The name of the base system (platform): | SAP Leonardo |
Developers: | Deloitte Consulting |
Branches: | Financial services, investments and audit |
The Reimagine platform of Deloitte is a result of cooperation of Deloitte and SAP in the field of innovations and new solutions based on SAP Leonardo, including solutions in the field of machine learning, Internet of Things, expanded analytics, Big Data, a blockchain and solutions on SAP Cloud Platform connected with a digital core
Solutions on the Reimagine platform help the organizations with the following areas:
- Process automation
- Cardinal improvements in use of data for decision making
- Significant increase in enterprise performance
Solutions Deloitte Reimagine for finance
- Lights Out Finance. Accounting without people. With solutions of the Accounting without People direction ('Lights Out' Finance) you will be able to lower labor costs, to increase efficiency and to increase the accuracy of transactions by process automation based on algorithms of machine learning. For example, instruments of machine learning can help to transform process of analysis of the bank statement by 'reading' of historical information on how similar scenarios understood the past. Similar approaches are used for the analysis of trends concerning incoming payments and to predict a payment customer behavior.
- Cognitive Finance. Smart finance. The future - in implementation of the smart technologies helping financial institutions to react quickly to change of a situation in the organization and in the market. Solutions in the field of Smart Finance are based on providing access to the detailed data influencing KPI in real time and then processings of these data in the powerful predictive solutions capable to reveal trends and trends and to react quickly to change of a situation.
- Cognitive Controllership. Replacement of functions of controllers. Imagine the application which learns to understand what accounts should have zero balance, and then act quickly on the basis of the revealed data. Imagine solutions in which there is an analytics for error trapping and risks and the direction of notifications in real time to the controller person for error correction? The solutions replacing Financial Controllers in a complex with solutions of machine learning and artificial intelligence can help to automate many functions which are performed now by financial controllers. At the expense of it you will allow financial top executives to pay more attention to strategic decisions and creation of additional value.
Approach to project implementation
- Implementation of the ready-made solution takes about 3 months the client and includes the next stages:
- An evaluation stage – the analysis of the available data
- A stage of Extraction of data – unloading of data in the test systems. Depersonalization of data can be required.
- The analysis stage of data and setup of the solution – data are analyzed in the solution and the solution adapts to data of the client
- Data for 2 years are ideally necessary. In case of availability of data only for 1 year, the result can be not optimal.
- Commands up to 5-6 people can take part in development of each separate solution: 2 machine learning specialists (HANA PAL and standard libraries SAP for machine learning), 2 specialists in SAP of functionality, 1 programmer for implementation of extraction of data from business systems.
- It is necessary to define business of benefit at once and to work for their achievement
- Process of creation of the solution differs from setup of standard solutions in the fact that it is a way of tests and errors