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with Doug Atkins Getting Data Out of FASTER: Tips for the New & Experienced

Getting Data Out of FASTER : Tips for the New & Experienced

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Getting Data Out of FASTER : Tips for the New & Experienced. with Doug Atkins. Getting Data Out of FASTER. Find out how you can get information out of FASTER that will help you make better management decisions. - PowerPoint PPT Presentation

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Page 1: Getting Data Out of  FASTER : Tips for the New & Experienced

with Doug Atkins

Getting Data Out of FASTER:

Tips for the New & Experienced

Page 2: Getting Data Out of  FASTER : Tips for the New & Experienced

Getting Data Out of Getting Data Out of FASTERFASTER

Find out how you can get information out of FASTER that will help you make better management decisions.

Learn if you’re really getting all the information out of FASTER that you would like to?

Discover new ways to get the data out of FASTER.

Page 3: Getting Data Out of  FASTER : Tips for the New & Experienced

AgendaAgenda Introductions and Credentials

Definition of Data Mining

Types of Results

Tools for Data Mining

Real-Life Example How do you analyze the data? What do you do with the data? Who should see the data?

Questions & Answers

Page 4: Getting Data Out of  FASTER : Tips for the New & Experienced

Introductions and CredentialsIntroductions and Credentials Fleet Services Team Leader

FASTER Staff Member for 12 Years

All Script Requests Go through FS

Oracle OCP, MSSQL DBA Training

Worked with you and your staff learning fleet during my tenure, never worked in the industry, here’s my fleet …

Goal: make a miner out of you!

Page 5: Getting Data Out of  FASTER : Tips for the New & Experienced

Data Mining: What Is It?Data Mining: What Is It?

The process of extracting patterns from data.

Knowing what to ask.

Knowing how to ask.

Knowing how to present the data.

Page 6: Getting Data Out of  FASTER : Tips for the New & Experienced

Educating Our ConsumersEducating Our Consumers There is a tendency for insufficiently

knowledgeable "consumers" of the results to attribute "magical abilities" to data mining, treating the technique as a sort of all-seeing crystal ball.

Page 7: Getting Data Out of  FASTER : Tips for the New & Experienced

The discovery of a particular pattern in a particular set of data does not necessarily mean that pattern is representative of the whole population from which that data was drawn. Hence, an important part of the process is the verification and validation of patterns on other samples of data

Sample Set vs. Entire PopulationSample Set vs. Entire Population

Page 8: Getting Data Out of  FASTER : Tips for the New & Experienced

Types of ResultsTypes of Results

Result Sets Lists

All Assets in Company 001

Comparisons Parts Obsolescence

Trends Asset Historical Cost Per Meter by Month

Page 9: Getting Data Out of  FASTER : Tips for the New & Experienced

Tools for Data MiningTools for Data Mining

FASTER

Excel

Access

Business Objects (Crystal Reports)

SQL (Structured Query Language) FSQL: FASTER TOAD, SQL Developer: Oracle or Microsoft SQL Plus: Oracle SQL Server Management Studio Express:

Microsoft

Page 10: Getting Data Out of  FASTER : Tips for the New & Experienced

Tools Require ConnectivityTools Require Connectivity

FASTER OLEDB

Excel, Access, Query Developer Tools OLEDB, ODBC

TOAD, SQL Plus, SQL Server Management Studio Native Drivers Licensed Data Base Software

Page 11: Getting Data Out of  FASTER : Tips for the New & Experienced

Database ConnectivityDatabase Connectivity

Name of your Database FasterCS TNSName

Windows Authentication

User Name and Password DBA to Create Your Account Select Permission Only Reports account

Page 12: Getting Data Out of  FASTER : Tips for the New & Experienced

Locating the DataLocating the Data FASTER Data Dictionaries

http://customer.ccgsystems.com/download-center/manuals-documentation/ (requires login/password)

Core FASTER Application HTML View for Easy Navigation Tables

FASTER Reports Data Dictionary HTML View for Easy Navigation Views and Stored Procedures

Page 13: Getting Data Out of  FASTER : Tips for the New & Experienced

Real-Life ExamplesReal-Life Examples Lists

FASTER Search and Query FASTER Standard Reports Custom Reports & Queries

How many assets are in the fleet?, in a Department?, in a Class?, in a Shop?, are Take Home Vehicles?, are Off-Road Vehicles?

What is the value of my Inventory? How many brake parts have I issued?, to light duty equipment?, what is the value of Obsolescence?

Page 14: Getting Data Out of  FASTER : Tips for the New & Experienced

Comparisons FASTER Search and Query FASTER Standard Reports Custom Reports & Queries

Do I have enough technicians?, enough Bays?, am I stocking the right parts?, do I have adequate staffing in the parts room?

Are my vehicles being under/over utilized?, are there vehicles that should be sending up red flags (CPM/MPG)?, which ones need replacing?

Real-Life ExamplesReal-Life Examples

Page 15: Getting Data Out of  FASTER : Tips for the New & Experienced

Trends Cost of PM, by Asset Class, by Year Let’s Build It Let’s Analyze It Let’s Talk about How It Can Help Us Make a

Decision Let’s Take It Home

Real-Life ExamplesReal-Life Examples

Page 16: Getting Data Out of  FASTER : Tips for the New & Experienced

How to Build a QueryHow to Build a Query Select

The columns to be selected for the result set. The select list is a series of expressions separated by commas.

All, Distinct, * Specific Column Names Formulas

Select EHKey, EHCompany, …

Select Count(EHKey), …

Page 17: Getting Data Out of  FASTER : Tips for the New & Experienced

From Specifies the tables, views, and joined tables

used in DELETE, SELECT, and UPDATE statements.

Select … From faster.Eheader Select … From faster.Eheader JOIN faster.EPM on

(Eheader.EHUID = EPM.EPEHuid) Inner (only matches) Full Outer (All rows) Left Outer (All matches, includes rows from left) Right Outer (All matches, includes rows from

right)

How to Build a QueryHow to Build a Query

Page 18: Getting Data Out of  FASTER : Tips for the New & Experienced

Where Specifies the condition for the rows returned by

a query. Defines the condition to be met for the rows to be returned. There is no limit to the number of conditions.

Select … From … Where EHeader.EHUID = WHeader.WHEHUID and Wheader.WHUID = WLabor.WLWHUID and WLabor.WLRTY like ‘PM%’

How to Build a QueryHow to Build a Query

Page 19: Getting Data Out of  FASTER : Tips for the New & Experienced

Group By Divides a table into groups. Groups can consist

of column names or results or computed columns.

Select … From … Where … Group by EHeader.EHClass, EHeader.EHYear

How to Build a QueryHow to Build a Query

Page 20: Getting Data Out of  FASTER : Tips for the New & Experienced

Order By Specifies the sort for the result set. Select … From … Where … Group By … Order By EHeader.EHClass, EHeader. EHYear

How to Build a QueryHow to Build a Query

Page 21: Getting Data Out of  FASTER : Tips for the New & Experienced

Our QueryOur Query Select EH…

From EH…

Where faster.EHeader, …

Group BY EHeader.EHClass …

Order BY EHeader.EHClass …

Page 22: Getting Data Out of  FASTER : Tips for the New & Experienced

Question & AnswerQuestion & Answer

What does your Database need to tell you?

Are you asking the right questions?