This multinational technology company is one of the largest of its kind in the world and is listed on the Fortune 500. It serves a global customer base in 180 countries and has extensive R&D and manufacturing operations worldwide.

CHALLENGE

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The organization’s reporting and data workflows were heavily manual, fragmented, and difficult to scale.

Social data was ingested manually through tools and spreadsheets, while reporting relied on complex, isolated processes that required significant effort to generate insights. Data preparation and cleansing were time-consuming, and report execution depended on system performance, limiting speed and reliability.

• Manual data ingestion: social data manually ingested using sprinklr widgets in excel.
• Complex reporting: ssis packages run for individual reports, fetching data from sql servers.
• Limited scalability: reports uploaded on sharepoint, with execution time dependent on td performance.
• Inefficient processes: heavy manual intervention for data cleaning and preparation.

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SOLUTION

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Aligned Automation implemented a centralized, automated data platform to unify data sources, improve quality, and enable real-time reporting.

A data lake architecture was introduced to consolidate all data into a single environment, supported by automated pipelines for ingestion, cleansing, and enrichment. Advanced dashboards provided real-time visibility, while automation reduced manual effort across the reporting lifecycle.

Key capabilities included:

• Data lake consolidation: unified all data sources into a single data lake.
• Quality and enrichment: improved data quality and derived essential metrics for business decisions.
• Dashboard creation: built Power BI dashboards for real-time monitoring and decision-making.
• Process automation: automated most of the manual tasks, reducing weekly effort significantly.
• Data cleansing and enrichment: review output through a data quality scorecard.
• Repopulate the data: merge enriched data from the staging area back into the source while managing dependencies.

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What Changed

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Data and reporting operations evolved from manual and fragmented to automated and scalable.

The organization significantly reduced manual effort, improved data accuracy, and gained real-time visibility into performance, enabling faster, more reliable decision-making.