According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable. That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business. During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you: • Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms • Improve the quality of your data by making sure your data is complete, verified, and validated • Incorporate third-party data to provide location, business, or demographic context • Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data

1. (Data) Integrity Matters
Four Ways You Can Build Trust in Your Data
Rochelle Grubbs | Director of Sales Engineering, Precisely

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3. Agenda
• Why it’s so hard to trust your data
• What is data integrity and why it matters
• How Precisely can help you:
• Integrate data from multiple sources
• Improve your data quality
• Incorporate third-party data
• Turn data into actionable insights using location
Today’s Speaker
Rochelle Grubbs
Director, Sales Engineering, Precisely

4. Every part of your business needs trusted data
Data-driven business modeling
and analytics
Risk, fraud, and
compliance management
Integrated, complete financial
budgeting and reporting
Efficient, intelligent use of HR data
for engagement and
management
Delivery of trusted data to for
decision making
Efficient, secure, cost-effective IT
operations
Data policy aligned with legal,
regulatory, and ethical mandates
Implementation of cloud strategy
Data-driven product strategy &
pricing programs
Design driven by customer
behavior analytics
Efficient, personalized customer
support and services
Product delivery optimization
Enriched 360 view
of customer
Targeted, efficient
marketing programs
Personalized, omnichannel
customer engagement
Predicting customer’s next
best action
Full funnel reporting & metrics
General
& Operations
Data
& IT
Product
& Technology
Sales
& Marketing

5. Hybrid Cloud
68%
of organizations said
disparate data
negatively impacted
their organization2
Streaming
92%
of firms agree
they need to
increase use of
outside data5
Location
47%
of newly created
data records have
at least one
critical error3
AI
54%
of enterprises
challenged by lack
of data location
intelligence4
of CEOs are concerned about the integrity
of the data they’re basing decisions on1
Sources: 1. Forbes, 2. Data Trends Survey 2019, 3. Harvard Business Review, 4. IDC, 5. Forrester
84%

6. Data integrity is…
data with maximum
accuracy, consistency,
and context for confident
business decision-making

7. Data integrity is
a journey
• Business & IT are collaborating more than ever –
no more corporate IT-driven initiatives
• Every organization is on their own unique
journey to data integrity
• Specific business use cases define the need for
discrete steps along the journey

8. Connect today’s
infrastructure with
tomorrow’s technology
to unlock the potential of
all your enterprise data
Data
Integration
Understand your data and
ensure it is accurate,
consistent and complete
for confident
business decisions
Data
Quality
Analyze location data for
enhanced and
actionable business
insights that drive
superior outcomes
Location
Insights
Power enhanced decision
making with expertly
curated, up-to-date
business, location, and
consumer data
Data
Enrichment
The four elements of data integrity
D A T A I N T E G R I T Y

9. Data integration challenges
• Need to break down data silos and be able to connect legacy systems to
new data platforms quickly
• Cannot build real-time data pipelines to feed business applications
and analytics
• Difficult to use a ‘design once, deploy anywhere’ approach that scales
• Hard to handle increasing data volumes with no impact to the business
• Need solution that can handle complex data formats (VSAM files, COBOL
Copybooks, IMS, mainframe fixed and sequential files, and Db2 data)
Data
Enrichment
Location
Intelligence
Data
Quality
Data
Integration

10. Data quality challenges
• Difficult to classify, locate, tag, and profile data for quick access
and collaboration
• Time consuming and manual effort to standardize, verify, and validate
data across entities
• Need complete, deduplicated, data to visualize relationships, patterns,
and trends
• Lack of a centralized interface for IT and Business users to manage rules
• Hard to trace complete data asset lifecycle – down to the column level
Data
Enrichment
Location
Intelligence
Data
Quality
Data
Integration

11. Location intelligence challenges
• Need to organize data in various formats providing a consistent view
across an enterprise
• Difficult to make addresses data fit for purpose – this requires significant
expertise, time, and resources
• Challenges in easily enriching address data consistently and at scale
• Hard to deploy accessible location analytics across an enterprise,
suitable for various users and departments
• Need to have a solution that can be customized and added into a
larger solution
Data
Quality
Data
Integration
Data
Enrichment
Location
Intelligence

12. Data enrichment challenges
• Manually tracking and incorporating up-to-date location, business,
and demographic information
• Unreliable location and industry data is not complete
• Difficult to integrate data across regions due to inconsistent data specs
• Struggle to accurately incorporate additional data attributes like points
of interest, property, demographic, and boundary datasets
• Need datasets that can support the global business with detailed
location, business, and consumer datasets
Data
Quality
Data
Integration
Data
Enrichment
Location
Intelligence

