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A Story of Owning Change

Elevating Data Engineering and Business Intelligence Analytics

TEKsystems supports a global life sciences leader by rapidly scaling a high-performing data team to revitalise a critical data migration project, modernise BI analytics, and drive Snowflake adoption.

3+

data subject-matter experts deployed

100%

on-time fulfilment of key milestones

Snowflake and Power BI capabilities integrated

Elevating Data Engineering and Business Intelligence Analytics

OWNING CHANGE IN HEALTHCARE

Our client is a market-leading life sciences and biotechnology conglomerate, impacting over 100 million customers across 130 countries worldwide.

Elevating Data Engineering and Business Intelligence Analytics

The challenge:Data Dilemma

As part of their IT transformation roadmap, our client’s Japan entity sought to enhance their in-house data engineering and business intelligence (BI) analytics capabilities. Data visualisation tools such as Power BI would be adopted organisation-wide, with a long-term objective of transitioning to the Snowflake suite.

However, driving this data transformation was no easy feat. Our client’s in-house team relied heavily on Microsoft Excel and other basic tools for data collection, cleansing, and analysis. Their existing vendor had struggled to deliver on key personnel requirements, thereby compromising team capacity and capability.

Additionally, a mission-critical data migration project was facing significant delays and high turnover. As a result, our client sought a new partner who could prioritise their needs, deliver high-quality outcomes, and maximise their technology ROI.

Our proposal:Comprehensive Capabilities

Leveraging our long-standing global partnership and proven capabilities supporting complex data initiatives in Japan, TEKsystems was engaged to support this high-stakes transformation. Our ability to rapidly scale the data team with seasoned experts, while maintaining cost-effectiveness, was a key component of our solution.

Using a referral-based approach and tapping into our existing network of pre-qualified talent, our Osaka delivery team quickly shortlisted high-calibre consultants across the required skillsets. All consultants deployed had the desired technical and cultural fit – demonstrating strong ownership, work ethic, operational excellence, and a solution-oriented mindset. This was key to minimising their time-to-productivity post-onboarding, enabling them to make an instant impact in supercharging project delivery.

Elevating Data Engineering and Business Intelligence Analytics

Real-world Results

TEKsystems deployed a high-impact, three-member squad comprising a Senior Data Engineer, Data Analyst, and PMO Analyst. Each consultant was bilingual in Japanese and English and experienced in delivering initiatives of comparable scale, complexity, and urgency.

Drawing on deep domain expertise and Agile best practices, TEKsystems’ consultants significantly enhanced our client’s data engineering, management, and business intelligence capabilities. Our Senior Data Engineer, a specialist in the life sciences and biotechnology domain, led the development of proof-of-concepts and spearheaded Snowflake adoption to optimise data lake management and unlock advanced insights.

By embedding best practices, accelerating automation, leveraging effective tooling, and streamlining processes, the TEKsystems team completed critical project deliverables in just two days – milestones that had previously taken the incumbent vendor three months. With strong cross-functional collaboration and an innovative approach, our team also alleviated several vendor management and operational burdens from our client, allowing their IT leadership to focus on other strategic priorities.

In parallel, we introduced new BI tools, uplifted data quality, and delivered monthly KPI and SLA dashboards along with project status reports. These have been instrumental in enhancing visibility, reducing implementation risks, and strengthening compliance and governance – culminating in the on-time delivery of these flagship data initiatives.

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