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Where Finance and IT Meet

   Prof.dr. Eddy Vaassen RA
Strategic technology

• Gartner defines a strategic technology as
  one that has the potential for significant
  impact on the enterprise in the next three
  years
• Factors that denote significant impact
  include a high potential for disruption to IT
  or the business, the need for major
  investments, or the risk of being late to
  adopt
Strategic IT trends

• Micro analysis
• IT organization
• IT control
Strategic IT trends 2008-2013 (Gartner)
2008                2009                2010                2011                2012                2013
1. Green IT         1. Virtualization   1. Cloud            1. Cloud            1. Media tablets    1. Mobile device
                                        Computing           Computing           and beyond          battles


2. Unified          2. Cloud            2. Advanced         2. Mobile           2. Mobile-centric   2. Mobile
communications      Computing           analytics           applications and    applications and    applications and
                                                            media tablets       interfaces          HTML5
3. Business         3. Servers          3. Client           3. Social           3. Contextual       3. Personal
Process             beyond blades       computing           communication       and social user     cloud
Modeling                                                    and collaboration   experience

4. Metadata         4. Web-Oriented     4. IT for green     4. Video            4. Internet of      4. Enterprise
management          Architectures                                               Things              app stores


5. Virtualization   5. Enterprise       5. Reshaping        5. Next             5. App stores       5. Internet of
2.0                 mashups             the data center     generation          and market          Things
                                                            analytics           places

6. Mashups and      6. Specialized      6. Social           6. Social           6. Next             6. Hybrid IT and
composite apps      systems             computing           analytics           generation          Cloud
                                                                                analytics           Computing

7. Web platform     7. Social           7. Security by      7. Context-         7. Big Data         7. Strategic Big
and WOA             software and        activity            aware                                   Data
                    networking          monitoring          computing

8. Computing        8. Unified          8. Flash            8. Storage class    8. In-Memory        8. Actionable
Fabric              communications      memory              memory              Computing           analytics


9. Real World       9. Business         9. Virtualization   9. Ubiquitous       9. Extreme low      9. In-Memory
Web                 Intelligence        for availability    computing           energy servers      Computing


10. Social          10. Green IT        10. Mobile          10. Fabric-based    10. Cloud           10. Integrated
software                                applications        infrastructure      Computing           ecosystems
                                                            and computers
Top 10 IT predictions

• Macro analysis
• C-suite
• Interactive control systems
Cloud Computing or a variant is
           pervasive
• The term ‘Cloud Computing’ was
  considered trending for the first time in
  2009
• But before there were variants or related
  concepts, including ASP, Utility Computing,
  Web Oriented Architectures, and web
  platform
• There will be variants such as client
  computing and hybrid IT
Blade server
• A blade server is a server chassis housing multiple thin,
  modular electronic circuit boards, known as server blades.
  Each blade is a server in its own right, often dedicated to a
  single application
• The blades are literally servers on a card,
  containing processors, memory, integrated network
  controllers, an optional Fiber Channel host bus adaptor
  (HBA) and other input/output (IO) ports
Computing fabric
• Usually this refers to a consolidated high-
  performance computing system consisting of
  loosely coupled storage, networking and parallel
  processing functions linked by high bandwidth
  interconnects
• In the context of data centers it means a move
  from having distinct boxes for handling storage,
  network and processing towards a fabric where
  these functions are much more intertwined or
  even integrated
Big Data
• Big Data is moving from a focus on individual projects
  to an influence on enterprises' strategic information
  architecture
• Dealing with data volume, variety, velocity and
  complexity is forcing changes to many traditional
  approaches
• This realization is leading organizations to abandon
  the concept of a single enterprise data warehouse
  containing all information needed for decisions
• Instead they are moving towards multiple systems,
  including content management, data warehouses,
  data marts and specialized file systems tied together
  with data services and metadata, which will become
  the logical enterprise data warehouse
In-memory computing
• In-memory computing is the storage of information in
  the main random access memory (RAM) of dedicated
  servers rather than in complicated relational
  databases operating on comparatively slow disk drives
• In-memory computing helps business customers,
  including retailers, banks and utilities, to quickly
  detect patterns, analyze massive data volumes on the
  fly, and perform their operations quickly
• The drop in memory prices in the present market is a
  major factor contributing to the increasing popularity
  of in-memory computing technology
• This has made in-memory computing economical
  among a wide variety of applications
Finance and IT

