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Oil Content Presentation
By Chris Trant
Objectives
• Target the highest quality beans by utilizing Q4-2013 data to
identify zip codes and vendors with above average oil content
• Establish a streamlined process to simply and effectively
produce accurate and informative data for any BNA facility
• Use Tableau and Excel to pull and synthesize large amounts of
data into actionable and timely information
Rationale
• Not all bushels are created equal, more cost effective to target
higher oil yielding beans
• Quality of the beans may be, in part, tied to more fertile
geographic regions or unique vendor methods
• Zip codes allow for easy comparisons while viewing multiple
vendors at once
• Zip codes provide pre-established boundaries
• Data can serve as a future reference and benchmark
Step 1: Accessing Tableau Data
1. Log in to Tableau and access the “OPD US QUALITY FACTORS”
workbook
a. Select “Numerical Grades Overview”
2. Set Delivery Date to “Previous Quarter” (October 1st
2013
through December 31st
2013 in this case)
3. Select plant
4. Uncheck all grade factors except Gross Delivered Bushels and
Wtd Avg Oil Content
a. Take note of the overall average oil quality and total
bushels delivered for future reference
5. Expand Material Column to show vendors
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com
STEP 2: Exporting Data
1. Enter Oil Content Mapping tab, located next to the Numerical
Grades Overview
2. Click on the “Quality Details by Vendor” title towards the lower
center of your screen
a. Although unseen by the viewer, clicking on this title tells
Tableau of our intentions to access the data below it
3. Under Industry uncheck all except “Farmer” and “Producer”
a. This will exclude elevator/ dealer data
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com
4. The top center of the screen has four icons in a row, hover over
the arrow icon and click the “cross tab” command. This will
direct Tableau to download and export the chosen data below.
STEP 3: Data Sheet
1. Download and save data as an excel file immediately
a. If data is not saved as an excel doc- pivot tables cannot be
created
2. Delete or hide all unnecessary columns, leaving only a list of
vendors, their zip codes, and their respective bushel amounts
and oil percentiles
3. Some vendors will have multiple entries; do not worry about this
now
4. Rename columns (if desired)
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com
STEP 4: Create Pivot Table
1. Highlight all data, and then insert Pivot Table
2. Check “Zip” and “Vendor” fields and add them to the Row
Labels box
a. Lower left white box, make sure “Zip” is above “Vendor”
name
3. Check “Bushels” and “Oil” Content fields and place them in the
values box
a. Lower right box, make sure “Oil” is above the “Bushels”
4. Left click “Oil” icon bar and enter Value Field Settings…
a. Change the Summarize Value option to “Average”
5. Left click “Bushels” iconbar and enter Value Filed Settings
a. Chance the Summarize Value option to “Sum”
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com
STEP 5: Conversions
1. Convert “Oil” column to a Percentage with two decimal places
2. Convert “Bushels” to include a comma with no decimal places
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com
3. Under Pivot Table Tools, select the “Collapse Fields” icon to only
show the zip code totals
4. Sort Oil Content from Largest to smallest
STEP 6: Data Manipulation
1. Select arrow in the Row Labels column
a. Scroll down to the Value filters option, select “Top 10…”
option
2. Select the top 30 (or any number) items be the “Oil” option
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com
STEP 7: OPTIONS
1. Conditional formatting can make viewing information easier
a. Select desired sort column, and select the Conditional
Formatting button under styles
b. Select Top/Bottom Rules and chose “top 10 items”
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com
c. The top 10 items will be highlighted in a color of your
choice
2. At any time you can increase/decrease the desired bushel
amount, number of zip codes, or sort by highest oil%
LIMITATIONS
• Split Loads distort true vendor zip
• 2% of bushels were not tested for oil content
• Elevators draw from larger area, not exclusively from the
locational zip code
• Limited benchmarks exist to compare yields
• Weighted average of bushels not factored
Bunge North America, Inc.
