Cases

Discover how organizations unify customer data and gain better insights using composable BI analytics based the RelevantEdge data orchestration service and RelevantEdge web tracker based on tail.js.

Industry

Hospitality, travel, & tourism

Global resort brands gain better visibility for customer booking journey

Kerzner International

Brands

• Atlantis, The Palm
• Atlantis, The Royal
• Aquaventure World
• One&Only Resorts
• Mazagan Beach & Golf Resort
• Bab Al Shams

Use cases

• Unified multisite BI analytics
• Booking journey attribution
• Custom personalization analytics
• Server-side tracking

Data sources

• DXP
• CMS
• Booking data API
• Xe currency conversion API
• Google Search Console
• Global holiday calendar
• Monetate A/B testing
• Paid advertising platforms

Data Destinations

• Power BI
• Datawarehouse (SQL)
• AWS
• Google Big Query

Background

Kerzner International operates in the hospitality, travel, and tourism industry, specializing in the development and management of ultra-luxury resorts, hotels, and residences. They are a global, Dubai-based operator focusing on high-end, destination-defining experiences, featuring brands such as Atlantis (Atlantis, The Palm), One&Only, SIRO (fitness/wellness), and Rare Finds.

Challenge

• High complexity and cost of conventional analytics across multiple brands and resorts websites hosted in a multisite, multilanguage DXP
• Lack of data consistency for bookings, revenue and measuring content performance
• Strict data-security and data-sovereignty requirements

Solution

• Unified multi-brand BI solution combining behavioral data, booking data, content from CMS, and marking channel data
• Booking journey attribution model and KPIs that tracks users across brands and property sites
• Secure self-hosted, collaborative unified dashboards using Power BI

Results

• Improved data/informed decision making across a variety of central and local sales and marketing stakeholders
• Improved bookings and revenue using unique future-date conversion rates KPIs
• Reduced cost of data security and compliance

Industry

Automotive

Automotive supplier increases
lead-management efficiency with unified BI data

Bridgestone 

Brands

• Bridgestone Tyres Australia
• Bridgestone Tyres New Zealand

Use cases

• Click-and-Mortar commerce
• Automotive e-commerce reporting
• Lead management
• Multi-store Google Business Profile data management

Data sources

• Commerce server
• CMS
• DXP

Data Destinations

• Tableau
• Power BI
• Datawarehouse (SQL)

Background

Bridgestone Tyres Australia & New Zealand (BANZ) is a leading provider of sustainable mobility and advanced solutions, primarily serving as a major supplier of premium tyres to the Australasian automotive industry. Its operations integrate a vast retail and service network of over 550 stores—including Bridgestone Select and Bridgestone Service Centres.

Challenge

• Barriers inhibiting rolled-up commerce reporting across retail stores
• Prohibitive cost of from-scratch data engineering custom commerce BI reporting
• Needed efficient method to manage Google Business Profile (GBP) data for store information

Solution

• Data pipelines for moving lead, quote and booking data from commerce site to data warehouse
• Data warehouse modeling for unified BI reporting in Tableau and Power BI
• GBP data management solution using integrated CMS and Power BI

Results

• Faster time-to-decision for marketing actives related to commerce retail bookings
• Dramatically reduced data engineering costs using RelevantEdge data orchestration service
• Reduced cost of managing store hours and information that resides in CMS and GBP

Industry

Financial services, Asset management, Fund management

Asset management firm gains better insights using composable BI analytics

UK-based asset management organization

Use cases

• Advanced Content attribution
• Segmented KPIs
• Strict data security & compliance
• Server-side tracking

Data sources

• RelevantEdge web tracker
• CMS
• Salesforce CRM
• Pardot

Data Destinations

• Power BI
• Datawarehouse (SQL)

Background

Publicly listed UK-based active fund management firm provides a variety of investment products and services to institutional, professional, and private investors.

Challenge

• Required several custom KPIs based on segmented, role-based website visitor types
• Prohibitive cost of conventional analytics tagging that provided fragmented data
• Need for unique content KPIs across content types (blogs posts, video, podcast, magazine, email, etc.)

