operation data analysis

Operation Data AnalysisOperation Data Analysis

EGN 5621 Enterprise Systems Collaboration(Professional MSEM)

Fall, 2011

Tools to Analyze DataTools to Analyze DataTools to analyze data range from

simple to complexReports and graphsAdvanced statistics forecasting modelsAdvanced optimization models and

toolsHaving the right people mattersHaving data modeling

A Large Quantity of Quality DataA Large Quantity of Quality Data

All analytic methods feeds on data – in large quantity and good quality

Having good data can be turned into a competitive advantage

Integrated organizations have a lot of data available, they must learn to exploit it

Interpreting DataInterpreting Data

Skills are required to create appropriate graphs, reports, and statistical analysis

Skills are required to interpret correctly graphs, reports and statistics

Skills are required to make the appropriate decisions from the analytics

Using Queries to Analyze DataUsing Queries to Analyze Data

Queries contain 2 basic elements: (i)Key Figures, KPI(ii) Dimensions.

Margins as a function of time

Sales by country

An ExampleAn Example

MeasuresDimensionsDimensions

Elements of an Info CubeElements of an Info Cube

Key figuresDimensions

Types of MeasuresTypes of MeasuresAdditive : it makes sense to sum the measures

across all dimensions◦ Quantity sold across Region, Store, Salesperson, Date,

Product …semi additive : additive only across certain

dimensions◦ Quantity on hand is not additive over Date, but it is

additive across Store and Productnon additive : cannot be summed across any

dimensions◦ A ratio, a percentage

A measure that is non additive on one dimension may be the object of other data aggregations◦ Average, Min, Max of quantities on hand over time

How DW Differs from a How DW Differs from a Transactional DB?Transactional DB?

Characteristic DB DW

Operation Real-time, transactional Decision support, strategic analysis

Model Entity-Relationship Star Schema

Redundant data Designed to avoid Permitted

Data Raw data, current Aggregated, Historical data,

# of users Many Few

Update Immediate Deferred

Calculated fields None stored Many stored

Mental model Tabular Hypercube

Queries Simple, some saved Complex, many saved

Operations Read / Write Read Only

Size Go (Gigabytes) To(Terabytes)

Doing Business Intelligence Doing Business Intelligence (BI) with ERPsim Data in MS (BI) with ERPsim Data in MS

AccessAccess

How to use How to use ERPsimData.accdbERPsimData.accdb

Step 1: ◦Download the

ACCESS file ERPsimData.accdb from the site provided by your instructor

◦Save the file ERPsimData.accdb on your hard drive

◦You may open it to check its content


Step 2: ◦Use Pivot Table or

normal table in Excel to analyze data

◦Open an Excel file◦ In the Excel file, on

the “Data” tab, click on the “From Access” button.

◦Look for ERPsimData.accdb on your hard drive

◦Select the query or table you want to analyze


Step 2 (cont’d): ◦Select Pivot or

normal Table report◦Select the fields you

want to use in your report

Exploring Data

Plant A: An overviewPlant A: An overview

Plant B : an OverviewPlant B : an Overview

Plant C an OverviewPlant C an Overview

Trying to Maintain Stocks for All Trying to Maintain Stocks for All ProductsProducts

Large Variations in Sales per StepLarge Variations in Sales per Step

Small Production RunsSmall Production Runs

Long production runsLong production runs

Manipulating Graphs

Key Figure or KPI Y-dimensionKey Figure or KPI Y-dimension

X (Row) dimensionX (Row) dimension

Multiple Series: Column Multiple Series: Column DimensionDimension

Graph type: Scattered BarsGraph type: Scattered Bars

Graph Type: Scattered LinesGraph Type: Scattered Lines

Graph Type: LinesGraph Type: Lines

Graph Type: 3D BarsGraph Type: 3D Bars

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An exampleAn example

BI Questions

BI Question 1BI Question 1

Current assets include(i) cash(ii) receivables(iii) raw material inventory(iv) finished product inventory

How well have the teams performed in managing the current assets over time?

Hint: Use the financial data

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Did the winning team bring their highest margin product to market first?

Did they charge a price premium while they were first to market?

Can you see the impact of a competitor entering the market?

Hint: Use the operational data

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One objective of materials management is to make sure that raw materials are available for production when needed

Which company has managed this process well as shown by having the largest variety of products in stock?

Hint: Use inventory data by products over time

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Companies may have different strategies for production management◦Some may prefer long productions to minimize

setup losses, while others may prefer shorter runs to respond more quickly to market opportunities

Can you determine what strategies were used by each team?

Where there any production disruptions?Hint: Use production data over time and

products. Filter for each individual company.

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Companies want to maximize sales◦If sales are too high, the price may be too low,

and vice versaCan you tell sales is affected by prices?

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Who owns the market (as measured by market share) for each product?

Hint: Use sales data filtered by product with drilldown across plant◦Use a stacked area chart

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operation data analysis

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