Weaving Cloud Strategy

Weaving the
Cloud into Your
Strategy
Future Proofing Your Investments
September22,2022
EmilyWashington | SVP, Product Management

Today’s
speaker
Emily Washington
SVP, Product Management
Data Integrity Suite

Exploding need for trusted data
83% of CEOs
want their
organization to be
more data-driven
Digital transformation
investments to
top $6.8 trillion globally
by 2023
68% of Fortune 1000
businesses now
have CDOs – up 6x
in the last decade
Global data
infrastructure spending
expected to reach $200
billion this year
Data is the fuel for decision-making today
3
IDC IDC Gartner Forbes

Strategic Initiatives
to Move to the Cloud….
Why?
1. Reduce Costs -Close Data Centers andMovetoCloud
2. Business Agility-CompetitiveAdvantage
3. CentralizedData Storage/Access
4. DigitalCustomerEngagement
5. Realtime DataCollection
6. RapidPrototypingvia MachineLearning
7. Deliver New Insights withData-EnrichedAI Frameworks

The modular, interoperable
Precisely Data Integrity Suite
contains everything you need to
deliver accurate, consistent,
contextual data to your business -
wherever and whenever it’s needed.

Enterprise Data
Sources
• Business Intelligence
Intelligence
• CRM
• Workforce mgmt.
• Datawarehouse
• ERP
• Billing
Data
Integratio
n
Data
Observabil
ity
Data
Quality
Geo
Addressing
Spatial
Analytics
Data
Governance
Data
Enrichment
Data Integrity
Foundation MONITORING ORCHESTRATION SECURITY AUTHENTICATION ENTITLEMENTS
Consistenc
y
Accuracy Context
Enterprise
Business
Systems
• Enterpriseapps
• Analytics tools
• Precisely industryapps
• BI dashboards
• AI/ML
APIs
AGENTS DATA CATALOG
6
6

Data
Integration
7 strong modules deliver exceptional value
7
Data
Observability
Data
Governance
Data
Quality
Geo
Addressing
Spatial
Analytics
Data
Enrichment
Breakdowndatasilos
andquicklybuild
moderndatapipelines
thatdriveinnovation
Proactivelyuncover
dataanomaliesand
takeactionbeforethey
become costly
downstreamissues
Managedatapolicy
andprocesseswith
greaterinsightinto
yourdata’smeaning,
lineage,andimpact
Deliverdatathat’s
accurate,consistent,
andfitforpurpose
acrossoperationaland
analyticalsystems
Verify,standardize,
cleanse,andgeocode
addressestounlock
valuablecontextfor
moreinformeddecision
making
Deriveandvisualize
spatialrelationships
hiddeninyourdatato
revealcriticalcontext
forbetterdecisions
Enrichyourbusinessdata
withexpertlycurated
datasetscontaining
thousandsofattributes
forfaster,confident
decisions

Data
Integration
Data
Observability
Data
Governance
Data
Quality
Geo
Addressing
Spatial
Analytics
Data
Enrichment
Break down
data silos
and quickly
build
modern data
pipelines
that drive
innovation
Proactively
uncover
data
anomalies
and take
action
before they
become
costly
downstream
issues
Manage data
policy and
processes
with
greater
insight
into your
data’s
meaning,
lineage,
and impact
Deliver
data that’s
accurate,
consistent,
and fit for
purpose
across
operational
and
analytical
systems
Verify,
standardize,
cleanse, and
geocode
addresses to
unlock
valuable
context for
more informed
decision
making
Derive and
visualize
spatial
relationship
s hidden in
your data to
reveal
critical
context for
better
decisions
Enrich your
business data
with expertly
curated
datasets
containing
thousands of
attributes
for faster,
confident
decisions
Powerful Data Integrity Foundation
8
Data Integrity
Foundation
Agents
Securely connect on-
prem, cloud, and hybrid
environments to the
Precisely Cloud
APIs
Integrate any Data
Integrity Suite
capability with
existing workflows
Data Catalog
A shared metadata
catalog that enables
Suite modules
to build value together

