AIIM FL Chapter webinar featuring Eugene Rudenko, NIX United The amount of data businesses generate and use in their operational activities grows exponentially every year. Ideally, all the data should be stored, organized, and processed at a reasonable cost. Therefore, enterprise data management (EDM) is not a buzzword but a necessary component of modern business operations that want to transform data into an efficient tool and have an advantage over competitors. Competent data management is all about establishing a process that extracts the value from data, mitigates risk, and contributes to data-driven decisions. In addition, the well-established EDM is secured and increases the quality, integrity, and trustworthiness of the data used for business operations and reporting. Suppose you have heard about data management but always wanted to understand what it is in a nutshell, its benefits, and most importantly, how to organize this process in your company or level up the existing data management process in your business. In that case, this slide deck is worth reviewing. You will see the full potential of data management solutions, get meaningful advice from a seasoned expert about accelerating a business's digital transformation and frictionless building of EDM for your company proven with case studies. You will learn about: • What data management is and why this process is a must-have for enterprises in 2022 • How to assess the maturity level of data management and digital transformation in your organization • Advice on how to determine between ready-made products of custom solutions • Advantages and disadvantages in comparison of cloud vs. on-premise vs. hybrid solutions • Data management advantages by the example of our use case AWS-based BI Platform for Data Visualization and Marketing Insights • Necessary conditions to ensure secure data storage and data compliance standards • The importance of high security for workspace and inner channels of communication

1. Enterprise Data Management:
Managing your Business’s Entire
Data Lifeсycle
By Eugene Rudenko, AI Solutions Consultant

2. Eugene Rudenko
AI Solutions Consultant with more than
10 years of experience in business
consulting for the software
development industry.
Eugene always follows tech trends and applies the most efficient ones in
the software production process. Finding himself in the Data Science
world, he realized that this is exactly where cutting-edge AI solutions are
being adopted and optimized for business issues. In his work, he mostly
focuses on the process of business automation and software products
development, business analysis, and consulting.
2
About Speaker
“

3. 3
NIX United is a global software engineering company
with a head office in St. Petersburg, Florida.
About NIX United

4. 4
2500+
Professionals
internationally
Our company has a comprehensive expertise across
multiple business and technology verticals.
About our key R&D center
3000+
Сompleted projects
Since 1994, we have our key R&D partner in Kharkiv, Ukraine.
Together we empowered tech companies, SaaS providers,
and multinational enterprises with top-of-the-line solutions
that extend their capabilities and contribute to paving their
way in industry leadership.

5. 5
Our recent developments
BCP plan is on the final stage
Support of the employees
New office in Budapest

6. 6
Presentation overview
Importance of following the data management principles
Data Governance vs Data Management
Data value over quality
Defining the right data to utilize
Better way of approaching digital transformation
Making your “build or buy” decision
On-premise vs Cloud vs Hybrid
Competitive advantage through data analytics & AI

7. 7
Why data management is important
Visibility Reliability
Security Scalability

8. 8
Data Governance vs Data Management
Three key principles characterizing data governance:
Data is a valuable
asset of a company
Separate vertical
function of business
Detached department
From Data Quality to Data Value:
Relevance
Relevance Coverage
Coverage Structure
Structure Accuracy
Accuracy

9. 9
Principles of picking the business area to optimize:
Neighboring business processes
Cooperating departments
Partnership areas
Defining the right data to utilize
Modern business generates too much data today.
20% of data normally covers 80% of business.
Focusing on the right processes and prioritizing data
processing activities.

10. 10
A better way of approaching digital transformation
Traditional approach:
C-level
C-level Middle management
Middle management Employees
Employees
Initiative based approach:
Customer
Customer Employee
Employee C-level
C-level

11. 11
* applicable to US business
Data management statistics
only
25%
Companies feel
satisfied
only
44%
Companies have
in-house IT staff
$600B
Cost of data storage
problems
$3T
Cost of data quality
problems

12. 12
Things to consider making “build or buy” decision
Convert business goals into priorities
Time-to-market
Team availability (consider recruiting timeline)
Budget
Licensing limitations
Functional limitations
Security considerations

13. 13
Cloud vs On-premise vs Hybrid
Hybrid solution as a possible middle ground
Comparison:
Deployment
Deployment Cost
Cost Control
Control Security
Security
Private Public

14. 14
Case Study - AWS-based BI platform for data analysis
Client: supermarket chain
that sells groceries and
homegoods
Issue: low marketing ROI,
lack of data for informed
decisions, limited resources
Solution: data pipeline
using Amazon services, BI
dashboards with visualization
of the insights

15. 15
Case Study - AWS-based BI platform for data analysis

16. 16
Data security in Cloud environment
Data security standards help to
fight the data leak threats:
Common security measures
taken by cloud providers:
Health: HIPAA
Credit Card payments: PCI DSS
Australia: APRA Prudential Practice Guidelines
European Union: GDPR
SaaS: Service and Organization Audits (SOC 2)
Protection through Firewall
Data encryption
Anti-virus software
User access control
Physical access control

17. 17
Communication hygiene
Email
Phone
Messengers
Data security at a workspace
Physical security measures
Protection software
Training of employees

18. 18
Case Study - Monitoring Bot for Internal Security
Client: software company with thousands of
employees using diverse communication channels
Issue: potential security breach through social
engineering
Solution: messenger bot integrated into the
company DB to run security control
Outcome
The client received the bot that helps automate their corporate monitoring system and indispensably
enhance security. This monitoring bot is an excellent solution for an extensive system with many
people in the chats and channels where it is physically impossible for a human to track all of them.

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Three-layered approach:
Personal notes on business optimization:
Competitive advantage through data analytics & AI
Data layer
Analytics and development layer
Solution delivery layer
Self-serve data processing
Real-time analytics
Post-COVID adjustment: being client-centric means being
data-centric

20. 20
Case Study - Enhancing of RPA Software &
infrastructure through AI solutions
Client: software giant producing a leading RPA
platform
Issue: lack of expertise and manpower to fulfil
business goals on the product optimization
Solution: Migration to the cloud, CI/CD pipelines
Innovative products implementation
Outcome
Automation platform with smart
analytics
Intelligent document processing
tool with OCR and ML algorithms
Computer vision based system
for user's flow capturing
Digital assistant that extracts
data from communication
sources

21. Q&A
21

22. 22
360 Central Ave. Suite
1120 St. Petersburg, FL
33701 USA
www.nix-united.com
+ 1 (727) 256 - 3558
ask@nix-united.com
evgeniy@nix-united.com
Thanks for your attention!
evgeniyrudenko