Automating routine processes can free up human capacity for higher-value activities. Additionally, more complex processes can be automated, helping to identify risks and opportunities impacting the value of the business. The spectrum of accounting automation spans from routine activities, or “Purpose-built Automation,” to non-routine areas that require cognitive capability, such as “intelligent automation.” A broad approach to accounting automation can cover this spectrum end-to-end.

Leading companies create a competitive advantage by developing the ability to efficiently and effectively turn data into information. Harnessing big data to create value typically requires strategy, discipline, and the right tools. AIS applies sophisticated and demonstrated techniques to harmonize financial data, producing information that can drive effective and timely decision-making. A finance organization that embraces AIS can be better positioned to serve as a value-added business partner.

Learn more: Atom™–Financial Data Management and Mapping Service | Deloitte US

In today's highly competitive business environment, companies need more from controllership than accurate financial statements and reports. For example, controllership providing forward-looking, predictive, prescriptive insights can help shape tomorrow's business strategy and improve day-to-day decision-making. Analytics and insights can help improve organizational intelligence by uncovering and harnessing insights hidden in financial data. This includes risk sensing, continuous monitoring, cost/profitability analysis, visualization, mobile notifications, and external data.

Analytics and insights tackle specific business issues around:

• Limited visibility and transparency into data
• Lack of insights into specific finance and accounting information
• Lack of reporting or challenges with current reporting aggregation