we are

Using Data To Promote &

Sustain Business Growth

We are an innovative data science company that collaborates with businesses to discover insights into important data that can improve marketing, sales, and pricing.

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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.


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.


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.


Our Partners

Here Is How It Works

What our Clients Say About us

Data Science

Insights From Patira


Data Science

Guidelines for Capturing Information and Knowledge Product from CCARDESA

February 22, 2019
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Data Science

Unleashing the Potential of Data Visualization in Data Science

February 15, 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…
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?

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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.