Trusted Data Platform
Modernizing Data Infrastructure to Support an 'AI-First' Strategy
Enabling a Scalable, Cost-Efficient Analytics Hub on GCP
Client Context
A leading marketing platform aimed to execute an “analytics-first” strategy but was constrained by its legacy AWS Redshift environment, costly, fragmented, and unable to
support real-time analytics at scale.
The Challenge
Redshift had become a bottleneck. Data silos, rising costs, and limited flexibility slowed delivery and impaired decision-making. The client needed to migrate 180+ TB of
data, 150+ tables, and 100+ pipelines to a modern platform, without disruption, while upskilling teams to succeed in a new environment.
What We Did
Valutics led a six-month migration to Google Cloud Platform with precision
& risk control:
Optimized architecture for BigQuery performance
Phased, secure migration using encrypted S3 transfers and BigQuery Data
Transfer Services
End-to-end program management with disciplined execution
Upskilled 25+ analysts and data scientists on BigQuery ML and TensorFlow
Why It Matters
Modern AI and analytics can’t thrive on outdated infrastructure. By moving to GCP, this client gained a cost-efficient, scalable foundation that accelerates innovation,
reduces waste, and empowers smarter, faster decisions across the enterprise.
The Results
The strategy uncovered clear paths to unlock measurable value, including:
180+ TB migrated with zero disruption
25+ users enabled on advanced analytics tools
Faster development via simplified architecture and tool integration
A global digital financial services provider had modernized its infrastructure with a Lakehouse architecture. Leadership now wanted to go further, using data, automation,
and AI to fuel growth.
Client Context
The Challenge
Despite modern architecture, the platform lagged. Manual workarounds slowed teams, fragile pipelines hurt productivity, fraud detection wasn’t real-time, and governance
gaps raised compliance risks. The company needed a roadmap to scale its data platform and accelerate AI adoption.
What We Did
Valutics worked with executives to create a business-aligned Data & AI Strategy:
The Results
The strategy uncovered clear paths to unlock measurable value, including:
Benchmarked maturity with a capability model and gap analysis
Mapped pain points across engineering, analytics, and risk
Designed a target-state architecture for streaming, automation, and AI
$2.5M+ in infrastructure savings through pipeline optimization
$25M+ in workforce efficiency from automation and self-service
Built a phased roadmap to transform the platform into a business asset within
two years
$20M+ in fraud reduction via streaming anomaly detection
$200M–$300M in long-term value from AI use cases and insights
Why It Matters
For digital enterprises, weak data capabilities stall growth and inflate costs. This case shows the financial upside of a disciplined, business-aligned data and AI strategy:
turning infrastructure into intelligence, and intelligence into hundreds of millions in measurable value.
AI Strategy
From Data Platform to AI Growth Engine
How a bold data and AI strategy unlocked $300M in business value-fast.
Accelerating Data Delivery Through Agile Operating Model Redesign
AI Scaling
How a Leading Insurer Cut Time-to-Market and Improved Data Quality with Scaled Agile
A major insurer faced pressure to modernize its data capabilities. Fragmented teams, slow cycles, and inconsistent quality made it impossible to deliver analytics at the
speed business leaders required. Leadership recognized that tools weren’t the answer, the way teams worked had to change.
Client Context
The Challenge
The client needed to shift from legacy delivery models to Agile at scale. But with 20+ siloed teams, unclear ownership, and ad hoc processes, transformation was daunting.
Innovation stalled, launches lagged, and business priorities weren’t translating into delivery outcomes.
What We Did
Valutics led a phased Agile transformation of the Enterprise Data Program:
The Results
In under four months:
Established squad-based delivery with end-to-end accountability
Re-aligned 20+ teams around business value streams
Embedded Agile coaches to instill consistent practices
50% fewer release defects, improving trust in data
30% faster time-to-market (from 18 months to less than 5)
Piloted MVPs in underwriting, claims, and finance
150+ team members collaborating across silos
Standardized Azure DevOps dashboards and governance
30% higher employee engagement through clarity and purpose
Why It Matters
Agile isn’t just for software, it’s an enterprise operating model. With the right design, even regulated organizations can deliver faster, cleaner, and more business-aligned
data outcomes, turning data into a true driver of growth, efficiency, and customer responsiveness.
