Data analytics finds trends and answers questions, providing a clear picture of where a company is, where it has been and where it should go.
Data analytics finds trends and answers questions, providing a clear picture of where a company is, where it has been and where it should go.
We at Atlantis Global Laboratories understand that data analytics finds trends and answers questions, and that by definition, it captures a broad scope.
However, it includes many tailor made systems specific to respective fields depending on the nature of clientele. It can thus carter for a variety of initiatives, providing a clear picture of where a company is, where it has been and where it should go.
With regard to Food Safety Management Systems, this process involves describing conventional trends, measuring traditional indicators such as ‘Positivity rate of salmonella tests’ with the aim of answering the question ‘What happened’ or ‘What has been happening’.
It thus describes outcomes to stakeholders by developing Key Performance Indicators (KPIs).
We at Atlantis Global Laboratories emphasize on the data analytics process because it also goes beyond and digs deeper into the cause of the findings from the descriptive analysis of the KPIs.
That is, the performance indicators are further investigated to discover why they got better or worse, enabling businesses to draw meaningful conclusions from complex and varied data sources.
The process further discovers trends and practice using the extracted data and makes predictions, determining whether the trends and practices identified are likely to recur.
This provision of new insights into the data answers the question of ‘What if’, and is very integral for the food value chain.
We finally offer Business Intelligence Services which refers to the procedural infrastructure that collects, stores and analyzes data produced by a company’s activities.
It compliments descriptive analysis and is synonymous with prescriptive analytics that helps answer questions about what should be done.
In practice, for instance, once we give an organization within the food value chain a comprehensive view of data gotten from periodic test results, we at Atlantis laboratories can use the same to drive change, eliminate inefficiencies and quickly adapt to regulatory and market expectations.
Players within the food value chain can thus make informed data-driven decisions in their endeavor to ensure the safety of the final consumer.