Each day, businesses realize the value of big data and how they can more accurately make predictions, reduce costs and maximize efficiency. The IoT surge continues to identify the advantages of big data and data mining in every industry. However, the volume of big data, the complexity of the data and the processing application software presents a new set of challenges for custom software engineers. Our team of Data Scientists have unique backgrounds and areas of expertise. They are ready to support data-driven decisions based on analytics and mining.
Tiempo Data Scientists are highly experienced in servicing data integration, data discovery, data mining, and behavior analysis of your company’s data ecosystem. Our team members come from a wide variety of backgrounds including predictive analytics and data visualization and analytics.
We work side-by-side with our clients’ IT team, using our proven Tiempo Quality System focused around a structured approach ensuring we meet the expectations and delivery needs of our clients. Our business discovery and analysis reviews to find value within data through a rigorous ETL and automation process, business projection optimization and modeling. Our team also has the scientific expertise required to create and deploy extremely complex algorithms.
Tiempo Data Scientists are equipped with a variety of data mining and automation tools to scale solutions as needed. We also help our clients configure and connect analytical tools for cross-department solutions, such as:
While many of our clients are large corporations with complex infrastructures and data volumes, our services will also help mid-sized companies realize the worth of their data. Our service pairs companies with experts, no matter the industry or data requirements. For the latest information, visit our press release and blog content. Some of our recent projects include:
– Based on system and user account logs analytics, a method was proposed for account sharing detection. This method helped the company to construct new business rules automated filters that reduced significantly their loss of revenue by users violating the service agreements.
– Our Analytics team helped a large Human Resources Assessment company, in the data integration of Human Resources employee candidate’s assessments databases with the periodic incoming employee performance metrics once they were hired, setting a data warehouse platform for further data analytics implementation of performance metrics monitoring.