Tenthpin's solution can ingest several various data sets, which can include internal, external, structured, and unstructured data, which are relevant for fulfilling the needs of this Business Use Case.
We have been using the coding language Python with its libraries for purposes like data cleansing and data harmonization. Alternatively other statistical coding languages like R can be used for achieving same outcomes.
Natural Language Processing (NLP)
Headmost, Natural Language processing also known as NLP, the technology has been optimally used by using one of the concepts of NLP called Text Summarization. Long CSV files presented in unreadable format have been extracted and presented in a way like reading this article. As this article gives you a brief idea and a clear point-to-point description of the solution similarly NLP does with CSV files. The output has been generated on a browser with filters for better accessibility for the user. NLP summarizes clinical information. This increases production by speeding up the process thus allowing the user to read less data while still acquiring the most essential information and making well-informed decisions.
The next immediate technological advancement is that of Machine Learning which predicts, and forecasts values based on the historical data. The predicted values are available in the browser with various filters for customization. Predictive analytics suggests what could happen in response to changes to the business in the Clinical Trial Supply Chain, and prescriptive analytics can indicate how the business should react to these changes.
Data Cloud Solutions (e.g., Snowflake, SAP Data Warehouse Cloud)
Both the generated outputs present in the browser are then uploaded to Snowflake at the click of a button."Snowflake" is the database through which data will be imported to SAP Analytics Cloud for visualizations and analytics. Snowflake is an enterprise solution that provides Data gathering along with processing and computing.
As alternative SAP Data Warehouse Cloud can be considered. It statically maximizes the value gained by SAP data (for better analysis and decisions). It can also act as a platform where both corporate and external data can be combined for a virtualized space.
SAP Analytics Cloud
Analytical and Planning Tool - SAP Analytics Cloud was chosen for displaying various visualizations of the data and covering key KPIs within the Clinical Trials process. In an additional app the tracking of the shipment is using the predictive data and adds glitters to the solution. The Dashboard created is customizable and can be used depending on the individual needs.