Case Study

Large Global Retailer Focuses Business On a Customer-first Approach

Published July 20, 2022

Business transformation puts this global leader on the runway to success.

Transforming data ecosystems is helping this global retailer better understand its customers’ needs and preferences, more accurately forecast fashion trends, manage inventory, and improve the overall in-store experience.

In collaboration with Altimetrik, the client was able to increase data processing capabilities by a factor of 15 to help them better understand and address emerging trends and customer feedback on a global basis – enhancing their agility, responsiveness and ability to deliver innovative solutions. Additionally, with real-time language translation, even non-native language speakers have instant translation of key data outputs into either a local or a common language (English).

85% Reduction in Processing Time

15x Increase in Global Data Availability and Visibility

Real-time Translation of Data Outputs for Non-native Language Speakers

30% Reduction in Data Errors

Data-centric business transformation drives efficiency and delivers meaningful insights.

Altimetrik’s transformation expertise enabled this retail giant to capture consumer feedback and insights and respond with greater speed.

This retailer relies on its ability to both capture and respond to global customer and employee feedback about products, preferences and experiences to remain both relevant and competitive. This implementation of think-global-act-local strategy allows management to respond quickly with regional or global solutions, providing them with a strong competitive advantage.

Additionally, data errors were reduced by ~30% when Altimetrik delivered solutions that provided automated processes to help resolve issues and enhance data quality and insights.

“By creating data solutions in iterative ways, we are helping this retail giant gain significant business value and reduce waste through new and more timely insights. As they look at expanding these core solutions to other areas of the global business, Altimetrik will continue to bring new leading data engineering and analytics capabilities to this world-class organization. This is a strong case and example of how we help clients accelerate their business transformation.”

Ryan Talbott

Chief Transformation Officer, U.S. Midwest & Europe

Digital Business Retail

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Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.	Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.	Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.	Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.	Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.	Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.	Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.	Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.	Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.	Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.	Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.	Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indications	Utilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes