Data is the new currency in the information age. A majority of companies want to make more data-driven decisions. Independently of where you are in your journey, we can help you locate your data, transform it, ingest it in a data warehouse, and analyze it to extract value insights. We have expertise in data engineering, data science, and machine learning.
Prepare the Data
We start by understanding the business use cases, and the kind of decisions we want to achieve. We then locate all sources of relevant data, and transform and clean the data to be able to aggregate it in a centralized location.
Build Ingestion Pipelines
We build automated ingestion pipelines to move the data into a data lake or warehouse. The method used will depend on the type of data ingested (IoT, events, logs, financial, etc.) and how fast we want to be able to act on it.
Analyze the Data
We build an analytics / machine learning pipeline to analyze the data. This can be Spark jobs that run daily on the data warehouse, or it can be streaming analytics that analyze the data in real-time as it comes in.
Take Automated Actions
We build an event-driven platform to take actions based on the results of the analysis. This can be a monitoring or alerting system, or it can be an IoT event bus that triggers actions in other devices. We also build visualization in this stage to better understand the data.
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