This presentation will focus on the importance of business enabled analytical data flow management to support business processes and decision making within YoungCapital. Part of the presentation will be an example of the ROI that is being realized with this approach. At YoungCapital big data is used to find suitable candidates for jobs in the market place and to match jobs to candidates and candidates to jobs and using advanced in house developed artificial intelligence. These solutions are based on (web) behavior, demographic, registration and resume data. In BI we need to report and analyze on millions of transactions per year. With thousands of candidates putting in daily declarations both in our systems as well as our customers systems we need flexibility in consolidating all that data for both operational processes as well as business analytics and artificial intelligence. In stead of using data engineers in combination with business analysts to manage this YoungCapital is using Alteryx to enable business analysts to combine their analysis & business expertise with the capability of creating data flows that directly benefit the business. This frees up our data engineers for larger projects and improves the speed and quality of information delivered into our decision making. About YoungCapital: YoungCapital is a recruitment specialist for young talent. It manages 26+ recruitment sites in 9 countries. The candidate database contains 6m+ profile. 50k+ per month are being added. With a revenue of €465 million, YoungCapital is the fastest growing company in the Dutch HR sector and number 5 in the top 250 of fastest growing companies in the Netherlands.

1. Jaap Vink
BUSINESS ENABLED ANALYTICAL DATA FLOW
MANAGEMENT @ YOUNGCAPITAL

2. Who are we?
Recruitment specialist for young talent. It manages 26+
recruitment sites in 9 countries. The candidate database
contains 6m+ profiles. 50k+ per month are being added. With
a revenue of €465 million, YoungCapital is the fastest
growing company in the Dutch HR sector and number 5 in
the top 250 of fastest growing companies in the Netherlands.

3. Who am I?
Jaap Vink
30+ Years experience in applying advanced analytics for
decision making
Head of Data a.i. at YoungCapital
Married & father of 2 humans and 2 dogs
Expecting grandfather (exp. Delivery date 9/3/20)

4. Help drive decision making for profitable growth
Data Engineering – Provide a stable & trusted data platform
(GCP, Python, Spark,…)
Data Science – Match jobs to candidates & candidates to jobs,
automate decision making where possible, provide
recommendations for cooperative human-machine decision
making, create advanced insights into business processes
(Python, R, ……)
Business Intelligence – Provide trusted & timely insights
trough reports & dashboards (Alteryx & Tableau)
Data Integration – integrate customer data into our processes
(Alteryx)
Data Integration – integrate customer data into our processes
(Alteryx)
Business Departments – Create ad hoc departmental reports
& dashboards (Alteryx, Tableau & Google Sheets)
Big Data &
Analytics @
YoungCapital

5. Enabling business with analytics increases agility
Enabling the business with the right tools allows for
shorter time to decision

6. It’s all about effectiveness &
efficiency
Time & effort
to Decision &
Action
Time & effort
to Deployment
Time & effort
to Insight
Time & effort
to Data

7. Not all data processes can be simply automated
Most of the work in spreadsheets in analytical
data processing requiring analytical business
expertise
Not all data flows are stable and require
recurrent analysis before being useful
Analytics & Business Insights used in
spreadsheets lead to better defined data
transformations
But
Spreadsheets are error prone
Spreadsheets are difficult to audit & govern
Spreadsheets are difficult to automate
Spreadsheets have data limitations
Our love-hate
relationship with
spreadsheets

8. Good Analytics requires
convergence & synergy
IT Architecture
AnalyticsData
Business
Process
VALUE

9. 1. Business user friendly interface
2. Allows for visual auditable workflows
3. Data Flows can be easily adapted to fit new data
4. Automation
5. Scalability
Enter Alteryx

10. Alteryx Benefits
for YoungCapital
BUSINESS ENABLED ANALYTICAL DATA FLOW
MANAGEMENT
Shorter time to data – Business access the data provided
independently because of the data access capabilities
Shorter time to Insight – Business can independently run ad
hoc queries and analyses preventing back logs in BI and data
engineering
Shorter time to deployment – Automation and deployment
capabilities are integrated into the solution
Fewer resources– Business users rely less on Data Engineers &
Business Intelligence Specialists for their analyses
Agility – Changes in data sources or analyses can be simply
implemented without changing a process
Governance – Visual data flow allows for more transparency
and transferability

11. Partial Business
Case on employee
costs only
Enabling business resources in stead of Data
Engineers and BI Specialists: fewer resources
Average annual cost difference Data Engineer/BIS and
analytical business user in NL: €17,500
Enabling business with Alteryx DE/BIS replaced
with analytic business users covers all Alteryx costs
Positive ROI
- Shorter Time to Data, Insight, Deployment ⇛ Decision &
Action
- Agility
- Governance

12. Questions?
Enjoy your break
Jaap Vink
https://www.linkedin.com/in/jaapvink/