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| Section | Objectives |
|---|---|
| IBM Big Data & Analytics Portfolio | - IBM Cloud data and analytics solutions positioning - IBM analytics platforms and tools overview |
| Use Cases and Industry Applications | - Industry use cases for big data analytics - ROI and business impact storytelling |
| Big Data and Analytics Fundamentals | - Core concepts of big data (volume, velocity, variety) - Data analytics lifecycle and business value |
| Sales Value Proposition | - Mapping IBM solutions to customer needs - Identifying customer pain points and business drivers |
1. Typically social media is characterized as {structured or unstructured} data and is located {internal or external} to an organization. Choose the correct combination.
A) Structured - External
B) Unstructured - Internal
C) Unstructured - External
D) Structured - Internal
2. What is the problem Watson Explorer solves for our customer?
A) Organizations don't know what data they have. Watson Explorer can bring that data back into the Exploration, Archive and Landing Zone, discover the attributes then structure into trusted data.
B) Organizations need actionable information at the right time. Watson Explorer can find the right data, analyze it in real time then queue up actionable insight for the use inside and outside of the firewall.
C) Organizations are drowning in a sea of data. They know it possesses great value but are unsure how to tap into it. Watson Explorer is a great way to get started with that.
D) Organizations have multiple views of customer, product and enterprise. They wish a SINGLE view across each one of these domains. Watson Explorer can give them that.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C |
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