October 2016

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Dev Hackathon - 3rd editionApril 2018

October 2016

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Plan

I. Welcome to INFOR!II. Introduction to the Retail Data Model

III. Data Partitioning ChallengeIV. Your MissionV. Evaluation Criteria

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Welcome to INFOR!

THE BIGGEST COMPANY YOU’VE NEVER HEARD OF

Infor’s global presence

3rd largestbusiness applications

company

14,000employees

$100Btrade in commerce

cloud

25,000 suppliers in

commerce cloud

30 banks in

commerce cloud

1,248+go lives

73,000customers globally

200+countries & territories

$2.8Brevenue

4,500+cloud customers

globally

October 2016

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Welcome to INFOR!

• INFOR RETAIL provides cloud native, predictive and prescriptive analytics solutions for retail. Our Solutions harness big data and advanced analytics to solve the toughest problems in merchandising and supply chain.

MERCHANDISING PLANNING

ASSORTMENT & CATEGORY

MANAGEMENT

DEMAND FORECASTING

PRICE OPTIMIZATION

SUPPLY CHAIN OPTIMIZATION

A Seamless & configurable end to end

planning suite

Localized, optimized assortments that

drive higher sales & margins

Deeper insights into consumer

demand driving up to 50% improved

forecasts

Optimized price, promotion &

markdowns linked to merchandising &

supply chain

Optimizes all network locations & flows

globally – 20% inventory reduction

October 2016

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● A yearly software engineering hackathon that addresses real-world engineering problems.

● This year , we have 2 challenges :

○ A development challenge. ○ A data science challenge.

Welcome to INFOR!

Welcome to the THIRD edition of Infor Tunisia Hackathon

October 2016

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Introduction to the Retail Data Model

October 2016

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Introduction to the Retail Data Model

• Let’s imagine that you landed a job with a big American retailer (sweet!).• This retailer has many stores spread across multiple cities. • Many items are sold in each one of those stores. • Items are grouped into classes to facilitate customer browsing and

internal bookkeeping.

Location CalendarProduct

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Introduction to the Retail Data Model - Dimensions

DimensionlevelslevelsLevels

Product

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Introduction to the Retail Data Model - Hierarchies

Smartphones

iPhones Samsung phones

Samsung S5Samsung S4iPhone 8iPhone 7

Class level

Subclass level

Item level

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Introduction to the Retail Data Model - Metrics

● Our retailer keeps track of different metrics about its business including:

○ The number of units sold of each of the items he sells every day in each store.

■ units [item, store, day] = value

○ The profit generated from selling an item during each day in each store.

■ profit [item, store, day] = value

October 2016

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Introduction to the Retail Data Model - Metrics

Metric Keys Metric Values

Metric Name

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Data Partitioning Challenge

October 2016

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Data Partitioning Challenge

• What is partitioning?– It’s a technique for physically dividing the data into

smaller pieces according to some predefined rules.

• Why partitioning?– Processing of large amounts of data (BIG Data)– Parallelizing data analysis– Improving maintenance, performance of our systems

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Data Partitioning Challenge

HUGE Sales File

Partition by:1. Class level of

the Product Dimension

2. City level of the Location Dimension

Class level valuein Product Dimension

City level valuein Location Dimension

Sales records of the class “Smartphones”

in the city “ATL”

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Your Mission

October 2016

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Evaluation Criteria

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Evaluation Criteria

• Solution correctness• Passed levels • Performance• Code quality

October 2016

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