W5: Porter & Heppelmann (2015): How Smart, Connected Products are Transforming Companies Flashcards

1
Q

Study’s aim

A

Examines the external implications to the firm, looking in detail at how smart, connected products affect rivalry, industry structure, industry boundaries, and strategy. It explores the internal implications to the firm, how the nature of smart, connected products substantially changes the work of virtually every function within the manufacturing firm

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2
Q

Technology stack

A

New supporting technology infrastructure that required by smart, connected products. It provides a gateway for data exchange between the product and the user and integrates data from business systems, external sources, and other related products. It also serves as a platform for data storage and analytics. This enables new product capabilities

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3
Q

Big data analytics

A

Employ a family of new techniques to understand patterns that can often unearth powerful insights. A challenge is that the data from smart, connected products and related internal and external data are often unstructured

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4
Q

‘Data lake’

A

A repository in which disparate data streams can be stored in their native formats. This is the emerging solution for the challenge with big data analytics

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5
Q

Digital twin

A

A 3D virtual reality replica of a physical product. It allows to visualise the status and condition of a product that may be thousands of miles away. It also provides insights into how a product can be better designed, manufactured, operated, and serviced

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6
Q

Product cloud

A

Consists of smart product applications, rules/analytics engine, application platform, and a product data database

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7
Q

Network communication

A

The protocols that enable communications between the product and the cloud

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8
Q

Product software

A

An embedded operating system, onboard software applications, an enhanced user interface, and product control components

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9
Q

Product hardware

A

Embedded sensors, processors, and a connectivity port/antenna that supplement traditional mechanical and electrical components

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10
Q

External information sources

A

A gateway for information from external sources, e.g. weather, traffic, that informs product capabilities

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11
Q

Integration with business systems

A

Tools that integrate data from smart, connected products with core entire business systems, e.g. ERP, CRM

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12
Q

Identity and security

A

Tools that manage user authentication and system access, as well as secure the product, connectivity, and product cloud layers

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13
Q

Smart product applications

A

Software applications running on remote servers that manage the monitoring, control, optimisation, and autonomous operation of product functions

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14
Q

Rules/analytics engine

A

The rules, business logic, and big data analytical capabilities that populate the algorithms involved in product operation and reveal new product insights

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15
Q

Application platform

A

An application development and execution environment enabling the rapid creation of smart, connected business applications using data access, visualisation, and run-time tools

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16
Q

Product data database

A

A big-data database system that enables aggregation, normalisation, and management of real-time and historical product data

17
Q

Evergreen design

A

Smart, connected products are continuously upgraded via software

18
Q

Augmented reality applications

A

Tap into the product cloud and generate a digital overlay of the product through a smartphone or tablet

19
Q

Logistics

A

Involved the tracking of movement of production inputs, outputs, and delivery. Now, smart, connected products take tracking to a new level. It can be done continuously, wherever products are, and provides rich information about location, condition, and environment

20
Q

One-stop service

A

Because technicians can diagnose problems remotely, they can have the parts needed for repairs in their trucks the time they arrive

21
Q

Remote service

A

Smart, connected products make delivering services via connectivity increasingly feasible

22
Q

Preventive service

A

Using predictive analytics, organisations can anticipate problems in smart, connected products and take action

23
Q

Augmented-reality-supported service

A

The vast amounts of data that smart, connected products gather are creating new ways for service personnel to work individuallly, together, and with customers

24
Q

Hackers

A

Can take control of a product or tap into sensitive data that moves between the manufacturer and the cusomter

25
Software
Is becoming an essential part of products
26
Classic organisational structure
A manufacturing business is divided into functional units, e.g. R&D, sales, finance etc. This model is broken down with the emergence of smart, connected products. The need to coodinate across product design, cloud operation, service improvement, and customer engagement is continuous. Ongiong coordination is necessary. Functional roles overlap and blur
27
IT
Must assume a more central role. Currently, only IT has the skills to support the software-based technologies and related infrastructure that smart, connected products require. Various new business models are emerging. Some companies are embedding IT teams with R&D departments, or cross-functional product design teams that include IT representation
28
Unified data organisations
Because of the growing volume, complexity, and strategic importance of data, it is no longer desirable or feasible for each function to manage data by itself, build its own data analytics capability, or handle its own data security. Most companies are creating dedicated data groups and are responsible for making data insights available across functions and units
29
Development-operations groups (Dev-ops)
A collaborative, cross-functional software development and deployment method. It is a new functional group. It is responsible for managing and optimising the ongoing performance of connected products after they have left the factory
30
Customer success management
A new organisational unity responsible for managing the customer experience and ensuring that customers get the most from the product. It acts as the primary responsibility for customer relationships after sale. With smart, connected products, the product itself becomes a sensor that gauges the value customers are receiving
31
Stand-alone business unit
The unit aggregates talent and mobilises the technology and assets needed to bring such new offerings to market. It is free from the constraints of legacy business processes and organisational structures
32
Centre of excellence
A separate corporate unit houses key expertise on smart, connected products
33
Cross-business-unit steering committee
This approach involves convening a committee of thought leaders across the various business units, who champion opportunities, share expertise, and facilitate collaboration