Grape-Nuts, Raisin Bran, Fruity Pebbles, Cocoa Pebbles, and Honey Bunches of Oats are just a few of the items that has helped make Post Foods the leader in ready to eat cereal. However, ready to eat cereal is not the only category Post Foods operates in. With the acquisitions of over ten companies in the past three years Post Foods now operates in six other categories including foodservice, private label, and active nutrition to name a few (Post Holdings, Inc, 2015.) It all started in 1892 when Henry Drushel Perky and his business partner William Henry Ford invented a machine that was able to shred whole wheat. Their invention led to the creation of Shredded Wheat Cereal. Three years later in 1985 Charles William Post (C.W. Post) made his …show more content…
If the price is low now and future projections project an increase in price it may be wise for the team to buy now by locking in a price and selling later. Post cereal’s biggest commodity is wheat. Wheat can be bought two years in advance, although it is not recommended and is purchased by the bushel. Each bushel is sold by the pennies; today’s current listing price is at 488’6 (KCBT) which means one bushel can be sold for four dollars and eighty eight cents.
Although Post likes to buy their commodities three to four months in advance (from production) they do so, so they can also trade within the market. The market is very unpredictable similar to any world market because we simply cannot predict what may happen in two minutes or two weeks from now. Main factors include weather, and geo-political issues; specifically what is happening with Ukraine who happens to be a major player in wheat production (top five in the
…show more content…
Budget and projected prices are loaded into their respective tables, after which an ETL (extract, transform, and load) transforms the data applying the correct budget and projected prices to a table. The files are loaded into the RDM (resource description message) schema, using the data provided to supplement the data in the ERP system. Views are then built on these tables and the Tableau server uses the views as data sources within the tool. Our monthly reporting suite is dependent on these