Turning data clutter into clarity

Impact at a Glance

• 80% Reduction in data accuracy complaints
• 50% Decrease in system performance issues
• Real-time data insights for swift revenue optimization
• Self-service reporting reduced data team workload by 60%

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Client

A high-performing travel and expense SaaS platform on its journey to unicorn status.

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The Challenge

Growing pains belong to every success story, but for this SaaS company, their data infrastructure was becoming more damage-good than helpful. As they expanded, their legacy reporting engine struggled to keep up, and what should have been a seamless data flow turned into a bottleneck, impacting every level of decision-making.

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Data accuracy blockers

Inaccurate data blinded decision-makers and led to lost chances while undermining trust in reports.

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Performance congestions

Report generation was like wading through quicksand, with long lead times that could not keep up with the fast-paced nature of the client's growth.

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Limited agility

Integrating new data sources was difficult as it slowed their ability to adapt to evolving needs.

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Burned-out data team

The lack of self-service capabilities meant the data team was constantly drawn under new requests, distracting them from strategic work.

Faced with exponential data growth and ever-changing use cases, they needed a solution to keep pace with their large ambitions.

Our team brought to life an empowering infrastructure and identified the opportunity to recast how the SaaS provider used data.

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Cloud migration

The data infrastructure was migrated to a cloud data warehouse for scalability and flexibility, consolidating the foundations to deal with growth and avoid performance issues.

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Autonomous data visualization system

Our user-friendly data visualization system enabled each team member to generate reports independently, freeing the data team while giving each user direct access to the relevant insights.

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Streamlined data pipelines

We supported current and future needs by building streamlined data pipelines and data marts, including advanced data science applications.

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Cumulative value delivery

Our infrastructure synced with business growth, allowing it to adapt, evolve, and thrive with them while prioritizing business needs.

The client could witness each improvement on the go, consequently allowing us to deliver instant value.

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Impact

Our inputs elevated the client from data clutter to clarity and absolute control.

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80% less data accuracy-related complaints

Accessing a single source of insights enabled the decision-makers to gain confidence and make smarter and faster decisions.

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50% drop in system performance issues

Reports that once took hours to generate were ready in minutes, accelerating the company's ability to respond to emerging trends.

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60% reduction in data team workload

With self-service capabilities, the data team could focus on strategic projects, driving innovation rather than putting out fires.

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Real-time revenue optimization

The new reporting functionality helped identify revenue gaps and opportunities, contributing to increased profitability.

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What they say

"Dataction pushed us to grow without restrictions and to focus on what we are great at, innovating for our users.'

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Insights

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Scalability is a must

As businesses grow, data infrastructure must expand seamlessly to safeguard high performance.

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Empowering users

The self-service tools reduced strain on data teams and accelerated decision-making across the entire organization.

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Cumulative value will set you free.

Delivering results in different stages ensured continuous improvement, client-centricity in product development, and almost 100% buy-in from stakeholders.

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