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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.
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:
Future of Work: Ways of working in uncertain times
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Search and discovery
Quickly search and find relevant datasets and analysis pipelines using unique tags
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Reuse and adoption
Quickly search and find relevant datasets and analysis pipelines using unique tags
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Ease of publishing
Utilize self-service publication of highly reusable, foundational datasets, use custom tags for better discovery, and publish feature sets
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Future of Work: Ways of working in uncertain times
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Fast execution
Run pipelines in minutes, not hours, and easily share references to Snowflake tables rather than recreating tables
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Version feature sets
Recognize logical updates, select version numbers when importing, and track metadata across projects
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Usage tracking
Track how many times feature sets were used across projects
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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:
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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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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.
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