Rethinking Data Availability and Governance in a Mobile World

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The Briefing Room
Rethinking Data Availability and Governance in a Mobile World

Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh

  Reveal the essential characteristics of enterprise
software, good and bad
  Provide a forum for detailed analysis of today s innovative
technologies
  Give vendors a chance to explain their product to savvy
analysts
  Allow audience members to pose serious questions... and
get answers!
Mission

Topics
June: INNOVATORS
July: SQL INNOVATION
August: REAL-TIME DATA

Resistance is Futile
Ø  Workers are
mobile
Ø  BYOD is here to
stay
Ø  End point
security matters

Analyst: Malcolm Chisholm
Malcolm Chisholm has over 25 years
experience in data management, and has
worked in a variety of sectors, with a
concentration on finance. He is an
independent consultant specializing in data
governance, master/reference data
management, metadata engineering, and the
organization of Enterprise Information
Management. Malcolm has authored the
books: Managing Reference Data in
Enterprise Databases; How to Build a
Business Rules Engine; and Definitions in
Information Management. He was awarded
the DAMA International Professional
Achievement Award for contributions to
Master Data Management. He holds an M.A.
from the University of Oxford and a Ph.D.
from the University of Bristol.

Druva
Druva offers converged data protection, which includes
backup, availability and data governance to the mobile
workforce
  Its products include inSync for mobile devices and Phoenix
for remote offices
Druva leverages its Elastic Cloud Platform to deliver a
scalable and secure service to archive, discover and serve
information

Guest: Dave Packer
Dave has more than 20 years of experience
influencing products in the enterprise technology
space, primarily focused on information
management and governance. As a member of
the Druva team, Dave leads Product Marketing,
which serves an integral role leading product
definition and direction. Prior to joining Druva,
Dave has held executive positions at Autonomy
Corp., Interwoven Inc., and Silicon Graphics. He
was also instrumental in the product and market
definition of the first widely deployed mobile
device, Tablet PC, while at Uppercase, Inc.,
(acquired by Microsoft in 2000).

RETHINKING DATA AVAILABILITY AND
GOVERNANCE IN A MOBILE WORLD
June 2015

11
“Druva has been a
phenomenal answer
to Dell for protecting
our data”
ABOUT DRUVA
Company
•  Fastest growing data protection company
•  Headquartered in Silicon Valley
•  Backed by Sequoia and EMC
Ranked #1 by two years running
Brad Hammack
IT Emerging Technologies

12
TRUSTED BY 3,000+ GLOBAL ENTERPRISES

13
YOUR ENTERPRISE IS CHANGING
2x
Growth of corporate data
every 14 months
(Source: Gartner)
2000 2015
Data Center 85%
Endpoints 7%
Remote Sites 8%
Data Center 56%
Endpoints 28%
Remote Sites 10%
Cloud 6%

14
CONFIDENCE & CONTROL
NO LONGER EXIST
•  High risk of permanent data loss
•  Business continuity & end user productivity impact
•  Lost visibility for compliance & legal requirements
8%
Enterprise devices
lost per year
26%
Litigation includes data
from mobile devices
60%
Enterprises’ will have half
of their infrastructure in
the cloud by 2018

15
DRUVA: DATA CENTER CLASS AVAILABILITY &
GOVERNANCE FOR THE MOBILE WORKFORCE
User
Produc+vity
Corporate
Control

LEVERAGING THE POWER OFAWS
ITAR
FIPS 140-2 MPAA ISO 27001
SOC 1,2,3 ISAE 3402
PCI DSS
HIPAA
FISMA Moderate
Security & ComplianceGlobal Reach
Selectable Storage Regions
Certified cloud operations

17
THE DRUVA DIFFERENCE
•  Natively built on cloud technologies
99.999% data durability with
guaranteed availability and access
•  Patented deduplication engine
80% bandwidth and storage reduction
•  Single data store for multiple
enterprise workloads
100% elastic, proven scalability
beyond a million+ devices
•  Advanced cloud security & privacy
Multi-layer security model, with zero
vendor data access
Data
Governance
Data
Availability
Druva
Elastic Cloud
File Classification
& Analytics Auditing
eDiscovery
Integration
Data Backup
& Collection
Data
Recovery
Data Loss
Prevention
Data
Archival
File
Sharing
Data
Access
Global
Deduplication
Engine
Single
Instance
Storage
Time-
Indexed
Metadata
S3/Glacier
(Storage)
DynamoDB
(Database)
EC2
(Compute)
Security&PrivacyFramework
Device
Refresh

18
CONVERGED DATA PROTECTION FOR
THE MOBILE WORKFORCE
for
Endpoints
for
Remote Office Servers

19
ADDRESSING NEEDS OF THE
GLOBAL ENTERPRISE
Endpoint Backup
A non-intrusive solution
to ensure mobile data is
protected from loss
Endpoint Lifecycle
Manage ongoing device
refreshes, enforcement of
BYOD policies and
protection of data on
endpoints
Enterprise Mobility
Centralized IT control
over file-sharing that is
secure and policy
managed
eDiscovery
Enablement
Collect and preserve data
for eDiscovery with less
time consuming and
inexpensive processes