• Meet in between the mentioned IT trends and
  the IT predictions
• It’s not about the technology, but about what
  we can do with that technology
• E.g.,
  –   Accounting: XBRL, data mining, Big Data, analytics
  –   Auditing: continuous auditing
  –   Internal control: process mining
  –   Finance: social media data as market information
The language of IT

• Complaints by financials: the IT people
  don’t speak my language
• Complaints by IT personnel: the financials
  don’t speak my language
• So, Finance has to learn to speak IT and
  IT has to learn to speak Finance ..... To a
  certain degree
• A mix of cross-learning and specialization
  may be a bettter solution
So, where do finance and IT
          meet?



           CFO                              CIO




Head of
                              Information
Admini-          Controller                       Head of IT
                                Manager
stration
Three models

1. Cross-learning:
  a. Increase IT knowledge of the Controller
  b. Increase finance knowledge of the Information
     Manager
2. Specialization:
  a. Keep knowledge in silos
  b. Coordinate at the C-level
3. A mix of cross-learning and specialization:
  a. Create a common knowledge base
  b. Specialize from a certain level
Increase IT knowledge of the
          Controller



           CFO                              CIO




Head of
                              Information
Admini-          Controller                       Head of IT
                                Manager
stration
Increase finance knowledge of the
      Information Manager



              CFO                              CIO




   Head of
                                 Information
   Admini-          Controller                       Head of IT
                                   Manager
   stration
Coordinate at the C-level



                CFO      CIO




Head of
                        Information
Admini-    Controller                 Head of IT
                          Manager
stration
Takeaways
• Towards heterogeneous systems within integrated
  ecosystems
• IT will deliver what the business needs
• Finance talks on behalf of the business
• Finance needs a common body of knowledge with IT
  (on top of its common body of knowledge with the
  business)
• No technology knowledge, just IT potential and
  terminology
• Information manager at first sight is the intermediary,
  but he is just the person who knows just a little bit of
  everything, but in no field knows enough
• The financial (controller) needs substantially more IT
  knowledge in an age of dramatic IT proliferation
Where finance and it meet

