Country
State
Cities
Big Data, Insights and Predictive Analytics
2013
$25 - $49/hr
2 - 9
New Zealand
Iris Data Science is a company providing services in statistics and machine learning, big data and information technologies to help businesses become more efficient, enable better decision making and solve particular challenges using their data. We achieve this by offering to our clients predictive analytics solutions (prediction, forecasting and optimisation), data visualisation and insights (report generation, graphs and dashboards) and decision support tools (decision models, change detection, early warning systems, hypothesis testing) underpinned by the IT infrastructure and software necessary to deploy these solutions (databases and data management, networking and data transfer, GIS, web visualisation). We have a strong agricultural background. Currently we are also focusing on health data and models and on environmental technologies, data and early warning systems.
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Consultancy House - 2nd floor 7 Bond St Dunedin Otago New Zealand 9054
64-21-262-9769
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What services does Iris Data Science offer?
Iris Data Science provides data science and AI services, including data engineering, machine learning, and data visualization.
Which industries does Iris Data Science serve?
Iris Data Science serves various industries, including finance, healthcare, and retail, among others.
What technologies does Iris Data Science specialize in?
Iris Data Science specializes in technologies such as Python, R, SQL, and cloud platforms like AWS and Azure.
Does Iris Data Science offer dedicated developers?
Yes, Iris Data Science offers dedicated developers who can work closely with clients to meet their specific needs.
How can I contact Iris Data Science?
You can contact Iris Data Science through their website, email, or phone number, which is listed on their contact page.
What makes Iris Data Science different?
Iris Data Science has a team of experienced data scientists and engineers who can provide tailored solutions to meet clients' specific needs.
What engagement models does Iris Data Science offer?
Iris Data Science offers flexible engagement models, including project-based and ongoing support, to meet clients' needs.
Does Iris Data Science work with startups?
Yes, Iris Data Science works with startups and small businesses to help them leverage data science and AI.
Does Iris Data Science serve enterprise clients?
Yes, Iris Data Science has experience working with large enterprises and can provide scalable solutions to meet their needs.
Does Iris Data Science provide maintenance and support?
Yes, Iris Data Science offers ongoing maintenance and support to ensure clients' solutions continue to meet their needs.
How long has Iris Data Science been in business?
Iris Data Science has been in business for over 10 years, providing data science and AI services to clients.
What is Iris Data Science's development process?
Iris Data Science follows a collaborative development process that involves working closely with clients to understand their needs and deliver tailored solutions.
Does Iris Data Science have client testimonials?
Yes, Iris Data Science has client testimonials and case studies that demonstrate their expertise and success in delivering data science and AI solutions.
What certifications or partnerships does Iris Data Science have?
Iris Data Science has certifications and partnerships with various organizations, including AWS and Azure, to ensure they stay up-to-date with the latest technologies.
What types of projects has Iris Data Science completed?
Iris Data Science has completed various projects, including data engineering, machine learning, and data visualization, for clients across different industries.
Where is Iris Data Science located?
Iris Data Science is located in Auckland, New Zealand, and has a team of experienced data scientists and engineers who can work with clients remotely.
How can I find out more about Iris Data Science's services and expertise?
You can find out more about Iris Data Science's services and expertise by visiting their website, reading their case studies, and contacting them directly.
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