But classic predictive analytics solutions require:
Finance platforms are allowing any business specialist to model and predict
automatically its key business performance indicators, using the knowledge included in your big
Predictive Layer IT & Software implementation can be deployed automatically at your convenience on a secured cloud based services or directly in your enterprise data center.
It uses artificial intelligence machine learning and a series of unique and innovative algorithms.
Your data scientists can focus on the true value chain of your business, without
requiring advanced math expertise.
Crystal will connect automatically to the available exogenous data of your sector
or from adjacent influential sectors.
It will bring the learning of its historical track record and correlate it with the performance indicator of your business, at the same time and date.
To provide scalability, resilience, security, confidentiality and privacy, Crystal
platform can be operated in multiple flexible IT & Software existing framework: in public cloud, in
hybrid secured cloud, on premises private cloud or classic data center.
The deployment and operations are automated and controlled via web services.
Genius finance leverage its unique and innovative machine learning artificial intelligence to learn from all the market data the relative influence each participant to a B2B trading.
The user will be able to adopt these recommendation and pursue the development of portfolio of assets on these basis.
Genius finance leverage its unique and innovative machine learning artificial intelligence to learn from Retailer Big Data sources and from external markets & event trends and open data base.
The user will use these forecasts to plan its short term allocation of resources, purchase orders, inventory management & optimization to maximize the Return on investment of its retail and supply chain activities.
The Predictive layer platform leverage automatically its unique and innovative machine learning
artificial intelligence to learn from all the big data collected by the customer system.
It classifies and understands the key characteristics of the users, and its predicts the probability of these profiles to demonstrate a certain target behavior.
It will for example detect: