Big Data Analytics Services and Data Management Solutions

Big Data Analytics

Stop struggling with raw data. Benefit from data analytics consulting services to structure your data architecture to your business’s unique objectives to generate understandable, actionable solutions with a cloud service provider of your choice. We use best-in-class practices to manage the entire lifecycle of your big data, from collection to storage and processing. Using advanced analytics solutions, we’ll help you transform large and complex information sets into valuable information you can act on. With our big data analytics services, your teams can better predict and respond to changing customer behavior and optimize processes to make the best use of time and resources.

Data Engineering

If you’re struggling to turn raw data into useful information, our data engineers can help you manage your data or build bespoke data management solutions with accelerators such as ValueLabs’ Data Validator and SSRS Metadata. With an understanding of your business objectives, we’ll align your architecture with these requirements, organizing your data to ensure it is relevant and reliable. With the right data solutions in place, you can address business issues with confidence.

Cloud Data Services

Looking to move your data from a legacy system to a modern one? Modernize your legacy data platform, minimize disruption, and integrate frameworks that make data management and maintenance easier with our in-house performance boosters such as ValueLabs’ Data Migration frameworks, PowerBI Metadata & Governance, Salesforce xTractor, and Domo Metadata & Governance tool in the long run.

Client Success Stories

Snowflake data warehouse implementation for a leading UK health, safety and employment law service provider

The client wanted to revamp their existing data warehouse platform to overcome challenges such as user concurrency, poor query performance, and delayed reporting.

Implemented industry-leading design with Snowflake as a data warehouse
Used Talend as an ETL which helped to extract high volume data within minutes
Used Amazon S3 as a staging layer to copy/read data files
Used Python scripts to orchestrate data refresh to Snowflake
Faster decision-making and enabled with concurrent analyst login and query execution
Improved the reporting, quicker load, and execution time

Client Success Stories

Implemented the enterprise data platform for the largest tobacco manufacturing industry in the world

The client was looking to replace the existing tedious and manual approach to provision the environments and create a centralized one for multiple partners within the same business stream. They also faced scalability issues with the BI and Data warehouse platform and lacked a centralized repository of spokes data and common reusable master data.

Designed the solution architecture in terms of the reusable patterns that can be applied to data processing needs
Designed the ELT workflows to migrate the data from on-premise environments to Azure blob storage
Automated the source flat files movement across the containers in Azure blob storage

Client Success Stories

Building reporting DB for a leading auto-insurance company based in the US Business Insights platform & work towards enterprise DWH on Snowflake

Both a traditional star schema and denormalized tables in the Data Warehouse are used to satisfy internal and external reporting requests from our data presentation layers (e.g., Tableau). Business unit-specific ODSs, which store raw data collected from the OLTPs, form the Data Lake.

Measure revenue impact as a percent of total Mitchell revenue
Establish “Done Right” model

Client Success Stories

Modernization of Data Platforms

Implemented data modernization for the world’s leading maritime risk management and environmental assessment organization

Simplified architecture
Reduced processing time
Improved customer feedback

Client Success Stories

Reference Data Management for a Leading Media Agency

Developed a solution to track the performance of campaigns across various channels (including display, video, search, social, and affiliate) through KPIs such as clicks, impressions, ROI, and click-through rates

Implemented a holistic strategy with critical reporting
Provided advanced support for data analysis

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Data Services

Boost your relevance and revenue with customized data solutions from ValueLabs.

Technology is revolutionary. But it’s only as intelligent as the insights that fuel it.

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Data Services

Boost your relevance and revenue with customized data solutions from ValueLabs.

Technology is revolutionary. But it’s only as intelligent as the insights that fuel it.