Watch full webinar here: https://bit.ly/44Da4nP
Data mesh is a hot buzzword, but what is behind it? The concept promises to address some highly relevant problem areas. How are your peers viewing the hype vs. reality? Are the principles of data mesh suitable for solving the challenges many face?
Joined by BARC’s Senior Analyst, Jacqueline Bloemen, an industry thought leader with over 35 years of experience, currently focusing her research on the transformation to become a data-driven enterprise.
Jacqueline will dive into a recent study by BARC on how organizations view data mesh and whether they are leveraging this concept in their data modernization journeys. The survey results will explore the following:
- The relevance a data mesh has in addressing today's data challenges.
- How should a self-service data platform be shaped?
- What role is data governance playing in data modernization projects?
- How far along are your peers, and how do you compare?
After her presentation, Jacqueline will be joined by Kevin Bohan of Denodo for an open discussion on the survey findings. This discussion will include an opportunity for you to ask questions of our speakers.
2. 2
The new BARC Survey: Data Mesh: Game Changer or Just Hot Air?
Survey:
https://barc.com/de/research/data-mesh/
Infographic:
https://barc.com/de/infografik-data-mesh/
3. 3
BARC Survey: Data Mesh: Game Changer or Just Hot Air?
> 300 participants Global survey 2023
Wide coverage of
industries…
…and company
sizes
32%
18%
15%
14%
12%
8%
1%
Manufacturing
Services
Public sector
IT
Banking and finance
Retail / Wholesale / Trade
Other
33%
34%
33%
Less than 500
500 - 4,999
5,000 or more
4. 4 Source: BARC Topical Survey „Data Mesh: Game Changer or Just Hot Air?“, n=322
Why Care About Data Mesh?
A centralized approach to data management poses several risks, i.e. lack of
scalability, limited agility and insufficient business domain expertise.
Do centralized data management teams suffer from a lack
of domain expertise?
Executives Lines of business
Agree Disagree
IT
5. Principles of Data Mesh
5
Decentralize the ownership of
data to business domains
closest to the data
Share data as a product
directly with data users
(data analysts, data
scientists, ...)
Services that empower domains‘
cross-functional teams to access and
share data and remove friction from
source to consumption.
Operating data governance
model based on a federated
decision-making and
accountability structure.
6. Principles of Data Mesh
6
Decentralize the ownership of
data to business domains
closest to the data
Share data as a product
directly with data users
(data analysts, data
scientists, ...)
Services that empower domains‘
cross-functional teams to access and
share data and remove friction from
source to consumption.
Operating data governance
model based on a federated
decision-making and
accountability structure.
7. 7 Source: BARC Topical Survey „Data Mesh: Game Changer or Just Hot Air?“, n=336
Should Business Domains Own Data Products?
50%
To improve the quality and
usefulness of data products in
the future, responsibility should
shift mostly towards domain
and central teams in business,
our respondents find.
Clearly in the hands
of business today
Strong business ownership
today and growing
Clearly IT development today
Who is mostly responsible for the following data products in your company?
8. Principles of Data Mesh
8
Decentralize the ownership of
data to business domains
closest to the data
Share data as a product
directly with data users
(data analysts, data
scientists, ...)
Services that empower domains‘
cross-functional teams to access and
share data and remove friction from
source to consumption.
Operating data governance
model based on a federated
decision-making and
accountability structure.
9. 9
Source: BARC Topical Survey „Data Mesh: Game Changer or Just Hot Air?“, n=290/322 Q: Which of these measures are relevant to improve the quality of its data &
analytics-assets?
How To Improve the Quality of Data Products?
90%
of participants find
that applying a
product mindset
to data assets
improves their quality.
95%
of participants find
that serving source
data as data ready
for consumption
improves their quality.
18% of participants are getting this
done (36% of best-in-class companies)
29% of participants are getting this
done (35% of best-in-class companies)
10. Principles of Data Mesh
10
Decentralize the ownership of
data to business domains
closest to the data
Share data as a product
directly with data users
(data analysts, data
scientists, ...)
Services that empower domains‘
cross-functional teams to access and
share data and remove friction from
source to consumption.
Operating data governance
model based on a federated
decision-making and
accountability structure.
11. 11 Source: BARC Topical Survey „Data Mesh: Game Changer or Just Hot Air?“ (n=322-324)
How Should a Self-Service Data Platform be Shaped?
92% agree that business
users require a higher level
of data & analytics
empowerment
Which core functional areas should a self-service D&A platform for
business users cover?
12. 12 Source: BARC Topical Survey „Data Mesh: Game Changer or Just Hot Air?“(n=328)
The technical implementation does vary
How should data & analytics platforms be allocated for the business domains?
Combination of central and additional
platforms
One central platform
Indiv. platforms per business domain
13. Principles of Data Mesh
13
Decentralize the ownership of
data to business domains
closest to the data
Share data as a product
directly with data users
(data analysts, data
scientists, ...)
Services that empower domains‘
cross-functional teams to access and
share data and remove friction from
source to consumption.
Operating data governance
model based on a federated
decision-making and
accountability structure.
14. 14 Source: BARC Topical Survey „Data Mesh: Game Changer or Just Hot Air?“, n=266 / 273
Federated Data Governance on the Rise
Has your organizational data governance
approach generated benefits?
Do you see the need for a shift in your
company´s organizational data governance
approach in the future?
48%
32%
20%
How many have
this approach? All want to shift, more in the direction
of a federated approach
15. 15
Data Mesh is a highly relevant concept that delivers benefits …
How relevant is data mesh for your company?
(n=293)
Measurable benefits achieved with: investments in D&A asset quality (n=160), data governance approach (n=241)
by data mesh relevance
85%
Benefits of investments in data &
analytics assets are measurable
16. 16
… but requires technology that supports federated solution approaches
84% agree that an increasingly distributed data & application
landscape requires a more distributed approach to data & analytics.
Data Fabric
How relevant is data intelligence for your company? (n=313)
Data Intelligence
96%
17. 17
For more details, download the full report
Survey:
https://barc.com/de/research/data-mesh/
Infographic:
https://barc.com/de/infografik-data-mesh/
18. Spark your Data Mesh and Data Culture with BARC
Listen to
data leaders‘ stories
Exchange with
other data leaders
www.open.spotify.com/show/2
qYSblTkij45Y7LJVE6yAP
BARC Leaders‘ Circle
www.barc.com/de/produkt/barc-circle/
https://barc.com/de/events/data-
mesh-fabric/