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Emerging Technologies
The Future of Finance
Mike Sadler
February 2019
2
Mike Sadler, an Offering Manager for IBM, has worked in
the Enterprise Performance Management industry for
nearly 2 decades, helping customers worldwide understand
how
IBM Planning Analytics can reduce costs, improve
accuracy and drive performance by implementing proven
practices that deliver speed, agility and foresight.
With a lens on today's digital-savvy buyers, Mike is working
to deliver the frictionless discover-try-buy-adopt experience
that customers have come to expect.
www.linkedin.com/in/michael-k-sadler/
twitter.com/analytics_mike
Mike Sadler
Setting The Scene
Emerging Technologies - The Future Of Finance
4
The future of Finance and Accounting…
… is linked to the increasing pace of change brought about by technology. Much of what
has been done manually for 100’s of years has been eroded in the last century.
Alongside this was the growth of accounting
software and enterprise reporting systems
Now we see some significant enablers which
will further disrupt the mechanics of the
accounting profession.
5
New challenges are driving change
Performance
pressures and
acquisitions
Geopolitical
factor
Digital
disruption
Amazon is a very real example of the impact of digital
disruption on consumers and our clients in this sector,
increasing awareness at senior levels that “digital”
can be a sword that cuts both ways.
Many clients are experiencing political and social
pressure related to types and numbers of jobs
onshore. This at a time when performance pressure is
intense for senior leaders.
The impact of 3G Capital, Pershing Square, Carl Icahn
(and others) illustrates performance pressure facing
our clients. Lower growth is leading to increased
interest in “pay as you go” options.
Carl
Icahn
6
Why is this important?
Benefits
Reducing
Costs1 Better
Information2 Better
Outcomes3
Tangible benefits for your organisation
7
Why is this important?
Benefits
Tangible benefits for your YOU
The Challenges
Emerging Technologies - The Future Of Finance
9
The changing role of the CFO
The CFO mission to uncover the unknown
Applying analytics and cognitive computing for efficiency and insight
https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=GBE03781USEN&
Tempestuous times. Disruption of the status
quo. Huge turbulence. Industry convergence.
New competitors.
These trends highlighted in IBM’s latest C-suite
Study continue to challenge enterprises worldwide.
Over 80% of Finance teams expect to use analytics
to drive performance, manage risk/compliance and
optimize processes within two years
About half of Finance organizations plan to
implement cognitive computing within the next two
years and nearly two-thirds within five years
10
Many CFOs feel their organizations are not sufficiently ready for the
disruptive market trends of the cognitive era
Largest gaps between importance and effectiveness
Drive integration of information across enterprise
Develop talent in the finance organization
Identify and track new revenue growth
opportunities
Provide input into enterprise strategy
Optimize planning, budgeting and forecasting
75%47%
86%60%
63%38%
86%67%
81%62%
Effectiveness Importance
19%
gap
19%
gap
25%
gap
26%
gap
28%
gap
Source: IBM Redefining CFO Performance
11
Will pressurize companies to add more finance jobs
in market. Finance roles will continue to evolve
rapidly and skills shortages will increase
There are 5 key challenges Finance teams face:
Geo political reality and risk
mitigation1
For finance functions i.e. collections and credit
management.These functions will find it increasingly
difficult to attract/retain human talent
Transactions processing
standardization increases2
Trusted partnerships become a defining part of a
company’s ecosystem. All involved need to solve this
to make the ecosystem more efficient
Trust and Visibility3
Driving deeper insights from across all data sources,
(structured or unstructured) gives a competitive
advantage for companies
Deeper insights for Finance
Organizations will demand more, and the Finance
function needs to adjust, for the leap forward that
technology enables
Business outcomes5
4
Outlook
Emerging Technologies - The Future Of Finance
13
1. Blockchain will drive the complete re-invention of all finance processes and
and eliminate manual intervention in corporate owned ERPs and silo systems
Prediction for 2025: Finance megatrends
Finance Digital Reinvention – the new enablers
14
Business terms
embedded in transaction
database & executed with
transactions
Smart
contract
All parties agree to
network verified
transaction
Shared
ledger
Ensuring appropriate
visibility; transactions are
secure, authenticated &
verifiable
Permissions
Consensus
Append-only distributed
system of record shared
across business network
Blockchain for business reduces process friction
“What the internet did for communications…blockchain will do for trusted transactions.” – Ginny Rometty, IBM CEO
Saves
Time
Transaction
time from
days to near
instantaneous
Removes
Cost
Overheads
and cost
intermediaries
Reduces
Risk
Tampering,
fraud & cyber
crime
Blockchain for Accounts Payable
Leverages Hyperledger technology
to link ecosystem of buyers and
sellers and create Smart Contracts
to process transactions with one
version of the truth
15
1. Blockchain will drive the complete re-invention of all finance processes and
and eliminate manual intervention in corporate owned ERPs and silo systems
2. Robotic automation will be the norm, replacing most repetitive work in finance,
finance, which can be largely automated with cognitive technologies, like
Watson.
Prediction for 2025: Finance megatrends
Finance Digital Reinvention – the new enablers
16
Robotic Cognitive
Among the most effective Finance organizations, over 80 percent said it
will play an important role
Transformation through cognitive technologies
Programmed
Rule-based, logic-driven
and dependent on
organized information
Probabilistic
They learn systematically,
not dependent on rules,
and handle disparate and
varied data.
Watson Order to Cash Apps
Provides guided assistance, using
natural language processing and
next best action
recommendations, to offer
superior customer engagement,
enhance expertise and drive
improved working capital
Understand
Reason
Learn
Interact
Map
Model
Automate
17
1. Blockchain will drive the complete re-invention of all finance processes and
and eliminate manual intervention in corporate owned ERPs and silo systems
2. Robotic automation will be the norm, replacing most repetitive work in finance,
finance, which can be largely automated with cognitive technologies, like
Watson.
3. Transactional offshore delivery centres will decline and outsourcers will move
to a Finance as a Service commercial model as automated services replace the
people based delivery model
4. Data will increasingly be a competitive differentiator – the new black gold.
5. Role of finance is enhanced as it moves to trusted advisor and analyst
Prediction for 2025: Finance megatrends
Finance Digital Reinvention – the new enablers
18
Increased focus on ‘Insights to Outcomes’ with
Analytics and Cognitive services
Scenario Modeling
& Simulation
Prescriptive Modeling
Descriptive Reporting
& Contribution
Predictive Modeling
Data Foundations
Cognitive Computing
 Integrating data sources
 Master Data Management
 Data quality
 Data governance
 Agree management
dashboards and key
performance indicators (KPIs)
 Facilitating access to
insights
 A data driven culture
 Forecasting and
Optimization
 Examples
-Spend Analytics
-Payment Terms
Optimization
 Actionable insights
 Testing hypotheses
 Gaining business
stakeholder support
and adoption
-Fraud analytics
-Forecasting
 Embedding analytics into
decision-making processes
 Tracking ROI of data driven
programs.
