Real data scientists are business-savvy professionals with the special power of mathematics and technology. When I was t

“What’s wrong with me?” You wonder. Probably nothing. You aren’t alone, either. It’s common to have a little bit of mess around the house when you work 40 hours a week, have children, and all you want to do when the weekend comes is to relax and have fun!

Tired and anxious by the situation, the mess around me, and the constant feeling of drowning when entering my bedroom, I decided to clean up for good and take back control of my space.

I’ve been a pack rat for years; I had a job and wanted to buy whatever I desired only for the pleasure of having that particular item. Over the years, I realized I had more clothes and objects that I could actually wear or enjoy.

In summary, organisations need to truly invest in identifying true data scientists and data science leaders. The exercise might be excruciating. I recently met a few organisational leaders who are undergoing such a change. They had the courage to hire and identify leaders who understand business, mathematics, and technology. This is a transformational shift from the traditional PhD dominated or “General Manager” type business leaders.

I decided to take a room at the time, starting with my bedroom. The first thing I did was throwing everything out! I moved stuff from the wardrobe on the bed or table — the items on the floor were relocated in the hallway.

Recently, I was helping an organisation to improve its customer experience for enterprise customers. These large corporate customers had an extremely variable and length order fulfilment time from 4 weeks to more than 24 weeks! The Data Science team was able to stitch together the process flows from disparate data source systems. This included the discovery of data entry inconsistencies, wrong data structure, revenue leakages, and many more. We were successful in this project because the data scientists are strong business-savvy professionals. Apparently, there were many unsuccessful attempts on this project over the past two years. Overall we were able to significantly reduce the cycle time to an average of 4 weeks and drove higher data quality through a new governance framework.

The list goes on. Data Science is the key to an outstanding customer experience in the digital world. Unfortunately, many business and marketing leaders I work with do not see the potential yet. Usually, it is limited to reporting or digital campaign execution. Most of the decision making is still relatively gut-feel.

Check out my other articles if you want to learn more about practical and impactful data analytics topics. If you have further questions or topic suggestions, feel free to connect and message further through LinkedIn.

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this bizarre realization that his mind stopped. He was fully conscious, but there were no more thoughts. He was then drawn into what seemed like a vortex of energy and could feel himself being sucked in. Suddenly, there was no more fear, and he let himself fall into the void.

Happy customers lead to happy and profitable organisations. Recently, there is a strong organisational push on where executives are now measured on indicators such as Net Promoter Score (NPS), Dispute Resolution, Cycle Time, SLA (Service Level Agreement) Compliance, Opt-Out Rate, and many others.

Once we establish that Data Science allows organisations to interact with their customers and provides a trusted, unbiased and forward-looking business advice, we are able to understand that data science is the key component in achieving the above customer experience metrics.

You look around yourself and see all sorts of stuff piled up or randomly thrown in what once was a clear space. You get mad at yourself for not being able to clean up your mess once and for all.

About the author: Albert Suryadi is a proven leader in enabling advanced analytics and data science capability in blue chip organisations. He is recognised as the leader of the Analytics CoP (Community of Practice) that empowers and motivate others beyond the status quo.

From my real-life observation, organisations that are able to truly realise the value of data science treat their data scientists as business partners. Having said that, there is a strong uphill battle due to an existing stigma or perception that divorces business and data science. I foresee that the upcoming data science revolution would be driven from a consulting background or mindset.

About the author: Albert Suryadi is a proven leader in enabling advanced analytics and data science capability in blue chip organisations. He is recognised as the leader of the Analytics CoP (Community of Practice) that empowers and motivate others beyond the status quo.