Self-service analytics and its pros and cons. Self-service analytics includes training, techniques, and processes that empower end users to work independently to access data from approved sources to perform their own analyses using an endorsed set of tools. In the past, such data analysis could only be performed by data scientists. Self- service analytics encourages nontechnical end users to make decisions based on facts and analyses rather than intuition. Pros associated with self-service BI and analytics. 1. Gets valuable data into the hands of the people who need it the most—end users. 2. Encourages nontechnical end users to make decisions based on facts and analyses rather than intuition. 3. Accelerates and improves decision making. Cons associated with self-service BI and analytics. 1. If not well managed, it can create the risk of erroneous analysis and reporting, leading to potentially damaging decisions within an organization. 2. Different analyses can yield inconsistent conclusions, resulting in wasted time trying to explain the differences. Self-service analytics can also result in proliferating “data islands,” with duplications of time and money spent on analyses. 3. Can lead to overspending on unapproved data sources and business analytics tools.

Question

Want to see the full answer?

Answer 1

Question

Chapter 6, Problem 12RQ

Program Plan Intro

Self-service analytics and its pros and cons.

Self-service analytics includes training, techniques, and processes that empower end users to work independently to access data from approved sources to perform their own analyses using an endorsed set of tools. In the past, such data analysis could only be performed by data scientists. Self- service analytics encourages nontechnical end users to make decisions based on facts and analyses rather than intuition.

Pros associated with self-service BI and analytics.

1. Gets valuable data into the hands of the people who need it the most—end users.

2. Encourages nontechnical end users to make decisions based on facts and analyses rather than intuition.

3. Accelerates and improves decision making.

Cons associated with self-service BI and analytics.

1. If not well managed, it can create the risk of erroneous analysis and reporting, leading to potentially damaging decisions within an organization.

2. Different analyses can yield inconsistent conclusions, resulting in wasted time trying to explain the differences. Self-service analytics can also result in proliferating “data islands,” with duplications of time and money spent on analyses.

3. Can lead to overspending on unapproved data sources and business analytics tools.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Students have asked these similar questions

Q5-The efficiency of a 200 KVA, single phase transformer is 98% when operating at full load 0.8 lagging p.f. the iron losses in the transformer is 2000 watt. Calculate the i) Full load copper losses ii) half load copper losses and efficiency at half load. Ans: 1265.306 watt, 97.186%

2. Consider the following pseudocode for partition: function partition (A,L,R) pivotkey = A [R] t = L for i L to R-1 inclusive: if A[i] A[i] t = t + 1 end if end for A [t] A[R] return t end function Suppose we call partition (A,0,5) on A=[10,1,9,2,8,5]. Show the state of the list at the indicated instances. Initial A After i=0 ends After 1 ends After i 2 ends After i = 3 ends After i = 4 ends After final swap 10 19 285 [12 pts]

.NET Interactive Solving Sudoku using Grover's Algorithm We will now solve a simple problem using Grover's algorithm, for which we do not necessarily know the solution beforehand. Our problem is a 2x2 binary sudoku, which in our case has two simple rules: •No column may contain the same value twice •No row may contain the same value twice If we assign each square in our sudoku to a variable like so: 1 V V₁ V3 V2 we want our circuit to output a solution to this sudoku. Note that, while this approach of using Grover's algorithm to solve this problem is not practical (you can probably find the solution in your head!), the purpose of this example is to demonstrate the conversion of classical decision problems into oracles for Grover's algorithm. Turning the Problem into a Circuit We want to create an oracle that will help us solve this problem, and we will start by creating a circuit that identifies a correct solution, we simply need to create a classical function on a quantum circuit that…