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Work / Self-Service Analytics for Peru’s Tax Authority, Through a Record Collection Year

Self-Service Analytics for Peru’s Tax Authority, Through a Record Collection Year

Data Warehouse + Self-Service BI · Multi-Year National Program

Client
Challenge

SUNAT, Peru’s national tax and customs authority, needed to strengthen its capacity for analysis and timely decision-making — putting information directly in the hands of end users, drawn from its integrated data warehouse and governed by appropriate security. The goal was to turn a large, sensitive body of regulatory data into something analysts and decision-makers could explore themselves, so the institution could act faster on the decisions that improve its processes and advance its objectives.

Factories

Business Analytics + Data Engineering

Engagement
Project

The Approach

AYNITECH built and operated the analytics platform for SUNAT, pairing data-warehouse modelling with a self-service analytics layer on MicroStrategy. The work mapped ten data sub-models from SUNAT’s integrated data warehouse into a governed environment spanning production and a separate development and test environment, provisioned more than 130 named users across web, extranet and mobile, and delivered roughly 3,000 person-hours of analytical-model development — turnkey, with a full training program and multi-year specialized support.

The Result in Context

In 2021, SUNAT reported its highest tax collection in seven years — nearly 140 billion soles (around US$35.3 billion), equal to 16.1% of GDP, up 44.4% on 2020 and 19.2% on pre-pandemic 2019, and roughly 13 billion soles above the multiannual macroeconomic projection. The authority’s superintendent attributed the result to Peru’s rapid economic recovery and high international metal prices, together with more than 6,600 million soles recovered chiefly through control and collection actions, and what he described as the institutional strengthening of SUNAT. Data-driven control, collection and decision-making of exactly that kind is what the analytics platform AYNITECH built was designed to support — giving the authority a single, governed source for the analysis behind its reporting and its enforcement.

Collection figures reported by SUNAT, via the EFE news wire (swissinfo.ch), January 2022. AYNITECH provided the analytics platform supporting SUNAT’s analysis and decision-making; the reported result reflects many factors and is not attributed solely to the platform.

At a Glance

  • Ten data sub-models (~85 tables) mapped from SUNAT’s integrated data warehouse

  • ~3,000 person-hours of analytical-model development

  • 130+ named users (expert and consumer profiles) across web, extranet and mobile

  • Separate production and development / test environments

  • Turnkey delivery with administrator, technical-BI and end-user training, plus multi-year specialized support

Why It Matters

A national tax authority is among the most sensitive environments a technology partner can serve — combining high-volume regulatory data, statutory confidentiality and audit-trail expectations with multi-area, self-service BI delivery. Sustaining a platform of this kind at national scale, through a record-setting collection year, is direct evidence of AYNITECH’s ability to build the analytical backbone that an institution of national consequence relies on for control, collection and reporting.