We work with your team to help you define your data strategy. With our years of experience, we help you convert high level business questions to data driven answers. We will understand what data is available with your team, the state of the current data pipeline, the challenges you are facing and what are the business questions. Subsequently, we will help you build a plan around what should be your high level data strategy to answer the questions, what are the best in market practices and what processes you should invest in.

Once you have a high level data strategy we will help you convert that into implementation. We will guide your team on the proposed data architecture, potential pitfalls to avoid, ways to minimize impact of change, and how to accelerate development. We also help you augment or complement your team either remotely or onsite so that you are always up to date with your data strategy and timelines.

We also have a specialized group of data scientists who take up predictive analytics and machine learning problems to solve diverse industry challenges. Their vast experience can be leveraged to realize the true potential of predictive analytics in your data. By building a robust data model, we ensure that you always stay ahead of the game. Typical use cases that we have solved in the past revolve around: preventive maintenance, trend forecasting, IOT sensor applications, fraud detection and many others. Read More >>

Sigmoid offers custom developed solutions to build robust and scalable applications on Hadoop. We implement an end-to-end solution, specific and personalized to cater to your dynamic requirements. We also ensure it integrates seamlessly with your existing data warehouse and BI investments. We first decide what signals and data sources to use, build integration pipelines and ETL jobs, then create data models to solve high level use cases and finally customize the way users want to access the data. Read More>>