Follow 4 Data Science
Best Practices

to Achieve Project Success

ds-best-practice-gartner-260According to Gartner, "Data science and machine learning initiatives are increasingly popular, but they frequently fail to realize business value due to mistakes in project execution. Data and analytics leaders should follow four best practices in order to achieve project success."

Get a copy of the report "Follow 4 Data Science Best Practices to Achieve Project Success," compliments of Dataiku. Read on for more information on Dataiku, the platform democratizing access to data and enabling enterprises to build their own path to AI, including robust model monitoring systems.

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Dataiku provides one simple UI for data wrangling, mining, visualization, machine learning, and deployment based on a collaborative and team-based user interface accessible to anyone on a data team, from data scientist to beginner analyst.

Dataiku also offers a visual AutoML suite that guides the user through all of the machine learning steps (train-test split, features handling, metrics to optimize, different templates of pre-set algorithms).

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The transformation to AI must be global within the organization and not just to focus on specific niche. Dataiku provides support of hybrid deployment models (including operationalization and self-service analytics) plus the elastically scale to match data location and cost constraints.

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No matter what the underlying changes in architecture or advancements in technology, Dataiku is at the center, providing a path to AI that is:

  • Accountable: Ensuring that models are designed and behave in ways aligned with their purpose.
  • Sustainable: Establishing the continued reliability of AI-augmented processes in their operation as well as execution.
  • Governable: Centrally controlling, managing, and auditing the the Enterprise AI effort.

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Gartner ,Follow 4 Data Science Best Practices to Achieve Project Success,, 6 January 2020, Afraz Jaffri, Alexander Linden, Carlie Idoine, Jim Hare, Erick Brethenoux.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Dataiku.