In the digital age, finance business processes are shifting from batch to real-time, retrospective to predictive, and internally-focused to customer-centric. Innovative companies can drive growth by focusing on the revenue stream from an outside-in perspective. Learn more from OpenText at http://www.opentext.com/campaigns/rundigital/digitize-business/sap-finance/sap-finance-wod
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Future of finance – EY perspective
Technology
Three technology innovations set to transform the finance function:
1. Advanced data analytics and forecasting
2. Robotic process automation
3. Cloud and software-as-a-service (SaaS)
People
► Building a smarter, more forward-looking and resilient finance function
► Challenging the assumptions about what constitutes finance talent
Where from here?
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The DNA of the CFO series
Part 1: Do you define your CFO role? Or does it define you?
The disruption of the CFO's DNA.
The CFO role is being reshaped by four forces: digital, data, volatile
risk and stakeholder scrutiny and regulation.
To meet these challenges, CFOs need to re-evaluate their own
competencies, and those of their team.
Visit ey.com/dnaofthecfo to learn more.
Part 2: Is the future of finance new technology or new people?
Preparing for the future finance function.
Technological innovation is providing an opportunity for CFOs to
transform their finance function into a fact-based decision center for
the whole organization. But as many traditional finance tasks are
automated, the profiles and skills of finance people will need to evolve.
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While automation and new technology will have a transformative effect on
finance functions, people will continue to play an essential, albeit different role.
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Three technology innovations set to transform
the finance function
Advanced data analytics and forecasting
1
Robotic process automation
2
Cloud and SaaS
3
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Advanced analytics capabilities will transform forecasting, risk
management, and management’s understanding of value drivers
EY asked CFOs if they could only focus on
one thing to improve Finance, what would it
be? The highest rated response was:
“Improving big data
and analytics
capabilities to transform
forecasting, risk management and
understanding of value drivers is a priority for
the finance function”
Improve ability
To predict
outcomes
Help CFO’s
better understand
the financial
impact of strategic
and operational
decisions
Provide better
and faster
Information
To key
stakeholders
Finance functions are mastering the processing of large amounts of data, keeping
track of new types of data and incorporating them into their models as they emerge.
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Robotics process automation (RPA) will drive evolution in how
finance is delivered
65%
Standardizing and
automating processes
and building agility and
quality into processes
Combining state-of-the-
art technology with
process improvement
58%
Respondents emphasized the importance of RPA technology as a significant priority for the
finance function:
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RPA executes processes as humans do, at a significantly lower
cost
RPA People
People build relationships, provide subjective
judgement, deliver low-frequency and
exception tasks, and manage change and
improvement
► Resolve discrepancies
► Approve invoices for payment
► Manage working capital
Robots deliver repetitive, deterministic, high-
volume tasks efficiently
► Vendor master data management
► Process invoices and payments
► Duplicate invoice check
► Invoice/PO matching
Finance
Process:
Accounts
Payable
An effective deployment plays to both robotic and human strengths:
How does Robotic Process Automation (RPA) work?
RPA uses software to execute
business processes in a
repetitive, audited and controlled
manner
It orchestrates existing legacy
applications for transaction
processing, data manipulation,
response triggering and
communication
It does all of this with very limited
human participation
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Cloud and SaaS technology drives analysis, reduces costs,
provides greater flexibility, improves disaster recovery
Cloud and SaaS
value to the finance function
Enhance decision making
capabilities
► Drives analysis and decision-making by
enabling disparate teams to more
seamlessly access and analyze the
same information
Reduce costs
► Eliminates costly capital and operational
expense associated with hosting and
maintaining traditional information
systems
Provide greater flexibility
► Supports flexibility in provisioning of
new technologies
► Improves disaster recovery as back-up
solutions can be accessed remotely
Cloud services provide the capacity for finance to access ERP and other systems on the web,
rather than through physical servers.
While Cloud and SaaS provide significant opportunities to
improve performance, they will need to be weighed against the need to conform to
out of the box processes and the loss of control over which and when new
functionality will be rolled out to the business
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Priority one: A smarter, more forward-looking, better aligned, more
resilient operating model
Future
operating
model
Smarter
Better aligned to the business
► All transactional finance processes will be fully
automated in outsourced or captive finance factories.
