SaaS data loss is real, varied and common place

0:00

Let's move on to our third hypothesis and theme here.

0:12

I did the pleasure of presenting a session at Salesforce's huge Dreamforce

0:17

event in September

0:19

of last year in San Francisco.

0:22

I presented with an existing customer of one companies and there was an audible

0:27

gasp from

0:27

the room when the Salesforce admin from this organization said that yes they

0:33

had lost 600,000

0:35

records from their Salesforce CRM due to an accidental error, 600,000.

0:42

The reason I mention that is because our third hypothesis was around this is

0:46

that it's a

0:46

state loss real.

0:47

It's all very well for people like me to talk about it but does it happen?

0:52

How common places it?

0:54

Well actually how varied is it because there's a sense that some of you can

0:57

think about data

0:58

losses.

0:59

Here we've lost everything but actually it varies and we wanted to understand

1:03

the extent

1:03

which it varies from large scale losses through to smaller issues involving

1:08

fewer records.

1:09

I've got a couple of slides that I'm going to share with you that talk to this.

1:12

The first one is we explored the common types of data loss and we offered the

1:19

respondents

1:20

various different options and we invited them to comment on each one.

1:25

The headline figures are on the right of the chart there where 26% of the

1:31

sample said that

1:32

they had suffered in the previous 12 months weekly delays or failures in data

1:37

synchronization.

1:38

29% said on at least a monthly basis in the previous time period they had

1:43

suffered errors

1:44

or inaccuracies in customer records.

1:47

29% occasionally saying delays or failures in data synchronization.

1:52

So is data loss real?

1:54

Well the evidence from this sample of over 500 people with responsibility for

1:59

SAS data

2:00

protection and backup recovery says yes.

2:03

Data loss absolutely is real, is prevalent and it's commonplace.

2:07

Let me take this another level forward because let's talk about the severity

2:11

and the impact

2:12

of those data losses and corruptions.

2:15

Now we asked this further question about severity and on average the leaders

2:20

using these four

2:21

SAS applications I already mentioned said that data instance did have a

2:26

moderate impact

2:27

on their organization.

2:28

Now what might those impacts be?

2:31

Well sometimes it interrupts their ability to deliver service to customers.

2:37

Sometimes it's the inability to serve future customers and manage sales

2:42

opportunities.

2:44

Sometimes it's about data management and financial reporting and so forth.

2:48

So all sorts of consequences associated with SAS data loss.

2:53

Again Andrea let me throw the microphone across to you some comments and

2:56

observations here

2:57

please.

2:58

Yeah I mean one thing I definitely would like to add here is the relevance of

3:03

ransomware

3:04

attacks right.

3:05

So unfortunately these kind of attacks are not uncommon especially these days

3:10

and you

3:10

know given the current geopolitical tension we noticed that and we're reading

3:16

on the news

3:17

that these are kind of attacks happens almost on a daily basis on large

3:22

organizations right.

3:25

And I mean from a damaged perspective apart from the pure economic aspect of it

3:30

there

3:30

is a huge brand impact and erosion of customer trust right.

3:38

So if a company is unable to protect its daytime prevent ransomware attacks of

3:43

course customers

3:44

make question its ability to safeguard their personal information and this can

3:50

definitely

3:50

lead to a damaged reputation that can take very long time to recover.

3:56

And for organizations that have a lot of intellectual property on their SAS

4:00

solutions of course

4:02

there is another aspect to consider.

4:05

So there is a whole intellectual poverty trade secret or proprietary

4:09

information you know

4:09

when it's lost you can have a very long term negative effect on the company's

4:13

competitive

4:14

advantage and innovation.

4:15

So again it's definitely there is a pure operational aspect and business

4:20

continuity

4:21

aspect to consider but you know the long term impact of a brand damage or loss

4:30

of customer

4:30

trust that is that takes very long time to recover.

4:34

So I would definitely focus on that part as well.

4:36

Yeah I don't know that makes sense.

4:38

I mentioned earlier the great pleasure I take in being able to talk to our

4:42

customers and

4:43

potential customers on a frequent basis.

4:47

And one of the conversations the recurring conversations I have there is when

4:50

we talk

4:51

about the causes of data loss and corruptions.

4:54

And some things you can seek to mitigate isn't it.

4:58

You can work hard and you put places measures in place such that you may think

5:02

you're going

5:03

to be immune from a cyber attack you know ransomware attack or such like.

5:07

You know there's maybe other factors that you can put in place that would

5:10

really minimize

5:11

the chances of any integration errors being a catalyst to a data loss or

5:17

corruption event.

5:18

But the number one reason there's an adriages highlighted is human error.

5:22

It's accidental error and it's impossible to mitigate against that and that I

5:26

think is

5:27

another added reason why it's important that we prepare for the worst and say

5:32

actually

5:33

if there is a possibility of me losing access to some or all of my data I need

5:39

to have a

5:40

protection system in place such that I can restore and recover it in the event

5:45

of such

5:45

a situation.

5:47

[ Sound Effects ]

5:51

[ Silence ]