-Collection Optimization
-Disputes Management
 Elevating experience
for maximal business
benefits
 Serving up real-time
insight at key points of
engagement
-Cognitive agent
assist
-Translation assist
 Single source of ‘the
truth’
 Managed contribution
 Structured KPIs
 Compliance analytics
 Process analytics –
AR, AP, Customer
metrics
-AR ageing reports
-LOB key metrics
Optimizing Costs
Accelerating Sales
Transforming the
Business Model
Innovation for
Differentiation
Managing Risk
Enhancing Customer
Experience
Time 1 to 5+ years depending on organizational maturity and culture
Getting Started
Emerging Technologies - The Future Of Finance
20
The trusty spreadsheet
21
We love Spreadsheets
o We live our lives in Excel
o Everyone knows how to use a spreadsheet
o They make perfect sense… (to the creator)
o Spreadsheets are a blank canvas of safety and
creativity
o Custom formatting, Charts, Formulas, Pivot Tables,
Reports, the list is endless!
Powerful, Flexible, Simple, Quick, “Free”, and Email-able
22
Demo
23
24
Spreadsheets can catch you out!
25
West Coast Mainline Franchise Bid (2012)
o Department of Transport deployed a new
financial model to assess bids
o The Laidlaw Report found mistakes had been
made in the model, which led to inconsistent
bids and incorrect comparisons / decisions
o Award to First Group removed
o Virgin Trains maintained the franchise whilst
the tender process was re-run
o Cost of mistake… £50M+
Sources:
http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf
https://www.bbc.co.uk/news/uk-politics-21577826
26
What are the danger signs for a spreadsheet
o Data, logic, and presentation are one in spreadsheets
• Unnecessary logic and data replication for the sake of presentation
• Data and formula do not live harmoniously side-by-side without protection
o Multi-dimensional problems expressed in a two dimensional space
becomes challenging
• Especially when people want their own way of viewing and manipulating the
o Cell references are not identifiable items…
• =C5*C6
o Importing data can be hard
o Sharing spreadsheets causes headaches
27
Tools for multi-dimensional problems
o OLAP – Online Analytical Processing
• Dimensions, Cubes, Measures, Hierarchies
o Separates the data, logic, and presentation
o Analysis
• Slice, dice, and pivot
o Planning
• A Pivot Table with write-back!
o Building business rules
• Reference identifiable items and names in logic
IBM Planning Analytics (other options are available!)
28
Demo
29
30
31
32
33
Spreadsheets vs OLAP
Spreadsheet OLAP model
Data, logic, and
presentation
All in one, redundant, error
prone
Separate layers, flexible,
resilient to change
Viewing and manipulating
multi-dimensional data
Multiple sheets and blocks of
data (possibly multiple files!)
Dimensions and Cubes
Formulae =C5*C6 =‘Revenue’ * ‘Discount %’
Data import Difficult to go from columnar
to crosstab
Flexible, automatable, single
version of the truth
Sharing Evolved from an individual
productivity tool
Built with multi-user and
multi-role in mind
34
What are the benefits
o Power users
o End users
o Infrastructure
o Relevant
o Accurate
o Fast
o Transparent
o Alignment
o Better Decisions
o Commitment
These benefits drive you towards best practices.
Reducing
Costs1 Better
Information2 Better
Outcomes3
Summary
Emerging Technologies - The Future Of Finance
36
Impact on Accountants
o Increased automation / path to cognitive leads to
a lower demand for some finance activities.
o Partner with other business leaders and expand
roles outside traditional accounting to become
valued and trusted advisors.
CFO’s are increasingly moving outside of traditional ‘Finance’ roles
o Other accounting specialists remain in high
demand providing higher value / lower cost.
o Focus on data / analytics / enabling technologies /
adding value.
37
Key Takeaways and Links
o Beginners guide to OLAP
• http://ibm.biz/Guide-To-OLAP
o IBM Planning AnalyticsTrial
• http://ibm.biz/CIMA-Future-Of-Finance
o The changing role of the CFO
• https://www-01.ibm.com/common/ssi/cgi-
bin/ssialias?htmlfid=GBE03781USEN&
o The Cognitive CFO
• https://www-01.ibm.com/common/ssi/cgi-
bin/ssialias?htmlfid=GBE03837USEN
o Blockchain
• https://www.ibm.com/blockchain
o Future of Finance – CIMA
• https://www.cimaglobal.com/future
o CIMAWhitepaper – Reinventing Finance
• https://www.cimaglobal.com/Documents/Future%20of%20Finance/f
uture-re-inventing-finance-for-a-digital-world.pdf
o Other CIMA reports:
• https://www.cgma.org/resources/reports/changing-competencies-
and-mindsets.html
• https://www.cgma.org/resources/reports/changing-shape-of-the-
finance-function.html
• https://www.cgma.org/resources/reports/changing-technology-and-
finance.html
• https://www.cgma.org/resources/reports/changing-role-and-
mandate-of-finance.html
Thank you!
39
Acknowledgments, disclaimers and trademarks
© Copyright IBM Corporation 2019. All rights reserved.
The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in
this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject
to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained
in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the
applicable license agreement governing the use of IBM software.
References in this publication to IBM products, programs or services do not imply that they will be made available in all countries in which IBM operates. Product release dates and/or
capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to
future product or feature availability in any way. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you
will result in any specific sales, revenue growth, savings or other results. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice,
and represent goals and objectives only.
Information concerning non-IBM products and services was obtained from a supplier of those products and services. IBM has not tested these products or services and cannot confirm
the accuracy of performance, compatibility, or any other claims related to non-IBM products and services. Questions on the capabilities of non-IBM products and services should be
addressed to the supplier of those products and services.
All customer examples cited or described are presented as illustrations of the manner in which some customers have used IBM products and the results they may have achieved.
Actual environmental costs and performance characteristics may vary by customer and will vary depending on individual customer configurations and conditions. Nothing contained
in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results.
Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM
representative or Business Partner for the most current pricing in your geography.
IBM, the IBM logo, ibm.com, and other IBM products and services are trademarks or registered trademarks of International Business Machines Corporation in the United States, other
countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S.
registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries.
A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at ibm.com/legal/copytrade.shtml
40
Notices and Disclaimers
Copyright © 2019 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission
from IBM.
U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM.
Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of
initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. THIS DOCUMENT IS
DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE
USE OF THIS INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS OF OPPORTUNITY.
IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided.
Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice.
Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers
have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary.
References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in
which IBM operates or does business.
Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials
and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or
their specific situation.
It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and
interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such
laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law
41
Notices and Disclaimers Con’t.
Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not
tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products.
Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the
ability of any such third-party products to interoperate with IBM’s products. IBM EXPRESSLY DISCLAIMS ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING BUT
NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual
property right.
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Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM
trademarks is available on the Web at "Copyright and trademark information" at: www.ibm.com/legal/copytrade.shtml.
42
What happened?
Descriptive
Get in touch with reality, a
single source of the truth, visibility
What will happen next?
Predictive
Understand the most likely future
scenario and its business implications
What is our plan?
Planning
Planning, budgeting, and
forecasting
Understanding why something
happened is a critical step
What should we do?
Prescriptive
Collaborate for maximum business
value, informed by advanced analytics
Governance & Trusted Data
IBM Data Science and Business Analytics Platform
Why did it happen?
Diagnostic
Data Augmentation and
Contextualization
Unstructured Data
Structured Data
43
JP Morgan Chase (2013)
- Value at risk for Basel II valuation
misstated
- Reliance on one over-worked
spreadsheet modeler
- Complex model only understood by
one person
- Cost of mistake… circa. £250M
Sources:
http://files.shareholder.com/downloads/ONE/2261602328x0x628656/4cb574a0-0bf5-4728-9582-625e4519b5ab/Task_Force_Report.pdf
http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf
44
Fidelity Magellan Fund (1995)
- A missing minus sign led to an over
statement of capital gains
- President of the fund had to write to
shareholders explaining the
expected distribution was incorrect
following spreadsheet errors
- Cost of mistake…. £1.6B
Sources:
https://www.washingtonpost.com/news/wonk/wp/2013/04/16/is-the-best-evidence-for-austerity-based-on-an-excel-spreadsheet-error/?noredirect=on&utm_term=.4bce1378684d
http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf
45
Harvard University (2013)
- A spreadsheet error was discovered in an
influential research paper of international
government debt to GDP ratios
- Research paper quoted as a base for UK
and EU austerity measures
- Embarrassing for the academics involved
- Cost of mistake… unknown, but UK
government cuts are worth tens of
Billions of pounds
Sources:
http://catless.ncl.ac.uk/Risks/16.72.html#subj1
http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf
46
Reason
They can reason, grasp
underlying concepts, form
hypotheses, and infer and
extract ideas.
Understand
Cognitive systems
understand imagery,
language and other
unstructured data like
humans do.
Learn
With each data point,
interaction and outcome,
they develop and sharpen
expertise, so they never stop
learning.
Interact
With abilities to see,
talk and hear, cognitive
systems interact with
humans in a natural way.
What is Cognitive computing?
Cognitive systems understand, reason, learn and interact
47
Why is cognitive computing important now?
Data
The volume, variety and
veracity of data – 80% of it
unstructured – is growing at a
rate impossible to keep
up with.
Choice
Companies have a wider range of
choices than ever before and are
expecting innovative, relevant
and personalized engagement.
Capabilities
Gaps in organizational capability
are emerging as cognitive
computing fundamentally
changes the way companies
leverage technology to conduct
business.
48
What is possible with cognitive computing?
Deeper human engagement Elevated expertise Cognitive products and services
Cognitive processes and
operations
Intelligent exploration and
discovery
Cognitive infrastructure

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Emerging Technologies - The Future Of Finance (CIMA Feb 2019)

  • 1. 1 Emerging Technologies The Future of Finance Mike Sadler February 2019
  • 2. 2 Mike Sadler, an Offering Manager for IBM, has worked in the Enterprise Performance Management industry for nearly 2 decades, helping customers worldwide understand how IBM Planning Analytics can reduce costs, improve accuracy and drive performance by implementing proven practices that deliver speed, agility and foresight. With a lens on today's digital-savvy buyers, Mike is working to deliver the frictionless discover-try-buy-adopt experience that customers have come to expect. www.linkedin.com/in/michael-k-sadler/ twitter.com/analytics_mike Mike Sadler
  • 3. Setting The Scene Emerging Technologies - The Future Of Finance
  • 4. 4 The future of Finance and Accounting… … is linked to the increasing pace of change brought about by technology. Much of what has been done manually for 100’s of years has been eroded in the last century. Alongside this was the growth of accounting software and enterprise reporting systems Now we see some significant enablers which will further disrupt the mechanics of the accounting profession.
  • 5. 5 New challenges are driving change Performance pressures and acquisitions Geopolitical factor Digital disruption Amazon is a very real example of the impact of digital disruption on consumers and our clients in this sector, increasing awareness at senior levels that “digital” can be a sword that cuts both ways. Many clients are experiencing political and social pressure related to types and numbers of jobs onshore. This at a time when performance pressure is intense for senior leaders. The impact of 3G Capital, Pershing Square, Carl Icahn (and others) illustrates performance pressure facing our clients. Lower growth is leading to increased interest in “pay as you go” options. Carl Icahn
  • 6. 6 Why is this important? Benefits Reducing Costs1 Better Information2 Better Outcomes3 Tangible benefits for your organisation
  • 7. 7 Why is this important? Benefits Tangible benefits for your YOU
  • 8. The Challenges Emerging Technologies - The Future Of Finance
  • 9. 9 The changing role of the CFO The CFO mission to uncover the unknown Applying analytics and cognitive computing for efficiency and insight https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=GBE03781USEN& Tempestuous times. Disruption of the status quo. Huge turbulence. Industry convergence. New competitors. These trends highlighted in IBM’s latest C-suite Study continue to challenge enterprises worldwide. Over 80% of Finance teams expect to use analytics to drive performance, manage risk/compliance and optimize processes within two years About half of Finance organizations plan to implement cognitive computing within the next two years and nearly two-thirds within five years
  • 10. 10 Many CFOs feel their organizations are not sufficiently ready for the disruptive market trends of the cognitive era Largest gaps between importance and effectiveness Drive integration of information across enterprise Develop talent in the finance organization Identify and track new revenue growth opportunities Provide input into enterprise strategy Optimize planning, budgeting and forecasting 75%47% 86%60% 63%38% 86%67% 81%62% Effectiveness Importance 19% gap 19% gap 25% gap 26% gap 28% gap Source: IBM Redefining CFO Performance
