But classic predictive analytics solutions require:
Finance platforms allow any business specialist to model and automatically predict its key business performance indicators, using the knowledge included in your big data.
Predictive Layer IT & Software implementation can be deployed automatically at your convenience in a secured cloud-based service 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 mathematical expertise.
Crystal will automatically connect to the available exogenous data in your industry
or from adjacent influential sectors.
It will bring the learning from its historical track record and correlate it with the performance indicators of your business, at the same time and date.
To provide scalability, resilience, security, confidentiality and privacy, Crystal
platform can be operated in multiple existing IT & Software frameworks: 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 leverages its unique and innovative machine learning artificial intelligence to learn from all the available market data the relative influence of each participant in a B2B trading situation.
The user will be able to adopt these recommendations and pursue the development of a portfolio of assets on this basis.
Genius Retail leverages its unique and innovative machine learning artificial intelligence from retailers' Big Data sources and from external market & event trends and open data bases.
Based on these forecasts, the user can plan short-term resource allocation, purchase orders, inventory management & optimization to maximize the Return on Investment of the retail and supply chain activities.
The Predictive Layer platform automatically leverages its unique and innovative machine learning
artificial intelligence to learn from all the big data collected by the customer systems.
It classifies and understands the key user characteristics, and predicts the probability of these profiles to demonstrate a certain target behavior.
It will, for example, detect: