Boosting Trade Efficiency
Creating a data strategy for a trading company to optimize its data assets and boost trade efficiency and innovation
Duration
April 2020
till today
Industry
Public
Sector
Services
Data Strategy
other 1, other 2, other 3
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
Manual Data Entry
The company was manually entering data into Google Sheets from various sources, including Facebook data like post likes, shares, and comments, as well as sales data. This manual process was time-consuming, prone to errors, and unable to scale with the business’s needs.
Manual Data Entry
Because of the manual process of data entry, the company grappled with significant issues related to data accuracy and consolidation. As the volume of data increased, the risk of errors grew, making it difficult to rely on this information for business decisions.
Manual Data Entry
Solution
Before building the company’s data strategy, Data Pilot first fully understood the organization, its goals and the complexities of cross-border trade.
- Data Management Maturity Assessment
- Big Data Solution Architecture Assessment
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
By relying on the maturity assessment and insights from the stakeholders, we proposed various options for Oracle-based architectures to address architectural gaps such as the lack of tools for MLOps and real-time analytics.Â
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.Â
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.Â
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.Â
The Impact
Positive client feedback
The project’s success was mainly measured by client feedback
and their acceptance of our gap analysis and
recommendations.
Reccomendations were adopted
The project’s success was mainly measured by client feedback
and their acceptance of our gap analysis and
recommendations.
Improved existing practises
The project’s success was mainly measured by client feedback
and their acceptance of our gap analysis and
recommendations.
“Data Pilot is helping Lulusar leverage data to create the optimal experience for its customers & business. Together, we are pursuing in-depth analytics and predictive modeling to optimize how we grow & retain customers.”
Saif Hassasn
Director Lulusar
Ready to Turn Your Data into Actionable Insights!
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Future Applications
Improving patient care in healthcare
This data strategy can help healthcare organizations keep their patient data clean and accurate and share it effortlessly across departments. Having accurate data on medical histories and past surgeries can help organizations improve patient care and the accuracy of their treatments.Â
Future Applications
Retail & E-commerce
A robust data strategy can help retailers manage their customer data, inventory, and sales data simultaneously. Getting a comprehensive evaluation of everything can help them improve the management of their inventory and better target their customers through personalized sales.
