Business Process Technology

ERP system design and implementation:

Identifying specific workflows by job and function, process improvements to be implemented (perhaps even independently of the software), and roles and responsibilities within the new business processes to augment system design. While business processes requirements were likely defined during the evaluation phase, they might not take into account the functionality of the chosen software. This output can serve as the foundation to use the ERP system in producing key operational data to streamline processes.

Process mapping:

Assisting organizations in becoming more efficient through creation of business process maps which help identify improvement opportunities. Business process mapping measures and compares a specific objective alongside the entire organization's goals to aid alignment with enterprise values and capabilities.

Business intelligence & data analytics:

Managing data from disparate sources and converting it into consistent, actionable information that can drive competitive advantage and help functional areas to uniformly interact with each other when responding to organizational issues and opportunities. Enabling organizations to perform visual operational benchmarking, trend and data analysis, and predictive analysis on key data. This can provide deeper insight into operational processes and profiles which help in planning and forecasting as well as evaluating leading practices.

Business process reengineering:

Focusing on the analysis and design of workflows and business processes, business process reengineering helps organizations to fundamentally rethink how they do their work in order to improve products and services, manage operational costs, and enhance efficiencies. Deloitte helps companies restructure operations through ground-up design of business processes in relation to objectives and day-to-day work.

Robotic Process Automation (RPA):

Design, selection and implementation of software to manage information and automate the lower-value tasks, such as transaction processing and controls testing. As the repetitive tasks are automated, it increases the speed of delivery, eliminates errors, and reduces costs of data and compliance management. Further RPA implementations improve the availability of real-time information, facilitates management decisions, and increases the confidence in the company’s compliance position. RPA handles controls efficiently and establishes a rule-based platform for compliance regulations and standards. 

Back-end filling (tech functions):

Providing ad-hoc finance and accounting, technology, and/or HR support to strengthen existing infrastructures, foster ownership and accountability, and coordinate services and program administration.

Operational finance relocation:

Facilitating functional transition of finance operations to new locations including configuring and temporarily staffing of facilities, planning and executing infrastructure upgrades, documenting new processes and workflows, and training in-house personnel.