Data Integrity Suite is
differentiated
9
Modular
• Easytoconsumejustthe
modulesyouneed
• Noheavyplatform
investment
• Modulesdelivergreat
valuealone andever
greatervaluetogether
Interoperab
le
• Each suitemodule works
seamlesslywiththeothers
• Suitemodulesintegrate
witha customer’sexisting
Preciselyproducts
• Modulesare designedto
workin acustomer’s
existingtechstack
Easy
• Designedforbusinessand
datateams
• Business-friendly,no-code
userexperience
• Enablesdata
democratization anduser
self-service
Intelligent
• MLautomates&
streamlinesdataintegrity
processes
• Datamonitoringand
anomalyidentification
• Dataqualityrule
suggestions
Dynamic
• Real-timereplicationdelivers
datawhen/whereneeded
• Dynamicdatasetsupdateas
newinformation
becomesavailable
• Dataisobserved
andissuesare proactively
flagged

Consistenc
y
Accuracy Context
Data Integrity Foundation
Available
today!
Coming
soon!
Data
Quality
Geo
Addressin
g
Spatial
Analytics
Data
Enrichmen
t
Data
Integrati
on
Data
Observabil
ity
Data
Governanc
e
3 modules available today
with more coming soon!
10

Let’s see the
Data Integrity
Suite in
action

Future Vision: A one-
stop shop for data
integrity
• Personalized user experience
across data integrity
capabilities
• Easy to search data catalog
for information you need
• Statistics and alerts to monitor
the health of your data
• AI-driven, guided user
experience to recommend
next data integrity action

• Additional sources &
targets
• Expanded functionality
• New modules
• Tighter integration
Iterative
delivery
13

LOCATION
QUALITY
GOVERNANCE
ENRICHMENT INTEGRATION
Your unique data
integrity journey
will reflect your
business
needs
Data
Integrity
Continued investment
across our portfolio
14
• Ongoing investment in support and
enhancements for our product
portfolio
• Customers can continue to use the
products they rely on today – and
explore the Suite for new use cases
at their own time
• We are creating a seamless
transition for those that choose to
move – leveraging the
interoperability we’ve already
built between our products and
the Suite

What this means for you
Extend data
integrity into
new, modern
technology
environments
Explore larger
data volumes
easier and broader
user adoption
through a
centralized data
catalog and self-
service capabiliti
es
Scale as data
grows and use
cases evolve
without rework,
new product
installations,
upgrades
Leverage
investment in
current Precisely
products AND
consume new
capabilities in
continuous
delivery model

Improving
Operational
Value in the
Cloud
What Path Should You Take?
AndrewChumney,Principal Product Manager

Improving Operational Value in the Cloud: Starting Point
83% of CEOs
want their
organization to be
more data-driven
Digital transformation
investments to
top $6.8 trillion globally
by 2023
68% of Fortune 1000
businesses now
have CDOs – up 6x
in the last decade
Global data
infrastructure spending
expected to reach $200
billion this year
Data is the fuel for decision-making today
IDC IDC Gartner Forbes

Improving Operational Value in the Cloud: Acceleration
5000%
The growth of data created,
captured, copied, and
consumed globally. From
2010 to 2020 the volume of
data increased from 1.2
zettabytes to 59 zettabytes.
[Forbes]
(1 zettabyte = 1 trillion GB)
26%
Five-year CAGR through
2024 of the data created,
captured, copied, and
consumed in the world. The
amount of data created over
the next three years will be
more than the data created
over the past 30 years.
[IDC]
75%
Enterprises will use new,
external data sources to
enhance their cross-
functional decision-making
capabilities in ways that
increase value compared
with using internal data
alone.
[IDC]

Operational Value of
the Cloud: Flexibility

Cloud Architectural Patterns
OnDemand OnDemand
On
Premise
On Premises Cloud to Cloud
System A System B
The
Enterprise
OnDemand
Hybrid
On
Premises
The
Enterprise
The
Enterprise