20
KEY REQUIREMENTS OF
MOBILE DATA GOVERNANCE
Time-indexed
Data Collection
Geo-location
and fencing
Federated
Search
Long-term
retention
eDiscovery
Enablement
Legal Hold
Data

Segrega+on

Audit trails &
activity streams

21
DRUVA DATA GOVERNANCE TODAY
•  Legal hold policy and management
o  Provides data collection, hold management console
o  Preserves data ‘in place’, no additional storage
o  Direct connect for eDiscovery platforms
•  Compliance / Regulation support
o  Tamper proof & extensive audit trails
o  Regional data privacy policy configuration
o  HIPAA compliant (KPMG audited)
o  ISAE-3000 certified

22
LEARN MORE
•  Experience Druva – Free Trial
o  druva.com/trial
•  Read Analyst Reports, White Papers, Case Studies & more
o  druva.com/resources
•  Learn about data availability & governance – Blog
o  druva.com/blog

The Leader in Converged
Data Protection
druva.com

Perceptions & Questions
Analyst:
Malcolm Chisholm

Framing
the
Challenge
of
End
User
Compu+ng
Data

Governance

June
9,
2015

Presented
by
Malcolm
Chisholm

mchisholm@askget.com

©
AskGet.com
Inc
2015

The
Challenge
of
Data
Governance

Data
Stewardship
Data
Policies

Data
Security

Legal,
Privacy
&

Compliance

Informa+on

Knowledge
Mgmt.

Data
Architecture
&

Modeling

Data
Life
Cycle

Change
Management

Data
Content

Management

Primary
Accountable
is
IT
Primary
Accountable
is

Opera+ons

Other
Primary
Accountable

Primary
Accountable
is
Data
Governance

•  Data
Governance
is
a
set
of
disciplines,
each
with
its
own
special
set
of
concerns
and
techniques

•  Some
of
these
disciplines
are
“pure”
Data
Governance;
others
involve
working
with
some
part
of
the

business
that
has
primary
responsibility
for
the
discipline

•  The
Data
Governance
disciplines
are
each
diﬀerent
and
fairly
self-‐contained

•  To
do
Data
Governance
well
we
need
to
master
all
of
the
disciplines
relevant
to
our
enterprise

•  Some
of
these
disciplines
are
emerging,
and
that
makes
them
diﬃcult

©
AskGet.com
Inc
2015

The
Endpoint
Data
Challenge

•  Because
of
its
close
rela+onships
with
IT
and
Opera+ons,
Data
Governance
tends
to
focus
on
corporate

systems.

•  However,
many
enterprises
have
segments
of
their
workforce
that
are
mobile
and/or
dispersed
from

central
offices.

These
staff
are
crea+ng
data
at
their
endpoints
that
is
not
captured
in
corporate
systems.

•  Even
staff
in
corporate
centers
are
doing
work
on
their
PC’s
that
is
not
captured
by
corporate
systems.

•  Leaving
aside
discussion
of
Cloud
for
now,
which
has
added
even
more
complexity.

IT
Opera+ons

Data

Governance

Corporate
Systems

Mobile,
Dispersed,
Self-‐enabling

Segments
of
Workforce

?

©
AskGet.com
Inc
2015

End-‐User
Compu+ng

•  Endpoints
are
where
data
is
at,
but
what
is
going
on
at
the
endpoints?

•  Answer:
End-‐User
Compu+ng
(EUC)

•  Much
–
but
far
from
all
–
the
types
of
data
management
that
we
see
in
corporate
systems
are
going
on
in

EUC

•  It
is
very
rare
to
ﬁnd
any
staﬀ
who
have
received
training
on
EUC
Data
Governance
(“EUC
Governance”),

and
this
is
not
a
tradi+onal
area
of
focus
of
Data
Governance.

•  Hence,
the
quality
of
data
management
is
unknown,
but
can
be
guessed
to
be
at
low
maturity
–
which
is

risky.

Data
Acquisi+on

File
Transfer

Analysis

Communica+on

Repor+ng

Reports

Models

Files

Contracts

Publica+ons

…

©
AskGet.com
Inc
2015

Why
Is
EUC
Governance
Needed?

•  Employees
go
away
–
some+mes
suddenly.

•  What
happens
to
the
data
they
have
been

working
with?

GAME
OVER
Termina+on

New
Job

Other

Reasons

Stolen

Destroyed

Lost

•  Endpoint
devices
go
away
–
some+mes

suddenly.

•  What
data
has
gone
missing,
what
are
the

consequences,
and
can
the
data
be
recovered?

