Democratizing data provides businesses direct access to data platforms through self-service tools, reducing the time to fulfill business requests by 45-50%. A traditional approach involved businesses requesting data from IT teams, who would then modify raw data into business-readable formats. With democratization, a data science platform provides ingestion, storage, computing and visualization tools for business users. While this increases access and speeds decisions, security and proper data interpretation remain concerns.

1. “Democratising data-driven decisions with
self-service tools”
Absorb complexity, transmit clarity
Yojas Samarth, SME for data visualization tools in the platform | Tech trainer

2. Why are we talking about data
democratisation?
Businesses request data
IT team modifies raw
Data into business
readable data
Traditional approach :
Businesses Unit : Marketing
BA/executive

3. What is data democratization?
Direct access to the data
platform
Big data Platform
Business insights to gain
competitive advantage

4. Business Case
•Data mapping + Discovery (1 month)
•Data Transformation (1 month)
•Dashboard Development (3 weeks)
•SIT/UAT/PROD (3 hours effort, 3 weeks lead time)
•Access Request (6 hours effort, 1 month max lead time)
Tech team
•Data mapping + Discovery (2 weeks)
•Data Transformation (1 month)
•Dashboard Development (1mont)
•SIT/UAT/PROD (NA)
•Access Request (Instance)
Operations team
with data platform
access
Time saved to meet business
request : 45-50 %

6. Framework to adopt
data driven culture
01
Ask
Define problem Feasibility
analysis
02
Acquire
Understand
data
Design
solution
Acquire
data
03
Analyse
Data
processing
Create
features &
build model
04
Act
Deploymentinto
endpoint
Performance
monitoring
Business value
realised
Feedback
05
Outcome

7. Data Science
Compute
Data
Inge
stion Data Engine
Data
Consumption
Data governance & security
Workflow &
Ops
Data Store
Data platform

8. Data platform
Microservices
S
e
l
f
s
e
r
v
i
c
e
Centre of excellence
Education system
Data Consumers

9. Tech innovation that propels data democratization
1. Data visualization s/w
2. Data federation s/w
3. Cloud storage
4. Self service BI applications
5. E-learning/workshops

10. What has changed by democratizing data ?
Data discovery provides broader view of the metadata & avoid silos
Cultural Change & tools adoption rate have lead to faster
data access
Self Service Platform : To get access of all the
tools on the go.

11. What are the concerns with democratizing data?
The more users have data access the
bigger the security risk & more challenges
to maintain the data integrity
Misinterpretation of the data by non-technical
employees can make bad decisions for the
business

12. Key Takeaway !
CULTURE SELF SERVICE CENTRE OF EXCELLENCE
/ EDUCATION SYSTEM

13.  Yojas Samarth
 E-mail: yojassamarth@gmail.com
 LinkedIn : https://www.linkedin.com/in/yojassamarth/
Contact Information :