Contact: Lokanatha Settipalli
Country: UAE
Award Category: Innovative Problem Solver
Tell us about the business problem you were trying to solve.
The adoption of SAS Viya significantly enhanced our ability to process large volumes of data. Previously, we faced challenges in analyzing vast amounts of transactional and aggregated data. SAS Viya's in-memory processing engine allowed us to overcome these big data analytics challenges, enabling us to process data and gain insights effectively. This capability has been crucial in empowering business leads to monitor customer performance trends and make data-driven decisions.
What SAS products did you use and how did you use them?
At DPWORLD, SAS has been instrumental in our successful implementation of data analytics to achieve business objectives and strategy within the Commercial and Operations. As an Analytics Manager I have witnessed firsthand how we began by leveraging SAS Visual Analytics and Visual Statistics to answer complex business queries with a strong foundation in statistics and analytics. These analytical modules enabled us to uncover insights at unprecedented speeds and find new ways to look at our business problems.
As our analytics capabilities matured, we upgraded to SAS Visual Data Mining and Machine Learning (VDMML) and SAS Visual Forecast (VF), allowing us to implement all four pillars of analytics: descriptive, diagnostic, predictive, and prescriptive. SAS Visual Forecast proved particularly valuable in strengthening our forecasting use cases, blending various models to predict demand accurately by integrating multiple input variables.
The adoption of SAS Viya significantly enhanced our ability to process large volumes of data. Previously, we faced challenges in analyzing vast amounts of transactional and aggregated data. SAS Viya's in-memory processing engine allowed us to overcome these big data analytics challenges, enabling us to process data and gain insights effectively. This capability has been crucial in empowering business leads to monitor customer performance trends and make data-driven decisions.
What were the results or outcomes?
The adoption of SAS Viya significantly enhanced our ability to process large volumes of data. Previously, we faced challenges in analyzing vast amounts of transactional and aggregated data. SAS Viya's in-memory processing engine allowed us to overcome these big data analytics challenges, enabling us to process data and gain insights effectively. This capability has been crucial in empowering business leads to monitor customer performance trends and make data-driven decisions.
Why is this approach innovative?
The impact of SAS on our analytics capabilities has been transformative. It has empowered our business users as citizen data scientists and statisticians to solve previously unfeasible business problems by removing barriers created by data sizes, data diversity, and computational bottlenecks. This has led to greater productivity, faster insights, and more creative solutions to our most complex problems, ultimately driving our organization's success in leveraging data analytics for business growth.
