What is GETRON ADVISOR
Looking to demystify your data? Just ask Advisor.
Perfection requires the ability to make improvements. To make improvements, you must have the best tools to analyze the data at your disposal, as well as the ability to act on that analysis. Keeping a watchful eye on your company’s inventory, working capital and lagging & leading KPIs, Advisor assesses the big picture and predicts which decisions you should take to yield the best results. Unlike conventional systems, Getron Advisor is in constant contact with your data and can translate trend lines into action.
The Technology Behind Getron Advisor
GAD is able to manage huge amount of data and several customer requests simultaneously thanks to its two core component developed by Getron.
Getron Process Management Engine – GPME is a predictive process manager service which has been developed to automate all Advisor work flows on cloud platforms. GPME is responsible to orchestrate all ETL and computing Advisor work flows. It manages all customer tasks by calculating required cloud resources based on work load predictions. According to this calculations and process management orchestration, Getron Advisor could be easily scaled to customer requirements automatically.
Getron TimeSeriesDB – GTSDB is an in-memory layer runs on database engines to store data in Advisor Data Structure – ADS (a unique data structure format developed by Getron) format and as a time series data. With ADS, Getron Advisor has privilege to use time series data natively for its computational intelligence, data quality and machine learning algorithms.
Thanks to GTSDB and ADS, 3. Party raw data is transformed to smart data and stored very compactly. GTSDB has also built in Azure SQL Services support.
The Intelligence Behind Getron Advisor
Parallel to the development in technology, companies started gathering more data about their customers, and employees. So, the access to big data has changed the game for small and large businesses alike. Nowadays, companies can access specific information about employees and customers, helping fine tune marketing and sales, and drive increased ROI. As a result, better data analysis enables companies to optimize everything in the value chain from sales to order delivery, to optimal store hours.
For precise recommendations, Getron advises uses the benefits of machine learning, computational intelligence and artificial intelligence algorithms. In addition to conventional Descriptive Analytics, which use data aggregation and data mining techniques to provide insight into the past and answer “What has happened?”, and Diagnostic Analytics used for discovery or to determine “why something happened?”, Getron Advisor utilizes the advanced analytics, which are Predictive and Prescriptive, is mandatory.
Predictive Analytics, which use statistical models and forecasts techniques to understand the future and answer: “What could happen?”. Prescriptive Analytics, which use optimization and simulation algorithms to advice on possible outcomes and answer: “What should we do?”
Predictive analytics are about understanding the future, so it provides companies with actionable insights based on data. Predictive analytics can be used throughout the organization, from forecasting customer behavior and purchasing patterns to identifying trends in sales activities. They also help forecast demand for inputs from the supply chain, operations and inventory.