Decision Confidence: Using Modern Approaches to Data Quality to Improve Trust in Data

Precisely
PreciselyPrecisely
Scott Arnett | Product Management
Meghan Widmaier | Sales Engineering
Decision confidence:
Using modern approaches
to data quality to improve
trust in data
Introductions
Meghan Widmaier
Sales Engineer
Scott Arnett
Sr. Director,
Product Management
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
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
For trusted data,
you need data integrity
Data integrity is data with maximum
accuracy, consistency, and context for
confident business decision-making
Data
Integrity
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
• 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
Delivering
trustworthy
data
1 Automate data
movement 2 Cleanse
and enrich
4 Streamline
governance
3 Proactively
monitor data
Demonstration
Delivering
trustworthy
data
1 Automate data
movement 2 Cleanse
and enrich
4 Streamline
governance
3 Proactively
monitor data
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
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
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
Questions?
Thank you!
www.precisely.com
Sales: 1 (877) 700 0970
1 sur 15

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Decision Confidence: Using Modern Approaches to Data Quality to Improve Trust in Data

  • 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
  • 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