Using DATA to solve your business problem in the New Retail era

To start a data analysis project, it is very critical to formulate a right data question at the first step. Our data consultants are ready to help you to well define a sensible use case and make sure your expectation can be met. Whether it is a predictive analysis or descriptive analysis, you must have a very clear idea about your business problem, the availability of data, possibility of other data sources, data quality, tool and model selections and the readiness of your company before you kick-off a successful data project. We can guide you to go through a practical feasibility study to ensure your every dollar spending make sense.


  1. Data Crawling

  2. Data Auditing

  3. Data Cleansing

  4. Data Enrichment

  5. Data Engineering

  6. Customer Data Analysis and Modeling



  1. Feasibility Study

  2. Proof of Concept/Early MVP

  3. Analysis and Design

  4. Technology/Dataset Selection

  5. Database Migration

  6. Ingest & Transform Data in Different Formats ( e.g. Structured, Semi-Structured, Unstructured)

  7. Discover Actionable Insights




Strong Data Collection Capability

Our leading anti-blocking strategies & data crawling capability can speed-up your data sourcing from different channels such as web, mobile app, social media channels, etc. and further enrich your datasets for analysis and discover any hidden correlation.



Integrate Education with Execution

Our big data corporate trainings have been receiving very encouraging feedback. Through our data courses or workshops, we can help you to build a good foundation of big data knowledge and assure your team members are on the same page before kick-start any data project easier.



Interpret Data from Business Perspective

With over 10 years of data cleansing and direct marketing experience for the retail industry, we are used to handle tens of millions of customer data and transactional data in a single project from the data consolidation, cleansing to analysis with a good match between the technical and CRM consultants.