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Where finance and it meet

  • 1. Where Finance and IT Meet Prof.dr. Eddy Vaassen RA
  • 2. Strategic technology • Gartner defines a strategic technology as one that has the potential for significant impact on the enterprise in the next three years • Factors that denote significant impact include a high potential for disruption to IT or the business, the need for major investments, or the risk of being late to adopt
  • 3. Strategic IT trends • Micro analysis • IT organization • IT control
  • 4. Strategic IT trends 2008-2013 (Gartner) 2008 2009 2010 2011 2012 2013 1. Green IT 1. Virtualization 1. Cloud 1. Cloud 1. Media tablets 1. Mobile device Computing Computing and beyond battles 2. Unified 2. Cloud 2. Advanced 2. Mobile 2. Mobile-centric 2. Mobile communications Computing analytics applications and applications and applications and media tablets interfaces HTML5 3. Business 3. Servers 3. Client 3. Social 3. Contextual 3. Personal Process beyond blades computing communication and social user cloud Modeling and collaboration experience 4. Metadata 4. Web-Oriented 4. IT for green 4. Video 4. Internet of 4. Enterprise management Architectures Things app stores 5. Virtualization 5. Enterprise 5. Reshaping 5. Next 5. App stores 5. Internet of 2.0 mashups the data center generation and market Things analytics places 6. Mashups and 6. Specialized 6. Social 6. Social 6. Next 6. Hybrid IT and composite apps systems computing analytics generation Cloud analytics Computing 7. Web platform 7. Social 7. Security by 7. Context- 7. Big Data 7. Strategic Big and WOA software and activity aware Data networking monitoring computing 8. Computing 8. Unified 8. Flash 8. Storage class 8. In-Memory 8. Actionable Fabric communications memory memory Computing analytics 9. Real World 9. Business 9. Virtualization 9. Ubiquitous 9. Extreme low 9. In-Memory Web Intelligence for availability computing energy servers Computing 10. Social 10. Green IT 10. Mobile 10. Fabric-based 10. Cloud 10. Integrated software applications infrastructure Computing ecosystems and computers
  • 5. Top 10 IT predictions • Macro analysis • C-suite • Interactive control systems
  • 6. Cloud Computing or a variant is pervasive • The term ‘Cloud Computing’ was considered trending for the first time in 2009 • But before there were variants or related concepts, including ASP, Utility Computing, Web Oriented Architectures, and web platform • There will be variants such as client computing and hybrid IT
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. Blade server • A blade server is a server chassis housing multiple thin, modular electronic circuit boards, known as server blades. Each blade is a server in its own right, often dedicated to a single application • The blades are literally servers on a card, containing processors, memory, integrated network controllers, an optional Fiber Channel host bus adaptor (HBA) and other input/output (IO) ports
  • 16. Computing fabric • Usually this refers to a consolidated high- performance computing system consisting of loosely coupled storage, networking and parallel processing functions linked by high bandwidth interconnects • In the context of data centers it means a move from having distinct boxes for handling storage, network and processing towards a fabric where these functions are much more intertwined or even integrated
  • 17. Big Data • Big Data is moving from a focus on individual projects to an influence on enterprises' strategic information architecture • Dealing with data volume, variety, velocity and complexity is forcing changes to many traditional approaches • This realization is leading organizations to abandon the concept of a single enterprise data warehouse containing all information needed for decisions • Instead they are moving towards multiple systems, including content management, data warehouses, data marts and specialized file systems tied together with data services and metadata, which will become the logical enterprise data warehouse
  • 18. In-memory computing • In-memory computing is the storage of information in the main random access memory (RAM) of dedicated servers rather than in complicated relational databases operating on comparatively slow disk drives • In-memory computing helps business customers, including retailers, banks and utilities, to quickly detect patterns, analyze massive data volumes on the fly, and perform their operations quickly • The drop in memory prices in the present market is a major factor contributing to the increasing popularity of in-memory computing technology • This has made in-memory computing economical among a wide variety of applications
  • 19. Finance and IT • Meet in between the mentioned IT trends and the IT predictions • It’s not about the technology, but about what we can do with that technology • E.g., – Accounting: XBRL, data mining, Big Data, analytics – Auditing: continuous auditing – Internal control: process mining – Finance: social media data as market information
  • 20. The language of IT • Complaints by financials: the IT people don’t speak my language • Complaints by IT personnel: the financials don’t speak my language • So, Finance has to learn to speak IT and IT has to learn to speak Finance ..... To a certain degree • A mix of cross-learning and specialization may be a bettter solution
  • 21. So, where do finance and IT meet? CFO CIO Head of Information Admini- Controller Head of IT Manager stration
  • 22. Three models 1. Cross-learning: a. Increase IT knowledge of the Controller b. Increase finance knowledge of the Information Manager 2. Specialization: a. Keep knowledge in silos b. Coordinate at the C-level 3. A mix of cross-learning and specialization: a. Create a common knowledge base b. Specialize from a certain level
  • 23. Increase IT knowledge of the Controller CFO CIO Head of Information Admini- Controller Head of IT Manager stration
  • 24. Increase finance knowledge of the Information Manager CFO CIO Head of Information Admini- Controller Head of IT Manager stration
  • 25. Coordinate at the C-level CFO CIO Head of Information Admini- Controller Head of IT Manager stration
  • 26. Takeaways • Towards heterogeneous systems within integrated ecosystems • IT will deliver what the business needs • Finance talks on behalf of the business • Finance needs a common body of knowledge with IT (on top of its common body of knowledge with the business) • No technology knowledge, just IT potential and terminology • Information manager at first sight is the intermediary, but he is just the person who knows just a little bit of everything, but in no field knows enough • The financial (controller) needs substantially more IT knowledge in an age of dramatic IT proliferation

Notas del editor

  1. Unified communications = IP telephonyMetadata management = also data mining and process miningWeb platform and Web-Oriented Architectures = Cloud ComputingComputing fabric = building blocks for computer hardwareReal World Web = augmented reality (example: printed route versus GPS system navigation)Context-aware computing = differential performance peakingMedia tablets and beyond = BYODUbiquitous (everything and everywhere) computing = Internet of ThingsSecurity by activity monitoring = continuous monitoringIn-Memory Computing = solid state driveIT for green = het nieuwe werken