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Boosting Trade Efficiency

Creating a data strategy for a trading company to optimize its data assets and boost trade efficiency and innovation

Company Background

The Pakistan Single Window (PSW) Company was created to simplify trade and enhance the efficiency of cross-border transactions. By integrating various government agencies and private sector entities, PSW aims to streamline import, export, and transit processes, reducing both time and costs associated with trade.

PSW supports Pakistan’s commitment to facilitating international trade and aims to make doing business in the country easier.

Challenges

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Scattered Data Issues

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Issues in Data Quality

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No Data Strategy

The company was unable to generate value from its data assets. This stemmed mainly from the absence of a standardized data management framework, leading to data silos across various departments.

The company faced significant issues with data accuracy, consistency, and completeness, affecting decision-making processes across departments.

Without a clear data strategy, the company struggled to align data initiatives with business goals, leading to missed opportunities for growth and optimization.

Solution

Before building the company’s data strategy, Data Pilot first fully understood the organization, its goals and the complexities of cross-border trade.  

For the company’s data maturity assessment, we used the DAMA and CMMI frameworks, which are widely accepted in the industry. It provided both qualitative and quantitative insights into the company’s current state of data maturity 

We audit your existing data systems and map out a strategy for integrating and optimizing your data flows for better insights.

Through the insights gathered,

Data Pilot built the following:

Data Strategy and Architecture Implementation Roadmap

Data Pilot built a comprehensive 314-page data strategy guide that pinpointed how the company can leverage its data and resources to move to a tangible state of growth. 

API Monetization Model

Alongside giving guidance, Data Pilot also built an API monetization model that would enable the company to generate revenue from its data. 

Through these key deliverables, Data Pilot built a comprehensive data strategy that would enable the company to utilize its data to enhance its operational efficiency and generate revenue from its data. 

The Impact

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Industry Applications

Finance

With a data strategy, financial institutions can better detect fraud, tailor financial products to individual needs, and optimize investment decisions, leading to improved customer trust and profitability.

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