•  There
are
some
obvious
reasons
why
EUC
governance
is
needed

•  Here
are
a
couple
–
there
are
a
lot
more

©
AskGet.com
Inc
2015

The
Challenge
of
EUC
Governance:
1
–
No
Close
Partner

•  We
saw
before
that
for
some
Data
Governance
disciplines
there
are
natural
partners.

•  IT
is
a
partner
with
EUC
Governance,
but
has
a
rela+vely
narrow
focus,
and
may
not
understand
the
Data

Governance
aspects

•  Legal
and
HR
could
be
other
partners

•  The
end
users
themselves
can
be
resistant
to
Data
Governance,
but
ul+mately
need
to
be
enrolled

•  CONCLUSION:
Data
Governance
must
lead
in
this
area

G AM E
OV ER
Termination
New
Job
Other

Reasons
Stolen
Destroyed
Lost
Data
Stewardship Data
Policies
Data
Security
Legal,
Privacy
&

Compliance
Information

Knowledge
Mgmt.
Data
Architecture
&

Modeling
Data
Life
Cycle
Change
Management
Data
Content

Management
Primary
Accountable
is
IT Primary
Accountable
is

Operations
Other
Primary
Accountable

Primary
Accountable
is
Data
Governance
©
AskGet.com
Inc
2015

Data
Stewardship Data
Policies
Data
Security
Legal,
Privacy
&

Compliance
Information

Knowledge
Mgmt.
Data
Architecture
&

Modeling
Data
Life
Cycle
Change
Management
Data
Content

Management
Primary
Accountable
is
IT Primary
Accountable
is

Operations
Other
Primary
Accountable

Primary
Accountable
is
Data
Governance
The
Challenge
of
EUC
Governance:
2
–
Complexity

•  EUC
Governance
is
composed
of
many
(but
not
all)
of
the
disciplines
of
Data
Governance

•  EUC
Governance
may
have
some
special
characteris+cs
that
also
make
it
its
own
discipline

•  It
is
up
to
Data
Governance
to
ﬁgure
this
out,
and
come
up
with
conceptual
frameworks
for
EUC

Governance

•  CONCLUSION:
Data
Governance
must
lead
in
this
area

G AM E
OV ER
Termination
New
Job
Other

Reasons
Stolen
Destroyed
Lost
*
* * *
*
*
©
AskGet.com
Inc
2015

1.You have shown us a number of capabilities that Druva has. I understand that IT is a natural
partner for meeting the data backup and recovery use cases. However, who is the natural partner
in the enterprise for the Data Governance use cases you have described? Data Governance units
are often highly aligned to supporting IT and Operations, rather than the mobile dispersed
workforce. Given this, will Data Governance be ready to drive adoption of Druva? Does Data
Governance need to be more mature to deal with what Druva offers?
2.You demonstrated the Data Availability layer in your architecture. A big problem for enterprises
today is uncontrolled use of personal file sharing capabilities, like Dropbox. In your file sharing
capability, can you control who is sharing what within the enterprise? Sometimes, one
organizational unit must not be allowed to see what another is doing.
3.This is a follow up to the previous question. How should Data Governance go about figuring out
what the rules are for permitted file sharing? This would not only include who can see what files,
but what they are allowed to do with them (e.g., use the data to derive further data).
4.The environment you provide is essentially another production environment. Do you have
recommendations about how to prevent it being used in manner that drives chaos? For instance,
who can do eDiscovery, under what circumstances, and what do they do with the results? Who
decides if a legal hold can be placed, what it covers, and when it can be released? In the past
great technological advances (like ETL) have actually enabled poor data management practices
that have indeed driven chaos.

5.The environment that Druva creates seems like a natural point of ingestion for Big Data
projects. Do you see the data in the Druva environment being used in this way, and do you know
anything of the use cases involved?
6.Closely related to the previous question, some segments of the work force are dealing with
customers. Could I use the Druva environment to pull in data for analysis to ultimately update a
Customer MDM hub, both for Customer static information and Customer propensity information?
7.You have file classification and auditing. Can this be extended to profiling? Suppose I need to
find unprotected Social Security Numbers in the endpoints? Or can I find copies of contracts or
other legal agreements (like NDA’s) that are on people’s endpoints?
8.Suppose that Data Governance finds in the Druva environment that Person X has sensitive data
on their PC that should not be there. Other than Excel and email, how can Data Governance alert
Person X, and track their actions to purge the sensitive data?
9.What are the latencies involved? Suppose Person Y loads an unencrypted copy of a hospital’s
patient list onto their PC, and they are not really supposed to do this. How long would it be
before I could reasonably detect this in the Druva environment? Would I have to have thought of
this use case in advance, or would something alert me?

Upcoming Topics
www.insideanalysis.com
June: INNOVATORS
July: SQL INNOVATION
August: REAL-TIME DATA

THANK YOU
for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons and http://en.memory-
alpha.wikia.com/wiki/File:Borg_2366.jpg

Rethinking Data Availability and Governance in a Mobile World

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