DATA ENGINEERING

Turning Data into Decision Drivers

The enterprise of the future will thrive on data-driven decision making. We, at Wavelabs, create solutions across the entire value chain starting from discovery & aggregation, storage & transformation, modelling & analysis to advanced analytics & visualizations. We design smart data pipelines for the next generation enterprises that provide easier access to actionable data and drive deeper insights to support critical business decisions.

Data Pipeline

Wavelabs Data Pipeline

WHAT WE DO

We design smart data pipelines for the next generation enterprises that provide easier access to actionable data and drive deeper insights to support critical business decisions.

BIG DATA MANAGEMENT

Aggregating both structured and unstructured data across the enterprise and public domains into a data lake is critical to support downstream decision making and analysis for the new age businesses. Using industry leading tools and technologies, we build and automate the data pipelines for enterprises across the entire data lifecycle.

BUSINESS ANALYTICS & VISUALIZATION

Enterprises require a structured approach to evaluate the existing data and methodically analyze it for business relevance and decision context. We have expertise in using both commercial and open source tools to build dashboards that provide fine-grained access to the relevant key performance indicators (KPIs) for real-time monitoring.

DATA SCIENCE & INSIGHTS

Using an algorithmic approach to draw deeper insights from data will provide the winning advantage to the next generation enterprises. We partner with our customers to build data science driven solutions for forecasting, predictive analytics and optimizations which assist in business critical decision making.

HOW WE DO IT

Detailed source system analysis to discover, extract and aggregate the data across the enterprise without additional load on the source systems and achieving the desired throughput at the target.

A deep know-how of distributed data processing. We work extensively with open-source frameworks like Spark, to provide the required scale and agility in transforming large data volumes.

We have deep expertise in big data modelling specifically aligned to downstream systems for efficient consumption. Our data models have out-performed traditional data warehouses in speed, scale and coverage.

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