We deploy our people to a team composed of members with diverse skills, making sure that the mix of talent and capabilities suits the problems we’re solving. Just like start-ups, the Accenture Applied Intelligence team lives and breathes Agile methodology. It’s a process in which we continuously discover, analyze, build and revise to create the best solution. This approach ensures quality outputs at speed.
At the end of each sprint, we extensively discuss a solution’s benefits, focusing on value to customers, then collate all the learning, and use them in planning the next sprints.
Recently a large convenience store chain asked us to forecast sales of new potential locations and simulate the impact of building new shops on their existing stores in the same areas. After collaborating with retail experts, operation gurus, geographic information systems (GIS) data services and data scientists, we came up with machine learning models that utilize map data and identify stores that will be impacted by the new shops. The machine learning models also showed how much money and how many customers would be impacted for each store. We shared our insights without using PowerPoint. We did it all through a data visualization tool, allowing our data to tell the story. It was rewarding to see business leaders agreeing to our recommendations and making decisions based on the fruits of our collaboration.
When I’m not at work, I join triathlons, Olympic-distance races and marathons. My passion for data science goes beyond work. I enjoy logging all my training data using GPS and sensor technologies and regularly analyzing my performance. To date, I’ve accumulated 12,000 kilometers through swimming, biking and running combined, which is the distance between Bangkok, Thailand and San Francisco, USA.