What data sources can you integrate with? +
We connect to virtually any structured or semi-structured data source — relational databases (MySQL, PostgreSQL, SQL Server, Oracle), cloud storage (S3, GCS, Azure Blob), SaaS APIs (Salesforce, HubSpot, Google Analytics, Facebook Ads), flat files (CSV, Excel), and streaming sources (Kafka, Pub/Sub). If your system has an API or database connection, we can build a pipeline to it.
How long does it take to see our first dashboard? +
For a focused engagement with two to three data sources and a defined set of KPIs, we can deliver a first working dashboard within three to four weeks. We prioritise a rapid first delivery so you see real value early, then continue to add data sources and more complex metrics in subsequent sprints. Complex multi-source enterprise implementations typically reach full dashboard coverage in eight to twelve weeks.
Do you work with Vietnamese ERP and POS systems like MISA and KiotViet? +
Yes. We have direct experience integrating MISA AMIS, MISA SME, KiotViet, and other locally popular systems. We typically extract via their database layer or REST APIs and have pre-built connector templates that reduce integration time significantly. We also work with Sapo, Base.vn, FastWork, and other Vietnamese business software platforms that our clients commonly use.
How do you ensure data privacy under Vietnam's PDPA? +
Vietnam's Personal Data Protection Decree (PDPD, Decree 13/2023/ND-CP) requires businesses to protect personal data with appropriate technical and organisational measures. We implement role-based access control at the warehouse level, pseudonymisation and masking of sensitive fields in pipelines, data retention policies, and comprehensive audit logging. We can also advise on data residency requirements and whether your data should be stored in Vietnam or an appropriate foreign jurisdiction.
What is the difference between a data warehouse and a data lake? +
A data warehouse stores structured, processed, query-ready data with a defined schema — ideal for business reporting and BI dashboards where consistency and performance matter most. A data lake stores raw data of any format (structured, semi-structured, or unstructured) at low cost — ideal for data science, machine learning, and exploratory analysis. Most modern businesses need both, which is why platforms like BigQuery and Synapse support a "lakehouse" architecture that combines the benefits of both approaches in a single system.
Can you build custom dashboards for specific business departments? +
Absolutely — department-specific dashboards are our most common deliverable. We build tailored views for finance teams (P&L, cash flow, budget vs actuals), sales teams (pipeline, conversion, rep performance), operations (inventory, fulfilment rates, SLA compliance), and marketing (campaign ROI, channel attribution, customer acquisition cost). Row-level security means each team and each manager sees precisely the data relevant to their role.