Unlock a world of insights with our team of experts.

Zero&One offers a wide range of analytics solutions based on AWS services to meet your data requirements and enables businesses of all sizes and sectors to use their data to reinvent their operations. Utilize the purpose-built services with the best price-performance, scalability, and lowest cost for everything from data migration to data storage to data lakes to big data analytics to business intelligence and machine learning (ML).

Smoother data journey

All-In Aproach

Data is a cornerstone of successful application deployments, analytics workflows, and machine learning innovations. Automate all of this into one and sigular solution to maximise your application's potential.

01

Data Migration

Move your legacy data sources to the cloud

02

Data Engineering

build automated data workflows and prepare your data to get in work

03

Data Operations

Support operationalizing and maintain your data processes

Benefits

Leverage our expertise gained from our tried-and-true industry skills

Our well-rounded services provide catered solutions to help organize and structure your data through clear pipelines to get you to your bottom line – actionable insights.

Data Location and Centralization

Solve all your data issues so you can have the proper data that pushes your company towards success. Data lakes can handle the scale, agility, and flexibility required to combine different data and analytics approaches. Build and store your data to gain deeper insights than what traditional data silos and data warehouses allow.

Data Democratization

Make your data accessible to your whole team with automated workflows that will allow teams to leverage the data and make it actionable. Analytics services are purpose-built to help you quickly extract data insights using the most appropriate tool for the job and are optimized to give you the best performance, scale, and cost for your needs. Define and manage your security, governance, and auditing policies to satisfy industry and geography-specific regulations. You can access your data wherever it lives, keeping it secure.

Data Pipeline Streamlining

Reach actionable insights as we guide you with a clear roadmap ensuring real-time monitoring and alerting, data lakes, visualization, data warehousing, analytics, or machine learning. The general flow of big data pipeline starts with data engineering practices as data ingestion and ends with drawing insights from this data. While there is no single method that works for all big data workloads, most workflows follow a general pattern. The pipeline starts with data collection, then it’s stored, analyzed and processed; after that, data is visualized.

Data Journey Kickstart

Getting started is extremely easy. Turn your data into actionable tools for innovation and optimization thanks to our know-how in data migration, data engineering, data science, and machine learning.

Business Intelligence

Powered by state-of-the-art machine learning tools, build your business intelligence dashboard where you can draw insights from your data and make data-driven decisions. Gain deeper and faster insights from your data utilizing the built-in ML integration as part of our purpose-built analytics services.

Re.life team transforms their decision-making process using AWS

Re.life Market and Re.life Collect’s data are each stored on a single DynamoDB table which is fitting for their applications but not suitable for data analytics, mainly due to the NoSQL nested object structure.