On Premise API Driven Solutions
OnDemand
Marketplace
Apps
Microsoft, Google,
SAP, NetSuite, etc.
Independent
Capability
APIs
Industry
Focused
Solutions
Support Other
Apps
Self-Service
Web Sites
Support
Partner
Application
s
OnDemand
On Premises
System A System B
The
Enterprise

Hybrid - Current Infrastructure
& Cloud
On-Premises and OnDemand work together when:
• Leveraging existing assets and/or processes in a hybrid (on-
premises and cloud) deployment model
• On-premises is not cost effective due to:
o Data costs
o Infrastructure Costs
o Scalability to meet variable compute demand
• Service is not available on-premises (e.g., phone append,
email validation, data enrichment)
• OnDemand hosting services to reduce operational complexity
OnDemand
Hybrid
On
Premises
The
Enterprise

Cloud to Cloud
Flexibility
Capital Expenditure Free, so faster procurement
Reduce load on IT organization
Fast time to value
Rapid Scalability
Improved Data Agility

the Cloud: Data Enrichment

• Increased data integrity by enriching data for
better matching and increased operational
value
• Standard services for common DQ reqs.
including Cleansing, Parsing, Matching
• Basic, Pro and Premium levels of coverage
for physical addresses
• Email address validation
• Provide hosted environments for complex
data enrichment services
• Understand patterns and deep analysis
• AI data shaping
Custom services to meet specific use cases
and industry demand:
• Insurance
• Manufacturing and Distribution
• Financial Services
Precisely cloud benefits:
• Physical Address as a starting point;
enriching location data with many options of
dimensionality adding context to address /
location
• Include a geocode
• With Precisely and customer data
• Travel cost/time and directions
Address Validation Geo-Enrichment
Custom Spatial
and Routing
Data Integrity
and Quality
Custom Services Single Tenant

the Cloud: Single View

• Applying analytical
capability to create
insight
• Explore Data
• Predict
• Optimize
Interactions
Customer-
centric Insights
Complete View of
Individual Interactions
• Transactional Info
with Business
Applications
(Sales, Billing, Customer
Center, Support, Etc.)
• Interactions Information
from Social Media
• Anonymous Web &
Mobile Interactions
• Products and services
purchased
• Household relationships
• Organizational relationships
• Social network
• Location relationships
Single View of Individual
Relationships
Single View of Individual +
relationships + all interactions
Evolving to a Single View of Data
Single View of Individual
• Data integration
• Data cleansing
(Data Quality)
• Data enrichment
(geocoding)
• Data supplementation
(Reference data)
Profile, non-profile or corporate customer

Data
Standardization
Data
Enriched
Data Hierarchies and
Dimensional Structures
Data Exchange
Data
Sources
Data
Unification
Dimensional-ized Data
Hierarchies, Relationships, Enriched
Attributes
Single View Methods
Enriched Data
IDs, Ownership Hierarchy, Associations,
Enriched Attributes
De-Duplicated Data
IDs, Company Name, Geo-Code, Contact,
etc.
Standardized Data
Company Name(s), Address, Contact, etc.
Client-Side
Data
Products

the Cloud: Examples

CHALLENGE
Single View: Merchant
• Unlock the value of siloed
data to drive critical
business decisions
• Inability to understand
merchants
• Inability to enrich their
data-dependent either on an
entity or on a specific
location
SOLUTION
• Enterprise Data Quality with
single view capabilities
• Location Intelligence for
location-based enrichment
• Ability to support both on-
premise and cloud scalability
BUSINESS VALUE
• Collect and understand the
enterprise data
• Transform data assets into a
solid foundation supporting
business decisions
• Unlock key insights to enable
further sales/growth
Multinational financial global
pioneer in payment innovation
and technology connecting
billions of consumers,
issuers, merchants,
governments, and businesses.
Large
Multinational
Financial
Services
Corporation