AI Engineering
Transforming Digital Marketing with Behavioural Intelligence
Helping a Global Lifestyle Brand Reclaim Performance and Precision
A global lifestyle brand across North America and Europe faced rising acquisition costs, slipping digital performance, and intensifying competition. Leadership needed a
smarter, faster way to engage high-value customers.
Client Context
The Challenge
Campaigns were underperforming. Conversions declined, ad spend was inefficient, and teams lacked visibility into customer value. Outdated segments and generic
campaigns limited personalization, and marketing couldn’t tie efforts to revenue or lifetime value.
What We Did
Valutics built a Behavioral Targeting Platform that transformed disconnected data
into real-time customer intelligence:
The Results
In under four months:
Unified Profiles – integrated web, mobile, CRM, and campaign data
Predictive Targeting – purchase propensity & churn models
42% boost in return on ad spend (ROAS)
3x increase in campaign conversions
Real-Time Activation – live audience syncing with Meta and Google Ads
Business-Aligned KPIs – shifted from clicks to lifetime value
& revenue impact
25% lift in engagement from high-value segments
Stronger collaboration across marketing, analytics, and IT
Why It Matters
This wasn’t about new tools, it was about unlocking value from existing data. By linking insights to action, the brand achieved sharper targeting, faster execution, and
marketing tied directly to revenue growth.
Responsible AI
From Data Chaos to Trusted Intelligence
How a Leading Global Digital Financial Services Provider Built a Scalable, Compliant, and AI-Ready Platform
A global digital financial services leader needed to modernize its data platform to support growth, AI, and compliance. Rising complexity and demands from analytics,
ML, and operations required a clear strategy to bring structure, trust, and efficiency.
Client Context
The Challenge
A fragmented federated model left 30+ unmanaged data marts, inconsistent standards, and unclear ownership. Weak governance created gaps in ML oversight, poor
explainability, and no lineage or compliance workflows- making the platform costly, inefficient, and unfit for a growing, regulated enterprise.
What We Did
Valutics delivered an enterprise-wide Data & AI strategy:
The Results
In under four months:
Centralized under a Data-as-a-Product model
Established a Chief Data & Analytics Officer role
Designed governance for quality, access, lineage, and compliance
Faster, higher-quality decisions via trusted data products
Stronger compliance with governance and lineage tracking
Embedded ethical AI and monitoring frameworks
Lower costs through defined ownership and automation
Standardized lifecycle policies and automation for scale
A scalable, federated ecosystem built for growth and AI adoption
Why It Matters
Without governance, data platforms fragment, costs rise, and compliance risks grow. This engagement positioned data as a strategic enterprise asset, fueling analytics,
AI, and growth while safeguarding trust.
Human + AI Synergy
Helping a digital disruptor turn data into an enterprise asset
Embedding a Data-Driven Culture at Scale
A fast-growing digital financial services company partnered with Valutics to build a modern data strategy. While technical talent and platforms were strong, the
organization lacked the leadership and culture needed to scale data-driven decision-making.
Client Context
The Challenge
Despite major investments, data value remained out of reach. Teams worked in silos, ownership was fragmented, and processes were inconsistent. Without centralized
leadership, inefficiency, duplication, and underutilized assets persisted. The company needed structure, governance, and a cultural shift to treat data as a strategic asset.
What We Did
Valutics co-created a roadmap to align data with business priorities and
scale adoption by:
The Results
In under four months:
Centralizing Data & Analytics under a Value Stream Delivery model
Appointing a Chief Data & Analytics Officer (CDAO) to unify leadership
Embedded accountability within domain-aligned, cross-functional teams
Streamlined delivery and eliminated silos through centralized leadership
Formalizing roles, career paths, and driving data literacy
Establishing responsible access and launching an ML & AI Innovation Hub
Built a scalable, cost-effective framework for enterprise data management
Positioned the business to generate measurable outcomes from data
initiatives
Why It Matters
Technology alone doesn’t create data value- leadership, governance, and culture do. This engagement established the foundations for sustainable growth, with data
governed, trusted, and embedded into decision-making across the enterprise.
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