Elevate

Turn digital data into actionable insights to improve campaigns, user experiences and conversion performance.

Improve user experiences and conversion performance through data-led analysis, prioritized experimentation and continuous optimization.

Reduce privacy and regulatory risk while enabling trustworthy, compliant data use across analytics, marketing and AI.

Improve acquisition performance and return on media investment through data-led strategy, measurement, campaign optimization, and audience targeting.

Unify customer data and improve personalization, marketing performance, engagement and loyalty across customer touchpoints.

Understand customer perceptions, respond to feedback, manage online reputation and turn social conversations into actionable insights.

Turn business data into actionable insights and decision tools to help teams make faster, better-informed strategic and operational decisions.

Build scalable, reliable data foundations that make organizational data easier to manage, access and use for analysis and business growth.

Turn data into actionable insights and predictive solutions to guide decisions, anticipate behavior, and improve business performance.

Turn AI initiatives into scalable, adopted solutions that automate work, improve productivity and create measurable business value.

Build trusted, secure data practices that help teams make decisions faster, enable AI adoption, and manage data risks and costs.

Turn data initiatives into valuable, adopted products with coordinated delivery, user-focused design and ongoing product improvement.

Align data and AI initiatives with business goals, prioritize valuable opportunities, and build a practical roadmap for measurable, lasting transformation.

Helps organizations embed data-driven practices, achieve lasting adoption of new tools and processes, and align transformation with business goals.

Build relevant data, digital and AI skills through practical, tailored training that supports technology adoption and applies learning to business needs.

Digital Analytics

Elevate’s Digital Analytics service supports the end-to-end collection, analysis and interpretation of digital data. It includes auditing and selecting collection tools, implementing tracking and tag management, configuring server-side tracking and consent mode, and creating tailored dashboards, reports and actionable recommendations. The service also helps optimize digital campaigns and personalization strategies, and provides ongoing performance monitoring, tool maintenance and team training.

• Collect More Reliable Digital Data
  Assess existing tracking tools and implement suitable analytics and tag management solutions, with ongoing maintenance to support reliable data collection.
• Make Better Data-Based Decisions
  Turn digital data into clear performance insights through customized dashboards, reports, recommendations and defined KPIs that help guide marketing and business decisions.
• Improve Campaigns And Conversions
  Use data analysis, ongoing campaign adjustments and personalization strategies to improve digital performance, tailor user experiences and increase conversion rates.
• Improve Tracking Precision
  Server-side tracking is implemented to improve the precision of collected data while supporting privacy management.
• Respect User Consent Preferences
  Configure consent mode to align data collection with user preferences and applicable regulations.
• Monitor Performance In Real Time
  Track performance continuously to identify trends and make timely adjustments to digital strategies.
• Choose Suitable Analytics Tools
  Compare available technologies and identify analytics tools suited to organizational needs and analytical requirements.
• Build Team Analytics Skills
  Help teams use analytics tools and methodologies effectively through dedicated training sessions.

Conversion rate optimization (CRO)

Elevate’s CRO service helps organizations continuously improve digital performance through user journey analysis, prioritization and reliable experimentation. It covers CRO tool selection, deployment and maintenance; A/B test planning and execution; personalization and e-merchandising; and the development of structured programs with roadmaps, teams, processes and dashboards. Elevate also analyzes test results and ROI, and trains and supports internal teams in adopting CRO tools and methods.

• Validate Changes Through Testing
  Run experiments and analyze their results to identify effective adjustments to digital user journeys and interfaces.
• Identify Journey Improvements
  Use journey analysis and UX assessment to locate friction points and prioritize opportunities to improve the user experience and conversions.
• Scale A Structured Testing Program
  Establish the teams, processes, prioritization and tracking needed to organize a CRO program and increase the pace and quality of testing.
• Equip Teams With CRO Tools
  Select, deploy and maintain tools suited to the organization’s CRO needs, with support for internal teams adopting the solutions.
• Guide Decisions With Data
  Turn journey and conversion analysis into recommendations and dashboards that help teams assess initiatives and monitor CRO performance.
• Personalize Digital Experiences
  Adapt recommendations, offers and content to users as part of a CRO approach focused on improving their experience and conversion rates.
• Optimize Online Product Merchandising
  Improve product presentation, search and ranking, and apply upsell, cross-sell and downsell techniques to support online sales and customer satisfaction.
• Build Internal CRO Capabilities
  Train cross-functional teams in CRO methods and tools, and support adoption of CRO practices within the organization.

Privacy and compliance

Elevate’s Privacy service audits and secures data practices across collection, storage, unification and activation. It supports compliance with regulations including the GDPR, CCPA and AI Act through consent management, privacy-by-design, data governance and operational remediation. The service also covers AI system risk assessments and safeguards, data anonymization and pseudonymization, secure audience activation, and ongoing compliance monitoring. Its approach is designed to help organizations protect user privacy and maintain data and marketing operations.

• Identify And Prioritize Compliance Risks
  A 360-degree assessment maps data flows and processing practices, highlights gaps and risk levels, and helps teams prioritize remediation based on business impact, legal risk and feasibility.
• Collect And Verify User Consent
  Reliable consent processes help ensure data is collected only after explicit user consent, support transparent practices and align tracking with user preferences and applicable regulations.
• Govern Data Access And Retention
  Access controls, retention rules and data-flow traceability support secure, accountable data use across the organization and help maintain compliance throughout the data lifecycle.
• Govern AI With Risk Assessments And Safeguards
  Risk assessments, guardrails, impact assessments and decision documentation help organizations address regulatory and ethical requirements while deploying AI systems.
• Protect Sensitive Data
  Anonymization and pseudonymization help limit exposure of sensitive information, including when data is used in test environments or shared through Data Clean Rooms.
• Activate Audiences With Privacy Controls
  Consent enforcement and secure data-sharing practices help teams use audiences for marketing while protecting user privacy and monitoring transfers to media platforms.
• Monitor Compliance And Train Teams
  Ongoing indicators and regulatory watch help teams track compliance over time, while training supports adoption of Privacy by Design and ethical data practices.

Data Media

Elevate provides strategic and operational support to evolve media and acquisition strategies across online and offline channels. The service covers media audits, acquisition planning, campaign setup and governance, measurement of marketing performance, campaign optimization, audience targeting, and media technology selection and deployment. It includes attribution and contribution analysis, KPI frameworks, media dashboards, adtech configuration and maintenance, and training for internal teams. The approach spans recommendations, implementation, and ongoing campaign monitoring and optimization.

• Build A Clearer Acquisition Plan
  Use campaign audits and strategic recommendations to shape a coherent media approach aligned with business objectives and acquisition needs.
• Measure The Impact Of Media
  Analyze media data and key performance indicators to understand the impact of marketing actions and investments across channels.
• Improve Media Investment Returns
  Use data and campaign optimization to direct media investments toward stronger performance and improved conversion outcomes.
• Structure And Govern Media Campaigns
  Apply consistent governance practices, KPIs, and campaign setup processes to guide media activity and its ongoing management.
• Target Audiences More Precisely
  Refine audience targeting to address contacts more effectively and align campaigns with a better understanding of audiences.
• Deploy Tools Suited To Your Needs
  Select and implement media, audience-management, and adtech tools suited to market constraints and organizational needs.
• Monitor Performance In One View
  Use media dashboards to review marketing actions and track campaign performance in a consolidated view.
• Maintain Reliable Media Tooling
  Maintain adtech solutions and improve consistency in media data through data quality and normalization practices.
• Equip Teams To Use Media Tools
  Help internal teams develop autonomy in using media solutions and applying media methodologies.

Data CRM

Elevate’s Data CRM service helps organizations maximize the value of customer relationships by using available data to understand, anticipate and respond to customer needs. It supports a 360-degree customer view, omnichannel experiences and continuous performance improvement. Services include customer data centralization and unification through CRM or CDP tools, audience and behavior analysis, personalized marketing, loyalty program optimization and marketing automation. Elevate also advises on CRM data architecture and helps measure and optimize marketing actions and campaigns.