The US Government needed a method
to track parts across the entire
maintenance data envelope to
improve aircraft readiness.
Specifically, the US Government
was seeking a solution for data
patterns and user self-service
complex data exploration,
Military Aircraft
Maintenance and Part
Traceability
CHALLENGE
Single View: Aircraft Maintenance
Data strategy called for a
unified data fabric of
maintenance actions in a user
self-service experience across
the maintenance operational
ecosystem.
SOLUTION
Data Governance, Data Catalog,
Graph persistence and Data
Exchange Services. Data
enrichment from multiple sources
to capture a more complete
operational picture and resolve
data integrity and data gap
issues,
BUSINESS VALUE
Pro-active use of complex data
integrity solutions to mitigate
operational and logistics issues
to support optimal aircraft
availability. Specifically
identifying data patterns for
operational problem solving and
building a basis for AI driven
forecasting.
32

the Cloud: Evolving Operational Data

Sale
s
34
Get
trusted
data
to the systems
that power your
business
Data Ops

Data on the Move
Data
transformation &
modernization
projects
System to system/Application to
application reconciliation
Merger & acquisition processes
System A System B System C

Next Generation
Operational Value

AIOps Maturity
Curve
Operational
Insights
Powering
AI/ML
Algorithms
embedded
into AI/ML
Integrated
into AI/ML
and Using
Responses
STAGE
1
STAGE
4
STAGE
3
STAGE
2
Effective Proactive Prescriptive Predictive

Benefits
of an
evolved
approach
to
the Cloud
Optimized business decisions
Accelerated time to value
Clear alignment around strategic
direction and execution
Improved engagement of top talent on
strategic and innovative initiatives

OnDemand and Precisely Data
41
• Risk analysis
• Customer insight
• Pricing
• Fraud analytics
• Financial crimes
and compliance
• Branch location
analytics
• Fraud analytics
• Retail location
analysis
• Location-based
marketing &
advertising
• Network and
coverage planning
• Location-based
marketing &
advertising
• Asset management
• Checkout analytics
• Logistics and
delivery
• Location-based
marketing &
advertising
Insurance
Financial
Services
Retail Telecom eCommerce

The Data Integrity Approach
Modernize your
infrastructure for the
cloud, eliminate data
siloes, and automate
business processes
Build data governance
and quality into your
data-centric processes
to ensure accuracy
and consistency
Leverage the location
information inherent in
your data for more
sophisticated analytics
and actionable insights
Complement your core
business data with
expertly curated datasets
to add critical context and
increase value
Create seamless,
personalized
and omnichannel
communications
on any medium, anytime
Integrat
e
Verify Locate Enrich Engage
42

Example Data Enrichment Processes
Exploring the “Property
Graph”
• What parcels are
associated to any given
address?
• Do buildings span
multiple parcels?
• Do parcels fall within
a building?
Co-Tenant & Adjacent Risk
What other types of
businesses operate:
• At the same address
• Within the same
building
• On the same parcel
• Next door
Common Ownership
• Who owns the property
that contains the
address/building?
• Do they also own more
property nearby?
• Tell me about those
additional properties
Addres
s
Parcel
Buildi
ng
Prop
Atts

Optimize Your
Data Initiatives
with Proven
Expertise
David B Woods | SVP Strategic Services

Our Data Challenge
45
• Acommon goalfor most organizations is toquickly identify andleverage data that delivers
real business value.
• However, statistics show that instead offocusing on solving strategic business objectives,
most organizations arenow drowning in their own data.
Embracing the cloud with a
business value focused, strategic
approach to your data
• Aligning around a business goal orproblem can sometimes seem daunting andchallenging,
but it’s really the easy part.
• Connecting ourdata capabilities tothose goals is what makes it stick andwhat ultimately
allows us toexecute effectively anddeliver organizational value.
• Organizations that ‘swim’ and don’t ‘drown’ develop andfollow a strategic approach to
plan, define, implement, measure andsustain data success.

