FinTech For Dummies®
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Table of Contents
Cover
Introduction
About This Book
Foolish Assumptions
Icons Used in This Book
Beyond the Book
Where to Go from Here
Part 1: Getting to Know FinTech
Chapter 1: Navigating the FinTech Landscape
What Is FinTech, Anyway?
Analyzing FinTech’s Dimensions
Understanding What Has Changed in FinTech
Highlighting the Size of Global FinTech
Discovering a Few Important FinTech Terms
Chapter 2: Understanding What’s Disrupting the Financial Industry (and Why)
Providing Trust and Value
Weighing Wall Street against Silicon Valley: Where Disruptors Live
Examining the Role of BigTech
Understanding Where the Disruptions Are Happening
Looking for the Opportunities
Chapter 3: The Role of Regulation in FinTech
Supervising FinTech
Examining Vendor Risk Issues
Introducing the Regulators
Investigating Regulatory Changes
Highlighting RegTech Opportunities
Part 2: Learning the Technology
Chapter 4: Defining the Tech Underpinning FinTech
Finding a Fix in FinTech
Creating API Strategies
Understanding Event-Driven Software
Building on Agile: Microservices and More
Bundling Efficiencies: Batch Processing
Improving Data Management
Working with CPUs and GPUs
Choosing a Programming Language
Chapter 5: Confronting the Compute Conundrum
Determining Compute Requirements
Making Sense of DApps
Understanding Quantum Computing
Chapter 6: Calling Up the Cloud
Getting to Know the Cloud
Developing an Optimal Cloud Strategy
Understanding Privacy Compliance and Government Requirements
Seeing How FinTech Helps with Cloud Strategies
Chapter 7: Understanding Blockchain beyond Bitcoin
Understanding the Basics of Blockchain
Discovering How Blockchain Technology Works
Looking at Blockchain’s Role in FinTech
Chapter 8: Acclimating to the App Mentality
Introducing Types of FinTech Apps
Surveying the FinTech App Landscape
Looking at the Nonretail Side of FinTech Apps
Building a GUI Framework
Establishing the Requirements Needed in the Development of an App
Chapter 9: Breaking Down BI Tools
Taking a Strategic Approach to BI
Exploring BI Tools
Choosing the Right BI Tools for FinTech
Chapter 10: Reviewing the Role of Open Source
Defining Open Source
Looking at Open Source Development Processes
Perusing the Pros of Open Source
Considering the Cons of Open Source
Evaluating Open Source Solutions
Chapter 11: Grasping Data Management Fundamentals
Looking at FinTech’s Role in Helping Companies Manage Their Data
Understanding ETL: Extract, Transform, and Load
Managing Market Data
Dealing with Databases
Maintaining Data Lineage
Breaking Down Big Data
Differentiating between Structured and Unstructured Data
Comparing SQL and NoSQL
Chapter 12: Adapting for Future Technologies
Harnessing the Power of Artificial Intelligence
Leveraging Machine Learning
Making the Most of Chat Bots
Checking Out Alternative Data Sources
Part 3: Working with FinTech Companies
Chapter 13: Deciding Whether to Build, Buy, or Partner
Transforming Your Company Digitally
Exploring Reasons to Build or Buy
Finding a FinTech Partner
Describing the Licensing Models
Chapter 14: Managing Integration with Legacy Systems
Understanding and Tackling the Challenges of Legacy Infrastructures
Walking through the Technical Steps of Updating a Legacy System
Simplifying Integration with Microservices Architecture
Chapter 15: Preparing Your Team for a Successful Project
Assembling a Transformation Team
Setting Realistic Expectations and Timelines
Supporting Change Agents
Retaining Good Employees during Change
Understanding Data-Driven Decision-Making
Breaking the Silos
Chapter 16: Investing in FinTech Companies
Understanding the Players
Navigating the Investor Landscape
Conducting Due Diligence
Evaluating a Company’s Growth Strategies
Considering a Company’s Culture
Chapter 17: Figuring Out the FinTech Endgame
Bringing the Board Up to Speed on FinTech
Looking into the Future of FinTech
Identifying Industry-Driven Networks, Accelerators, and Incubators
Mulling Over Mergers and Acquisitions
Part 4: The Part of Tens
Chapter 18: Ten Symptoms of Ailing Legacy Technology
A Band-Aid Overload
A Lack of Backward Compatibility
Incompatibility with Other Systems
Disparate Data
Spreadsheet Risk
Latency
Increasing Demand for Support and Maintenance
Short-Term Gains and Long-Term Pains
A Shrinking Talent Pool
Lost Market Opportunities
Chapter 19: Ten Questions for Determining Whether to Build or Buy
Is This Functionality Core to Our Business?
Is the Application Unique?
