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Deloitte’s Asset Store

Accelerate data science analyses using industrialized assets

Deloitte’s Asset Store with Dataiku and Snowflake helps organizations improve business outcomes with data science solutions that build artificial intelligence (AI) and Data-as-a-Service (DaaS) into their processes and operations.

Overcoming today’s current challenges

Deloitte’s Asset Store empowers data scientists to work smarter, not harder, but the path to faster data analyses requires recognizing today’s most common obstacles:

  • Long preparation cycles: most new data science analyses take months, even for well-known analyses.
  • Inconsistent analysis approaches: projects lack standardization, as different teams build their own version of the same analysis.
  • Varying team competencies: Varied skill levels across teams hinder data scientists from adapting complex analyses across brands/markets.
  • Lack of data discoverability: Data lives in isolated silos, which leads to incomplete insights and missed opportunities.

Making an impact, early and often

A global life sciences and biopharmaceutical provider currently using the Asset Store is already anticipating significant time and cost savings from using data science solutions. These include:

50%

Faster analyses

Reducing most analysis timelines from 12 to 6 weeks.

385%

Return on investment

Anticipated saved data science hours per year.

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Gain an evolving advantage

Harnessing the power of industrialized AI, the Asset Store enables data scientists to reuse proven analytics frameworks and data assets and scale these insights across brands and markets to drive business adoption. This evolving advantage is made possible with a library of pre-engineered feature sets and parameterized analyses templates, including:

Search and discovery

Quickly search and find relevant datasets and analysis pipelines using unique tags

Reuse and adoption

Quickly search and find relevant datasets and analysis pipelines using unique tags

Ease of publishing

Utilize self-service publication of highly reusable, foundational datasets, use custom tags for better discovery, and publish feature sets

Fast execution

Run pipelines in minutes, not hours, and easily share references to Snowflake tables rather than recreating tables

Version feature sets

Recognize logical updates, select version numbers when importing, and track metadata across projects

Usage tracking

Track how many times feature sets were used across projects

Faster, better data science for all

Take a closer look at how the Asset Store helps drive data insights with speed and scale and empowers data scientists to use data science solutions to pursue more innovative analyses.