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Our Approach

Skylytics took the client through a Data Discovery process to identify key data processes & pipelines as well as related data transformations and data quality needs. Through this Skylytics identified a number of key areas where the data pipeline could be streamlined and improved. The overall result was a 50% increase in revenue-generating capacity with the same number of data scientists and personnel.

Unified Data Pipelines

Skylytics took a number of existing discrete data pipelines and unified them into Microsofts Data Factory. This resulted in a more industrialized data pipeline with true scalability.

Unified Data Pipelines

Skylytics took a number of existing discrete data pipelines and unified them into Microsofts Data Factory. This resulted in a more industrialized data pipeline with true scalability.

Standardized Data Processes

Through the Data Discovery Skylytics identified a number of repeated data processing steps being performed on an individual basis. Leveraging the new industrialized pipe line Skylytics was able to reduce the number of repeated & redundant process by a factor of 10x.

Standardized Data Processes

Reduced Operational Cost

Unifying the overall data pipeline and processing resulted in a >50% reduction in data costs and increased the clients revenue generating capacity by >50%.

Reduced Operational Cost

Unifying the overall data pipeline and processing resulted in a >50% reduction in data costs and increased the clients revenue generating capacity by >50%.

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Data Analysis for an Online Gaming Company

Resolving Data Validity Issues Enables Closing of Additional Funding Rounds for Online Gaming Company

Analytics

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Mitigating Potential Revenue Leakage with Graph Database

Utilizing A Knowledge Graph to Manage Business Risk and Complexity

Analytics

Strategy

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Restless Network

Social Media App for a safe space for women online

Development

UI/UX

Mobile App

Scaling The Business

This client aggregates data from numerous electricity energy providers to determine the effectiveness of programs such as Energy Saves rebates targeted at consumers who purchase Smart Thermostats and other energy-saving devices. The client's #1 issue was being able to scale their data science operations & processes.