The client is a food service company. They requested InData Labs to help with outdated datasets migration.
We’ve analyzed the client’s requirements and needs and helped them migrate to cloud infrastructure with ease. For now, the client can visualize business insights and improve decision making.
The client is a chemical manufacturer. They needed an efficient solution to analyze chemical mixture compositions and product test results.
The InData Labs team proposed developing an analytical solution for real-time sales and product analytics. Using it, the client can now visualize historical data and extract insights.
The client is a data center firm. They contacted InData Labs to aid them with custom software for Big data analysis and KPIs visualization.
Our team has provided the client with an innovative BI solution for real-time business analytics and reporting. The solution improves operational efficiency and business planning.
The client is a construction company. They needed to strengthen their AI platform with BI.
The InData Labs team managed to find a way for data collection, analysis, processing, and visualization. We created a BI solution for real-time workflow monitoring across the company, which improved KPIs and scale up business processes.
The client is a baby care app developer. They wanted to scale up data collection and reporting.
The InData Labs team implemented BI into the client’s existing solution to detect inconsistency issues. We’ve also made changes to the existing client’s reporting system so it could work properly.
Data engineering means making unstructured data from different sources understandable and usable for data scientists and other individuals within the company for making data-driven decisions and achieving business goals.
Data engineers help businesses collect, analyze and translate the masses of data into business insights.