Unifying data across “People, Process & Platform.”
More than 500+ businesses of all sizes solve big data problems with our data engineering approach to get insights that deliver progress and transformation.
Our Data Engineering Services
Our data integration service is a focused, high-touch service that uses an agile approach to ensure that you receive the right data at the right time. We integrate all types of data, from the cloud, on-premises, IoT devices, and SaaS applications to any data format (structured or unstructured)
We provide reliable real-time access to streaming, enterprise and market data, while also providing secure data storage infrastructure. We offer batch processing and real-time streaming services, ranging from data ingestion to Change Data Capture (CDC) to publisher/subscriber.
Data can be messy, and it’s essential to put it into a structured format. Every time your application receives data, you will want to transform and enrich it. Our data processing services ensure that your data is stored in a way that accurately reflects the real world.
We specialize in providing secure, low-latency, redundant and scalable storage to efficiently store large amounts of unstructured, semi-structured, and structured data. Our object storage layer abstracts away the complexity of storage hardware so that you can focus on what matters most – your business.
Enterprise Data Management
We provide a consolidated approach to data protection, recovery, and storage management for customers of all sizes to help them realize full value from their data assets. We do this across physical, virtual, and cloud environments by providing quality data protection services and solutions for securing critical business information, reducing costs, utilizing storage as an asset, and to better manage compliance.
Enterprise Data Modelling
Our offering provides organizations with a robustly structured model of their entire data landscape, identifying business data, and IT impacts and producing highly specific ROI-based project plans.
Our data governance service focuses on the quality, confidentiality, availability, and integrity of data. We ensure your organization gets a clear internal data policy and data roles, identify and secure sensitive data, monitor access to resources, improve organizational awareness of data and overall data stewardship.
More than 500+ businesses of all sizes – from large enterprises to Fortune 100 companies solve big data problems with Zuci’s data engineering and analytics solutions to make better decisions for complex business problems.
Because you need answers to your business problems, and we are experts in infusing life into data and making it work for you.
actionable analytics projects
faster data reporting
reduction of operational costs
Round the clock support
CIO at Loris Gifts
“We had a challenge to quickly build a dashboard for inventory comparison across 200+ stores by Category and SKU. Zuci was able to successfully implement the tool and meet our aggressive timeline. Since then, they have helped us with multiple other key needs and the Zuci partnership has turned as a valuable one for us.”
Our approach built on experience
Built on experience, but tailored to your specific business problems.
A proven methodology
Our goal is simple: work closely with you to understand your business goals and objectives, then use our data & analytics framework to build actionable, data-driven insights and recommendations.
1 MAY 2016
Data is one thing, data in context is another. Understanding data context is the core of any data analysis project to filter out what is useful and what is not. We sieve and sort through your data, adding the human understanding born of our experience and knowledge.
1 MAY 2016
Data Architecture is vital for data & analytics projects. It focuses on how to secure, structure, and integrate data silos in a manner that supports business intelligence and reporting requirements.
1 MAY 2016
We will help set the data governance for managing the data assets of your enterprise data by determining who owns a data asset, where it is stored, how it can be used, who can use it and what they can do with it.
1 MAY 2016
Our data engineering phase of the framework establishes a bridge between your production data and the analytics teams. It supports them by providing a sound foundation for data, and it provides a long-lasting data structure for the analytic teams to mine.
1 MAY 2016
We start our data analytics framework with statistics, which is more fundamental and broader in scope. We analyze patterns and relationships within the data we collect, to help enterprises with core business problems.
1 MAY 2016
Data Visualization is the last step in the data and analytics framework. With our custom technology and tools, the data is consumed and arranged in charts, graphs, and other formats into meaningful visualizations that effectively communicate data insights to executives, non-technical employees, and key business stakeholders for faster insights and better decisions.