  • 11. 11 Will pressurize companies to add more finance jobs in market. Finance roles will continue to evolve rapidly and skills shortages will increase There are 5 key challenges Finance teams face: Geo political reality and risk mitigation1 For finance functions i.e. collections and credit management.These functions will find it increasingly difficult to attract/retain human talent Transactions processing standardization increases2 Trusted partnerships become a defining part of a company’s ecosystem. All involved need to solve this to make the ecosystem more efficient Trust and Visibility3 Driving deeper insights from across all data sources, (structured or unstructured) gives a competitive advantage for companies Deeper insights for Finance Organizations will demand more, and the Finance function needs to adjust, for the leap forward that technology enables Business outcomes5 4
  • 12. Outlook Emerging Technologies - The Future Of Finance
  • 13. 13 1. Blockchain will drive the complete re-invention of all finance processes and and eliminate manual intervention in corporate owned ERPs and silo systems Prediction for 2025: Finance megatrends Finance Digital Reinvention – the new enablers
  • 14. 14 Business terms embedded in transaction database & executed with transactions Smart contract All parties agree to network verified transaction Shared ledger Ensuring appropriate visibility; transactions are secure, authenticated & verifiable Permissions Consensus Append-only distributed system of record shared across business network Blockchain for business reduces process friction “What the internet did for communications…blockchain will do for trusted transactions.” – Ginny Rometty, IBM CEO Saves Time Transaction time from days to near instantaneous Removes Cost Overheads and cost intermediaries Reduces Risk Tampering, fraud & cyber crime Blockchain for Accounts Payable Leverages Hyperledger technology to link ecosystem of buyers and sellers and create Smart Contracts to process transactions with one version of the truth
  • 15. 15 1. Blockchain will drive the complete re-invention of all finance processes and and eliminate manual intervention in corporate owned ERPs and silo systems 2. Robotic automation will be the norm, replacing most repetitive work in finance, finance, which can be largely automated with cognitive technologies, like Watson. Prediction for 2025: Finance megatrends Finance Digital Reinvention – the new enablers
  • 16. 16 Robotic Cognitive Among the most effective Finance organizations, over 80 percent said it will play an important role Transformation through cognitive technologies Programmed Rule-based, logic-driven and dependent on organized information Probabilistic They learn systematically, not dependent on rules, and handle disparate and varied data. Watson Order to Cash Apps Provides guided assistance, using natural language processing and next best action recommendations, to offer superior customer engagement, enhance expertise and drive improved working capital Understand Reason Learn Interact Map Model Automate
  • 17. 17 1. Blockchain will drive the complete re-invention of all finance processes and and eliminate manual intervention in corporate owned ERPs and silo systems 2. Robotic automation will be the norm, replacing most repetitive work in finance, finance, which can be largely automated with cognitive technologies, like Watson. 3. Transactional offshore delivery centres will decline and outsourcers will move to a Finance as a Service commercial model as automated services replace the people based delivery model 4. Data will increasingly be a competitive differentiator – the new black gold. 5. Role of finance is enhanced as it moves to trusted advisor and analyst Prediction for 2025: Finance megatrends Finance Digital Reinvention – the new enablers
  • 18. 18 Increased focus on ‘Insights to Outcomes’ with Analytics and Cognitive services Scenario Modeling & Simulation Prescriptive Modeling Descriptive Reporting & Contribution Predictive Modeling Data Foundations Cognitive Computing  Integrating data sources  Master Data Management  Data quality  Data governance  Agree management dashboards and key performance indicators (KPIs)  Facilitating access to insights  A data driven culture  Forecasting and Optimization  Examples -Spend Analytics -Payment Terms Optimization  Actionable insights  Testing hypotheses  Gaining business stakeholder support and adoption -Fraud analytics -Forecasting  Embedding analytics into decision-making processes  Tracking ROI of data driven programs. -Collection Optimization -Disputes Management  Elevating experience for maximal business benefits  Serving up real-time insight at key points of engagement -Cognitive agent assist -Translation assist  Single source of ‘the truth’  Managed contribution  Structured KPIs  Compliance analytics  Process analytics – AR, AP, Customer metrics -AR ageing reports -LOB key metrics Optimizing Costs Accelerating Sales Transforming the Business Model Innovation for Differentiation Managing Risk Enhancing Customer Experience Time 1 to 5+ years depending on organizational maturity and culture
  • 19. Getting Started Emerging Technologies - The Future Of Finance
  • 21. 21 We love Spreadsheets o We live our lives in Excel o Everyone knows how to use a spreadsheet o They make perfect sense… (to the creator) o Spreadsheets are a blank canvas of safety and creativity o Custom formatting, Charts, Formulas, Pivot Tables, Reports, the list is endless! Powerful, Flexible, Simple, Quick, “Free”, and Email-able
  • 23. 23
  • 25. 25 West Coast Mainline Franchise Bid (2012) o Department of Transport deployed a new financial model to assess bids o The Laidlaw Report found mistakes had been made in the model, which led to inconsistent bids and incorrect comparisons / decisions o Award to First Group removed o Virgin Trains maintained the franchise whilst the tender process was re-run o Cost of mistake… £50M+ Sources: http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf https://www.bbc.co.uk/news/uk-politics-21577826
  • 26. 26 What are the danger signs for a spreadsheet o Data, logic, and presentation are one in spreadsheets • Unnecessary logic and data replication for the sake of presentation • Data and formula do not live harmoniously side-by-side without protection o Multi-dimensional problems expressed in a two dimensional space becomes challenging • Especially when people want their own way of viewing and manipulating the o Cell references are not identifiable items… • =C5*C6 o Importing data can be hard o Sharing spreadsheets causes headaches
  • 27. 27 Tools for multi-dimensional problems o OLAP – Online Analytical Processing • Dimensions, Cubes, Measures, Hierarchies o Separates the data, logic, and presentation o Analysis • Slice, dice, and pivot o Planning • A Pivot Table with write-back! o Building business rules • Reference identifiable items and names in logic IBM Planning Analytics (other options are available!)
  • 29. 29
  • 30. 30
  • 31. 31
  • 32. 32
  • 33. 33 Spreadsheets vs OLAP Spreadsheet OLAP model Data, logic, and presentation All in one, redundant, error prone Separate layers, flexible, resilient to change Viewing and manipulating multi-dimensional data Multiple sheets and blocks of data (possibly multiple files!) Dimensions and Cubes Formulae =C5*C6 =‘Revenue’ * ‘Discount %’ Data import Difficult to go from columnar to crosstab Flexible, automatable, single version of the truth Sharing Evolved from an individual productivity tool Built with multi-user and multi-role in mind
  • 34. 34 What are the benefits o Power users o End users o Infrastructure o Relevant o Accurate o Fast o Transparent o Alignment o Better Decisions o Commitment These benefits drive you towards best practices. Reducing Costs1 Better Information2 Better Outcomes3
  • 35. Summary Emerging Technologies - The Future Of Finance
  • 36. 36 Impact on Accountants o Increased automation / path to cognitive leads to a lower demand for some finance activities. o Partner with other business leaders and expand roles outside traditional accounting to become valued and trusted advisors. CFO’s are increasingly moving outside of traditional ‘Finance’ roles o Other accounting specialists remain in high demand providing higher value / lower cost. o Focus on data / analytics / enabling technologies / adding value.
