The adoption of the Financial Shared Services Centre has revolutionised the strategic role of the finance function in global corporations by delivering greater value to other functions and processes through its analytics and decision-making capabilities. Such centres have evolved to not only focus on traditional tasks, such as costs reduction but also enhance organisations’ effectiveness and efficiency in many ways.
They can help forecast customer needs and market demand more accurately and reliably, improve the bottom line by driving down costs, and facilitate cross-functional integration. Business units can, therefore, focus on their core value-creation processes.
Read more:Third-Party Risk Accounts for 59% of Insurance Data Breaches. Why?
In order to do so, financial shared services centres require specialised skill sets and the right finance talent. On top on that, they need to be able to harness the power of technology. Most notably, analytics tools are now a key enabler of financial shared services centres’ success.
Challenges at Honeywell’s Global Finance Centre
Preetham Shanbhag, Honeywell’s senior director, financial planning & analysis, revealed in an interview how the company’s global finance centre has benefited greatly from advanced analytics software.
Honeywell is a US-based Fortune 100 company that provides a wide variety of products and services, from home appliances to aerospace or industrial systems. Its revenue and global workforce in 2015 are US$38.6 billion and 129,000, respectively.
The company’s global finance centre is located in Bangalore, India. It provides financial services to the entire Honeywell’s global operations, which span around 100 countries and 14 strategic business units (SBUs). In essence, it is the financial planning and analytics powerhouse for this multibillion-dollar business.
The centre understandably has to deal with a tremendous amount of data. Honeywell’s vast technology landscape comprises more than 150 ERP systems from different vendors – SAP, Oracle, Navision, to JD Edwards, etc.
Read more:From Data Overload to Pivotal Action: How OLAP Powers Smarter Decisions Across Industries
Just pulling data from these systems is already a daunting task. It takes the staff a great deal of time to manually extract the data before they can analyse it. The challenge is twofold. Not only do they have to analyse a lot of data, but they also have to make sure their reports are timely and easy to understand. Honeywell’s business units, the centre’s internal customers, rely on those reports to make actionable decisions.
The solutions and outcomes
Traditionally, they utilised a combination of Excel spreadsheets and traditional Business Intelligence (BI) tools, which was very time-consuming. Insights could take months to be developed, and at the point became somewhat irrelevant.
The decision to adopt BI tools has helped reduce those lead times to just a few hours. Unlike other traditional business intelligence & analytics software, modern BI software is designed for business users, with a strong emphasis on self-service capabilities and ease of use.
Read more:The Use of Spreadsheets and Modern Cloud Adoption in Businesses
The level of BI’s automation and standardisation has helped the company’s global finance centre generate 10,000 to 20,000 man-hours in terms of increased productivity. More importantly, the centre’s internal customers now have access to timelier and easier-to-understand reports that can create a significant business impact.




