Week 7 - Roadmap and conclusions Flashcards

1
Q

We use data in business to: (2)

A
  1. become more competitive through changes in strategy and direction
  2. Achieve improvements in efficiency and effectiveness
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2
Q

measuring gap approach (3)

A
  1. running focus groups of professionals and evaluating subjective measures of the present situation vs. the desired capabilities to achieve the vision
  2. x-axis: capability
  3. y-axis: dimension
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3
Q

IT Strategic Impact Grid (Nolan and McFarlan) (4)

A
  1. Strategic (high reliability, high novelty)
  2. Turnaround (low reliability, high novelty )
  3. Factory (high reliability, low low novelty)
  4. Support (low reliability, low novelty)
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4
Q

Support Mode (low reliability - low novelty) (3)

A
  1. no serious consequence even with repeated IT disruptions
  2. Mantra: “don’t waste money”
  3. Example: restaurant/ clothing store
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5
Q

Factory Mode (high reliability - low novelty) (3)

A
  1. even momentary IT disruption can lead to immediate loss of business
  2. Mantra: “don’t cut corners”
  3. Example: airlines
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6
Q

Turnaround Mode (3)

A
  1. new technology promises major process and service improvements, cost reductions, and a competitive change
  2. Mantra: “don’t screw up”
  3. R&D. Once solution is developed. The mode could change
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7
Q

Strategic Mode (high reliability - high novelty) (3)

A
  1. “innovation is the name of the game”
  2. Mantra: “spend what it takes, and monitor the results like crazy”
  3. Example: the four horsemen: Amazon, Google, Apple, Facebook
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8
Q

Porfolio (3)

A
  1. based on analysis, we can create a portfolio of data initiatives
  2. cluster based on capability (e.g., all initiatives regarding data security)
  3. cluster based on dimension (e.g. every DM project related to users)
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9
Q

Execution (2)

A
  1. one projects are selected and implemented the new “as is” situation needs to be evaluated to decide on the next projects
  2. even if implemented, it is only successful if end-users adopt it
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10
Q

change management within company (3)

A
  1. New procedures and workflows
  2. transforms services
  3. brings more transparency in reporting (increases control)
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11
Q

change management between companies

A

Changes the customer-supplier relationships and partnerships

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12
Q

Endowment Effect (3)

A
  1. the major reason for resisting change is due to users overestimating the value of things they currently own
  2. Kahneman and Tversky’s work - losses loom larger than gains
  3. consumers value their holdings three times more than the actaul value - same with users of existin systems and practices
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13
Q

Change Magnitude (4)

A
  1. long haul (high required behavioral change - high utility)
  2. home run (low required behavioral change - high utility)
  3. strike out (high required behavioral change - low utility)
  4. tinkering (low required behavioral change - low utiltity)
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14
Q

Transition Strategies (Gourville 2004) (5)

A
  1. Target new users to a technology (the unattached/unendowed)
  2. Make it behavioraly compatible for the attached/ endowed
  3. find believers
  4. what features are most useful? painful?
  5. how is the new system addresssing those?
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15
Q

Effective Data Management

A
  1. through effective data management, better decisions could be made that may improve the company’s competitiveness
    purpose:
  2. geting a grip on the data landscape and implementing the right audit, governance, and security controls
  3. finding ways to create strategic value
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16
Q

van Gils recommendations (3)

A
  1. put people first: building DM capabilities collaboration between stakeholders and end users. Building business cases, correct analysis, and change management
  2. Take an iterative and incremental appraoch: portfolio of DM initiatives could be extensive. With the changing landscape, the solutions need to continuously change it
  3. Do not reinvent the wheel: considering the complexity and pace of change, using and learning form existing practices helps
17
Q

Value of IT investment (ROI)

A
  1. “The relationship between IT and productivity is widely discussed but little understood”
18
Q

IT productivity paradox

A

benefits of IT spending do not (immediately) show up in aggregate output statistics

19
Q

types of returns (2)

A
  1. direct

2. intangible

20
Q

direct returns (2)

A
  1. for some IT investments, the return can be isolated and directly attributed to the IT
  2. Example: Chrysler implemented an electronic data interchange (EDI) application with suppliers. Reductions in cost are directly attributed to IT
21
Q

intangible returns

A

FedEx online tracking reduces the cost of maintaining toll-free customer service center. The convenience also builds customer loyalty, which is an intangible return.

22
Q

IT ROI Challenges (3)

A
  1. Brynjolfsson and Saunders argue that it takes up to 5 years to see the returns
  2. What investments should be considred
    i. IT infrastructure
    ii. IT integration and penetration in the company
  3. Calculating intangible returns are difficult, if not possible