► Transactional information will be available sooner and
will be more accurate
► Finance professionals will spend more time working
alongside key internal stakeholders, challenging their
strategic plans and modeling and predicting different
scenarios.
More forward-looking
More resilient
► The future finance function will combine finance data with
external information to help model and predict business
outcomes, identifying the most profitable opportunities
► The future finance function will be more focused on
managing uncertainty through strategic risk management.
► It will use predictive analytics to investigate the implications
of strategic decisions, to plan for possible shocks, and to
manage the growing threat of cyber risk.
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Priority two: challenging the assumptions about what
constitutes finance talent
Rethinking what
constitutes
finance talent
Look beyond
traditional
financial
analysis skills
Develop better
finance business
partners
Find digital
finance talent
Use alliances to
go beyond what
your organization
can deliver alone
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What’s next for the Finance Function?
A clear vision for the future
finance function, which:
► Is aligned with the
organization’s overall
purpose and business
strategy,
► gives finance team
members around the world
a common ambition,
► provides focus for efforts
and investment decisions.
A bold technology strategy
for the finance function
which builds systems and
tools that enable disparate
teams to share information
and make connected, data-
driven decisions.
Invest in developing new
skill sets and attracting new
profiles by:
► finding or developing the
new skills and capabilities
required to exploit new
technologies and increasing
volumes of data,
► building their people’s softer
skills, such as their
communication and
influencing skills
1. Define a vision 2. Rethink technology 3. Invest in people
15. Imperatives for future Finance Operations
Flexible Cloud
Deployment
Inter-
operability
Embrace
Digital Technology
Governance
& Compliance
360° view &
access
Digitize
Financial Processes
Seamless
Information
Flow
360
Digital
Workplace
Value add
focused
Business Centric
Services
Re-Imagine
Service Delivery
Customer
Satisfaction
16. Integrate the moving parts
When using CRM, billing and planning systems
• Avoid content silos
• Deliver analytical insight across application
boundaries
• Simplify access with minimal training
• Provide self-service capabilities
Digital
Workplace
Seamless
Information
Flow
360° view &
access
360
Forecasts &
hidden relation-
ships
17. Integrate the moving parts
Content sharing with customers is the norm
rather than the exception:
• Documentation received from suppliers
or subcontractors
• Quality inspections
• Proofs of service/delivery
• Expenses for recharge
Information-Fueled
Business Processes
19. How to act fast and accurate and compliant
Replace transactional work with
agile processes
• Optimize and automate:
• Eliminate manual steps
• Leverage a shared service
organization
• Measure results
• Trust built-in compliance:
• Segregation of duties
• Contextual intelligence
Order to Cash
Procure to Pay
Record to Report
20. Example: Top five value drivers for optimizing
invoice-to-pay
Value Driver Baseline Improvement %
Estimated Benefit
(Annual)
Assumptions and Benefit Rationale
Reduce Accounts Payable invoice processing costs
related to invoice routing, exception handling, and
duplicate invoices
$1,799K 36.5% - 63% $602K - $1,039K
Based on previous studies 40-60% of AP
spend is related to invoice processing
Reduce missed early payment discount rate $1,514K 40% - 50% $555K - $694K
ADP estimates that average early payment
discounts are in the range between 1.6% -
2% of invoice value
Reduce payment processing costs for approvers $1,982K 30% - 40% $548K - $731K
Based on previous studies it takes 15
minutes on average to approve an invoice
Reduce cost of data entry for paper invoices $1,439K 41% - 62% $541K - $818K
Based on previous studies 30-50% of AP
spend is related to invoice entry
Increase additional discounts due to improved
vendor relations
$5,311K 10% - 20% $446K - $892K
Paystream estimates that 66% of companies
are offered discounts on approximately 5%
of their invoices
TOTAL - Client $2,692K - $4,174K
New and more effective revenue models require very flexible systems. Selecting the right ones is not an easy task and sometimes overlooks important aspects:
Many solutions include an integrated content repository to store relevant supporting documentation. Which is good. It however makes life complex for users in a different department (in this case Finance) if they don’t have access to the CRM system. The same applies vice-versa: A sales rep who cis not aware of an ongoing dispute regarding a billing will be surprised during his next conversation with the customer.
