What Is Dataiku?

Dataiku provides a software platform that enables companies to design and deploy AI/analytics applications, transform raw data into advanced insights, and build machine learning models. Its products have been adopted by over 500 enterprises around the world – including 150 of the biggest corporations.

Dataiku helps marketers build AI-powered marketing attribution models that provide insight and control over their campaigns. Plus, the platform connects them to CRM, accounting, and external data sources for consolidation purposes.

What it does

Dataiku.com offers an end-to-end AI platform, empowering business analysts, data scientists and software engineers to construct predictive applications and deploy them into production settings. With its unified interface, users can perform all stages of data management – from preparation and analysis through modeling – with ease.

It boasts more than 30 connectors that connect with various data sources, including cloud data warehouses such as Snowflake Data Cloud, Amazon Redshift and Google BigQuery. Furthermore, it supports numerous machine learning engines and core algorithms from leading vendors.

Furthermore, it provides over 109 data transformation capabilities that can be implemented via recipes (like Join, Window or Group). These recipes serve as an effective means for automating data pipeline automation and scalable processing.

The company, headquartered in Paris, France and founded in 2013, boasts a list of notable customers that includes Accor, BNP Paribas, Engie, the LVMH group and many more renowned global firms.

Data science software platforms like Spark provide an intuitive user interface for data professionals to manipulate data, share analyses and make predictions. The platform has numerous applications such as customer segmentation, fraud detection, churn calculation and natural language processing (NLP) analysis.

Why it’s valuable benefits and advantages

This platform provides a single, integrated interface for data handling, mining, visualization and machine learning. It also enables teams to collaborate on data projects. It’s accessible to people of varying skillsets – from business analysts to data scientists – so there’s something for everyone!

Coders and non-coders alike can utilize it to access and prepare project data, create machine learning models, and deploy them in production. All steps in the data pipeline are automatically documented as part of a visual flow so projects can be shared easily and repurposed.

Dataiku AutoML expedites machine learning model development with its guided framework featuring guardrails, best-in-class algorithms and white box explainability. This makes it simpler for both novice and experienced data scientists to construct production-ready models and receive feedback on their performance.

Furthermore, it can be utilized with a variety of data stores, including cloud data warehouses. It has pre-built connectors for Amazon Redshift, Snowflake Data Cloud and Google BigQuery.

Cloud access to this software is also provided through AWS Marketplace, a curated digital catalog featuring thousands of listings from independent software vendors. With this tool, users can search, compare and purchase software that runs on AWS with ease.

How it works

Dataiku.com is a platform that facilitates collaboration between coders and non-coders on one shared workspace. Teams can connect to data, prepare it for machine learning models, construct models, and operationalize their work quickly and effectively.

Team members can collaborate and discuss datasets, recipes, and project bundles in a secure online space to make information exchange smoother for everyone involved. By doing this, there’s no need for emails or other external communication channels to exchange insights or get questions answered quickly.

Dataiku’s built-in wikis enable teams to document their motivations and methods, keeping key context for current and future team members. A rolling timeline of recent actions, to-do lists, chat functions, and project discussions all keep a record of team conversations and contributions within the platform.

Dataiku provides a suite of tools to parse and enrich data types, such as geospatial joins and geocoding, time series resampling, image annotation, and text vectorization. These non-VLOOKUP intensive visual processing steps simplify the creation of enriched datasets while cutting computation times and costs for teams with various specialized needs.

What it replaces and improves

Dataiku offers a revolutionary alternative to many of the traditional tools companies use for data management. It provides a visual analysis layer that empowers non-data scientists with the power to explore, prepare, enrich, and visualize their data (much more useful than spreadsheets!).

Dataiku offers special storage formats, transformation processors and presentation elements for geospatial data that make it straightforward for analysts to perform spatial analytics. These include geocoding to generate or extract latitude and longitude coordinates as well as geo joining to connect datasets based on location information.

Dataiku stands out with its visual analysis layer, which enables non-data scientists to explore, prepare, enrich and visualize their data without coding. It’s a revolutionary concept that makes collaboration on data projects effortless for both coders and non-coders alike.

Dataiku’s platform supports a broad range of data projects, from fraud detection to customer churn prevention and beyond. It includes built-in governance with standard project workflows, model and bundle registry, risk/value matrix that helps organizations safely scale AI with oversight while prioritizing those that deliver maximum value.

Why it is unique

Dataiku is the platform that decentralized access to data, empowering enterprises to design their own path towards AI. As a cloud-based, open source solution, Dataiku appeals to users of all technical backgrounds and skillsets.

