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Tekin Mentes, Director Enterprise Data and Analytics, LeasePlan

What has been your path to power?

I am an industrial engineer with a Master’s degree in Management Information Systems and an executive MBA degree from Rotterdam School of Management, Erasmus University. I have been in the data space throughout my career – 25 years to be exact – starting with implementing Oracle database and ERP solutions at the time when Oracle was dominating the world with its powerful database and business solutions.

 

Since then, I have added years of hands-on working experience in the data and analytics field with various companies across the world, being a consummate leader, data strategist and data lake expert acknowledged internationally for ground-breaking efforts in driving data analytics transformation. For the last for years as a director of the enterprise data and analytics department, I have been busy with building modern data technologies in LeasePlan to support its business strategy of being a fully digital car-as-a-service company, delivering the right data at the right time to our customers with the power of data.

 

For that reason, I have built a full-scale data organisation to enable the whole business from data acquisition to delivering AI/ML solutions that create business value.

What impact has the pandemic had on the role of data in your company/organisation?

The coronavirus pandemic has affected all sectors of the economy since 2020. Many businesses across the world saw interruptions and shortages in supplies, the decline in the demand for the products and services, and so on. At the same time, Covid-19 has also pushed companies over the technology tipping point and transformed business.

 

LeasePlan has speeded up the adoption of digital technologies and data organisation has been one of the pillars in this transformation. The need for accurate data about our businesses and customers, creating new solutions to help our customers during the pandemic was crucial and this helps AI/ML adoption in our business solutions significantly.

Does data now have a seat at the table during strategic discussions? If not, what will it take to get it there?

I feel like an accomplished data leader in this sense because when I built a data strategy in LeasePlan, the first thing I did was to get the buy-in and support from our executives. Today, I am happy to say that data has been recognised as a major strategic asset that sits at the very core of LeasePlan’s business. It has been a long journey full of explanation, education, and showing the power of data in business discussions.

 

If I want to give one suggestion for others, it would be get sponsorship from your C-suite and show that data is not only for reporting and dashboarding – it is more about creating new digital products and services for customers and business. Building your own data assets and aiming to monetise them is the key element to make an impact in those types of discussions.

 

What are your key areas of focus for data and analytics in 2022?

Data is a crucial element for the digital transformation of organisations to enable digital intelligence and new business models. Next to the general excitement around big data and artificial intelligence (AI), there is little practical know-how about the vision of transforming business intelligence into an intelligent business. LeasePlan, as a visionary company, has understood the business rules of the new world and has started to build its business model around this.

For this reason, my two key areas among others in 2022 are:

 

  • Embracing the mission of creating a new culture that is based on yesterday and today’s customer digital footprint to rapidly scale the future strategy and business growth by applying AI and ML algorithms to various specific and well-defined objectives. With this, we will be able to execute better business decisions and more intelligent courses of action with minimal human intervention;

 

  • Making data quality tangible, understandable and clear so that we empower employees to take ownership of our data assets and encourage a continuous data quality improvement culture. With data quality in place, we help LeasePlan to be able to make the right decisions based on the right data and to have reliable AI products.

 

Tell us what leadership means to you in the context of your role as a senior data leader.

As a senior data leader, I spend my time with business partners to influence for better usage of data and inspire them to work together towards a common goal, spend time with executives to explain the vision of data and get their focus on the vision, and focus on the team to enable them to do their best work. This requires coaching and mentoring data people and creating new leaders.

 

Growing people in my organisation is probably the most important thing that I am truly proud of with my leadership. Furthermore, leadership in this context is also about knowing your strengths and weaknesses and making sure you fully utilise the strengths and consciously work on your weaknesses.

 

What key skills or attributes do you consider have contributed to your success in this role?

Coming from a very technical background, being in the kitchen of data since day one of my career, helps me to understand the underlying technology well, to make informed decisions, and to influence IT architecture. Another skill that helped me tremendously in this journey is to have the ability to build a multi-disciplinary data team and able to motivate/coach them on the data strategy. Needless to say, building bridges across the entire organisation and being a change agent are crucial attributes that are needed in this role.

 

How did you develop – and continue to develop – these skills or attributes?

Learning is a never-ending process. I do read a lot, every day, not only to develop myself but also to learn new skills and techniques that I can apply at work as well as use in my coaching exercises. I also attend meet-ups or seminars or roundtable discussions to share experiences and learn from other data leaders, which really helps to see different problems and how others are tackling leadership problems. Lastly, I try to keep myself in changing environments, try to challenge the status quo and bring new ideas, try new things continuously, which help myself and my team to keep up learning. Fail fast, learn fast is a lifehack we use in my team.

Is the data tech you have keeping pace with your goals and requirements? Are your providers leading or lagging behind your demands?

The data-as-a-service market is moving rapidly into a digital age. At the same time, we are seeing the emergence of connected cars generating huge amounts of data which gives us the opportunity to build our own data assets to monetise and serve cars as a service market.

 

For that reason, the first thing I did in my leadership was to build our next-gen data platform, called global data hub. I want it to be tech agnostic with an approach that I call Lego architecture. Considering the rapid change in the data technology market, we wanted to be flexible to adapt easily to those changing environments. Hence, the tech stack we selected is top-notch and the global data hub does not have any vendor lock-in problem. Our providers are mainly among the ones who are leading the market, but if we have any lagging tools, we are ready and fast to go to new technology if needed, thanks to our flexible architecture.

Tekin Mentes
has been included in:
  • 100 Brands 2022 (EMEA)