Class 17 and 19 Flashcards

(27 cards)

1
Q

future of the distribution industry (3)

A
  • increased use of alternate sourcing (less overseas)
  • shrinking workforce
  • more technology (robotics, AI)
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2
Q

concerns of distributors in 2023 and 2024 (5)

A
  • supply chain and inventory
  • customer spending and market demand
  • economic uncertainty and recession
  • labor/staffing
  • pricing, inflation, and costs
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2
Q

how to play offense in defensive time (5)

A
  • evaluate last price paid
  • invest in innovation
  • react to threats and opportunities quickly
  • get a better buy price
  • make a value creation plan with key suppliers
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3
Q

geopolitical unrest countries (7)

A
  • Israel
  • Ukraine
  • Russia
  • China
  • Iran
  • north Korea
  • Mexican cartels
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4
Q

its not what you know, its…

A

what you do with what you know

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5
Q

why business analytics?

A
  • bridges the gap between what is currently happening and what do you want to happen
  • helps identify the problem
  • provides tools to help solve the problem
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6
Q

4 reasons to use analytics

A
  • measure company performance
  • make better decisions
  • understand your customers activity
  • give customers exactly what they want
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7
Q

definition of business analytics

A

practice of iterative methodical exploration of an organizations data with emphasis on statistical analysis. DATA DRIVEN DECISION MAKING

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8
Q

value of business analytics to a distributor (3)

A
  • tell you what has happened
  • helps you determine what you want to happen
  • provides a path to your desired destination
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9
Q

three types of business analytics

A
  • descriptive
  • predictive
  • prescriptive
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10
Q

question answered by descriptive analytics

A

what has happened?

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11
Q

question answered by predictive analytics

A

what will happen?

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12
Q

question answered by prescriptive analytics

A

what should we do?

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13
Q

successful business analytics depends on…

A

data quality, skilled analysts, and commitment

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14
Q

What are tools for descriptive analytics (5)

A
  • reporting
  • dashboards
  • scorecards
  • segmentation
  • clustering
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15
Q

What are tools for predictive analytics (3)

A
  • data mining
  • modeling
  • forecasting
16
Q

What are tools for prescriptive analytics (3)

A
  • optimization
  • simulation
  • big data analysis
17
Q

4 analytics challenges

A
  • not having complete data
  • not factored into budget
  • we are already successful, why do we need analytics attitude
  • we dont have the bandwidth to implement
18
Q

top reasons for using analytics (4)

A
  • gain competitive edge
  • make better informed decisions
  • build better strategy
  • knowledge and experience are no longer sufficient
19
Q

top challenges to making business analytics work

A
  • not focused on what really important (customers & products = profit)
  • data not present in relevant manner
  • ERP not set up to make data easily accessible
20
Q

7 Practical steps for making business analytics work

A

1) expand the use of business analytics where feasible
2) integrate analytics across organization
3) deploy analytics on specific business tasks
4) create a management strategy that includes ready access to data
5) deliver and communicate value
6) hire and develop the right analytical talent
7) use business analytics in decision making process

21
Q

3 usual analytics

A
  • financials
  • sales
  • inventory
22
Q

this is why we use business analytics to make…

A

better informed decisions and integrate technology to enhance our operations as a distributor

23
Q

why is business analytics important? (5)

A
  • decreased risk with strategic decision-making
  • reveal growth opportunities
  • strategies can be built to increase operational efficiencies
  • can aid in effective human resources decisions
  • improve productivity
24
definition of descriptive analytics
the use of data to find out what happened in the past, and what is happening now
25
descriptive analytics can help to identify ____ & ______
strengths and weaknesses
26
what does diagnostic analytics answer
the why of descriptive analytics