Dataiku provides a centralized space where coders and non-coders alike can access, explore, and prepare project data collaboratively. With point-and-click tools for ease of use or custom code for maximum flexibility, everyone involved in the data pipeline has easy access to documentation in visual form – providing transparency and easy reuse. Every step is automatically documented for maximum reuse later on.

Streamlined workflows, including a rolling timeline, ensure team members don’t miss any important deadlines. Project wikis serve as central knowledge repositories where teams document their motivations, methods and decisions in order to preserve critical context for current and future team members.

An integrated catalog allows data explorers to conveniently explore and search all projects within a data pipeline, making navigation, slice and dice, and filtering of insights easier than ever. Taggable folders, commentable files, and the details section provide key information at a glance for quick retrieval.

At Dataiku, we strive to foster an atmosphere of tolerance and inclusivity where everyone can bring their full selves to work. This means creating a community of diverse ideas that can assist all people on their AI journeys.

What is on the roadmap

Dataiku’s platform is a data science development platform designed to make it faster and simpler for teams to turn raw data into predictions. It helps organizations disregard different levels of expertise within an organization, creating an incubator for innovation.

This platform provides end-to-end machine learning, data engineering and MLOps capabilities as well as AI browsing. Its user interface consists of graphical elements, notebooks and code that can be tailored to meet users’ individual requirements.

Dataiku provides a vast library of pre-built projects and use case specific components that reduce development times. This makes it simple for teams to get started with AI quickly, creating models tailored to their business objectives.

Dataiku’s industry solutions catalog is another key benefit, offering pre-made objects and workflows that are fully customizable and adaptable to specific business requirements. Utilizing these solutions can significantly accelerate data-driven innovation and boost productivity throughout your organization.

Dataiku Platform assists organizations in designing, deploying and managing artificial intelligence (AI) and analytics at scale. It offers a centralized abstraction layer that lets IT and architecture teams focus on rapidly evolving underlying technologies while simplifying data governance. With its end-to-end capabilities, businesses are able to reduce growing AI risks while complying with growing data privacy regulations while protecting their brand reputation.

 

Frequently Asked Questions

What is Dataiku? Dataiku is an endtoend data science platform that enables businesses to quickly and easily build and deploy predictive models, analyze data, and generate insights.

What functionalities does Dataiku offer? Dataiku offers data preparation, data management, machine learning, predictive analytics, data visualization, collaboration, model deployment, automation, and data governance capabilities.

What types of data does Dataiku support? Dataiku supports all types of structured and unstructured data, including CSV, Excel, JSON, SQL, NoSQL, Hadoop, and more.

What are the benefits of using Dataiku? Dataiku provides businesses with the ability to quickly and easily build and deploy predictive models, analyze data, and generate insights. It also offers automated data pipelines, collaborative data science, realtime insights, and scalable infrastructure.

How does Dataiku integrate with other tools? Dataiku integrates with many popular tools, such as AWS, Microsoft Azure, Google Cloud, Tableau, and many more.

How much does Dataiku cost? Dataiku offers both a free and paid version, with pricing plans starting at $49/month.

What type of support does Dataiku provide? Dataiku provides customers with roundtheclock technical support, as well as access to a knowledge base and community forums.

Is Dataiku secure? Dataiku is secure and compliant with industry standards, such as GDPR, SOC 2, and HIPAA.

How can I get started with Dataiku? To get started with Dataiku, you can sign up for a free trial or contact a sales representative to discuss pricing plans.

Facts and Figures

Dataiku is an AI-powered data science platform that enables organizations to build and deliver advanced analytics solutions.

Dataiku provides a unified environment for data scientists, business analysts, and IT teams to collaborate on projects from the initial data exploration to production deployment.

With its drag & drop interface, users can quickly access, analyze, and visualize their data .

Dataiku provides a wide range of features and capabilities such as automated machine learning pipelines, natural language processing, deep learning, data exploration, and more.

Dataiku is used by over 1,500 companies around the world including McDonald’s, Citibank, and L’Oréal.

Dataiku has been named a leader in the “Forrester Wave™: Enterprise AI Platforms, Q1 2021” report.

Dataiku is a privately-held company with more than 400 employees and offices in Paris, New York, London, Munich, Singapore, and Tokyo.

Dataiku was founded in 2013 by Florian Douetteau, Marc Batty and Clément Stenac.

Dataiku was named a Leader in the “Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2020” report.

Dataiku has raised over $200 million in funding from investors including Battery Ventures, ICONIQ Capital, Dawn Capital and FirstMark Capital.

 

 

 

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