BCG Rise - DTCM07

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====== Week 005 ======

===== Thursday 22 July 2021 =====

==== elearning - Introduction to Business Analytics ====

==== John David Ariansen and Madecraft ====

Data sources:
  * Internal
    * Sales
      * Breakdown to: demographics, geographic, time, product category, average sale
    * Cost
      * Fixed
      * Variable
    * Marketing
    * Psychometric
  * External
    * Market Reports
      * Market players
      * Size of market
      * High-level data points
    * Market Research
      * Behavourial patterns
      * Buyer personas

Data governance: ensure quality of data assets

Causes of data quality issues:
  * Data collection: Manual, lack of index field
  * System integration (different data format across systems)
  * Missing data

Tools/Applications:
    * Sales: Square, Stripe, Clover
    * Cost: Quickbooks
    * Marketing: Google Analytics, Salesforce
    * Psychometric: Google Forms, Qualtrics, Social Media data, focus groups

Data Management tools:
  * MS Excel
  * Tableau
  * PowerBI
  * MS SQL Server

==== Ghorra Paul ====

BCG Report "Putting AI to Work", Sept 2017 https://www.bcg.com/publications/2017/technology-digital-strategy-putting-artificial-intelligence-work

Shipping container routing: https://youtu.be/QQmZiQfeVNw
===== Wednesday 21 July 2021 =====

==== e-learning - Digital Enablers - AI, IoT, Cybersecurity, DDP, Cloud ====

=== AI ===

* Symbolic Reasoning/Planned AI
    * Abstract problems, but know steps
  * Machine Learning
    * Look for patterns
  * Artificial neural networks

== Approaches ==

* Match patterns
  * Data vs reasoning
  * Unsupervised learning
    * Machines creates categories based on similarities it detects, may be different from human categories
  * Deep learning
  * Clustering
  * Backpropagation
    * Allows later feedback to go back and adjust earlier rules/algorithms, error corrections
  * Regression

=== IoT ===

== Business View ==

* Software-defined product
  * Hardware-defined product
  * Network fabric
  * External system interface

== Software-defined product ==

* Cyber Model
    * digital simulation of the product's functionalities
    * represented by statistics
  * Application
    * Functionality
    * Human interface
    * Data interface

* IoT value modeling

== Hardware-defined product ==
  * Connected sensors and actuators
    * sensor gathers data
      * transducer
    * actuators makes physical changes
  * Embedded system
    * gathers data
    * packages data
    * sends data (over the OT Network) to application
    * may also process application, analytics, security

* Mist computing vs cloud computing

== Network fabric ==

* OT (Operational technology) network
  * IT network
  * Backhaul
  * Internet (public cloud)
  * Product cloud (private)

* IoT protocol
    * Payload: data from sensors
    * Application protocol: provides info context to payload
    * Network protocol: data info to move it along its path
    * Media protocol: allows it to be sent over the air

== External system interface ==

* Analytics
  * Data services
  * Business systems
  * Other IoT products

=== Cybersecurity ===

* Many different types of cybersecurity breaches
    * Phishing
    * Malware
    * DDoS
    * Brute force attack
    * Physical breach
  * Financial and reputation harm
  * Cybersecurity spending growths 10x slower than number of attacks
  * Getting the people part is critical
    * People account for 72% of breaches

=== DDP: Data & Digital Platform ===

* Company's Vision
  * Identify concrete and profitable use cases to fund the long-term and incremental transformation
  * Build data driven organisation to enable use cases
  * NG architecture to migrate legacy business logic and data incrementally onto new digital and data platform 
  * Master key technologies such as datalake, fueled by legacy and new data sources
  * Governance, Organisation, Training

=== Cloud ===

Shift to the cloud driven by changes in technology economics
  * Changes are here to stay

Different possibilities to leverage cloud services: choose wisely
  * Infrastructure
  * Platform
  * Software
  * Business Processes

Potential to reduce TCO
  * Don't forget Maintenance, upgrades, re-migrations

Hyperscalability for the future
  * Reduces upfront costs for uncertain initiatives
  * Allows scalability for wildly successful ones
  * Can scale back if the fad has passed

===== Monday 19 July 2021 =====

==== Grantly Mailes ====

=== Data and Digital Disruption ===

Technological Ages
  * Desktop: MS
  * Internet: Amazon, Google
  * Mobile
  * Data

* Artificial Intelligence: handle uncertainty
  * Internet of Things (IoT)
  * Blockchain
    * https://youtu.be/xfXzvoW_rcI
  * Data and Digital platform
    * Data Lakes is next-gen Data Warehouses
    * (frm Google) A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose.
  * Cloud Computing
  * Cybersecurity

=== Digital Transformation: The Bionic Company ===

Strategy and Purpose
  * Purpose
    * Human potential
    * Organisation
    * Ecosystem
    * Societal
  * Customer centric

Outcomes
  * Customer
  * Operational
  * New offers/innovations

Human

Technology: Data and Digital Platform

BCG-KLM Partnership: https://youtu.be/Ad31TwLJCPA

==== e-Learning ====

Digital Transformation

* Digitisation: Conversion of analogue or physical information to digital format
  * Digitalisation: Use of digital technologies to enable or improve business models and processes
  * Digital Transformation: Coordinated change effort at scale, diffused through all aspects of the business
  * Digitally Active: Transactional solutions to increase revenue
  * Digitally Engaged: Solutions and processes
  * Digitally Mature: Artificial intelligence solutions
  * Investigate new technologies
  * Work with customers
    * Events and focus groups
    * Share insights
    * Get suggestions
    * Identify modifications to existing plans
  * Identify outgrowths
  * Refresh plans frequently

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