1200 N. 2nd
St, Decatur, IN 46733, USA
Phone: (260) 724-1276 Cell: (630) 346-4449
Christopher.trant@bunge.com

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OIL_OUTLINE

  • 1. Oil Content Presentation By Chris Trant Objectives • Target the highest quality beans by utilizing Q4-2013 data to identify zip codes and vendors with above average oil content • Establish a streamlined process to simply and effectively produce accurate and informative data for any BNA facility • Use Tableau and Excel to pull and synthesize large amounts of data into actionable and timely information Rationale • Not all bushels are created equal, more cost effective to target higher oil yielding beans • Quality of the beans may be, in part, tied to more fertile geographic regions or unique vendor methods • Zip codes allow for easy comparisons while viewing multiple vendors at once • Zip codes provide pre-established boundaries • Data can serve as a future reference and benchmark Step 1: Accessing Tableau Data 1. Log in to Tableau and access the “OPD US QUALITY FACTORS” workbook a. Select “Numerical Grades Overview” 2. Set Delivery Date to “Previous Quarter” (October 1st 2013 through December 31st 2013 in this case) 3. Select plant 4. Uncheck all grade factors except Gross Delivered Bushels and Wtd Avg Oil Content a. Take note of the overall average oil quality and total bushels delivered for future reference 5. Expand Material Column to show vendors Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com
  • 2. STEP 2: Exporting Data 1. Enter Oil Content Mapping tab, located next to the Numerical Grades Overview 2. Click on the “Quality Details by Vendor” title towards the lower center of your screen a. Although unseen by the viewer, clicking on this title tells Tableau of our intentions to access the data below it 3. Under Industry uncheck all except “Farmer” and “Producer” a. This will exclude elevator/ dealer data Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com
  • 3. 4. The top center of the screen has four icons in a row, hover over the arrow icon and click the “cross tab” command. This will direct Tableau to download and export the chosen data below. STEP 3: Data Sheet 1. Download and save data as an excel file immediately a. If data is not saved as an excel doc- pivot tables cannot be created 2. Delete or hide all unnecessary columns, leaving only a list of vendors, their zip codes, and their respective bushel amounts and oil percentiles 3. Some vendors will have multiple entries; do not worry about this now 4. Rename columns (if desired) Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com
  • 4. STEP 4: Create Pivot Table 1. Highlight all data, and then insert Pivot Table 2. Check “Zip” and “Vendor” fields and add them to the Row Labels box a. Lower left white box, make sure “Zip” is above “Vendor” name 3. Check “Bushels” and “Oil” Content fields and place them in the values box a. Lower right box, make sure “Oil” is above the “Bushels” 4. Left click “Oil” icon bar and enter Value Field Settings… a. Change the Summarize Value option to “Average” 5. Left click “Bushels” iconbar and enter Value Filed Settings a. Chance the Summarize Value option to “Sum” Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com
  • 5. STEP 5: Conversions 1. Convert “Oil” column to a Percentage with two decimal places 2. Convert “Bushels” to include a comma with no decimal places Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com
  • 6. 3. Under Pivot Table Tools, select the “Collapse Fields” icon to only show the zip code totals 4. Sort Oil Content from Largest to smallest STEP 6: Data Manipulation 1. Select arrow in the Row Labels column a. Scroll down to the Value filters option, select “Top 10…” option 2. Select the top 30 (or any number) items be the “Oil” option Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com
  • 7. STEP 7: OPTIONS 1. Conditional formatting can make viewing information easier a. Select desired sort column, and select the Conditional Formatting button under styles b. Select Top/Bottom Rules and chose “top 10 items” Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com
  • 8. c. The top 10 items will be highlighted in a color of your choice 2. At any time you can increase/decrease the desired bushel amount, number of zip codes, or sort by highest oil% LIMITATIONS • Split Loads distort true vendor zip • 2% of bushels were not tested for oil content • Elevators draw from larger area, not exclusively from the locational zip code • Limited benchmarks exist to compare yields • Weighted average of bushels not factored Bunge North America, Inc. 1200 N. 2nd St, Decatur, IN 46733, USA Phone: (260) 724-1276 Cell: (630) 346-4449 Christopher.trant@bunge.com