We are an innovative data science company that collaborates with businesses to discover insights into important data that can improve marketing, sales, and pricing.
Struggling to Sustain Business
Growth for any of these reasons?
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.
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.
Our Partners
Here Is How It Works
Data Preparation & Exploration
Talk to an expert advisor
Delivering Solutions
What our Clients Say About us
Patira Data Science is the right firm for our innovative healthcare technology. Their Data Scientist is remarkably talented in the field of predictive modeling and statistical analysis.
Joseph Allen Jr.
President
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Max Allegri
@direkrut.HR
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Nick Pope
@khatmandu
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?
Schedule your meeting with an advisor
Contact us
Talk To Us
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.
