This document summarizes a webinar on building trust in data. It provides information on the webinar format including audio streaming through computers and submitting questions. It also notes that the recording and slides will be shared after. Short polls show that the top data integrity priorities are integrating data from multiple sources and improving data quality. The document then discusses challenges in data integrity like integrating legacy systems and data from various sources. It outlines trends in machine learning, data democratization, and cloud deployments. Finally, it introduces Precisely as a company that provides data integrity software and products to ensure accuracy, consistency and context for business decisions.

1. Your Data Needs Help.
How to Build Trust in Your Data
Panel Discussion

2. Housekeeping
Webinar Audio
• Today’s webcast audio is streamed through your
computer speakers
• If you need technical assistance with the web interface
or audio, please reach out to us using the Q&A box
Questions Welcome
• Submit your questions at any time during the
presentation using the Q&A box. If we don't get to your
question, we will follow-up via email
Recording and slides
• This webinar is being recorded. You will receive an email
following the webinar with a link to the recording and
slides

3. 84% of CEOs are
concerned about the
quality of the data they’re
basing their decisions on.
Source: Forbes Insights & KPMG

4. Data
integrity
redefined
Data with maximum
accuracy, consistency, and
context for confident business
decision-making

5. Challenges in Achieving
Data Integrity

6. What
challenges do
organizations
face with data
integrity?
Integrating
siloed data
from legacy
systems to the
cloud
Profiling,
understanding
and cleansing
data from
multiple sources
Managing the
proliferation of
location data
Augmenting
internal data
with third-party
datasets

7. Results from polling/registration
138
121
46
39
25
What is your top data
integrity priority?
Responses
Integrating data from multiple sources
Improving data quality
Seeing relationships and patterns in data
Adding location insights to data
Enriching data with location or demographics

8. What best practices
are businesses
implementing to
ensure the data has
accuracy, consistency,
and context?

9. Trends in Data Integrity

10. Data
Monetization
Machine
Learning
Algorithms &
Context Graph
Data
Democratization
Streaming
Data through
Kafka
Cloud-native
Deployments
Dynamic
Demographics

11. How Precisely
Can Help

12. The global leader in data integrity
Trust your data. Build your possibilities.
Our data integrity software and data enrichment products
deliver accuracy and consistency to power confident
business decisions.
Brands you trust, trust us
Data leaders partner with us
of the Fortune 100
90
Customers in more than
100
2,000
employees
customers
12,000
countries

13. 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
The Precisely Data Integrity Suite

14. Thank you!