Towards Better Data Engineering: Mostly People, But Also Process and Technology

The data engineering team at Sigmoid is responsible for creating automated data pipelines, helping transition from on-premise to the cloud in a cost-effective way, and more.
Sigmoid
While financial and e-commerce companies have already gone completely digital and are using advanced technologies, other industries such as retail and CPG are catching up. Traditional organizations that were hesitant to monitor anything apart from transactional data are now pumping resources to leverage data to optimize customer interaction and provide them with a personalized experience by understanding their preferences and responding quickly. They are also driving operational efficiency and innovating with business models and products to emerge better than their competitors. Much of this could be attributed to the lowered data processing costs and the emergence of newer platforms that have made tracking customer behaviour quite prevalent for these companies. However, the availability of such a massive amount of raw data has left companies struggling to use it effectively. This data is of no use until one derives insights to make business decisions. As the world consumes more and
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Picture of Shraddha Goled
Shraddha Goled
I am a technology journalist with AIM. I write stories focused on the AI landscape in India and around the world with a special interest in analysing its long term impact on individuals and societies. Reach out to me at shraddha.goled@analyticsindiamag.com.
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