Turbodata
is looking to increase predictability and derisking for the end clients.
However the costs of deployment and the time to deploy of various predictive
analytic solutions is very high as indicated in the current diagram. Turbodata intends to lower the cost of ownership by reducing
the costs and time of deployment and enabling easy to understand solutions for the end client.
In the attached video, the ETL team
has shown why and show is its system able to offer high end predictive analytics with quickness and ease at lower costs.
The
ETL team has further developed the product to include advanced dashboards using Microsoft PowerBI.
https://www.youtube.com/watch?v=PQfsfWLkaP8&feature=youtu.be
A more detailed predictive analytics demo for retail sales is as follows:
https://www.youtube.com/watch?v=7DoZDBay-bQ
The ETL team has used ARIMA analysis and Market basket analysis
to help the end client optimize its inventory and increase sales of slow moving items based on historical analysis of inventory turnover ratios.
What is predictive analytics(published with permission of Tenfold):
https://www.tenfold.com/what-is/predictive-analytics-definition
Other Links:
Facebook Page: Inventory
Blog
Linkedin Page
Retail_analytics_ppt
