Bright Cape Small & Big Data Solutions

Bright Cape

• Founded in 2014

• 35 Consultants

• WO• Finance• Bedrijfskunde (Business Analytics)• Econometrie (Advanced Analytics)

• Sectoren• Financial services• Logistics• Industry

• Diensten• Experts in Small & Big Data oplossingen

Jeroen de Haas – founder & managing partner

Le Sage ten Broeklaan 15615 CP EindhovenThe Netherlands

M: +31 6 5343 5357 @: j.dehaas@brightcape.nlI: www.brightcape.nl

Bright Analytics

Reference cases

Visualised process

Business Benefits

Data Visualisation : Process Mining

• Have more control/insights over (in) your processes;• Reduce long throughput times, waiting times, and bottlenecks;• Make the process ‘first time right’;• Reduce waste on unnecessary (rework) activities;• Reduce manual intervention in process execution;• Reduce cash that is stuck in your working capital;• Make processes compliant with procedures, policies, laws and

regulations;• Accelerate process design and system implementation

Bright Cape helps you to discover and visualize all business processes based on your own data. We provide full end-to-end business process transparency and enable optimization.

Dashboard

Process Mining steps

SHOW WHAT ACTUALLY

HAPPENED AND WHY

RECONSTRUCT AND

VISUALISE YOUR PROCESS

100% BASED ON DATA

PROCESS STEPS ARE

RECORDED BY YOUR IT-

SYSTEMS (CRM, ERP, ...)

ANALYSE & IMPROVE

ACTIVITY

TIMESTAMP

METADATA

ID

1

2

3

4

CASE: Algorithm development

Results

-5

0

5

10

15

20

25

30

35

0 1000 2000 3000 4000 5000 6000

Savi

ng

in %

Nr Orders in Shipping wave

Savings (sorting vs saving, planner order)

New Sorting New Saving

Results

-100

0

100

200

300

400

500

0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000

Solv

ing

tim

e in

sec

on

ds

Size Order Wave in Nr of Orders

Solving Time

Sorting Saving Lineair (Sorting) Exponentieel (Saving)

Results

Distance (m) Total # orders

<1700 orders: Saving 2.721.466 32.684

>1700 orders: NewSort 4.781.333 58.342

Total: 7.502.799 91.026

Benchmark: 8.405.931 91.026

Saving: 10,74%

Case: forecasting

• Warehouse with over 20.000 orders per day, with an average of 2,8 order lines, leading to over 60 million picks over last 7 years

• Over 12% of the orders can be pre-picked at a 90% confidence level

• Forecasts give new insights in ordering patterns and a more sophisticated ABC-layout

CASE: Machine Learning

Classification

24-5-2017

“ Hallo, Heb in 2014 te veel huur betaald (maximum verhoging) omdat verzamelinkomen op 2013 was gebaseerd. Mijn inkomen is in 2014 aanmerkelijk gedaald. Doordat ik pas nu een IB 60 van 2014. Heb ik bij verhuurder alsnog bezwaar aangetekend tegen huurverhoging Juli 2014. Mijn vraag is of ik de teveel betaalde huur kan terugvoerden. De verhuurder geeft te kennen dat op basis van een document van het Ministerie het bedrag niet terug betaald wordt!!!!!!!! Met vriendelijke groet.“

Huurrecht

Results (3)

24-5-2017

Conclusion

24-5-2017

69% of messages can be categorizedwith an error rate of <6,5%.

31% needs review

More data, better predictions!

Case: deurwaarders

Questions?