—- **FOR NEW STUDENTS**————————————————

1. 🔊 What industry do you work in and what is your role?
2. 🔊 What are your responsibilities in your role/position?
3. 🔊 Can you describe to me the function of your workplace/company?
4. 🔊 How many departments, how many offices. National or International?
5. 🔊 What is the Minimum requirements for employment i.e Education or Experience?
6. 🔊 How many opportunities are there to ‘move up the ladder’?
7. 🔊 What is the process for changing job roles i.e Interview? Test?

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🔊 General discussion about your workweek:

1. 🔊 Current projects? Deadlines? Opportunities?
2. 🔊 Anything of interest happening?

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Listening

Key Words and Phrases

1. 🔊 Big Data. Analytics. We’ve all heard the buzzwords. But what do they really mean? And how can they help your business?
2. 🔊 Let’s start with definitions. Big data refers to the vast volumes and types of information that companies can now collect and process using increasingly high-tech systems.
3. 🔊 This comes from both internal sources — within your company — and external ones — customers, suppliers, and the broader market.
4. [responsivevoice voice="US English Female" buttontext=""]It is both structured — such as customer purchase data from retail stores — and unstructured — such as Internet search results — though all data has to be put into structured formats to be analyzed.
5. 🔊 Analytics is the use of math and statistics to derive meaning from data in order to make better business decisions.
6. 🔊 There are three kinds of analytics. Some are descriptive — for example dashboards, scorecards and alerts. They tell you what happened in the past, but not why it happened, or what might change.
7. 🔊 Predictive analytics are more useful: They use past data to model future outcomes — perhaps indicating how customers will respond to a marketing promotion or how sales will be affected by certain market conditions.
8. 🔊 Even better are prescriptive analytics, which use techniques like optimization or A-B testing to advise managers and workers on how best to do their jobs.
9. 🔊 They might tell a TV salesman the right discount to offer, a web designer which type of ad will elicit more clicks, or a truck driver where to stop for gas.
10. 🔊 When you combine big data with effective analytics, you have what Babson College professor Tom Davenport believes to be a key competitive advantage for organizations today.
11. 🔊 What capabilities does your organization need to succeed? One approach is the DELTA model: Data that is clean, accessible, and often unique to your company.
12. 🔊 An enterprise-wide focus, with key data systems and analytics resources available to the whole firm, not just isolated teams.
13. 🔊 Leaders at all levels that promote a data-and-analytics driven culture. Targets for key business areas that could benefit from this approach and talented analysts to execute the strategy.
14. 🔊 In a complex and dynamic business environment, big data and smart analytics are more than buzzwords.
15. 🔊 They’re an important way to improve decision making and ensure that your company is a step ahead of its competitors.

Discussion

1. 🔊 Do you have any experience collecting / analysing data?
2. 🔊 In what ways does your company collect data?
3. 🔊 Does your company use Descriptive, Predictive or Prescriptive analytics?
4. 🔊 What would you suggest to your company to optimise your workplace / staff?

Script