• Unify Customer Data
  Bring customer information together across touchpoints to build detailed profiles and support a fuller understanding of customer relationships.
• Understand Customer Audiences
  Use audience segmentation, refreshed personas and recurring behavior patterns to better understand customer needs and inform more relevant marketing actions.
• Personalize Customer Interactions
  Use unified customer profiles to tailor interactions and campaign targeting across touchpoints, supporting more relevant experiences and stronger engagement.
• Optimize Marketing Campaigns
  Apply customer data to improve campaign performance, refine marketing strategies and measure the impact of marketing actions.
• Strengthen Customer Loyalty
  Create, monitor and optimize loyalty programs to support customer engagement, satisfaction and lasting relationships.
• Automate Marketing Actions
  Implement marketing automation strategies centered on customer data and relationship management.
• Optimize CRM Campaigns
  Receive ongoing operational support and regular campaign optimization to manage customer relationships and support customer value and loyalty.
• Improve Data Architecture
  Identify corrective actions for customer database architecture to support effective use of CRM data.
• Activate Data Responsibly
  Use unified customer profiles for personalized experiences and precise marketing campaigns while respecting privacy requirements.

Social Listening

Elevate implements social listening tools to capture the voice of customers across social platforms and other digital channels. The service helps organizations understand customer perceptions, respond quickly to feedback, manage online reputation and turn social data into actionable insights. Its capabilities include conversation trend analysis, consumer insights, crisis management and communication, dashboards, and data visualization and mapping.

• Listen Across Digital Channels
  Capture customer feedback and conversations from social platforms and other digital channels.
• Understand Customer Perceptions
  Use insights from social and digital conversations to better understand how customers perceive a brand.
• Manage Online Reputation
  Use social listening to support the management of online reputation and communication during crises.
• Respond Quickly To Feedback
  Help teams react quickly to customer feedback collected across social platforms and other digital channels.
• Identify Conversation Trends
  Analyze social conversations to identify trends and inform customer and brand insights.
• Present Insights In Dashboards
  Organize social listening information in dashboards to make results easier to review.
• Visualize And Map Social Data
  Represent social data visually and through mapping to support the analysis of listening results.

Data analysis

Elevate’s Data Analysis service structures business information so it can be used directly for decisions. It combines analytical expertise and generative AI to help teams find answers faster, make dashboards more proactive, and base strategic choices on data. Services include strategic insight analysis, advanced dashboarding, conversational data access, and operational performance optimization, supported by BI stack design, data integration, and team enablement.

• Reveal Root Causes And Opportunities
  Go beyond describing what happened to identify underlying causes, detect weak signals, validate growth hypotheses, and surface opportunities that can inform strategic decisions.
• Turn Data Into Decision Tools
  Transform large volumes of data into dashboards and analytics platforms that support business steering. Dashboard priorities can be selected for C-level and business teams, with training and ongoing improvements.
• Query Business Data In Natural Language
  Give teams a conversational way to query business data, knowledge bases, or financial results in natural language, helping reduce friction between employees and their data.
• Prioritize Resources And Operational Improvements
  Use data analysis to guide budget and resource allocation and create prioritized roadmaps that focus teams on operational efficiency.
• Build A Fit-For-Purpose BI Stack
  Align data sources, integration, storage, and visualization tools with business needs. The work can include architecture recommendations, implementation of priority dashboards, and processes to improve data reliability.
• Help Teams Discover And Use Data
  Support internal teams with onboarding and practical workshops, improve the discoverability of available data, and monitor how teams engage with data and apply it in decisions.
• Test And Validate AI Use Cases
  Test a business hypothesis through a rapid AI proof of concept, assess its ROI, and move successful solutions toward industrialization.

Data engineering

Elevate designs and deploys resilient, interconnected data infrastructure to collect, store, transform and distribute growing volumes of data. The service includes tailored data modeling, cloud architecture audits and development, data lake, warehouse and lakehouse implementation, pipeline and ETL configuration, and DataOps practices. It also supports continuous data integration, pipeline monitoring and optimization, data quality controls, infrastructure management and cost optimization. Solutions are adapted to business needs and designed to scale with changing data volumes and organizational requirements.