13. The Precisely Data Integrity Suite
• Delivers the essential elements of data integrity –
accuracy, consistency, and context
• Built on data integration, data quality, location
intelligence, and data enrichment trusted by over
12,000 enterprise customers
• Modular architecture allows you to choose just the
capabilities your need – and implement them
alongside your current infrastructure at scale
• Empowers faster, confident decision-making
with trusted data
Data
Integration
Data
Enrichment
Location
Intelligence
Data
Quality

14. Data integration
Data integrity capabilities
• Breaks down data silos –
connecting traditional systems to
next-gen technologies in minutes
• Builds real-time data pipelines
to feed business applications
and analytics
• Enables a design once, deploy
anywhere approach that scales
with your technology investments
• Handles increasing data volumes
with no impact to the business
Precisely strengths
• Easily handles complex data
formats (VSAM files, COBOL
Copybooks, IMS, mainframe
fixed and sequential files, and
Db2 data)
• Offers flexible delivery methods
from batch to real time
• Resilience, fault tolerance & scale
• Deploys across on-premises,
cloud, hybrid or multi-cloud
environments
Data
Enrichment
Location
Intelligence
Data
Quality
Data
Integration

15. 15
BUSINESS CHALLENGE
• Symphony Health was struggling with data
availability and needed a better way to support
the business with data requests.
• Line of Business data users submitted data
requests to DBAs in a ticketing system that was
inefficient and did not support business agility.
TECHNICAL CHALLENGE
• Needed a data technology solution that could
maintain their data catalog, quality control
sources, and create/run/monitor onboarding
processes.
• Lacked the ability to map sources, destinations,
and data attributes
• Lacked a client-facing solution to manage
data requests more efficiently
DATA INTEGRITY SUITE CAPABILITIES
• Data Integration for Big Data
• Data Integration Connectors + Hadoop
• Data Quality
• Data Cataloging
• Metadata repository
BENEFITS
• Lowered costs – no need for additional
databases and high-end hardware.
• Self-service for data users meant less
burden on internal DBAs to manage
data requests via ticketing system.

16. Data quality
Data integrity capabilities
• Classifies, locates, tags and
profiles data for quick access
and collaboration
• Standardizes, verifies, and
validates data across entities
• Delivers complete, deduplicated,
data to visualize relationships,
patterns, and trends
• Corrects, approves, and
reincorporates exceptions into
the data quality process
16
Precisely strengths
• Centralized interface for IT and
Business users to manage rules
• Intelligent data quality rules
recommendations based on a
machine learning matching
process
• Traceability of complete data
asset lifecycle – down to the
column level
• Data stewardship workflow
Data
Enrichment
Location
Intelligence
Data
Quality
Data
Integration

17. “It easily met all of
our requirements
(and exceeded
them), was simple
for us to install using
both local and
international
support, and the
implementation was
completed within
the scheduled
timeframe”.
Sam Bonanno
Infrastructure
Production Manager
BENEFITS
• The Precisely Data Integrity Suite
Customer 360 solution gave L’Occitane
a trusted, unified view of its customers
that improved their operational processes
and analytical business processes.
• It also reduced customer record
deduplication time from 150 minutes
to less than five minutes
17
BUSINESS CHALLENGE
• Marketing campaigns were difficult to
personalize because customer data was
scattered across multiple siloed systems
• Customers would receive multiple instances
of marketing material, increasing marketing
costs and delivering poor customer experiences,
due to duplicate customer records
TECHNICAL CHALLENGE
• Data was siloed and duplicated in 19
standalone systems, including Adobe CRM,
ecommerce, order management, API
management, customer care and payment
systems
• Lack of data visibility into a single view of their
data put the company at risk of not meeting
GDPR requirements
• Record deduplication took 2.5 hours, so it could
only be run on a weekly basis
DATA INTEGRITY SUITE CAPABILITIES
• Customer 360 Solution
• Context Graph
• Data Quality
• Data Federation
• Stewardship
• Discovery
• Data Integration Connectors

18. Location intelligence
Data integrity capabilities
• Operationalizes address data
through accurate, precise
geocoding to build a contextual
view
• Enables data enrichment using a
unique persistent address identifier
• Integrates and manages
geospatial data
• Empowers business users to
visualize and analyze location
intelligence
• Enterprise location analytics
Precisely strengths
• Hyper-accurate location
insights through best-in-class
global geocoding
• Unmatched scalability and
geospatial processing
performance in cloud native
and on-premises environments
• Open architecture and
interoperability across data
files formats
Data
Quality
Data
Integration
Data
Enrichment
Location
Intelligence