Which Approach Is More Cost-Effective?
Should This Application Be Built?
What Are the Risks of Building versus Buying?
When Does Open Source Make Sense?
When Does Building Make Sense?
How Can We Accelerate a Build?
When Does Buying Make Sense?
How Do We Select a Vendor and a Product?
Chapter 20: Ten Considerations When Using Open Source Technology
Your Business Model
Open Source Community Health
Tech Support
Security
Code Audits
Reliability
Hidden Costs
Updates and Upgrades
Potential Hardware Impact
Legal Considerations
Appendix: Building a FinTech Company from the Ground Up
Writing a Business Plan
Developing a Prototype
Operating Off the Grid
Raising Capital
‘The future of Fintech post the Corona crisis?’
Index
About the Authors
Advertisement Page
Connect with Dummies
End User License Agreement
List of Tables
Chapter 3
TABLE 3-1 RegTech Challenges and Required Technology
Chapter 6
TABLE 6-1 Public Clouds versus Private Clouds
Chapter 7
TABLE 7-1 Blockchain Network Types
Chapter 9
TABLE 9-1 General BI Applications
TABLE 9-2 Niche BI Applications
Chapter 13
TABLE 13-1 Building versus Buying
Chapter 14
TABLE 14-1 Personnel in an Integration Project
Chapter 18
TABLE 18-1 Developers with COBOL Skills
List of Illustrations
Chapter 1
FIGURE 1-1: The Fintech Cube combines financial sector, business model, and tec...
FIGURE 1-2: Key areas of financial services that benefit from FinTech.
FIGURE 1-3: A dimension of main business models.
FIGURE 1-4: The key technologies used to achieve change.
FIGURE 1-5: FinTech hubs are globally diversified.
FIGURE 1-6: A 2019 drop in global FinTech investment.
FIGURE 1-7: FinTech investment in Europe and North America continued to increas...
Chapter 2
FIGURE 2-1: An overview of the global ranking of FinTech centers relative to fu...
Chapter 4
FIGURE 4-1: Delivering dinner via APIs versus source code.
FIGURE 4-2: A simple procedural workflow.
FIGURE 4-3: The breakdown of a simple workflow into mini-programs.
FIGURE 4-4: The use of a handler for the most efficient distribution of instruc...
FIGURE 4-5: A waterfall development cycle with corollary marketing and training...
FIGURE 4-6: The breakdown of large components into small, decoupled microservic...
FIGURE 4-7: A typical microservices team and the functions they perform.
FIGURE 4-8: A complex deployment of microservices.
FIGURE 4-9: The tension between the velocity and accuracy of data.
FIGURE 4-10: An example of data management services’ input and output.
FIGURE 4-11: The speedup of a Monte Carlo simulation using CPU versus GPU.
FIGURE 4-12: The accelerated speed of GPU over multiple paths.
Chapter 5
FIGURE 5-1: A DDS versus the conventional single source of truth.
FIGURE 5-2: The workflow of a Bitcoin transaction.
FIGURE 5-3: In a qubit, the orbits can spin counterclockwise and clockwise simu...
FIGURE 5-4: Quantum risk analysis speedup.
Chapter 6
FIGURE 6-1: A summary of key differences and examples of each type of cloud ser...
FIGURE 6-2: Cloud computing deployment models.
FIGURE 6-3: A hybrid cloud network.
FIGURE 6-4: Scaling on the fly via an automated listener.
FIGURE 6-5: Efficiencies offered by the use of hypervisors.
Chapter 7
FIGURE 7-1: Differences between hard and soft forking.
Chapter 8
FIGURE 8-1: The relationship between the user, the user interface, and the APIs...
Chapter 9
FIGURE 9-1: An example of an OLAP cube.
FIGURE 9-2: An example of what a data storage environment looks like and how it...
FIGURE 9-3: A simple data warehouse process.
FIGURE 9-4: A complex data warehouse structure with workflows.
Chapter 10
FIGURE 10-1: An open source nonlinear development process.
FIGURE 10-2: An open source development structure from conception through large...
Chapter 11
FIGURE 11-1: An example of ETL workflow.
FIGURE 11-2: Methods of data normalization and cleansing.
FIGURE 11-3: The input of raw data into a data lake and the distribution of tha...
Chapter 12
FIGURE 12-1: An interneuron in the central nervous system.
FIGURE 12-2: A representation of an artificial neural network (ANN) that is a f...
FIGURE 12-3: Three classes of machine learning.
Chapter 14
FIGURE 14-1: The configuration and workflow differences between legacy systems ...
FIGURE 14-2: The variables that must be addressed to assure a successful migrat...
FIGURE 14-3: The steps that can be taken in a migration and the increase in eff...
Guide
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Table of Contents
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