Boosting Trade Efficiency
Creating a data strategy for a trading company to optimize its data assets and boost trade efficiency and innovation.
Duration
22
days
Industry
Public
sector
Services
Data Strategy
other 1, other 2, other 3
Tools And Technologies
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
Scattered Data Issues
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.
Issues in Data Quality
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.
No Data Strategy
Inability to consolidate information from various sources prevented the company from obtaining a real-time, accurate view of their sales and marketing performance. This made it hard for them to decide when and where to sell their products, which cities to focus on, and which channels would bring in the most revenue for them.
Solution
Before building the company’s data strategy, Data Pilot first fully understood the organization, its goals and the complexities of cross-border trade. Â
- Data Management Maturity Assessment
- Big Data Solution Architecture Assessment
By integrating information from sources like Meta, Shopify, Google Analytics, and their point-of-sale systems, the solution
- Provided the company with a 360° view of its sales across both its e-commerce and physical stores.
- Eliminated the need to log into multiple systems, enabling a consolidated view of sales performance.
- Helped refine the company’s marketing strategies by giving its employees comprehensive insights on campaign performance and customer behavior. This ensured that budgets were effectively allocated to maximize return on investment (ROI).
Analytics dashboards were built to better make sense of this huge amount of data. These dashboards showed key performance indicators (KPIs) such as daily net revenue, total orders, and units per transaction for both channels, as well as city-wise and branch-wise sales for retail. They also showed sales figures for each article sold along with a visual of that article so designers can compare which ones performed better and why.
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
Positive client feedback
The project’s success was mainly measured by client feedback and their acceptance of our gap analysis and recommendations.
Recommendations were adopted
By eliminating countless hours of manual data reconciliation, the solution enabled the company’s teams to use their free time to focus on core initiatives rather than drowning in spreadsheets.
Improved existing practises
The solution enabled the company to A/B test its marketing campaigns across channels, helping it maximize its ROI on promotional spend.Â
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Industry Applications
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.
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