Technology
Sprynt International — Decision Velocity
25% faster executive decisions
Inline analytics aligned global leadership on the same KPIs within weeks.
Services
Data Analytics & Insights
Turning raw data into powerful knowledge for AI, automation, and better customer outcomes.
Live KPI dashboard
Monitor CSAT, compliance, and automation performance in real time.
Why Data Is the Lifeblood of CX in 2026
Customer experience lives or dies on data. Yet most enterprises are drowning in disconnected systems:
Without clean, integrated, AI-ready data, your CX strategy can’t reach its potential.
Siloed and underused data
Organisations admit their data is siloed and underused.
Source: Deloitte, 2025
Executive-Level Benefits of Advanced Analytics
Give leaders real-time clarity on performance, risk, and growth opportunities.
- Strategic Clarity: Link CX data to financial performance and KPIs.
- AI Readiness: Build the foundations for deploying advanced AI and machine learning.
- Competitive Advantage: Use insights to identify trends before your competitors.
Operational Benefits of Inline Analytics
Embed intelligence directly into processes so teams can act in the moment.
- Real-Time Observability: Dashboards that update as customer interactions happen.
- Knowledge at the Point of Need: AI knowledge bases provide instant, accurate information.
- Process Integration: Analytics embedded into workflows, so insight isn’t an afterthought.
Our Data Analytics & Insights Solutions
Modular services that create an AI-ready, insight-rich CX estate.
Data Lakes & Unified Platforms
Centralising customer data for accessibility and AI training.
AI Knowledge Bases
Structured, continuously updated data sources powering smarter automation.
Inline Analytics in Workflows
Automatically storing, analysing, and feeding back insights as processes run.
Data Maturity Assessments
Benchmarking where you are and building a roadmap to advanced data use.
Cross-Application Analytics
Connecting Avaya, Salesforce, Genesys, and other platforms into one insight layer.
Proven Outcomes From Data Analytics Projects
What clients achieve when intelligence becomes inline.
- 25% faster decision-making with inline analytics dashboards.
- Automated KPI reporting freeing staff from manual data collection.
- AI-ready architectures for next-generation customer service.
- Improved compliance and governance through structured knowledge bases.
KPI Stream
Customer sentiment pulse
Positive sentiment surges when knowledge articles are updated weekly.
CSAT score
89
+12 pts QoQ
First contact resolution
78%
+9 pts
Escalation volume
12%
-6 pts
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Case Study: Sprynt International
Challenge: Disparate systems and manual reporting slowed decision-making.
Solution: Built a data lake, inline analytics, and an AI-powered knowledge base.
Impact: 25% faster decisions, automated KPIs, and an AI-ready environment.
Industry outcomes at a glance
Retail
Global Retailer — Unified Intelligence
Single customer view across 18 markets
Customer data lake centralised loyalty, ecommerce, and store insight layers.
Financial Services
Financial Services — AI Knowledge Fabric
90%+ accurate advisor responses
AI-ready knowledge base powered omnichannel guidance and compliance reporting.
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Data Maturity Quiz
Translate your current data reality into a practical action plan.
Select the option that best describes your organisation today.
Answer each question to reveal your score (0/3)
Answer each question to reveal your score
FAQs About Data Analytics & Insights
Click to expand the most common questions leaders ask us.
What’s the difference between a data warehouse and a data lake?
A data warehouse stores structured, predefined information, while a data lake ingests all data — structured and unstructured — perfect for AI.
How does this support AI projects?
AI requires clean, well-structured, and connected data. We build the knowledge bases and pipelines that make AI accurate and effective.
What if our organisation is still at low data maturity?
We begin with maturity assessments, then design a roadmap with achievable milestones.
Which platforms do you integrate with?
We work across Salesforce, Avaya, Genesys, AWS, Azure, Google Cloud, and bespoke data systems.
Ready to turn data into your competitive edge?
Book a workshop — start with a 30-minute Teams session to explore your data challenges and opportunities.
Book a Workshop