• Automate And Optimize Data Flows
  Automated ingestion and pipeline processes connect tools and internal infrastructure, while monitoring and performance adjustments help keep data moving reliably and efficiently.
• Scale Infrastructure With Data Needs
  Adaptable cloud architectures support changing data volumes and organizational needs, with migration planning that aims to limit service disruption.
• Centralize Data In Suitable Platforms
  Selecting an appropriate data platform helps organizations centralize and manage data while keeping storage and processing costs in view.
• Maintain Reliable Data Quality
  Continuous monitoring and validation help detect and correct errors, preserve data integrity and completeness, and prepare data for analysis.
• Accelerate Infrastructure Delivery
  Automated build, test and deployment practices help speed infrastructure development and management while supporting consistent tracking of changes.
• Structure Data For Scalable Use
  Purpose-built, documented models structure data for efficient use at scale while addressing performance, flexibility and business requirements.
• Configure ETL For Centralization
  ETL technology is selected and configured to support the organization's requirements for bringing data together.
• Control Data Infrastructure Costs
  Monitoring and optimization of storage and infrastructure spending help organizations manage costs as their data needs grow.

Data science

Elevate’s Data Science service turns data into measurable insights to guide strategic decisions and improve business performance. It combines exploratory and statistical analysis, customer and user segmentation, predictive and machine learning models, and scoring. Elevate also deploys models and workflows into production, integrates results with business tools and APIs, and monitors and optimizes model performance. Its support includes reporting, recommendations, project documentation, and team training in Data Science methods, tools, and practices.

• Anticipate Behaviors And Guide Decisions
  Apply predictive models and scoring to anticipate future behaviors, prioritize actions, and provide insights that teams can use in decision-making.
• Put Models Into Production
  Turn prototypes into operational, scalable solutions through production deployment of models and workflows and the industrialization of supporting processes.
• Reveal Patterns And Opportunities
  Explore data to uncover patterns, anomalies, trends, and high-impact signals that help teams identify opportunities and make informed decisions.
• Understand Behaviors And Prioritize Actions
  Use defined customer and user groups to better understand behaviors and specific needs, identify high-value opportunities, and prioritize the roadmap and actions.
• Use Model Results In Existing Tools
  Make model results available within existing business systems through integration with business tools or APIs.
• Monitor And Improve Models
  Track model performance over time and make ongoing adjustments to improve effectiveness and maintain operational performance.
• Turn Insights Into Priority Actions
  Convert analytical results into practical recommendations and identify the actions with the greatest business value.
• Automate Analysis And Reporting
  Generate automated analyses and reporting, including real-time-updated dashboards, to help teams access current results.
• Support Handover And Team Collaboration
  Document projects for easier follow-up and internal team handover, while making it easier for teams to share and collaborate around insights.
• Build Data Science Team Skills
  Develop team capabilities in Data Science methods, tools, and practices, supporting adoption and the use of insights.

AI and generative AI

Elevate supports organizations from AI strategy through development, deployment and adoption. The service assesses business needs, identifies and prioritizes use cases, and co-develops scalable, modular AI and generative AI solutions. Applications include AI agents for analysis and decision-making, generative AI for content, chatbots for sales and customer service, and tools for documentation, dashboards, data and technology productivity. The service also addresses data access and governance, responsible AI, team training, and ongoing performance and ROI measurement.

Category: AI Consulting

• Prioritize High-Value AI Initiatives
  Focus investment on business-relevant AI use cases and build a roadmap with clear priorities, deployment stages and measures of impact.
• Build AI Applications For Business Workflows
  Apply AI and generative AI to identified business needs through use cases such as analysis agents, content generation, chatbots, and documentation support.
• Deploy Scalable AI Solutions
  Move prioritized AI projects from proof of concept into production and integrate them into existing systems using modular, scalable approaches.
• Automate Tasks And Support Decisions
  Use AI to automate repetitive work and improve decision-making in business processes.
• Connect AI To Governed Data
  Prepare accessible and regularly updated data for AI systems while addressing quality, security and compliance requirements.
• Enable Teams To Adopt AI
  Help teams understand AI and incorporate it into their daily work through training, practical guidance and support for integration into existing processes.
• Build Ethical And Governed AI
  Address ethics, transparency, explainability, bias and regulatory considerations as part of AI design and implementation.
• Measure AI Performance And ROI
  Track solution performance and business impact after deployment, then use feedback and results to guide ongoing improvements.