Strategic Services
46
• Trusted voice andstrategic advisors to our
customers
• Highly credible,“been there, done that”, background
• majority of team has eitherestablishedor heldsignificant leadershiprolesin data
organizations
• Differentiatedfrom traditionalSI’s by targeted,value-based
approach,delivering measurablebenefits using a lean
delivery model
• Engage atanypoint in aprogram/project lifecycle, bringing industry
leading practicepoints of view
• Teach to Fish delivery models leveraging atargetedteam
focused on making ourcustomers self-sufficient

Customer Focus Areas
Data Strategy
Leverage our team of career data
leaders and professionals to define,
implement and optimize your data
program using proven and leading
practices and data solutions
Data Operations
Implement proven approaches to
ensure critical data is prioritized and of
high quality to deliver business results
and enable strategic priorities
- Recognized Data Thought
Leadership
- 100% Referenceable Customer
Success
- Strategy Through Execution
- Business Value Delivery Model
- Proven Industry Knowledge
Organization Enablement
Instill a data-driven culture and
accountability mindset for trusted
decision-making and ensure business
adoption of data-centric mentality
using proven data operating models
Value Realization
Clearly align data initiatives to
business value drivers with meaningful
performance measures that quantify
their value and drive followership and
adoption within the organization.
“Top choice for clients looking for a
well-rounded data solutions with
solid product capabilities and data
strategy consulting services”
The Forrester Wave™
47

Business-first
approach
48
• Linkdataprogrameffortsto specific businessgoals
• Prioritizethe datathatmatters
• Iterativelypressure testmodel againstvalued added
UseCases
• Build andsustainstakeholderengagement acrossall
levels Data programs that prioritize critical
data have 5x faster time-to-value

Core Components Complementing
Technology
49
Data Harmonization toensurethat
data-centricactionsarealwaysbasedonorganizational
valuedrivers,followastructured,repeatableandscalable
governancemodelanddelivervalueaddeddataproducts
Business accountability fordatawith‘fitfor
purpose’operatingmodelsandanenabled
organizationtoprovideastructuredandrepeatable
processforsustaineddataintegrityand valuecreation
Data Integrity Framework thatensuresthe
availability,usability,integrity,andsustainabilityof
yourmostcriticaldatain supportof realbusinessuses
casesandinitiatives
Data Metrics Model thatorganizescritical
datagovernanceand qualitymetricstobetterinform
businessperformanceand dimensionalizesthemfor
properanalysisand action
Successful
Data
Programs

Data Strategy Enables & Accelerates
Programs
50
Time
The scramble
Build & migration
How could that be?
Degradation
We own it
Reliability
Let’s start with data!
Enterprise collaboration
Data Readiness
Traditional
Mobilization
point
Recognition
of Lost ROI
18-24monthstostabilizeandbeginrealizing
businessvalue
Masterdatadegradesatanavg.Rateof2-7%
permonth
Proactively mobilize early!
 25% average reduction in implementation time
 40% reduction in development effort and 50% less design rework for data
VALUE
CREATION
RISK
REDUCTION

Proof Points in Action
51
Large independent recordkeeping services partner,third-party administrator, and
government andhealth savings facilitator.
Engaged todefine andimplement an overarching data strategy andoperationalize the
programin support of several transformational initiatives focused on M&A,Marketing
Optimization, Digital Transformation, and Market Expansion.
Defined andimplemented the data strategy, systems androles supporting their strategies,
including core processes, organizationchanges, andtechnologies.
 DataQuality /Governance Framework
 DataHarmonization /Cleansing
 Operating Models / OrgConstruct
 DataQuality /Governance Applications
 Performance Measurement Model
Successful
Data
Programs

What we hear from our customers
52
“Afterall theseyears,it feels
good to be able tofinally
quantifyour valueand justify
our datainvestments.”
“We alwaysknewthere
wasn’ta technology silver
bullet thatwouldsolve our
problems, but we neverknew
whatwasmissing untilwe
followed your approach”
“I wasskepticalthatyou
wouldbe able toget us there
asquickly asyou professed
butseeing is believing.”
“Theteam alwaysknew the
datachallenges we faceand
valuewe bring, but finally
havingthebusiness
understandis agame
changer.”

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