Industry Usecases

Industry: Sports

Solution:

• In the sports domain, We used Google data studio to improve team performance and player development. 
• We used AWS Glue and AWS Functions to analyze performance data, coaches can identify areas where players are excelling and where they need to improve. 
• We also used Make to optimize training programs and develop personalized training plans for individual players based on their strengths and weaknesses.

Technologies Used:

Google data studio, AWS glue, Make, Sql Server

Industry: Education

Solution:

•  In the education domain, We used Qliksense to improve student outcomes and reduce dropout rates. 
• We used Seeq for analyzing student performance data, educators can identify areas where students are struggling and provide targeted interventions to help them succeed. 
• We used Azure functions to identify factors that contribute to student dropout rates, such as attendance or engagement, and develop strategies to improve these areas.

Technologies Used:

SAP S/4, Qliksense, Seeq, Azure

Industry: Healthcare

Solution:

• Improve patient outcomes and reduce healthcare costs. 
• Used Alteryx as predictive analytics to identify patients who are at high risk of developing a particular disease, allowing healthcare providers to intervene early and prevent the disease from developing. 
• We used Tableau to identify inefficiencies in the healthcare system, such as long wait times, and improve the patient experience.

Technologies Used:

Tableau, Alteryx Designer, Alteryx Sever

Industry: Finance

Solution:

• In the finance domain, we used Domo to identify patterns in financial data and make more informed investment decisions. 
• We used Domo for historical market trends and economic indicators, financial analysts can make predictions about future market movements and adjust investment strategies accordingly. 
• Domo was used to detect fraudulent activity and prevent financial crimes.

Technologies Used:

Domo, SAP Business One

Industry: Manufacturing

Solution:

• In the manufacturing domain, we used to Azure Data Factory improve efficiency and reduce costs in data management and refresh. 
• We  created python models that helped analyze the production data, manufacturers can identify areas of the production process that are inefficient and make improvements to increase productivity.
• We used Tableau to optimize supply chain management, reducing lead times and ensuring that raw materials and finished products are in the right place at the right time

Technologies Used:

Oracle EBS, Tableau, Azure Data Factory

Industry: Retail

Solution:

• In the retail domain, we used Tableau to improve customer experience and increase sales. 
• We used cohort and ABC analsis on customer data, So retailers can identify patterns in customer behavior and develop personalized marketing campaigns and promotions to increase customer engagement and loyalty.
• We used Tableau to optimize inventory management and supply chain operations, reducing costs and improving efficiency

Technologies Used:

Oracle Fusion, Tableau, POS