Whether you're in fintech, healthcare, e-commerce, transportation or any other industry, we can help you leverage the power of AI to overcome your biggest challenges.
We use standard practices to perform ETL operations on big data using open-source big data tools such as Apache Hadoop, Spark, Hive. Strict measures are followed to ensure data security and protection.
We use algorithms in conjunction with statistical models to design systems that can learn to draw inferences from data without explicit instructions, thus automating the process.
Our data science solutions are built on a foundation of sound methodology and best practices.This ensures that the insights we provide are accurate, reliable, and actionable.
Ultimately, our aim is to design systems that are self sufficient, such that tasks can be portioned and automated without intervention. Our AI models are built to last.
We make sure to include our clients' parameters as well. This ensures that our recommendations are not just based on what the data reveals but also on what the data reveals about our clients' needs.
Our final report includes a summary of costs with recommendations on minimizing them, as well as a summary of revenue and untapped potential in the domain.
Whether you're in fintech, healthcare, e-commerce, transportation or any other industry, we can help you leverage the power of AI to overcome your biggest challenges.
Upon getting notified of the business probem and the limitation of data collected, we begin our due diligence. This usually entails validating data, checking for inconsistencies and bias, as well as updating our client on industry practices in data storage and collection.
At this stage, we have access to the data granted by the client. Since we have already validated the data, we can proceed to cleaning and processing. Processing entails deciding on the best course of action as it pertains to the kind of data analysis model or machine learning algorithm that fits the data.
Immediately following the processing and analysis stage, we verify the findings and pass on the results to our vis team. In the case of complex problems, we can use Tableu to visually represent data to support the recommendations made by our model in the last step.
We guarantee actionable insights from any amount of data. Our collective experience enables us to dissect and reconnect complex data, revealing meaningful stories.