Randstad’s Journey in Tech and Touch
Technology has had a huge impact on the world at large and on the world of work. The focus on data & data analytics has increased in the past years. Interpersonal relationships are important in our business but we need to leverage data & digital technologies to help our customers and continue building trust. Randstad is using big data analytics and visualization technologies to develop services that help the company form closer bonds with its customers —both the employers that are looking to hire staff as well as the candidates we help recruit. Jildert Huitema will elaborate on the rationale behind the data-driven program in the Netherlands and showcase a specific killer case of the data-driven program. We would like have an interactive discussion on how do you build the perfect development team and what are the necessary pre-conditions to realize a digital transformation?
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Randstad’s Journey in Tech and Touch
- 2. Randstad’s Journey in Tech and Touch Vaishali Sachdev - Head of e-commerce Randstad Holding NV Jildert Huitema - Head Marketing & Market Intelligence Randstad Nederland
- 3. agenda 3 about Randstad embracing digital innovations where we are; where we are going four pre-conditions for successful data-driven Randstad killer app: Sales Navigator
- 4. 2001 2004 2005 2008 2009 2010 2011 2012 201420132002 2003 2006 2007 Uitzendbureau Amstelveen founded 1960 Company name changed to Randstad Holding nv 1987 1990 Listed on AEX 1998 Frits Goldschmeding, Founder, retires Presented in 20 countries, promoted to the AEX index Randstad Vedior merger Acquire SFN Group Acquire part of USG in EU RIF started 2015 RiseSmart Acquisition Founded IPO Founded IPOFounded FoundedFounded Founded (as Elance) Acquire FujiStaff (JP) Revenues €6.6 billion 3x 4 Randstad innovating agile, local, based on client needs Revenues €19.2 billion
- 5. embracing digital innovations agile integrator of technologies supporting data-driven services under Randstad DNA, with a place for human interface 5
- 6. where we are; where we are going… 6 entry transform advanced optimize complexity businessimpact Monetize our Data Data Warehouse Optimization Big Data Exploration Customer 360 Degree View Streamlined Data Refinery Talent 360 degree profile Harnessing external Data Intelligent matching & Ranking Big Data Predictive Analytics Pricing Intelligence Randstad Current State Descriptive & Diagnostic Randstad Future State Predictive & Prescriptive
- 7. data driven program 7 labour market Predict scarcity and skills gaining in popularity candidates Predict the perfect and available candidate companies Predict demand of every single company on any moment
- 9. data lake 9
- 10. new roles and skills 10 Business sponsor Program manager Business consultant IT analyst Data scientist Data engineer Business analyst Benefit reporter UX developer Implementation manager Community builder
- 11. killer cases 11
- 12. how it works: can we predict demand? and can we help our salesforce to find it more easily? 12
- 13. sales navigator: product concept easy to use application | market insights | prediction model for targetting 13
- 14. market data & prediction 14 step 1: define goal and hypotheses step 2: use the data (variables) available and scope step 3: built algorithm, test, refine step 4: present algorithm through web service to front end 1. hypotheses 2. sources 3. prediction model • company info from Chamber of Commerce • market information from Bureau of Statistics • internal data from CRM system • e-mail data • vacancy data
- 16. touch supported by tech 16