Sprinklr™

From Fire Alarm to
Sprinkler System

Stop reacting to data quality fires. Prevent them at the source with intelligent, automated diagnostics.
160+ pre-loaded assets. 10,000+ auto-discovered relationships. 3-minute root cause analysis.

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The Concept: Reactive → Proactive

Transform your approach to data quality from firefighting to prevention

Fire Alarm to Sprinkler System Concept

❌ Fire Alarm (Reactive)

  • Dashboards show KPIs are underperforming
  • But can't identify the root cause
  • Traditional diagnostics take months
  • Cost hundreds of thousands in consultant fees

✓ Sprinkler System (Proactive)

  • Instant correlation: KPI to data quality issue
  • Root cause traceability: Metric to failing record
  • Automated remediation with $$ impact
  • 3-minute setup vs. weeks of manual analysis

The 7 Blind Men & The Elephant

Organizations see symptoms but miss root causes

💰

CFO Sees

Declining KPIs and missed business targets

💻

Data Engineer Sees

Data quality errors and system failures

⚙️

Operations Sees

Process inefficiencies and manual work

🖥️

IT Sees

Legacy systems and technical limitations

🎯

Strategy Sees

Strategic goals at risk

🤖

Innovation Sees

AI initiatives blocked

Nobody Sees How ALL Connect

The Result: Organizations treat symptoms instead of root causes, wasting millions on solutions that don't address the real problem.

7 Interconnected Diagnostic Dimensions

Sprinklr reveals the complete picture by analyzing all dimensions simultaneously

01

KPI Performance

What's underperforming: Identifies which business metrics are declining and by how much

02

Data Quality

Which characteristics affected: Maps to 60 DAMA-aligned DQ dimensions to identify specific data issues

03

Data Standards

Technical validation: Shows which standards are violated and technical rules being broken

04

Environmental Factors ⭐

TRUE root causes: Reveals that 40% are process issues, 25% organizational, 35% data/tech

05

Business Lifecycles

Which processes impacted: Identifies affected business processes (O2C, P2P, R2R, etc.)

06

Strategic Objectives

C-suite priorities at risk: Links issues directly to executive strategic goals

07

AI Readiness

Innovation initiatives blocked: Shows which AI/ML projects are at risk and why

Example: "Perfect Order Rate Declining 3%"

Traditional approach vs. Sprinklr multi-dimensional analysis

❌ Traditional Approach

Diagnosis: "You have data quality problems"

Solution: Fix data errors ($50K band-aid)

Result: Problem persists because root cause not addressed

✓ Sprinklr Multi-Dimensional Analysis

Data Quality Issues (Symptoms):

  • Completeness: Missing customer info
  • Accuracy: Wrong shipping addresses
  • Timeliness: Delayed order status

Environmental Factors (Root Causes!) ⭐:

  • PRIMARY: High Manual Processes → Automate order entry
  • SECONDARY: Lack of Standards → Implement governance
  • TERTIARY: Legacy Systems → Modernize TOS

Business Impact:

  • Strategic: Threatens "Customer Experience" goal
  • AI Impact: Blocks "Personalization Engine"
  • Financial: $100K/month + innovation delay

Result: Balanced solution addressing data, process, organization, AND technology

Platform Capabilities

See Sprinklr in action with real deployment screenshots

Executive Dashboard & World Map

25 global locations with performance bubbles. Regional comparisons. Interactive time-series analysis.

Sprinklr Executive Dashboard with Charts

Interactive Diagnostics

Correlate KPI performance with DQ events in real-time. Drill down from metrics to failing records.

Sprinklr Diagnostic Dashboard

Root Cause Analysis

Multi-dimensional analysis reveals environmental factors—process, organizational, and technical root causes.

Root Cause Analysis View

Governance Asset Library

50 KPIs, 50 Data Standards, 60 DQ Dimensions. Search and filter across all 160+ expert assets.

Governance Library Interface

Relationship Intelligence

2,700+ relationships: KPIs → Standards → DQ Dimensions. Visual network explorer. Connection density analysis.

Relationship Network Visualization

Automated Remediation

Auto-generated JIRA/ServiceNow tickets. Business impact quantification ($$ per issue). Priority scoring.

DQ Report Card and Remediation

160+ Pre-Loaded Expert Assets

What consultants charge $500K to manually map

0
+
Industry-Proven KPIs
0
DAMA-Aligned DQ Dimensions
0
+
Business Lifecycles Mapped

Environmental Factors

8 factors pre-mapped:

  • "High Manual Processes" affects 17 DQ dimensions
  • "Excel Hell / Shadow IT" affects 54 DQ dimensions
  • "Lack of Data Standards" affects 21 DQ dimensions

AI Readiness Factors

8 AI initiatives mapped:

  • "Predictive Models" need 31 DQ dimensions
  • "Personalization" needs 14 DQ dimensions
  • "Automation" needs 23 DQ dimensions

Strategic Objectives

8 C-suite priorities:

  • Customer Experience Excellence
  • Operational Efficiency
  • Data-Driven Decision Making

Standards & Rules

50+ data standards:

  • ISO standards validation
  • Industry-specific rules
  • Regulatory compliance checks

10,000+ Pre-Discovered Relationships = The Moat

Platform-Agnostic Deployment

Works on what your customer already owns

Platform Use Case Deployment Time
Databricks Enterprise data lake 2-3 days
Snowflake Cloud data warehouse 2-3 days
AWS/Azure/GCP Native cloud services 3-5 days
n8n/Supabase Cost-effective demo 1-2 days
PostgreSQL On-premise 2-4 days

What We Provide: The intelligence layer (data model, relationships, logic)

What Customer Provides: Infrastructure, hosting, security

Benefit: No vendor lock-in. Works on what they already own.

Typical Engagement Value

€50K-150K

Per enterprise diagnostic project
Partner receives 75% | QuirkySwirl receives 25%

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✓ Complete Training Included ✓ Branded Toolkit Provided ✓ Quality Assurance Support