42%
Moving data without disrupting
users and applications
Growing too fast and
getting too expensive to
store/back up
30%
Lack visibility into what we
have and what we can
move/migrate/tier
30%
Legal constraints require
different treatment for different
types of data
30%
Not aligned well and/or
collaborating enough with
other stakeholders/departments
27%
No easy way for users to
apply cloud analytics, AI
and ML technologies
25%
Unable to leverage cloud data
services because we’re locked
into our current vendor
21%
No plan in place to monetise/
get more value from data
17%
It’s not a big challenge
for us today
13%
42%
Moving data without disrupting
users and applications
30%
Growing too fast and getting too
expensive to store/back up
30%
Lack visibility into what we have and
what we can move/migrate/tier
30%
Legal constraints require different
treatment for different types of data
Not aligned well and/or
collaborating enough with other
stakeholders/departments
27%
No easy way for users to apply cloud
analytics, AI and ML technologies
25%
Unable to leverage cloud data
services because we’re locked
into our current vendor
21%
No plan in place to monetise/
get more value from data
17%
It’s not a big challenge for us today
13%
42%
Moving data without disrupting users and applications
30%
Growing too fast and getting too expensive to store/back up
30%
Lack visibility into what we have and what we can move/migrate/tier
30%
Legal constraints require different treatment for different types of data
Not aligned well and/or collaborating enough with
other stakeholders/departments
27%
25%
No easy way for users to apply cloud analytics, AI and ML technologies
Unable to leverage cloud data services because we’re
locked into our current vendor
21%
17%
No plan in place to monetise/get more value from data
It’s not a big challenge for us today
13%
42%
Moving data without disrupting users and applications
30%
Growing too fast and getting too expensive to store/back up
30%
Lack visibility into what we have and what we can move/migrate/tier
30%
Legal constraints require different treatment for different types of data
27%
Not aligned well and/or collaborating enough with other stakeholders/departments
25%
No easy way for users to apply cloud analytics, AI and ML technologies
21%
Unable to leverage cloud data services because we’re locked into our current vendor
17%
No plan in place to monetise/get more value from data
It’s not a big challenge for us today
13%
Komprise, 2022