We build models and reports with a strong engineering foundation so every new report is created faster. We have created our own “Agile Framework for Data” which is a unique process to eliminate risk and ensure success.
Our company was founded in the era of cloud and open source. We manage and run some of the largest systems in the cloud with about petabytes of data being stored in GCP, Snowflake and other cloud providers. We process close to about 300 terabytes of data across all of our customers with a strong engineering foundation, data expertise, and cloud knowledge that sets us apart from every other analytics company.
Q5 Sri: Solving the digital and analytics scale-up challenge in consumer goods is a real thing. How is Sigmoid helping its customers? Frank, please chime in with how your role helps take Mondelez forward on this?
Frank: While there are numerous companies in the market that provide business intelligence, data visualization, and analytics tools, Sigmoid actually addresses ‘data’. Instead of offering a nice looking dashboard, they look at your needs holistically and solve the business problem to get you the targeted ROI.
Mayur: As organizations become data-driven, the demand for data management and AI solutions to deliver personalized insights is increasing. The COVID-19 pandemic has only fueled this demand due to an online shift in the marketing and sales channels of brands. From not knowing how many customers visited the store to tracking shopping journeys of each customer on the online portal, organizations are exposed to rich information. In addition, online sales gives companies a measurable ROI. This also requires them to have a strong data management expertise to track data in real-time and iterate faster. Here, Sigmoid can help automate the data ingestion process from online retail for CPG companies to keep tabs on their performance in a seamless manner. We worked for a leading CPG company in the oral space to automate their entire data ingestion from online retail to track their sales and sales trends. Our solution helped them save $1.5 million from the get-go.