  • 37. 37 Key Takeaways and Links o Beginners guide to OLAP • http://ibm.biz/Guide-To-OLAP o IBM Planning AnalyticsTrial • http://ibm.biz/CIMA-Future-Of-Finance o The changing role of the CFO • https://www-01.ibm.com/common/ssi/cgi- bin/ssialias?htmlfid=GBE03781USEN& o The Cognitive CFO • https://www-01.ibm.com/common/ssi/cgi- bin/ssialias?htmlfid=GBE03837USEN o Blockchain • https://www.ibm.com/blockchain o Future of Finance – CIMA • https://www.cimaglobal.com/future o CIMAWhitepaper – Reinventing Finance • https://www.cimaglobal.com/Documents/Future%20of%20Finance/f uture-re-inventing-finance-for-a-digital-world.pdf o Other CIMA reports: • https://www.cgma.org/resources/reports/changing-competencies- and-mindsets.html • https://www.cgma.org/resources/reports/changing-shape-of-the- finance-function.html • https://www.cgma.org/resources/reports/changing-technology-and- finance.html • https://www.cgma.org/resources/reports/changing-role-and- mandate-of-finance.html
  • 39. 39 Acknowledgments, disclaimers and trademarks © Copyright IBM Corporation 2019. All rights reserved. The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in this publication to IBM products, programs or services do not imply that they will be made available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth, savings or other results. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Information concerning non-IBM products and services was obtained from a supplier of those products and services. IBM has not tested these products or services and cannot confirm the accuracy of performance, compatibility, or any other claims related to non-IBM products and services. Questions on the capabilities of non-IBM products and services should be addressed to the supplier of those products and services. All customer examples cited or described are presented as illustrations of the manner in which some customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer and will vary depending on individual customer configurations and conditions. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results. Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM representative or Business Partner for the most current pricing in your geography. IBM, the IBM logo, ibm.com, and other IBM products and services are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at ibm.com/legal/copytrade.shtml
  • 40. 40 Notices and Disclaimers Copyright © 2019 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided. Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law
  • 41. 41 Notices and Disclaimers Con’t. Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM’s products. IBM EXPRESSLY DISCLAIMS ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right. IBM, the IBM logo, ibm.com, Aspera®, Bluemix, Blueworks Live, CICS, Clearcase, Cognos®, DOORS®, Emptoris®, Enterprise Document Management System™, FASP®, FileNet®, Global Business Services ®, Global Technology Services ®, IBM ExperienceOne™, IBM SmartCloud®, IBM Social Business®, Information on Demand, ILOG, Maximo®, MQIntegrator®, MQSeries®, Netcool®, OMEGAMON, OpenPower, PureAnalytics™, PureApplication®, pureCluster™, PureCoverage®, PureData®, PureExperience®, PureFlex®, pureQuery®, pureScale®, PureSystems®, QRadar®, Rational®, Rhapsody®, Smarter Commerce®, SoDA, SPSS, Sterling Commerce®, StoredIQ, Tealeaf®, Tivoli®, Trusteer®, Unica®, urban{code}®, Watson, WebSphere®, Worklight®, X-Force® and System z® Z/OS, are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at: www.ibm.com/legal/copytrade.shtml.
  • 42. 42 What happened? Descriptive Get in touch with reality, a single source of the truth, visibility What will happen next? Predictive Understand the most likely future scenario and its business implications What is our plan? Planning Planning, budgeting, and forecasting Understanding why something happened is a critical step What should we do? Prescriptive Collaborate for maximum business value, informed by advanced analytics Governance & Trusted Data IBM Data Science and Business Analytics Platform Why did it happen? Diagnostic Data Augmentation and Contextualization Unstructured Data Structured Data
  • 43. 43 JP Morgan Chase (2013) - Value at risk for Basel II valuation misstated - Reliance on one over-worked spreadsheet modeler - Complex model only understood by one person - Cost of mistake… circa. £250M Sources: http://files.shareholder.com/downloads/ONE/2261602328x0x628656/4cb574a0-0bf5-4728-9582-625e4519b5ab/Task_Force_Report.pdf http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf
  • 44. 44 Fidelity Magellan Fund (1995) - A missing minus sign led to an over statement of capital gains - President of the fund had to write to shareholders explaining the expected distribution was incorrect following spreadsheet errors - Cost of mistake…. £1.6B Sources: https://www.washingtonpost.com/news/wonk/wp/2013/04/16/is-the-best-evidence-for-austerity-based-on-an-excel-spreadsheet-error/?noredirect=on&utm_term=.4bce1378684d http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf
  • 45. 45 Harvard University (2013) - A spreadsheet error was discovered in an influential research paper of international government debt to GDP ratios - Research paper quoted as a base for UK and EU austerity measures - Embarrassing for the academics involved - Cost of mistake… unknown, but UK government cuts are worth tens of Billions of pounds Sources: http://catless.ncl.ac.uk/Risks/16.72.html#subj1 http://blogs.mazars.com/the-model-auditor/files/2014/01/12-Modelling-Horror-Stories-and-Spreadsheet-Disasters-Mazars-UK.pdf
  • 46. 46 Reason They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. Understand Cognitive systems understand imagery, language and other unstructured data like humans do. Learn With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. Interact With abilities to see, talk and hear, cognitive systems interact with humans in a natural way. What is Cognitive computing? Cognitive systems understand, reason, learn and interact
  • 47. 47 Why is cognitive computing important now? Data The volume, variety and veracity of data – 80% of it unstructured – is growing at a rate impossible to keep up with. Choice Companies have a wider range of choices than ever before and are expecting innovative, relevant and personalized engagement. Capabilities Gaps in organizational capability are emerging as cognitive computing fundamentally changes the way companies leverage technology to conduct business.
