M5

Question 1

Challenges Implementing a Big Data and Analytics Solution

Answer 1

• Data Quality
• Understanding Analytics
• Quality Assurance
• Performance
• Designing the Solution
• User Acceptance
• Cost

Question 2

When a data warehouse tries to combine inconsistent data from disparate sources, it encounters what?

Answer 2

errors

Question 3

Data quality challenges

Answer 3

• Inconsistent data
• Duplicates
• Logic conflicts
• Missing data

Question 4

It results in faulty reporting and analytics necessary for optimal decision making.

Answer 4

Poor data quality

Question 5

In a credit union, data is coming from many disparate sources from all facets of the organization.

Answer 5

Data Quality

Question 6

The powerful analytics tools and reports available through
integrated data will provide credit union leaders with the ability to make precise decisions that impact the future success of their organizations.

Answer 6

Understanding Analytics

Question 7

The end user of a Big Data & Analytics solution is using reporting and analytics to make the best decisions possible.

Answer 7

Quality Assurance

Question 8

Implementing a Big Data & Analytics solution is similar to building a car. A car must be carefully designed from the beginning to meet the purposes for which it is intended. Yet, there are options each buyer must consider to make the vehicle truly meet individual performance needs.

Answer 8

Performance

Question 9

People generally don’t want to “waste” their time defining the requirements necessary to properly design Big Data & Analytics solution.

Answer 9

Designing the Solution

Question 10

People are not keen to changing their daily routine especially if the new process is not intuitive.

Answer 10

User Acceptance

Question 11

A frequent misconception among credit unions is that they can develop a Big Data & Analytics solution in-house to save money.

Answer 11

Cost