Data Management & Governance

Elevate helps organizations establish agile data management and governance practices that improve trust in data, support business-team autonomy, and enable effective and secure data use. The service covers automated quality controls, Data Stewardship, data cataloging and lineage, Data Mesh implementation, data lifecycle management, access policies, and team training. Its structured approach includes maturity assessment, data-flow mapping, pilot governance foundations, tool deployment, and ongoing measurement and improvement.

• Clarify Data Responsibilities
  Formalized policies and clearly assigned ownership help teams manage data consistently and support alignment across business domains.
• Detect Data Issues Earlier
  Automated checks and alerts help identify data quality anomalies before unreliable information reaches dashboards and business users.
• Resolve Anomalies At Source
  Data Stewards help business teams manage data quality in their domains and address errors before they reach decision-making tools.
• Make Data Easier To Find
  Documentation, metadata classification, and lineage help teams understand data and its origins, supporting more informed and consistent use.
• Enable Governed Team Autonomy
  Business teams can manage and use data within their domains while following a shared strategic framework, helping reduce reliance on a central data team.
• Reduce Obsolete Data And Costs
  Lifecycle rules help teams retain active, valuable data and remove data that is no longer needed, supporting compliance and reducing unnecessary cloud storage costs.
• Protect Sensitive Data
  Granular permissions and traceable access help secure sensitive information, reduce the risk of human error, and support regulatory compliance.
• Build Data Ownership Skills
  Practical training and peer communities help teams develop the skills and confidence to manage data responsibilities and sustain governance practices.
• Measure And Improve Governance
  A phased rollout supports focused implementation, while governance dashboards and metrics help track results, guide improvements, and extend practices to additional domains.

Data product ownership and project management

Elevate’s PO/PM Data service orchestrates data product initiatives from ideation through production and ongoing evolution. Product Owners and Project Managers align products with business needs, define value and scope, prioritize delivery, coordinate teams and dependencies, and support adoption. The service covers products such as dashboards, data flows, algorithms and APIs, with attention to user needs, data quality, privacy, security, operating costs and integration into the data ecosystem.

• Clarify Product Value And Scope
  Establishes a clear product purpose, target users, measurable outcomes and delivery prerequisites before investment and implementation decisions are made.
• Design Products Around User Needs
  Shapes product formats, interfaces and access journeys around users’ needs and practices, supporting a more usable and relevant product.
• Coordinate Agile Product Delivery
  Provides structured coordination across teams, clearer delivery priorities and active management of dependencies to support consistent progress toward product objectives.
• Support Product Adoption
  Helps users discover, understand and use data products through communication, training and continued support, while monitoring adoption over time.
• Manage Product Lifecycle And Integration
  Addresses integration, maintenance, quality, security and operating costs throughout the product lifecycle, and establishes criteria for keeping, changing or retiring products.
• Align Teams Around Shared Priorities
  Helps business, IT and data stakeholders share a clear understanding of needs, requirements and product priorities, reducing ambiguity in decisions.
• Validate Products With User Feedback
  Brings user needs and feedback into product decisions so that assumptions can be tested against real practices and product relevance can be assessed.
• Track Usage And Product Value
  Provides indicators on usage, delivery and value to inform product decisions, monitor performance and communicate progress.
• Improve Products Through Iteration
  Uses observed usage and user feedback to guide roadmap updates and keep product development responsive to needs.
• Test Product Value Before Scaling
  Enables early experimentation and evidence-based decisions through rapid prototypes, user testing and demonstrations of product value.

Data Strategy

Elevate co-creates a progressive Data and AI strategy that aligns business objectives with technological capabilities. The service assesses organizational maturity, maps data flows and business value, identifies and prioritizes use cases, and develops a structured, budgeted roadmap. It also supports target operating model and governance design, leadership alignment, data culture, change management, data product design, and data monetization planning.

