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services – Data management

master your data to unleash
business potential

a quick overview

Data is the lifeblood of modern businesses, but managing it effectively can be a complex challenge. UnoLabs provides comprehensive data management services designed to help organizations of all sizes overcome these challenges. We go beyond basic data collection and storage to offer a holistic approach that optimizes data utilization across your entire enterprise.

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services

data governance

Designing comprehensive data governance standards & policies to ensure data availability, seamless integration, optimal quality, stringent security measures, & appropriate usage protocols. Assessing the current data governance standards & policies.

data architecture

Developing a robust data architecture framework to oversee the data, encompassing its capture, integration, storage, analysis, and utilization. Conducting audits of the data architecture to ensure alignment with the overall enterprise strategy.

data storage & management

We design & implement storage solutions that can accommodate datasets of varying scale and format. Leveraging data lake, data warehouse, & hybrid storage solutions. We evaluate and select the most suitable storage technologies.

steps to data management

1

data assessment & strategy

Conduct an in-depth assessment of data sources, formats, & requirements. develop a strategic plan outlining
data management objectives, infrastructure needs, & governance frameworks.
2

data storage & governance

Choosing the appropriate storage technology based on data volume, access patterns, & cost.
Implementing robust security measures like encryption, ACLs, & RBAC to restrict data access.
3

data exploration & analytics

Utilize advanced analytics techniques such as ML & predictive modeling to derive insights from data.
Creating interactive dashboards and reports to communicate data insights effectively to stakeholders.
4

data quality management

Regularly profiling the data to identify potential quality issues like missing values, inconsistencies, and outliers.
Data quality monitoring tools can be used to track data quality metrics over time.
5

data archiving & retention

The final step focuses on managing data over its entire lifecycle & ensuring regulatory compliance.
Establish monitoring systems to track data usage, performance, and compliance.

see the proof of our data management work.

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Optimizing beverage SKU pricing with data analytics

Problem statement: Our beverage company offers a variety of SKUs,…

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Transformative data engineering for a major retail chain

Background: Client: A very large retail chain which is a…

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Accelerating monthly data analysis with generative AI

Problem statement: Top executives require timely insights from monthly data…

ready to streamline your data processes!

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