  • 48. 48 What is possible with cognitive computing? Deeper human engagement Elevated expertise Cognitive products and services Cognitive processes and operations Intelligent exploration and discovery Cognitive infrastructure

Editor's Notes

  1. Intro to me… IBM OM – Evolution from Product Management, delivering solutions that may constitute a number of products, and managing the entire process including design, development, go-to-market strategy etc. Planning Analytics – Enterprise Performance Management tool, geared more towards finance… Planning, budgeting, and forecasting. Enterprise Performance Management – FOPM and BI technologies 500 cloud customers, 6000 on-premise customers, all with an FP&A problem… whether that be PB&F, Operational planning, Integrated financials (P&L, balance sheet, cashflow), HR planning, etc. Focus on Cloud offering. SaaS
  2. Turn back the clock 100 years… before computing we had comptometers (mechanical calculators). Then came … electronic calculators… PCs… networking… connectivity… the internet… smartphones… cloud… and most recently big data We have also seen the growth of finance software… ERPs… BI tools… etc. And IBM played a part in that, as you can see from one of our adverts: During the 1930s and 1940s, IBM developed and marketed an increasingly sophisticated line of electric accounting machines. The company's Electric Accounting Machine (EAM) Division operated in 79 countries throughout the world and maintained some 80 sales offices throughout the United States. This 1932 advertisement, published in the July edition of The Bulletin of the National Retail Dry Goods Association , informs store owners and accountants of the benefits of two EAM products: an automatic summary punch and a direct subtraction accounting machine. (VV9012) The journey is not complete… there are new enablers and disruptors that will change the finance world once again
  3. Companies are facing new challenges Digital disruption You could fill this slide with logo’s that have disrupted business. Let’s look at Amazon – revolutionized how consumers shop. Digital age we live in is disruptive. Cloud and ‘as a service’ tools are enabling this. Look at the demise of Kodak and Blockbuster and the rise of companies like Uber and Air B&B. Safe to say that digital is a sword that cuts both ways. Performance pressures and acquisitions Companies under pressure from their investors. Making big up-front investments in technology is becoming a thing of the past. Cloud and ‘as-a-service’ technologies offer a pay as you go option instead. There is pressure to improve performance by making smart investments to get very quick returns. Lots of new emerging technologies not available on prem. Geopolitical factors Very topical at the moment with Brexit. A lot of our clients are uncertain about the upcoming impact. There are regulatory impacts too… GDPR, IFRS16 and electronic filing (i.e. XBRL) Companies under pressure to perform and debates around jobs onshore vs offshore are common.
  4. What are the benefits of adopting emerging technologies? There are clear benefits for organisations to keep up with the pace of change. Reduce Costs Power users – Reducing time and effort spent maintaining complex processes... It’s hard and it’s cumbersome. One of the primary drivers for adopting new technologies. Better Information Relevant – You’ll get engagement from end users and participation in the processes by delivering tools and systems that are relevant and appropriate for the line of business. (Hotels example – one hotel vs chain of hotels?) Accurate – Getting people involved and engaged in their area of responsibility encourages higher participation and therefore more accurate information. (Store manager participating vs regional manager visiting monthly etc). Fast – All about agility. Being able to react quickly. The value of information goes down over time. Refreshing frequently maintains value. (Rolling forecast vs quarterly forecast). Transparent – Moving away from a black box approach. People understand how results have been derived. Single version of the truth. Better Outcomes – clearly the objective Alignment (Horizontal & Vertical) – Vertical = marrying top-down and bottom-up processes. Everyone has transparency. Horizontal = understanding and collaborating across the wider business. Standardisation and integration. Decisions are being made from the same, single version of the truth, data and analysis. (Net new numbers vs numbers with renewals). Better Decisions – Better decisions come from everyone in the organisation making better decisions… not just one person. Emerging technologies enable everyone in the organisation to do this. Commitment – Ownership of decisions. When everyone is involved and engaged, they are much more committed when they make those decisions.
  5. So why is this of interest to YOU? Let’s take a moment to think about what this means for you – I would recommend taking the time to visit the Future section of the CIMA website (https://www.cimaglobal.com/future) as this does an amazing job of outlining the impact on the finance profession. In particular, take the time to read the white paper, which describes how the role of finance is moving from accounting to business partner (as we will explore in this presentation) and that there are opportunities to grow your skills in those emerging technologies, which will be very much in demand.
  6. With the high-level challenges in mind, we see the role of the CFO changing. IBM conducted a study called ‘The CFO mission to uncover the unknown’ back in 2016, which focused on applying analytics and cognitive computing to improve efficiency and insight. Very good read – link included. The report highlights that we are living in tempestuous times. Disruption of the status quo is the new status quo. Lots of turbulence with new competitors across the board. We found that over 80% of finance teams expect to use analytics to drive performance, manage risk/compliance, and optimise processes within two years…. Well this report was from 2016, and we’re now in 2018, so this should have happened by now! Are you part of the 80%? Did you make it? Similarly, in the same timeframe, about half of the organisations in the study planned to implement cognitive computing, with two-thirds having a longer vision of 5 years. The Chief Finance Officer is turning into the Chief Analytics Officer. It is no longer enough to understand what has happened (hindsight) and apply that to what might happen (foresight)… market disruption demonstrates the need to identify unknown opportunities and risks. As a result, the CFO now has to understand Advanced Analytics, Digital, Robotics and Intelligent Automation, Cognitive, the list goes on… All these things aim to increase the efficiency of traditional activities, reducing their cost, and decreasing the amount of manual (and human) activity involved. It’s a move towards ‘Lights Out’ accounting.
  7. So we asked CFOs if their organisations were ready for this Many said their organisations are not sufficiently ready for the upcoming changes and cognitive era. We asked them to score the importance of various priorities, and to give an indication of the effectiveness their organisation has at those. On this topic, 2 charts stand out for me, as they are most highly ranked in terms of importance: Provide input into enterprise strategy and Develop talent in the finance organisation. Both of these topics talk to topic we are exploring here – having the skills to be an effective business partner, and you can see that there is still a gap in those areas. One area of particular interest for me is the importance of optimizing planning, budgeting, and forecasting processes, which thankfully over 80% agreed was important.
  8. So, we see 5 key challenges finance teams will face. The first is Geo political reality and risk mitigation… with the rapid evolution of finance roles and increasing demand for highly skilled individuals, we believe that skills shortages will increase. The second is Transaction processing standardization… whether it be in collections or credit management, the appetite for standardization is growing. Like above, with the growth of emerging technologies facilitating standardization and automation, attracting and retaining talent in this area will become more difficult. Value add vs repetition. Next is Trust and Visibility… your company’s ecosystem will be defined by the trusted partnerships you create. Everyone needs to solve this problem of trust and transparency to be more efficient. We’ll be talking a little bit more about a new technology called Blockchain which aims to standardize the end-to-end transaction management process with security, traceability, and accountability baked in. Deeper insights for Finance… we have so much data at our disposal now… using that data successfully is the key. Whether it be structured or unstructured, there is a piece of technology out there for you today to tap into your data, understand it, reason about it, and get deeper insights into your business. And finally Business outcomes… there are new pressures on organizations to perform. The demand and expectation is increasing, and the finance function needs to adjust to that. The forward leaps organizations are able to make with new emerging technologies will make them more competitive in the market.
