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Designing data to deliver

Most business and IT leaders understand data's importance to success. But to fully realize its potential, organizations must treat data as a valuable asset across the enterprise.

Failure to do so can lead to siloed infrastructure, interoperability issues, data literacy gaps, poor access controls and policies, a lack of cultural buy-in, and more. All of which makes it harder for IT to generate the momentum needed to deliver business results through data-driven technologies like 5G, AI/ML, cloud computing, IoT, and "as a service" offerings.

While this change may seem small, treating data as an asset is an effort that requires a fundamental shift in approach across people, process, technology and policy:

Key components of an effective data strategy.

Core data competencies

A comprehensive approach data strategy and governance is vital to an organization's ability to realize the possibilities of data across business units, IT environments and geographies. To that end, we help clients mature their capabilities across five fundamental competencies:

Data strategy & roadmap

Align business and technical objectives while establishing a roadmap for coordination across your organization's data domains.

Attend briefing

Data engineering & architecture

Develop, automate and orchestrate data pipelines using modern cloud-focused architectures to support diverse business needs.

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Data analytics & visualization

Build differentiated solutions by combining critical business and consulting thought-leadership with deep technical expertise.

Explore subject

Data governance & management

Implement the framework and policies needed to make intelligent decisions with our use-case-driven approach to data governance. 

Read case study

Data science & machine learning

Enable and optimize data through applied AIOps/MLOps and business use cases that generate the most value as quickly as possible.

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Our ability to seamlessly execute complex initiatives across these five domains is the secret to delivering true data transformation at an organizational level.

Start the journey to data maturity today. Contact us

See what's trending

Keep up with the latest from our experts in the field.

Partner POV | Optimizing AI for Scaled Adoption

Generative AI is evolving, shifting from raw performance to balancing efficiency, cost, and security. As AI matures, organizations must optimize infrastructure and prioritize power efficiency to reduce costs and risks. Adapting to these changes ensures a competitive edge and fosters continued innovation in the rapidly advancing AI landscape.
Partner Contribution
•Jun 11, 2025

The Data Reckoning: Turning Your Information Assets Into Competitive Weapons

Looking to turn your data chaos into competitive advantage? This candid blog cuts through the hype of "data lakes" and analytics dashboards to reveal what actually works. Discover practical frameworks like the "Revenue Traceability Test" and "Monday Morning Test" that help executives transform information overload into strategic decision-making power.
Blog
•Jun 9, 2025

4 Key Principles for Reimagining Retail with Science and Vision

It's time for retailers to break free from their legacy constraints and digitally transform to unlock their businesses' full potential. Following these four principles will help you succeed.
Article
•May 8, 2025

Key Takeaways from DISTRIBUTECH 2025

The flagship transmission and distribution event provided insight into how electric utilities can stay ahead of growing energy complexities.
Blog
•Apr 10, 2025

Partner POV | Scaling GenAI: How Intel IT Is Building an Enterprise-Ready Generative AI Framework

Intel IT's new generative AI platform democratizes AI use across the company, empowering employees of all skill levels to enhance productivity. By integrating RAG capabilities, scalable models, and efficient data orchestration, Intel aims to create a secure, enterprise-level AI framework that transforms business processes and unlocks new efficiencies.
Partner Contribution
•Mar 10, 2025

Explore our work

Learn about some of our most compelling data-centric case studies.

Developing a Data Platform to Generate Student Insights

Grand Valley State University engaged World Wide Technology to build a public cloud-based data platform to serve as the foundation for enterprise reporting and analytics.
Case Study

Health Insurance Association Hardens Cybersecurity through Data Governance

How a focus on data strategy and solution validation produced a plan to prevent patient data from being exposed in non-production environments.
Case Study

Reimagining a National Media Company's Digital Future in the Age of Streaming

WWT helped a media company build a robust, data-centric technology platform that forges deeper connections with its 200M users, personalities and brands while leveraging an innovative business model to monetize content.
Case Study

Streaming Platform Development for a Global Financial Services IT Operations

Learn how WWT built and deployed a platform to collect and stream data from multiple source systems and make the data available to multiple consumers through a publish/subscribe model.
Case Study

Democratizing Data to Reach New Levels of Productivity with Freeport-McMoRan

Global mining firm Freeport-McMoRan partnered with WWT to better harness big data and unlock hidden productivity.
Case Study

Connect with our experts

Matthew ConnorsPrincipal, Head of Data Engineering, Consulting Services
Rinkan PatelPrincipal Consultant (CS) - Head of Data Governance
Jon DurenGlobal Solutions & Architecture - Practice Manager
William StanleyChief Technology Advisor
Daniel MorrisroeSr Principal

Data Strategy and Architecture

The right data strategy and governance approach can help organizations increase operational efficiency, extract more intelligent insights, improve experiences, and enable AI-powered solutions.

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