Category: Data and Analytics Consulting

• Prioritize High-Value Use Cases
  Focus investment and effort on opportunities with the clearest potential to create business value and measurable impact.
• Plan A Measurable Transformation
  Translate strategic priorities into a sequenced and costed plan that helps coordinate initiatives and track the value created.
• Identify Priority Improvement Areas
  Understand current capabilities and gaps to guide strategic decisions and focus transformation efforts on the areas most in need of development.
• Structure Strategy Delivery
  Establish the organizational responsibilities, processes, and governance needed to execute data and AI priorities effectively.
• Reveal Data Value Opportunities
  Make the business value of data more visible and identify potential opportunities for monetization and value-driven investment.
• Align Technology With Business Needs
  Connect architecture and technology planning to business requirements and the use cases selected for the roadmap.
• Align Leaders Around A Shared Vision
  Help leadership teams develop a shared understanding of Data and AI priorities and align objectives across business areas.
• Support Lasting Data Adoption
  Encourage the adoption of data-driven practices and help embed them across the organization through structured change initiatives.
• Validate Data Product Concepts
  Bring business and technical stakeholders into the design process and test value hypotheses early when shaping data products.
• Explore Data-Based Revenue Opportunities
  Assess potential ways to monetize data while considering market opportunity and relevant regulatory constraints.
• Embed Ethics In Data Initiatives
  Give teams principles and review processes to consider ethical issues in data and AI projects.

Change management

Elevate’s change management service supports data-driven transformation by helping organizations overcome resistance, build a data culture and align data strategy with business objectives. The service includes maturity and stakeholder assessments, tailored transformation roadmaps, change sponsorship and governance, communication and training programs, workshops, coaching, and ongoing support. Adoption and impact are monitored through KPIs, feedback and continuous improvement, helping teams integrate new data practices, tools and processes into their work.

• Plan And Prioritize Transformation
  Provides a structured, organization-specific path for change, with prioritized initiatives and measures designed to support engagement and assess progress.
• Identify Readiness And Barriers
  Gives organizations a clearer view of their starting point, stakeholder engagement and capability gaps so they can address the factors that may hinder adoption.
• Support Lasting Adoption
  Helps leaders and teams put new data-driven practices into use and integrate them into their day-to-day work.
• Measure And Improve Adoption
  Makes progress and impact visible and provides feedback to inform ongoing adjustments to the change plan.
• Align Leaders And Responsibilities
  Helps sponsors guide the transformation and gives stakeholders clearer responsibilities and governance structures.
• Inform And Engage Teams
  Keeps teams informed throughout the transformation and uses visible progress and success stories to help maintain engagement.
• Build Data Skills
  Equips employees with knowledge and training tailored to the transformation, supporting their adoption of new data practices.
• Bring Teams Together
  Creates opportunities for leaders and teams to engage with the transformation through dedicated events and practical workshops.
• Sustain Shared Learning
  Creates an ongoing structure for teams to learn and share practices as the organization adopts data-driven ways of working.
• Build Internal Ownership
  Helps internal teams take on responsibilities progressively, supporting the continuation of change practices within the organization.

Acculturation and training

Elevate provides data, digital and AI acculturation and training programs, from ready-made courses to custom-designed learning pathways. Programs can be tailored to an organization’s tools, roles, industry and priority use cases. Topics include digital project management, data governance, analytics and data visualization tools, consent management, AI fundamentals, machine learning and AI applications in digital marketing. Training combines practical workshops and coaching with a delivery process that covers needs and skills assessment, program design, in-person or online sessions, and ongoing evaluation and refinement.

• Match Training To Business Needs
  Shape the learning pathway around the organization’s tools, teams, sector and priority use cases, with options ranging from packaged courses to custom-designed programs.
• Develop Practical Data And AI Skills
  Give teams access to learning across data and digital methodologies, analytics tools and AI topics, including foundational concepts and applications in marketing.
• Apply Learning To Real Work
  Use practical exercises, workshops and coaching to help participants apply new skills in their organization’s specific context and on relevant use cases.
• Focus Learning On Identified Gaps
  Assess current capabilities and business requirements before designing training, so the program can address identified skill gaps and align with organizational objectives.
• Deliver A Coordinated Learning Program
  Move from needs analysis and learning objectives to tailored content and training sessions, with delivery formats suited to the organization and its participants.
• Measure And Refine Training Impact
  Track skills development and post-training impact, then use evaluation to adjust programs and keep content and teaching methods relevant.
• Engage Teams Through Experiential Formats
  Choose event-based formats that support AI familiarization, practical team collaboration, solution prototyping, agent development or leadership strategy and roadmap planning.