Customer insights are most valuable when combining data across the full product lifecycle: From cost of sales to revenue to profitability; To analyze lost opportunities and convert them into a new opportunity at a later stage, and many more
Users need insight into the customer situation in the right context: It must be simple and should not require switching to a different application.
And even more general: All business partners and internal stakeholders love self-service access: To track orders, planned deliveries, payments made and disputes; to create dashboards and analysis to better manage their business,
And there is more to consider: Customers expect transparency; This implies that you need to share quite a lot of information during the order – to – cash process:
Any component that’s sourced at 3rd parties comes with manuals, warranties etc. that need to be handed over to the end customer
Quality inspection protocols are key in many industries
Proofs of service or delivery included during invoicing reduce the risk of billing disputes
And whenever expenses are recharged to the end customer (like flight costs or rental equipment) customers love to see a copy of the original invoice.
Content sharing is not a one-time activity: It’s ongoing and needs to support multiple channels: A customer facing portal, an email, fax or as EDI message
I mentioned the importance of self-service access and the ability to share one current version as the single source of the truth adds huge value to both the customer and supplier.
You don’t want to collect the content required to share individually.
We at OpenText call these types of processes “Information-fueled business processes”. It is an well-oiled machine generating trust, customer retention and recurring revenues.
Let’s look at a typical example
This slide shows a quite common situation: Corporates using a set of proven, best-of-breed applications to manage marketing campaigns and the resulting opportunities in salesforce.com, sales order, fulfillment, billing and revenue recognition in SAP; Primavera for engineering and a legacy system for subsequent service and support activities.
To add complexity, the company also needs to order raw material and service for some components.
Documentation is copied to SharePoint
All stakeholders need to have a combined view on relevant documents, project and financial information: Have down payments been received; which confirmations have been made during RFx and final contract; Are subscription and maintenance fees paid?
Collection activities are much more successful if finance knows that all acceptance tests have been passed and signed off. And service specialists will avoid risk if they are aware of delays in payment.
Last not least, marketing and product specialists are keen to use profitability details to optimize their customer experience.
Without proper integration a lot of manual copying and data entry activities cause inefficiencies and risks.
This leads me to the most important aspect: How to act fast and accurate and compliant. Many employees perceive these as mutual exclusive.
Which they are if you do not apply digital transformation.
Digital allows to replace transactional work with agile and connected processes. Eliminating transactional thinking makes it easier to optimize the process. Arguments like “I can’t post this if I don’t know X” are no longer valid since a process would try to gather X from the right specialist and let the accountant check everything else in parallel.
Data that is already known from an adjacent system (e.g. CRM) does not need to be entered again; Anything a user can do by just copying/interpreting information can be automated. This alone saves a lot of working time.
Digital also allows to benefit from shared services organizations and economy of scale: This reduces training efforts and dramatically reduces cycle times since SSOs work around the clock.
Any optimization needs to be validated and further improved. Agile processes are easy to adapt – this is specifically important for process owners. Analytics allow to estimate the impact of process changes based on information collected.
Acting fast and accurate is possible in the digital age. But compliance is a different beast.
First of all the process serves as a guard rail. Aspects like segregation of duties are part of the process DNA. But there is an aspect that really adds a lot of complexity to all processes when not properly designed: The huge set of regional regulations that multi national organizations need to know, to incorporate and to cope with.
It’s not uncommon that process standardization initiatives completely fail once a roll-out to a country with complex legislation is scheduled. The contextual intelligence is key to cope with these challenges: Aspects like sending and receiving countries, incoterms and shipment details are available in the respective systems and the basis for special handling. An ideal agile process allows simple to configure variations to reflect the specific compliance rules.
This would be a session on its own …
A nice read about contextual intelligence: https://hbr.org/2014/09/contextual-intelligence
Let’s look into the value drivers for a specific sub process that is typically the first one undergoing digital transformation: Invoice to pay
In this example our value engineers worked with a manufacturing company to identify
the cost for invoice processing,
the impact of missed early payment discounts,
The costs associated with invoice approvals
Data entry for paper invoices
The potential for additional discounts thanks to improved vendor relations and predictive payment behavior.
The result is impressive in this case.
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An example calculation for a manufacturing customer with annual revenue of $510 million processing 500,000 invoices annually.
Total AP spend 0.7% of revenue (40% data entry, 50% is invoice processing);