Reference no: EM133904005

Discussion Post: Demystifying Data Analytics

Data is often overlooked as a powerful tool and an asset that can provide a competitive advantage. When business leaders are unable or unwilling to adapt to data-driven methodologies for decision making, they lose this advantage. Here are some common reasons why this happens:

Leaders will review data and not trust it.

Managers will rely on their own experience.

I. Managers lack access to centralized data due to complications in using analytical tools.

II. Leadership doesn't value data in strategic decision making.

III. There is confusion about the opportunities that exist with blockchain or web 3.0, artificial intelligence, machine learning algorithms, among many other techniques.

IV. Leaders may not have experts on staff, or know that they are needed, to train computers to mine the data required to make good decisions.

V. Businesses lack data governance processes. Get the instant assignment help.

VI. You will begin bridging the gap between systems, data analysts, and leadership to strategically position the decisions you make.

VII. To navigate the data landscape, you need to do the following:

Identify the systems, people, and data.
Identify the problem the data are looking to solve.
Determine the frameworks to use.

I. Understand the key components of the frameworks.

II. To start this discussion, you will look at Artificial Intelligence by way of Artificial Neural Networks or A.N.N.'s.

III. Before answering your discussion board questions for the week, please take a moment to watch this video where A.N.N. struggles to understand the problem it needs to solve

IV. As you saw in the video with A.N.N, not only do you need to choose a system that can help you make strategic choices, you need to be completely clear about the problem that you are trying to solve. If you don't have a general baseline of the problem, the computer will not know it either. One way to teach A.N.N. what to do after you know what problem you're solving is to guide it with a linear regression. As you answer the following questions, keep in mind the best ways to teach A.N.N.

In your original post, answer the following:

A. What is an A.N.N.? Why is it important to know the problem you are trying to solve before turning to an analytical tool for answers?

B. How will knowing the underlying problem help you guide a computer system to mine data that aims to gather information on the problem that you are trying to solve?