we are

Transforming Data and Evidence into

Decision Intelligence

Patira Data Science develops intelligence systems that integrate fragmented data, documents, public information, geospatial evidence and institutional records to support better decisions across business, government, research and development.

Patira Data Science is a global data science and intelligence company with operations in the United States and Uganda, supporting organizations across multiple countries and sectors.

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Struggling to Sustain Business

Growth for any of these reasons?

You’re drowning in data but struggling to turn it into actionable insights.

You’re struggling to keep up with changing customer preferences and market trends.

You’re seeking ways to optimize pricing strategies and revenue management based on data-driven insights.

You’re experiencing data quality issues that are compromising the accuracy and reliability of your analyses.

You’re having trouble identifying the root causes of problems in your operations or customer experience.

You’re finding it difficult to scale your operations and maintain efficiency as your business grows.

You’re facing difficulties in predicting and mitigating risks such as fraud or cybersecurity threats.

You’re lacking the necessary expertise and resources to effectively analyze and interpret your data.

Patira Can Help You With

Research & Data Analysis

We understand that developing a clear marketing strategy begins by asking the right questions and these questions are answered only by thoroughly collecting, reviewing, and analyzing your data to uncover opportunities.

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Artificial Intelligence

We’ll create custom AI solutions that help you streamline your operations, reduce costs, and improve customer experiences. Chatbots, predictive models & recommendation engines.

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Business Intelligence

As important as it is to understand your business now, it’s just as vital to understand how it will do in the future. With our business forecasting, we’ll use predictive analytics to not only help your company.

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Advancing Global Health Through Innovation

We are at the forefront of advancing global health by enhancing pandemic preparedness and combating antimicrobial resistance (AMR) through an integrated One-Health approach. By harnessing the power of bioinformatics, data science.

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Our Partners

How It Works

Understand the Decision Problem

Define the operational, policy, research or business decision that needs to be supported.

Integrate the Evidence

Bring together institutional, public, geospatial, research and other relevant data.

Build Intelligence

Apply data science, AI, GIS, statistics and domain expertise to identify patterns, risks and opportunities.

Validate

Assess source quality, corroborate findings and incorporate expert or field verification.

Deliver Decision Support

Provide dashboards, alerts, briefs, models, APIs or integrated systems that help users act.

What our Clients Say About us

Data Science

Insights From Patira

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Data Science

Exploring the Power of Predictive Analytics in Data Science

February 14, 2019
Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean. A small river named Duden flows by their place and supplies it with the…

Frequently Asked Questions

Why is data analytics important?

Data analytics helps companies gain more visibility and a deeper understanding of their processes and services. It gives them detailed insights into the customer experience and customer problems.

What are the types of data analytics?

There are four main types of data analytics: descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics looks at what has already happened, like web site traffic or sales. Diagnostic analytics looks at why something happened, like why sales increased or decreased. Predictive analytics uses data to predict what might happen in the future, like how weather might affect sales. Prescriptive analytics recommends specific actions based on data, like what price to set for a product.

What is the importance of data analysis?

Data analysis is important for a number of reasons. First, it helps you make better decisions by providing insights into your business or website. Second, it can help you identify opportunities for improvement or areas of potential growth. Third, it can help you optimize your website or business for better results. Finally, it can help you identify and address any problems or issues that might be affecting your business.

How are companies using data science?

Companies are using data science in a number of ways.

  • Personalization: tailoring the user experience based on individual preferences or behavior.
  • Product development: using data to identify new products or features that customers want.
  • Marketing: targeting specific audiences with relevant ads and offers.
  • Fraud detection: using data to identify and prevent fraudulent activity.
  • Risk management: using data to assess and manage risks.
  • Supply chain optimization: using data to improve the efficiency of supply chains.

Need a Consultation?

Talk to Our Data Science Team

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We’re thrilled and eagerly await the opportunity to learn more about your business! Our dedicated team is excited to provide you with all the information you need.