19. BUSINESS CHALLENGE
• Wanted to improve the speed and accuracy
of their client exposure assessments based
on location data
TECHNICAL CHALLENGE
• A geocoding solution capable of processing the
highest resolution data available to allow consistent,
comparisons across country lines
• Complete systemic control to fully understand the
way catastrophes model
• Visibility into corporate client’s or insurer’s book of
business to demonstrate the benefits of supplying
Willis with the most accurate data available
DATA INTEGRITY SUITE CAPABILITIES
• Spectrum Global Geocoding
• Spectrum Spatial
• Spectrum Data Quality
BENEFITS
• Simplify analyst workflows — reducing
geocoding from eight hours to one hour
• Carry out catastrophe modeling and
accumulation management, which now results in
full control over the resulting models
• Produce more reliable, precise results, and risk
estimations for hazards such as flood, wind,
earthquake, explosion, and bushfire
• Visualize a client’s exposure on a map in order to
demonstrate to clients the benefits of supplying
high resolution data

20. Data enrichment
Data integrity capabilities
• Enhances the value of your data
by enriching it with expertly
curated, up-to-date location,
business, and demographic
information
• Includes more than 400 datasets
with over 9,000 attributes,
including:
• Addresses
• Boundaries
• Demographics
• Points of Interest
• Streets
Precisely strengths
• The world’s largest portfolio
of location and industry data
• Uniform data specifications
across regions for global
coverage
• Interoperability with other
data and software products
• Instant access to find,
evaluate and sample data
via the Precisely Data
Experience
Data
Quality
Data
Integration
Data
Enrichment
Location
Intelligence

21. BUSINESS CHALLENGE
• Inaccurate and incomplete data inhibited
revenue growth for the customer’s data-driven
services that enable their merchants to be more
productive
TECHNICAL CHALLENGE
• Their existing solution’s address matching was
lacking in ability to properly match merchants
• Their existing solution for ETL did not have
sufficient performance and scalability
DATA INTEGRITY SUITE CAPABILITIES
• Addressing to parse and validate address
information
• Geocoding to geocode transactional data and
accurately identify with merchant location
• Data Integration to integrate mainframe data
into data lake for decision-making at scale
• Additional Capabilities:
• Points of Interest Data
• Global Postcode Data
• Administrative Boundaries Data
• Data Quality
• Discovery
The Precisely Data
Integrity Suite’s
capabilities support
a global financial
services company’s
goal of fueling
growth through
data-driven services
built on trusted,
enriched data.
BENEFITS
• Supports the customer’s data-driven services for:
• Intelligent Targeting
• Network Optimization for better location
decisions based on total channel and
customer profitability
Case Study:
Global Financial
Services Company

22. ACCURACY CONSISTENCY CONTEXT
On-premises, Hybrid Cloud & Cloud
Insurance
Cloud Data Warehousing
Retail
Banking &
Financial
IT Operations Solutions Customer 360
Data Integration Data Quality Location Intelligence Data Enrichment
Foundation
INTEROPERABLE | INTELLIGENT | DYNAMIC
Telco Government Healthcare
Data Governance
Precisely Data Integrity Suite

23. Data integrity is critical for next-gen tech
“Precisely’s alliance with Splunk empowers
customers to unlock the full potential of all
their trusted data with Splunk’s Data-to-
Everything Platform and solve their toughest
business challenges.”
“Together, Precisely and ServiceNow
help companies build a trusted data
foundation to support better service
experiences, eliminate manual
processes, and boost productivity.”
“By focusing on all the essential
dimensions of data integrity – accuracy,
consistency, and the critical component
of context – Precisely enables Snowflake
customers to confidently build data
opportunities in the cloud.”
“Cloudera partners with Precisely to
bring our customers data integrity
that allows them to take on all
projects, from the edge to AI.”
“Precisely’s focus on data integrity
combined with Collibra’s focus on
data intelligence enables our joint
customers to make their data
meaningful for their business and
their customers.”
“Precisely's focus on data integrity
helps Databricks customers bring
analytics-ready legacy data to the
cloud, to make their data lakes more
accurate, consistent and contextual.”

24. LEADER
Customer Comms
Management 2020
LEADER
Location Intelligence Platforms
Forrester Wave 2020
LEADER
Data Quality
Magic Quadrant 2020
CHALLENGER
Data Integration
Magic Quadrant 2020
Industry recognition
DATA INTEGRITY
DATA INTEGRITY
IN ACTION
Data
Integration
Data Quality Location
Intelligence
Data Enrichment Customer
Engagement
“Precisely now provides well-integrated
solutions for use cases needing a
combination of data integration
and data quality capabilities.”
“Precisely’s record for innovation in areas such as
data products and geodata enrichment are a key
strength…ideal for commercial enterprises servicing
a range of location intelligence use cases.”
“Precisely is the only
vendor to offer native
real-time personalized
and interactive video.”

25. Recap
1. Building trusted data is a journey
2. Focusing on data with maximum accuracy, consistency,
and context is the key to success
3. Precisely can help you:
• Integrate data from multiple sources
• Improve your data quality
• Incorporate third-party data
• Turn data into actionable insights using location

26. Learn more at precisely.com/data-integrity