  9. Blockchain. The new Blockchain technology will reinvent finance processes and drive automation with a shared ledger that is secure, transparent, and saves cost.
  10. What is Blockchain? Blockchain is a shared, distributed, ledger technology allowing participants in the business network to see the system of record. Every transaction or asset transfer is digitally signed and encrypted, forming a block. Each block is put one after another, forming a unique data structure, or an immutable, irreversible chain. The key here is that this is a smart, secure, transparent, and traceable transaction technology that relies on consensus between all parties for every transaction. Blockchain technology reduces transaction cycle time, removes overheads and reduces cost of managing transactions, and significantly reduces risk of tampering, fraud, and abuse. Hopefully you can see how this technology would help your organization – there is a big focus on blockchain for finance. A good example is Blockchain for Accounts Payable – IBM create solutions to dramatically cut invoice processing costs and reduce intermediary dependency to resolve invoice exceptions.
  11. Robotic Automation will be the norm. Repetitive work that can be automated as part of the analytics journey and path to Cognitive will be. This links back to the second challenge in the top 5 challenges we saw earlier – there will be a shift in focus from low value work to value-added work – looking for insights, advising the business.
  12. Finance executives agree that cognitive computing has the potential to radically change their organisations. … with over 80% of the most effective finance organisations said that Cognitive has an important role to play in the industry. Robotic Process Automation is a great starting point - where systems can programmed to take out the dull, dreary work that is repetitive and manual – a great example is a global education company that worked with IBM and Blue Prism to automate 520 inter-company reconciliations, reducing the effort by 30%, speeding the process by 5 times – freeing up the team to work on more value adding activities. https://www.ibm.com/case-studies/education-finance Analytics systems give us insights from data, but with cognitive systems, we can turn those insights into knowledge. So… Cognitive systems can understand unstructured information such as the imagery, natural language and sounds in books, emails, tweets, journals, blogs, images, sound and videos. They unlock meaning because they can reason through it, giving us new contexts to weigh and consider. Cognitive systems also learn continually, honing our own expertise so we can immediately take more informed actions. And they interact with us and with our customers, dissolving barriers between humans and machine, fueling unique, essential user experiences.
  13. And these final 3 are really linked, as we think about the evolving “as-a-service” opportunities that push finance to delivering more value as partners to the business. Data will be a competitive differentiator: We saw in the advanced analytics journey that data is at the foundation to insights and business outcomes. Having your own data at your disposal is great, but what about other sources of data… - Competitive information, macro-economic data, news/events - Demand data, supply chain information, customer profiling / segmentation, social media, weather Having data is not a competitive differentiator, knowing how to quickly get to insights and act on those insights from the data you have is a competitive differentiator. All of these trends lead to the fact that the role of Finance is being enhanced It’s no longer about just closing the books. Finance roles are changing and there is a requirement to become skilled in new areas… finance teams will become the champions of performance. Finance will be required to give guidance to the rest of the business. This has already happened in a lot of organisations who are the leaders in their fields, and have already started their analytics maturity journey.
  14. IBM Confidential
  15. That was a lot to take in! I’m going to try and relate this to spreadsheets… I’m sure we all use spreadsheets in our daily lives – especially those in finance.
  16. Why am I focusing on spreadsheets? Well because we love spreadsheets…. Spreadsheets are powerful – learn how to use a pivot table and some of the basic formulas and you’re away. I’m sure most of us could write a VLOOKUP in our sleep. What about INDEX and MATCH as an alternative? They’re flexible – flexible in the way we can include data in different formats (crosstab, columnar, etc.). Flexible in how we define the presentation. Flexible in the logic we apply. They’re simple – you don’t need a PhD to create a spreadsheet. They’re quick – How long would it take to knock up a simple balance sheet in Excel…? 10 minutes? Maybe 15? They’re free – they’re not really free, but how many people don’t have access to Excel on their machines? They’re email-able – I don’t know if that’s a word, but they’re easy to share, pass around, update. Spreadsheets are a blank canvas of safety and creativity – they’re a go-to place that we all feel comfortable in and live our lives in. And they make sense…. Or at least they do to the creator!
  17. Spreadsheet demo Walk through spreadsheet – assumptions and GP tab. What is this spreadsheet doing. Hopefully relatable. Define the data – Unit cost, unit price, volume Define the logic – revenue, cost of good, gross profit, GP%. Aggregation across month. Walk through formula summary on Massachussets tab (top right)… 64 formulas on this tab for aggregation alone. A further 160 formulas to calculate all of our logic… 49 per product and 13 for the total. Show tabs for each region. Aggregation into the summary tab. Additional formulas here purely to add up the numbers across the individual region tabs. In total (for this pretty simple spreadsheet) we have 400 formulas for aggregation, 500 formulas for calculations and logic, and nearly 1000 overall. Finally we have an analysis tab which combines all the data from the tabs into a table that can be filtered. Imagine if we did this for every state in the United States… we would have in excess of 15,000 formulas.
  18. So hopefully we’re all agreed that we love spreadsheets…. However, they can be dangerous. There is an obvious mistake here… but it’s only obvious because I’m showing you! If we weren’t looking at this formula, but looking at the resulting value instead, we wouldn’t know from a quick scan that the number is wrong.
  19. Here’s an example of how a mistake in a spreadsheet can be costly… I used the east coast mainline to get up here this week – maybe some of you used the west coast mainline, either way, back in 2012, the department of transport deployed a new spreadsheet-based financial model to assess bids for the franchise. Numerous vendors submitted bids as part of the tender process, the First Group were awarded the franchise, but things went south from there (no pun intended). A subsequent report into the process found mistakes in the financial model, which led to inconsistent bids from applicants, and ultimately incorrect comparisons of their bids and incorrect decisions. The award to First Group was removed as a result, and Virgin maintained their control of the franchise whilst the tender process was re-run. The cost of this mistake was apparently over £50M… spreadsheets can be dangerous!
  20. So let’s recap what we’ve just explored. Spreadsheets are an amazing tool for personal or group work, but once we starting performing some serious analysis, or need to collaborate with others it has gaps.
