Meet Conviwalk Ltd, a fashion brand distributor that consigns with department stores.

The operation involves three scattered data sources, which increases the risk of human errors and lags when delivering consolidated insights. The data sources are:

• Outlet sales data received via email.
• Its own system that tracks inventory logistics between factory, head quarter, and outlets.
• Outlet and head quarter stock opname, which is paper based.

We start with a discovery meeting to identify

1. Conviwalk Operating model
2. KPI (what information that management need to monitor)
3. Existing data source (what data that are available to measure the KPI, and their samples)
4. Existing tech stack (what infrastructure resources that are already available or need to be acquired as part of the project)

To automate daily consolidation, trend capture, visualization, and alerts, we develop analytic infrastructure that features

• Automation that fetch sales data from email.
• Stock opname app for digital transformation from paper works.
• Automated daily message to management containing high level summaries.
• Self-service dashboard showing KPI metrics that are automatically updated daily

Implementation Roadmap

The analytic infrastructure's scope is determined by the four business activities it encompasses: Principal Supply, Outlet Supply, Stock Opname, and Outlet Sales. For the Stock Opname, an extra effort is required to develop an application, hence it is delivered in stage 2 after first delivery that encompasses Principal Supply, Outlet Supply, and Outlet Sales. Payment is required monthly in advance for

• Platform required to run the analytic infrastructure, such as web and database host.
• Developing the analytic infrastructure's components as planned in the roadmap.
• Maintaining the analytic infrastructure's components that are already live.

One day, a new department store opens at a location where there are no existing consignees around. This is where we handle ad hoc financial projection to assess the opportunity.

To ensure we are always available for your ad-hoc analytic and financial projecting needs, we offer a flexible monthly retainer. We’ll start with a few 'Scope Units' and easily scale as your business grows. It’s about giving you peace of mind without overcommitting your budget. A scope unit of analytics fits a deep-dive inquiry into a specific trend using up to 3 primary data sources. A scope unit of financial projection fits 15 key drivers, with built-in scenario and sensitivity analysis.

Identified result of free-withdrawal initiative where the participants maintain 16% higher saving balance and contribute 11% higher transaction revenue compared to target users who did not participate.

Identified behavior of payroll customers where half of their savings balance is transferred out to another bank within 2 days after pay day, then fully transferred out within 1 week after pay day.

Identified correlation between activity and saving balance where users who do more than 4 monthly transactions keep 3x highest saving balance, compared to those who do less than 4 monthly transactions.

Automated (1) Data pipeline and Photo Gallery for fraud monitoring on e-kyc, (2) Data capture from web portal with login, (3) Report delivery via email - Saving labor cost as much as daily 3 man-hours of Report Preparation while ensuring 100% accuracy.

Delivered Dashboard for various business departments (E-Channel, Liabilities, Lending) Save labor cost as much as daily 5 man-hours of Report Preparation while ensuring 100% accuracy. Provides timely visibility on issues that impact user engagement level, such as drops in registration funnel, active users and churns, and transaction failures.

Identified persona of high LTV customer to help sales strategy - Contributing to Bancassurance Premium Rp 2.5 billion by end of year 2019

Automated data capture from reports received from a partner via email Saving labor costs as much as daily 1 man-hour of Bancassurance report preparation while ensuring 100% accuracy.

Support tactical initiatives in Supply Chain Financing business by identifying gaps between client invoice and loan utilization, to help strategy of Customer Relationship Managers in optimizing loan utilization - Contributing to consignment loan portfolio Rp 150 billion by end of the year 2022.

Profiling business performance of mall merchants based on their rent and service payments to the mall via virtual account, for offering loans - Contributing to loan portfolio Rp 16 billion by end of the year 2022.

Developed Inventory Management System to monitor loan collateral for debtors who received credit facilities, using their inventory as security - Contributing Rp 260 million revenue in facility fee of consignment loan in the year 2021 to 2023.

Delivered Dashboard for various business departments (E-Channel, Liabilities, Lending) Save labor cost as much as daily 5 man-hours of Report Preparation while ensuring 100% accuracy. Provides timely visibility on issues that impact user engagement level, such as drops in registration funnel, active users and churns, and transaction failures.

After launch of new mobile banking application supports conversion of existing customers to use the application by (1) Executing Whatsapp, Email and SMS campaigns, (2) Support leads data to research team, (3) Support leads data to Customer Relationship Managers - Contributing acquisition result of 66 thousand new users during the first year since launch.

Developed tracking system for credit underwriting process , resulting in a reduction in time to Insight from hours to instant.

I operate on a "Zero-Trust, Zero-Copy" framework. My priority is turning your data into insights without ever compromising your security posture or legal compliance. My Philosophy: Insights belong to the business; data belongs in the vault. I provide the brainpower without the baggage of data migration risks.

Environment and Ownership

I do not move your data to my personal devices. I work where your data lives.

• Client-Owned Infrastructure: All development (SQL, Python, BI Dashboards) happens within your cloud or local environment.
• Total Kill-Switch Control: You manage my credentials. You can revoke my access at any second, instantly terminating my ability to view any assets.
• Asset Vesting: 100% of the code, queries, and documentation created belong to you from day one.

Regulatory Compliance

I align my workflows with Indonesia’s Personal Data Protection Law (UU PDP No. 27/2022) to keep your business audit-ready.

• Data Minimization: I only request access to the specific columns required for the business logic.
• PII Filtering: I proactively exclude Sensitive Personal Data (Health, Biometrics, Finance, etc.).
• Aggregation First: If trends are needed from sensitive data, I guide your team to aggregate it before I access it, ensuring I only see anonymized patterns.
• Incident Response: Guaranteed 72-hour notification window in the event of any security anomaly

Transparency and Delegation

• Pre-Approved Tools: I will never introduce a new tool or third-party service into your pipeline without a security disclosure and your written approval.
• Vetted Delegation: If a project requires additional hands, every delegate is bound by the same strict NDA and security SOPs that I follow.