*** Watch the webinar that goes with the slides! http://bit.ly/mobilebiwebinar ***
Mobility is one of the biggest and most significant trends in enterprise and consumer technology right now. Business intelligence is no exception and is one of the biggest enterprise categories where mobile is making big changes.
From situational awareness and real-time operations insights, to enabling a mobile workforce, mobile BI is changing business operations.
Many organizations are behind the curve when it comes to mobile BI, yet it does not have to be herculean effort to get started.
Learn the value of mobile BI, where to start, and best practices that will ensure a successful transition to mobile for your BI users and increased adoption.
A few topics that will be covered:
- Why you should use mobile to transition users away from traditional reports
- Why many organizations haven’t made the transition yet
- How to overcome these roadblocks to kick-start your project
- The top challenges faced with mobile BI projects
- Lessons learned on driving mobile BI projects
Thank you for joining us today for the latest installment in Smartbridge’s Information Management Webinar Series. Today’s topic will be about Mobile BI in 2015 – 5 important things to know to make it happen for your organization.
I am Matt DiBona, a Director in the Smartbridge Enterprise Information Management practice.
And I am Ryan Campanile, Vice President of our Enterprise Information Management practice.
Today, I am going to cover the reasons to make the transition to Mobile business intelligence, some common reasons why organizations haven’t transitioned, and how to get over those hurdles. Ryan will then lead us through some of the common challenges faced during a Mobile BI implementations and some of the lessons learned we have compiled over our years of delivering BI solutions on Mobile.
So the first topic I want to address is the question, “Why Transition to Mobile BI?”
To help answer that, it is important to understand where the industry is in this transition. As you can see here, the trend is moving towards mobile delivery of everything, and business intelligence and analytics are no different. More and more people will have either company issued devices or be using their own devices. So in spite of whether your company chooses to enable its users by delivering killer apps, they will still find ways to incorporate their phones and tablets into their job.
Based on these industry statistics, let’s take a quick poll to see where the audience is with Mobile BI initiatives at their organizations.
Based on the fact that people have the devices (whether company-issued or personally owned), allowing users to use their devices will allow them to engage further and be more responsive, as you are letting them do what needs to be done when it needs to be done wherever they happen to be. Further, the more likely they are to view the information because it is with them all the time, the more likely they are to work with others to resolve any particular issues identified.
Example: in a field operations organization, you can allow users to see how things went yesterday before they even get out of bed. They can then forward the concerning insight/metric to the right person first thing.
On the right hand side, by delivering information in an intuitive way on a mobile device, it helps simplify the process for making decisions. So not only can decisions be made faster, but they have a higher likelihood of success because the decisions are being made on facts presented through the dashboards, and actions are being taken more timely.
All of these benefits combine to ultimately drive Increased Productivity. People are engaged and motivated to work together because Mobile BI makes it easier to do so. Putting insights into your employees hands will allow them to accelerate their business process, which makes them feel more empowered and allows them to deliver higher value.
Now, another major trend in BI is moving from the diagnostic analytics world of answering, “What happened?” to the predictive “What will happen?” or prescriptive “How can we make it happen?”. Predictive and prescriptive analytics can allow a user to see the various potential options for action, and help them choose the one with the best expected outcome.
Coupling advanced analytics along with mobile delivery of these insights gets us closer to the “holy grail” of being able to make the best decisions at the best time. If you are able to provide this capability to your users wherever they happen to be, you are truly positioning the team to drive competitive advantage in the marketplace.
Example: As a restaurant manager, I may not know that weather later today is expected to be bad. Predictive analytics suggests that our labor should be reduced later in the day because customer traffic is predicted to be low based on a model developed correlating weather to guest counts. If I were to receive an alert on my mobile device, then I don’t have to be in front of my computer in order to take the recommended action of cutting some of the staff earlier tonight.
Based on our earlier poll, not everyone has transitioned their entire Enterprise to using Mobile BI. Let’s explore a few of the major reasons we have seen on why organizations haven’t gotten there yet.
First, “We’re not ready to tackle mobile yet”. There is definitely a need to prepare for using Mobile as part of your BI delivery platform. First, the software you use needs to offer mobile capabilities, and not all enterprise BI solutions are created equal in terms of their support for mobile delivery. But beyond the software, there are obviously remote access and security considerations that also must be considered.
Secondly, we find that companies haven’t yet tackled the challenges of BYOD and mobile device proliferation.
And lastly, like any technology initiative, it can be difficult to enlist the necessary support to get the initiative off the ground.
So let’s take another quick poll of the audience – what are the challenges you expect to face (or have faced) in trying to get your Mobile BI initiative off the ground?
As our poll suggested, there are various reasons why Mobile BI initiatives haven’t been successful yet. So let’s explore some ways to help you get over these internal hurdles to get your initiative launched.
(1) First, it is important to determine who will carry the torch for Mobile BI. Often this is someone in operations, because they have a larger contingency of remote-based staff. This person needs to have a strong and respected voice among executive leadership and the employee population in general.
(2) Next, use this champion to drive clarification of your organization’s BYOD policy. This discuss will likely involve IT, HR, and Legal, as well as representation from the lines of business. The goal is to establish a policy that protects both the individual and the company, and doesn’t create too much bureaucracy or fear of “big brother”, but refines your existing Acceptable Use Policy to include BYOD.
(3) On the topic of device proliferation, we’ve seen companies begin to reduce the number of options given to employees if company-issued devices. This will allow for a standard to evolve over time without the company incurring significant cost to replace existing devices that may not be at the end of their useful life.
(4) & (5) As with any new technology initiative, it is important to set yourself up for an initial success, so it makes sense to engage third parties to help tightly scope the initial project that is up for approval. It can be smaller, faster, and more successful if you use the collective experience of these third parties who have been through this before.
(6) And lastly, leverage these third parties to help build the business case to get your initiative approved. They have a vested interest in the project getting approved, so lean on them for their expertise in quantifying the business value of the initiative.
By following these recommendations on overcoming the hurdles standing in the way of your Mobile BI initiative, hopefully you now have been given the green light. I’m going to hand over to Ryan Campanile to take you through the implementation side of your Mobile BI initiative.
Not fully considering the mobile user experience during design
Viewing something in a mobile browser doesn’t typically leverage the inherent strengths of the native apps available (more intuitive widgets, gestures, GPS or other sensors, etc.)
Users expect extremely high performance like their other consumer apps; if it’s slow they won’t use it
Things that work well on the web don’t translate perfectly to the tablet; things that work well on a tablet don’t translate directly to the phone
Not starting with the best first mobile BI use case
Starting with a scenario that is new or isn’t broadly used would
Simply copying old tabular, “print-style” reports onto the mobile device
Attempting to enable a capability that is very detail-oriented with multiple levels of drill-down
Trying to deliver too many requirements and form factors initially
Infrastructure, Deployment, Security issues
BYOD policy is undefined, unclear, or incomplete
A Mobile Device Management solution is not in place
Do you have a solution that handles establishing a secure connection to the corporate network, automatically pushes apps and app updates, ensures OS/patch compliance, and can handle remote wiping of sensitive information?
While mobile BI apps can be connected to your BI servers if externally facing, are you aware of what information is stored locally, and whether information is encrypted in transport?
Too many devices causes complexity: Phones, tablets, phablets – Even Apple now has 4 phone resolutions supporting IOS8
Not enough support from the business/user community