This document summarizes a presentation about using data quality approaches to improve trust in data. It discusses how most business initiatives rely on trusted data but only a small percentage of data practitioners completely trust their data. It then outlines how data integrity, which includes data quality, integration, observability, governance and enrichment, can improve trust in data by making it more accurate, consistent and provide greater context. The document provides an overview of Precisely's data quality product capabilities and benefits, including automated data movement, cleansing, enrichment, monitoring and streamlined governance.

1. Scott Arnett | Product Management
Meghan Widmaier | Sales Engineering
Decision confidence:
Using modern approaches
to data quality to improve
trust in data

2. Introductions
Meghan Widmaier
Sales Engineer
Scott Arnett
Sr. Director,
Product Management

3. Business initiatives succeed with trusted data
of CEOs want their
organization to be
more data-driven
83%
Source: IDC
Data-Driven
Design
Regulatory
Compliance
Advanced
analytics
Risk
Management
Data
Democratization
Customer
Retention
Supply Chain
Resilience
Financial
Modeling
Real-Time
Dashboards
Efficient
Cross-Sell and
Up-Sell
ESG
Reporting
Rapid
Product
Development
Targeted,
Personalized
Marketing
Machine
Learning
Corporate
Sustainability
Artificial
Intelligence

4. of data practitioners
completely trust
their data
of data practitioners
strongly believe their
actions are driven
by data analysis
30%
27%
But your team doesn’t trust your data
Can’t get it fast enough
Don’t understand it
Can’t trust it
Don’t have the context to use it
Don’t know when it’s going to break
Source: IDC

5. For trusted data,
you need data integrity
Data integrity is data with maximum
accuracy, consistency, and context for
confident business decision-making
Data
Integrity

6. Cloud / VPC / On-Premises
Data
Integration
Data
Observability
Data
Quality
Geo
Addressing
Spatial
Analytics
Data
Governance
Data
Enrichment
APIs and SDKs
Enterprise
Business Systems
• Enterprise apps
• Analytics tools
• Precisely industry
apps
• BI dashboards
• AI/ML
Enterprise
Data Sources
• Business Intelligence
• CRM
• Workforce mgmt.
• Data warehouse
• ERP
• Billing
Data Integrity services
Data Integrity Foundation Data catalog Intelligence Agents

7. • Run quality processes where data lives
• Design data quality pipelines with a
friendly, intuitive interface
• Utilize data profiling and self-service
discovery
• Cleanse, standardize, and verify data
• Match using sophisticated algorithms
• Validate address accuracy
• Streamline enrichment by appending a
unique, persistent ID to addresses
• Perform continuous monitoring &
receive automated alerts
• Integration with data catalog
providing easy searchability and
visibility into metadata
K E Y F E A T U R E S
• Improves efficiency with standardized
and repeatable data quality measures
• Increases confidence in decisions with
accurate, trusted data
• Decreases costs by no longer storing
and managing multiple copies of data
• Improves timeliness of decisions through
robust software and enrichment data
• Reduces time spent on tasks to make the
data ready for operations and analytics
• Creates understanding of data health
• Reduces risk associated with erroneous
analytics that impact business decisions
• Enables quick remediation of issues
• Allows for visualization of data
relationships, lineage, and business
impact
B E N E F I T S
Data Quality
Deliver data that’s
accurate, consistent,
and fit for purpose
across operational
and analytical systems

8. Delivering
trustworthy
data
1 Automate data
movement 2 Cleanse
and enrich
4 Streamline
governance
3 Proactively
monitor data

9. Demonstration

10. Delivering
trustworthy
data
1 Automate data
movement 2 Cleanse
and enrich
4 Streamline
governance
3 Proactively
monitor data

11. Data Quality differentiators
Integrated capabilities identify and resolve data quality issues as well as find,
understand, observe, and enrich data
Simple design interface for data quality rules visualizes data changes as they
happen and enables quick remediation when issues are identified
Artificial intelligence and machine learning algorithms deliver sophisticated
record matching and proactive alerts of anomalies & outliers
Best-in-class geo addressing capabilities validate addresses, assign lat/long
(geocode), and append a unique identifier, to enable data enrichment
Design-in-the-cloud, run anywhere deployment is scalable, flexible, and cost-
effective while allowing data quality processes to run wherever data lives

12. LOCATION
QUALITY
GOVERNANCE
ENRICHMENT INTEGRATION
Your unique data
integrity journey
will reflect your
business needs
Data
Integrity
Data integrity
is a journey
• Every journey to data integrity is unique and
driven by business initiatives
• Market trends are accelerating the need for
data integrity
• Precisely can help you at every step of your
data integrity journey

13. The leader in data integrity
Our software, data enrichment products and
strategic services deliver accuracy, consistency, and
context in your data, powering confident decisions.
of the Fortune 100
99
countries
100 2,500
employees
customers
12,000
Brands you trust, trust us
Data leaders partner with us

14. Questions?

15. Thank you!
www.precisely.com
Sales: 1 (877) 700 0970