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services – Analytics

harness data analytics
to amplify growth

a quick overview

At Unolabs, we stand at the forefront of data analytics services, offering advanced solutions to enable organizations to leverage their data effectively for strategic decision-making. With deep expertise in AI and ML, our team excels at deploying sophisticated algorithms and models to extract actionable insights from complex datasets. We empower businesses to uncover hidden patterns, anticipate market shifts, and dynamically respond to evolving trends. 

meet the team

services

data strategy

We create a robust data strategy aligned with your enterprise objectives, leveraging data across all use cases, encompassing AI, analytics, and other digital applications. Ensure seamless integration and utilization of data assets to drive innovation.

data modernization

Optimize data transformation processes seamlessly across diverse cloud environments, leveraging a suite of data accelerators. Seamlessly integrate with infrastructure providers such as IBM, Adobe, AWS, Microsoft, SAP, & Salesforce.

AI & advanced analytics

Empower your business with AI, ML, & automation, facilitating support for the entire data science lifecycle. Seamlessly navigate through data exploration, model deployment, & monitoring stages for data-driven operations.

steps to analytics

1

data acquisition & preparation

Acquire data from diverse sources and perform preprocessing tasks such as cleaning
and transformation to ensure data quality and accuracy of insights.
2

exploratory data analysis

Conduct EDA to uncover patterns, correlations, and insights within the dataset
using statistical methods and visualization techniques.
3

model development & evaluation

Develop predictive or descriptive models using machine learning or statistical
techniques and evaluate their performance using appropriate metrics.
4

model deployment & integration

Deploy the trained models into production environments, integrating them
with existing systems to enable real-time or batch predictions.
5

monitoring & optimization

Continuously monitor model performance & data quality, optimizing models periodically & incorporating
feedback to ensure effectiveness & relevance over time.

see the proof of our analytics 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 align your data strategy with business goals?

connect with unolabs core team
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