Who are we?
We are a Data Engineering and Data Technology Services Provider based in Auckland, New Zealand. We help our clients accelerate the delivery of their data projects and BAU initiatives. With our onshore, near-shore, and hybrid managed delivery model, we enable our clients to quickly realize the value from Insights. We facilitate the adoption of new technologies by providing the necessary skills and expertise to internal teams. We acheive this with a comprehensive service delivery framework and accountability structure.
Maintaining and growing data assets is a critical concern for many organizations. With the proliferation of new technologies and the high demand for skilled technical workers, companies often struggle to meet their needs in a competitive labour market.
Our managed delivery model offers end-to-end support and development capabilities to help clients respond to business needs more quickly and accelerate the delivery of time-critical projects and compliance requirements.
Our highly technical workforce serves as an extension of our clients’ internal IT teams, providing the skills and scalability needed to expand their data-driven insights capability or innovate in the fields of artificial intelligence and machine learning, while still meeting day-to-day (business as usual) priorities.
How are we different?
Delivering Results Faster
We are a team of doers and problem solvers. The focus of our organization is on delivering high-quality outcomes quickly. Speed and efficiency separate us from the others. Rather than taking a bandage approach, we proactively seek to resolve the root cause of the problem.
Honest and Agnostic
Changing the Narrative on People Strategy
How we have helped our clients
Identify the Critical Data Elements (CDE) across their Risk data infrastructure so that they can implement a targeted remediation plan to improve the quality of the highest value data required for compliance and regulatory reporting.
Design and build an analytical data store establishing a common information model across different data assets so that end user have faster access to data to build interactive reports, dashboards and analytical models.
Review of sales and performance reporting process to identify opportunities for automation, data quality improvements and enhancements of large number of legacy reports.
We take pride in our partnerships with best-in-class organizations, fostering a collaborative culture.