Solution

• Secure, composable BI analytics with extensive behavioral data tracking
• Integrated Salesforce data provides a single source for fund information used in Power BI analytics
• Advanced insights for investor journey across fund content and fund pages (by investor type)

Results

• Improved visibility to measure content ROI by content type and user segment
• Better decision-making foundation based on more complete conversion tracking
• Reduced cost of custom analytics (vs. Google Analytics) where integrated Salesforce data is used in Power BI for segmented insights

Industry

Technology & Manufacturing

Manufacturer improves DXP ROI using composable analytics

Gallagher

Brands

• Gallagher Security

Use cases

• B2B multi-site, multilanguage analytics
• Lead status reporting
• Secure BI analytics

Data sources

• DXP
• CMS
• Email

Data Destinations

• Power BI
• Datawarehouse (SQL)

Background

Gallagher Group is a global technology leader that designs and manufactures innovative solutions for animal management (such as the world’s first electric fence and performance monitoring), integrated security systems (including access control and perimeter protection), and fuel management technology.

Challenge

• Need for secure dashboards used by central and local marketers
• Requirements for easier identification and management of leads using DXP behavioral data tracking
• Strict requirements for data and dashboard-user security

Solution

• Composable BI analytics joining user-session data with CMS-based content and email using the RelevantEdge platform
• Secure architecture using Azure, Power BI and RelevantEdge data orchestration service
• Distributed Power BI dashboards managed by in-house users

Results

• Increased utilization of analytics self-service Power BI dashboards
• Continuous marketing measurement and improvement with visibility in executive dashboards
• More efficient, shared visibly and tracking of leads from web channel

Industry

DX and AI Technology

Software technology vendor increases content ROI using content attribution modeling

Sitecore

Use cases

• Conversion optimization KPIs
• Content attribution
• Campaign attribution
• Personalization analytics

Data sources

• CDP
• DXP
• Personalization
• CMS
• Search
• 6th Sense
• Salesforce
• Google Search Console
• Online advertising

Data Destinations

• Power BI
• Datawarehouse (SQL)
• CDP
• CRM

Background

Sitecore is a global provider of digital experience software that offers an integrated platform combining enterprise-grade content management (CMS), AI, digital marketing tools, and e-commerce capabilities.

Challenge

• Unreliable website and conversion data from conventional analytics
• Siloed digital experience, CRM and ABM data forcing manual monthly report creation in Excel
• Lack of visibility for content ROI based on conversions and sales attribution 

Solution

• Unified BI dashboards providing KPIs for executives, managers and  field marketers
• Content journey model showing content performance filtered by CRM account and lead status
• Unified Power BI dashboards providing deep insights using data from CDP, Personalization, CMS-based content and search

Results

• Proven content optimization ROI
• Better decision making based on more accurate composable analytics experience data
• Cost-effective migration of DXP BI analytics to composable CPD BI analytics

Industry

Agricultural

Agribusiness organization unifies app and web commerce BI reporting

DLG

Use cases

• B2B portal commerce
• Sales intelligence  
• Self-service utilization

Data sources

• SAP
• Microsoft Dynamics 365
• CMS
• DXP

Data Destinations

• Power BI
• Datawarehouse (SQL)

Background

DLG Group is a major European cooperative owned by approximately 25,000 Danish farmers, primarily operating as a leader in the Agribusiness sector by providing essential feed, seeds, and crop exports. For the 2024 fiscal year, DLG Group reported a total annual revenue of DKK 60.7 billion (approx. 8 billion EUR).

Challenge

• Fragmented reporting for app and website commerce orders
• Lack of accurate field sales intelligence

• Underutilization of self-service tools on app and website

Solution

• Sales and marketing BI dashboards for better sales intelligence (combining CRM attributes with order data) powered by RelevantEdge
• Marketing KPIs that attribute self-service content by account, orders and revenue
• Unified Power BI reporting based on joined IDs from SAP, CRM and CMS logins

Results

• New insights for key account behaviors, leading to better sales intelligence
• Increased use of self-service content by delivering better data-driven tools
• More accurate website session data based on DXP server-side tracking

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