Why to Govern: Part 1 | Power BI Adoption Framework


– [Paul] Hello, and welcome
to this video series on the Power BI Adoption Framework, which is about empowering
every decision maker. I’m Paul. – [Manu] And I’m Manu. – [Paul] And in this
video, we will talk about why we believe governance
is important for Power BI and self-service BI. Today, almost everyone in
every organization engages with software applications,
and yet, only about a quarter of the employees have access to analytics. During the first two waves
of business intelligence, IT professionals and business analysts were the keepers of BI. They made it accessible and
consumable for end users. While this approach
still applies to complex business intelligence needs,
today, there is a new wave. This third wave of BI makes
it available to every user. Microsoft’s mission is
to democratize analytics. So, the intent is that every
person in every organization should have access to data. It’s definitely something
that can be achieved in today’s world. Although, there are a few
challenges that we need to overcome in order to do that. The most common challenges
with BI are that it can be difficult for senior
leaders and business users to see a complete picture of the business. Managing multiple data sources
can also be a challenge, especially with data residing in line- of-business applications, SaaS solutions, and other external locations. And the key challenge is to
make the right data available to the right users at the right time. Mobile business users need
the latest operational data at their fingertips no
matter where they are or what device they’re using. Different roles have different
needs and access levels. So, a one-size-fits-all
solution doesn’t work. – [Manu] A lot of customers
tell us that they’ve tried self-service BI with other tools before, but they’ve ended up in
a situation like this. Admittedly, this is
something that can happen with any tool in the absence
of a strategic vision and a governance strategy. On the other hand, a
minimal governance plan that provides guidance to the
employees can go a long way in enabling self-service
BI in a structured way. The idea is not to create
rules or boundaries but to provide guidance
on how self-service BI should be used in the organization. As the Spider-Man quote
goes, “With great power, “comes great responsibility.” So rather than taking the power away, helping people understand
how the power can be used responsibly can lay the
foundation of a data culture in the organization. If the organization has
experienced uncontrolled proliferation of unsupported
BI applications in the past, then there may be a realization
that your chances of success with self-service BI can
be increased massively by being a little bit mindful about it. This can be done by
developing a governance plan that implements processes
for data security, governance, auditing,
and data classification, and once you have a governance strategy, it can help drive infrastructure
and technology decisions, reduce risks, and lead to
increased user adoption since both business and IT
are involved from the start. The key thing with data governance is that if you don’t make decisions up front, someone else will make
those decisions later, and that may not be the best
decision for your organization. So, here are some examples of decisions that employees end up making
if guidance or procedures are not in place. Power BI service is hosted in the cloud. So, it’s really important to
provide guidance to employees on which type of data can and can’t be uploaded to the service rather than letting people
decide through intuition. Power BI allows you to
share data and reports with the entire organization. However, if everybody starts doing that, then it’ll be difficult to
identify meaningful information. You can also share data with
external users via Power BI. However, it’s important to
identify scenarios in which your employees will actually do that and possibly control who can do this. Publish to web is an interesting option. It’s a setting that’s on by default. So we’ve had some instances
where people have used this option as a workaround
for licensing or sharing and not realized that
the reports get published to the public internet. Some of our visuals share
data with our partner firms. For example, your use of
ArcGIS maps for Power BI is subject to Esri’s
terms and privacy policy, and some data is shared with Esri. This may or may not be important to you, but it’s worth knowing and
making an informed decision as the data may leave
geographical boundaries when you use a partner service. The same could happen with
any other custom visual, so vetting them for use in
the organization is advisable. Audit logging is a great feature
and can help you backtrack activities to meet
compliance requirements, but if it’s not enabled and
the logs are not backed up appropriately, you may not be compliant with your auditing requirements. I hope these examples helps you understand that it is important to make
governance decisions up front as every organization is different, and it’s really important to
have a governance strategy that works best for the organization. We have included a link to
the slides that we’ve used in this presentation in
the description below. Thanks for listening, and
if you have any feedback or questions, please
leave a comment below. See you in the next one.

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