  21. OLAP – people might be familiar with dimensions and measures from PivotTables. A Dimension is a list or category or related items that define a certain aspect of the business… for example, products, regions, time, departments, cost centres, etc. Dimensions make cubes A cube is a multi-dimensional data set (not just 3D). You can use cubes to hold data, collect data from users, and calculate data as needed. Generally a cube stores data for one aspect of the business… e.g. employees or revenue. You can think of a cube as a multi-dimensional spreadsheet. Link back to the example Measures are measurable properties such as sales, costs, or duration. Measures give you information about the quantities that you're interested in finding out.  If a dimension is a category of related items, hierarchies are subcategories. Hierarchies have levels and allow you to "drill down" or "drill up" on your data. Drilling allows you to analyze your data at different levels of granularity. For example, a time dimension might have a hierarchy of years, quarters, months, and weeks.
  22. Demo of Planning Analytics. Working in a Book. Book has several tabs. Explain this is a replication of the spreadsheet – not tried to do any fancy dashboarding with charts, custom widgets, embedding objects, etc. (although all possible) Show Assumptions – show data change across all time periods with shortcut Show regional forecast – one tab for all regions with a dimension selector Show data change for volume in different regions Show spreading across all regions The data is the same. The presentation and logic have been abstracted. Show logic tab Describe dimensions Show the cube Describe the business rules Demo adding another region. Populate volume. Explain that logic (rules and aggregation) and presentation are automatically updated. Show Analysis tab This is just another view of the same cube – no additional logic to create this view Flick between measures Show Freeform tab Slice and dice. Nesting. Writeback. Show face of grid calculation
  23. Replication of the spreadsheet example – notice that it is one sheet, with a selector, rather that repeating the tab multiple times.
  24. Here you can see how the logic is separate from the data and the presentation. We can see the dimensions of our business, which we define once, and have available throughout the book. For example, if we add another product, or region, they automatically become available everywhere. There is no need to create specific calculations for aggregation – this happens automatically, whichever way we choose to view the data. For example, we could add Quarters to the time dimension, having the months automatically roll-up, and the quarters, in turn, automatically roll-up into the full year – all with out defining any calculations. The calculations for the measures are defined once using business terms rather than abstract cell references. This makes the model easier to understand and maintain. AND they are separate from the data meaning that calculations cannot be over-written by users.
  25. Here’s an alternative view that we built, allowing us to focus on the measures – this is a view on the data, meaning that we don’t have to replicate the entire data-logic-presentation sheet. We simply put a new view on the canvas and Planning Analytics looks after getting the data, and running the calculations. In fact, you can see that we have also linked 2 charts, as well. As the measure selection changes, the charts will update automatically.
  26. And in this case, we show just how easy it is to take that flexibility one step further – with the ability to slice and dice, drill down, filter, enter data – all on the same model, but without all of the work.
  27. Let’s recap what we have just seen and that contrasts with the spreadsheet approach.
  28. So what’s in it for you? Well all of the benefits that we talked about earlier about adopting emerging technologies in your organisation apply to this example. You’re reducing costs by … centralizing the planning process, removing the burden on power users to maintain complex spreadsheets, and allowing end users to self-serve their analysis. Power users – Reducing time and effort spent maintaining complex processes... It’s hard and it’s cumbersome. One of the primary drivers for adopting new technologies. End users – If you make it easier for end users to participate in the business processes, they don’t need to do their own thing. Enabling self service of ad-hoc requirements reduces burden on other teams. Infrastructure – More and more customers choosing Cloud. Generally seeing a huge rise in ‘as a Service’ technology. Cloud story – 5 years ago, 2-3 years ago, NOW. Reduces the cost of ownership. You’re getting better information … the data and model can be relevant down to individual cost centres, departments – whatever dimensionality you define. It will be accurate because the right people are updating the right bits. And it’s fast… you saw how easy it was to add a new region to the model and start entering data. You’re getting better outcomes … you can imagine an extension of this to start forecasting which could include top-down and bottom-up planning for alignment across the organisation. These benefits drive you towards and facilitate best practices. You can start to bake in driver based planning… ensuring that everyone is working from a common understanding (leading back to the point earlier about trust and visibility) and common data set. One person’s assumptions might not be the same as the next! (Which exchange rate were they using??) High frequency planning – these pieces of technology streamline processes, introduce control and rigor, and facilitate a more frequent planning cycle – something that most organisations want to achieve. This ties back to getting better information that is relevant and accurate. And finally High participation planning – having a centralised system with a single version of the truth enables you to distribute this process wider throughout your organisation and get more people involved.
  29. Let’s summerize - what is the impact on the finance professions? Data, analytics, automation, and cognitive technologies will become weapons in a finance team’s arsenal as the CFO drives their team to move beyond traditional roles. As we can see from this view from the CIMA whitepaper, we discussed earlier – that’s where these charts come from - some roles… repetitive roles… will be in lower demand. But equally, specialists skills will remain in high demand as finance moves to providing higher value input across the organisation. So… embrace the disruption… don’t fear it. There is still a future for us all! Think about how you can partner with other business leaders and expand the role of finance in your organisations. This is key… become valued and trusted advisors. Where to you start and how do you do that? Focus on data, analytics, enabling technologies, and adding value. So – a final thought - Emerging technologies will NOT replace accountants. But accountants who use Emerging technologies WILL replace those who don’t.
  30. All of you have seen this diagram which represents the DS&BA Vision. But, this is also our pattern in another form, and THIS is our differentiator as well. This “ring diagram” as it’s called is the basis for our storytelling, the scenarios we are going to craft for our prospects, and being able to relate this story to our prospects, their business, and the value that IBM brings is the key to our success. We will revisit this later in this session. -------------- IBM is unique in its ability to deliver on this lifecycle of turning data into insight and insight into action.   IBM Planning Analytics provides a market leading tool for building your business plans, this integrates with Cognos Analytics that lets you track actuals and compare to your plans.  Watson Analytics provides the smart data discovery component that can help you understand why you may be tracking on or off plan.  SPSS or Data Science Experience provide leading predictive analytics capabilities including forecasting and prescriptive analytics such as optimization.  These capabilities complement and are integrated with business planning to enable constraint based planning and forecasting. This system is based upon trusted data and a governance process to ensure that the insights for crucial decisions  can be relied on. 
  31. So what is Cognitive technology? Analytics systems give us insights from data, but with cognitive systems, we can turn those insights into knowledge. Traditional computing is programmed… it is rule-based, logic-driven, and dependent on organized information. Cognitive systems are probabilistic… they learn systematically, they are not dependent on rules, and they handle disparate and varied data. So… Cognitive systems can understand unstructured information such as the imagery, natural language and sounds in books, emails, tweets, journals, blogs, images, sound and videos. They unlock meaning because they can reason through it, giving us new contexts to weigh and consider. Cognitive systems also learn continually, honing our own expertise so we can immediately take more informed actions. And they interact with us and with our customers, dissolving barriers between humans and machine, fueling unique, essential user experiences.