Het verzamelen van data is (vrijwel) geen issue, meer; data is in overvloed beschikbaar. Het maken van zinvolle analyses is een stuk lastiger. Deze presentatie gaat over hoe big data waarde toevoegt aan operationele processen van Maxeda en welke oplossingen de beste ondersteuning bieden.

1. Smart information from SAP systems
Martin van Dijk, IT Manager Service Delivery at Maxeda DIY
1 October 2015

2. Big Data Expo –
Maxeda DIY
■ DIY retailer in Netherlands and Belgium with several formats
■ Operating over 400 stores in Belgium, Netherlands and Luxemburg
■ Assortment of 80.000 SKU’s

3. Big Data Expo –
■ There is more than enough data available:
■ From on-line and off-line
■ How do we process that data?
■ How can we make it accessible for ‘the business’
One of our challenges

4. Big Data Expo –
Volume
Variance
Velocity
Definition

5. Big Data Expo –
 Is a database with all (online) purchases, big data?
 Is that same database big data, when it is combined with click behaviour or store
traffice to make recommendations for purchases?
 Is this what we do at Maxeda DIY?
 Why?
Big Data in Maxeda

6. Big Data Expo –
 We hired a data scientist
 25 potential questions were rated on:
– Availability of data;
– Availability of tooling;
– Availability of analytical models.
 First query implemented, highly appreciated by (pilot) stores
Our journey…

7. Big Data Expo –
From data to information: transformation

8. Big Data Expo –
1. Commercial
Monitoring
3. SCM
Monitoring
6.(3) Analytics and
Performance
Management
5. Store
Monitoring
2.1. Vendor Relation
Management
3.2. Supply Chain
Planning
6.1. Development of
Business Strategy
1.4. Retail Price &
Revenue Management
1.2. Demand
Managing &
Forecasting
1.3. Assortment
Management &
Space Planning
& Optimization
1.5. Promotion Planning
and Management
2.3. Purchase Order
Management
2.4. Private Label
Management &
Own Production
2.2. Foreign Trade
5. Supply Chain
Visibility and Tracking
3.4. Inventory
Management
3.1. Define and Arrange
Supply Chain
6.5. HRM6.4. Corporate Services
& Operational Support
6.2. Finance &
Controlling
1.1. Marketing
Research
3.3. Replenishment and
Inventory Optimization
1.Demand
Management
2.Sourcing
andBuying
3.SCM5.Store,Customer
SalesandServices
6.Enterpise
Management
&Support
MONITORING
4. Logistic
Monitoring
4.Logistic
execution
4.2. Transport
Management
4.1. Warehouse
Management
5.1. Point-of-Sales
5.2. In-Store Cash
Management
5.3. Store Operations 5.4. Store Staff
Planning
5.5. Catalog
Management
5.7. Call Center
5.8. Customer Service
5.6. e-Commerce 5.9. Customer Data
Management &
Profiling
5.10. Customer Loyalty
6.6. Master Data
Management
6.7. Information
Technology Services
AS@R
Application process mapping
= SAP module= Application coverage
www.brico.be (Wanabe)
Hyperion
CoKoPas
LMN
EX Trim (DC)
IKB
Fiche Fournisseur (Br.) EYR (Sunrise) (BR)
www.praxis.nl
www.plan-it.be
BI
BI
BI
BI
BIHR (incl. Time)
Store (& Portal)
Retail
Retail
Retail Retail
Retail
Retail
Retail
Retail
Retail/FiCo
Retail/FiCo + SIM Retail/FiCo
www.brikodepot.com
(Wondercom)
Portal
PRXnet
LMN
= Unknown / To be validated
BAS BAS
Pin applic.
AS@R
for PDA
Virus Scanner
Prisma Business Objects
Retail
E-learning
+ Informatie
zuilen
AdresXpress
E-gift card
E-gift card
Pocket
browser
2007
Datax
Dupfact Corona(PI)
CAPP/BDA
CAPP/BDA
Arcview
Retail (for flowers)
PIM
SAP SIM

9. Big Data Expo –
IT system landscape

10. Big Data Expo –
Simplified architecture
SAP BW/HANA Every Angle
POS WMS
Business Objects

11. Big Data Expo –
■ It’s quite simple to put data into SAP…
■ It can be difficult to get information out of SAP
■ Huge volumes => Slow queries;
■ Difficult to find right tables;
■ Difficult to combine tables in queries;
■ Either you have reports programmed in R/3
■ Or you define reports in BW (and optimize them for frequent and
convenient use)
What’s the role of Every Angle?

12. Big Data Expo –
■ Used by IT
■ Master data checks
■ Used by the business
■ analysis for Supply chain
■ analysis for Master data
■ analysis for Buying
=> Operational Business Analytics
Every Angle usage

13. Big Data Expo –
What makes Every Angle different?

14. Big Data Expo –
■ Very simple to use for almost all users that are a bit familiar with Excel.
■ Very, very fast!
■ Friendly priced
Advantages of Every Angle

15. Big Data Expo –
 You run all queries on a snapshot of your SAP-data;
 You can’t modify/upload data into SAP
 It’s very easy to get data from SAP into Excel. What happens then…
Drawbacks of Every Angle

16. Big Data Expo –
Every Angle organization
 Open and pragmatic approach
 Highly experienced consultants with business understanding
 Active (pro-active) system monitoring/management

17. Big Data Expo –
Lessons learned
 Start with a live demo on your Q system
 Involve business users early in the process (so from the beginning)
 Aim for improvements, not only in reporting but also in:
 Organization,
 Procedures,
 Processes,
 SAP.

18. Big Data Expo –
Martin van Dijk
IT manager Service Delivery Maxeda DIY
E-mail: martin.van.dijk@diymaxeda.com
Mobile: +31 (0)6 20 200 316
Questions?