The secret of successful data ecosystems lies in the level of collaboration

Data ecosystems with trusted collaboration and deep access to granular data offer an unbeatable competitive edge.

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Why Apheris

Global organizations across industries trust us to build data ecosystems that have sustainability, innovation, and trust built to their core. This enables our customers to achieve competitive advantage for decades to come.

exploration

Comprehensive

Achieve operational excellence across all functions and during all stages of the collaboration

Integrative (icon)

Integrative

Drive consistency with integrated workflows across tools and infrastructure

Innovate icon

Innovative

Share and combine deep domain knowledge to create unprecedented innovation

scalable

Scalable

From connecting internal data sources across geographies to industry-wide ecosystems across multiple organizations

Trust in collaboration

According to Capgemini, the most successful data ecosystems are those that enable profound collaboration and deep access to sensitive data. They are characterized by a deep understanding: Breakthrough innovation with AI can only happen if all stakeholders across business, data engineering, data science and compliance are aligned around a common goal and have trust in the collaboration.

How it works

Data science starts before training machine learning models and doesn’t end with operationalizing a data application. Collaborative data ecosystems must be centred around a shared value proposition, prioritize the most valuable use cases, be aligned on common data models, and foster constant delivery, iteration, and collaboration.

Shared vision

A shared vision unites diverse stakeholders and creates purpose behind the collaboration. We help you develop a shared value proposition that helps you and your partners and customers fulfil your objectives.

Data-centric

Data is at the heart of data science. We help the ecosystem establish Common Data Models that increase data quality and have massive impact on value creation for all ecosystem participants.

Integrative

With our open platform approach we enable full stack interoperability. Apheris supports all common data science tools to provide seamless and secure connectivity across different tech stacks and open-source frameworks.

Productive

An ecosystem is only successful if it can deliver outcomes. Our focus is clearly on empowering experts in their work, abstracting complexity and ensuring smooth workflows.

Methodical

Achieving success with data science and ML needs constant and governable delivery, iteration, and collaboration on data and models across data scientists, data engineering and the business. At Apheris, we call this Federated MLOps.

Resources

Article

The Five Qualities of Collaborative Data Ecosystems

Over the past decade, organizations have focused heavily on implementing the culture, tools, and processes to create value from data with data science and machine learning within the enterprise. But this transformation doesn't intend to stop at corporate boundaries. Read the article to find out more

Article

7 Value Drivers of Complementary Data - Your Path to Unlocking the Benefits of Federated Data

There is only value in data if it can be used, and if there is appropriate access to that data when it is needed. Learn how you can turn decentralized, federated data into a complementary strategic data asset.

Article

The Future of Data Products – 6 Industry Trends For Frontrunners

If you’ve been successful to date with building industry-leading data products, you don’t want to rest on your laurels. Instead, you should be trying to extend your lead. However, this can be daunting task in an industry that is in constant flux as the data, machine learning and AI landscape.

Interested in Collaborative Data Ecosystems?

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