understand (among others) the correlation in the data. We perform some modelling on the data using feature selection, machine learning, model optimisation etc. Therefore, by extracting and categorising data in order to identify and analyse patterns in the data will add new business insights to your business.
