Hotel management assignment - 2000 words essay

Data Driven Decision Making

Purpose

l Provide guidelines for using data for team planning

l Provide guidelines for using data for on- going problem solving

l Apply guidelines to examples

Improving Decision Making

From Problem Solution

To Problem Problem Solving Solution

Key features of data systems that work

l The data are accurate and valid l The data are very easy to collect (1 % of staff time) l Data are presented in picture (graph) form l Data are used for decision-making

– The data must be available when decisions need to be made (weekly?)

– Difference between data needs at a school building and data needs for a district

– The people who collect the data must see the information used for decision-making.

Why collect discipline data?

l Decision making l Professional accountability l Decisions made with data (information) are

more likely to be l 1) implemented and l 2) effective.

What data to collect for decision making we use in the University?

Use what you have:

l Attendance

l Suspensions/Expulsions

l Vandalism l Office discipline referrals/detentions

– Measure of overall environment. Referrals are affected by 1) student behavior 2) staff behavior and 3) administrative context

– An under-estimate of what is really happening

– Office referrals per day per month

What data to collect for decision making we use in Hotels?

When should data be collected?

l Continuously l Data collection should be an embedded part

of the school cycle, not something “extra” l Data should be summarized prior to

meetings of decision-makers l Data will be inaccurate and irrelevant unless

the people who collect and summarize it see the data used for decision making.

Using Data for On-going Problem Solving

l Start with the decision, not the data l Use data in “decision layers” (Gilbert, 1978)

– Is there a problem? (overall rate of ODR) – Localize the problem

l (location, problem behavior, students, time of day)

l Don’t drown in the data l It’s “OK” to be doing well l Be efficient

Application Exercise

l What is going well? l Do you have a problem? l Where? l With whom? l What other information might you want? l Given what you know, what considerations

would you have for possible action?

Summary

l Transform data into “information” that is used for decision making

l Present data within a process of problem solving – Use the trouble-shooting tree logic – Big Five first (how much, who, what, where, why)

l Ensure the accuracy and timeliness of data