Since historic times, art is used to communicate messages and values AND IS is usually portrayed separately from technology. Meanwhile, we are constantly seeking of more effective ways to communicate data-driven insights and findings to different stakeholders. In this session, we will hear more about how we can combine art and technology to engage users using data visualization.
Everyday, we solve many problems from deciding our outfits to selecting which marketing campaign to run. Different problems require different solutions, and there is no one size fits all answer that can solve all problems. However, with the right way of thinking, we can tackle any issues in our day-to-day tasks.
Being in the central team at Tokopedia we have the responsibility to determine standards that can be applied to 400 services that have different characteristics and needs. The DevOps team, which has 15 members, is also required to solve the problems faced by 1,000 engineers spread across 32 tribe teams and 3 countries namely Indonesia, India and Singapore. Moreover, the engineers are mostly Gen Y and Gen Z individuals who prefer self-education and doing all processes independently. Those 3 factors put together have created the motivation for the DevOps team to build a DevOps culture and mindset in Tokopedia.
The four Vs of Big Data: Volume, Variety, Veracity and Velocity increases the complexity of handling Big Data for many companies. Considering those factors, there is a need to have a well-planned data architecture so that we are still able to use the data to generate insights regardless of the complexity. In this session, we are discussing how can we build an effective data warehouse design that enables the data to be usable and accessible for all stakeholders.