Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Developing BI for Mobile – Optimal Access with Security
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Developing BI for Mobile – Optimal Access with Security
Business Intelligence

Developing BI for Mobile – Optimal Access with Security

Annie Bustos
Annie Bustos
6 Min Read
BI for Mobile
SHARE

The real-world usages for mobile BI are endless. Consider a couple of examples.

A manufacturing supervisor can see reports on worker productivity and machine conditions in real time, so they can offer breaks to tired employees or ask maintenance to take a machine offline before it fails. A sales person offering managed IT services while on the road can review BI data on how a prospective client’s needs match with a satisfied customer and then recommend a similar pairing and consultative services.  The opportunities are expanding because of the refined capabilities of BI vendors and the explosion in usage of mobile devices.

Businesses are shifting to mobile applications that are not device specific, and simply provide seamless access to data regardless of the method used to access the information. Developing the right mobile application requires a carefully planned strategy that will result in productive BI experiences. Here are some best practices to consider:

Employ Purposeful Development

More Read

data analyst
Shortage in Advanced Analytic Skills? Here’s an Indirect Approach
Founded in 2005, Numenta is developing a new type of computer…
Artificial Intelligence Is Influencing Everyday Lives for the Better
Oracle OpenWorld Update #2 – Oracle’s use of social media
Articles on Data Mining

Answer the big questions first – “what should the app do?” It’s a simple question, but one that warrants close inquiry and discussion. Who are the stakeholders you are serving with the app, and what are their needs? While you can’t meet every request, there should be some frequently mentioned tasks or types of data that are common among many employees.

Once you’ve decided on the core functions of the app, then it’s time to design mobile-friendly functions such as thumb-sized buttons and the ability to zoom in or out (similar to photo navigation). Creating a clean and effective dashboard UI is difficult, so consider talking to an experienced IT consultancy about designing a mobile app that offers speed and efficiency through intuitive controls.

Build Data Sets through Mobile

Armed with mobile devices, users can not only access BI intelligence, they can also directly contribute data that can be leveraged by others. Architects and builders reviewing a site could use their tablet or phone cameras to take pictures of the surrounding landscapes, and then feed this information into the BI platform. GPS tagging could be added to the photos to provide location data, so, for example, the construction crew preparing the building site could better understand property lines and digging points.

To grow your data warehouse with useful info, look to mobile users as new sources, and introduce automation to the process to streamline the collection.

Consider and Implement Feedback

As you refine or develop the BI app, talk to current/future users about what types of information they require in the course of doing their jobs. Then discuss if they have adequate access to this data and can manipulate it in meaningful ways. Pay special attention to the mobile users, whether it’s the sales staff, marketing employees who work from home, or the CEO who is on the road half the year. You want to understand the employees’ routines and how they relate to information gathering. Are they able to acquire all of the information they want, or are they impeded by the technology? Do staff members have to ask IT to run manual reports? Is there a time gap between a request and delivery?

If you have a current (poorly functioning) BI application, then you can ask similar questions to provide you with a baseline for the app and areas for immediate improvement.

Bake in Security

Allowing users in the field to access BI data through their own devices is a logical step. People are consistently blending their work and personal lives, and use a singular device to manage all of their tasks. So it’s only natural they want to use BI through their own phone or tablet. However, this does present the tricky security concerns for IT. Think about how a BI app will send/receive data and make sure you have a password and network controls in place. You should also build remote wiping capabilities into the app, so a lost phone can be immediately locked out from sensitive data.

The best security framework doesn’t work if there aren’t also protocols for the users. Security must include strict usage guidelines regarding how the users can access and share information, Wi-Fi rules, and password creation tips.

Providing access to BI via a mobile application provides the modern business with a method to inform employees so they can productively meet client needs. Developing or integrating such an application takes experience, including knowing how to relate business needs to the application’s specific functions. Talk to the experts at TechBlocks today to learn more about best practices for a BI mobile application.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

online business using analytics
Why Some Businesses Seem to Win Online Without Ever Feeling Like They Are Trying
Exclusive News
edi compliance with AI
AI Is Transforming EDI Compliance Services
Exclusive News
companies using big data
5 Industries Driving Big Data Technology Growth
Big Data Exclusive
software developer using ai
California AI Companies That Are Set for Long-Term Growth
Development Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

future artificial intelligence robot and cyborg.
Analytics

How AI and Analytics Can Save Energy Small Businesses

6 Min Read

Designing for Devices

4 Min Read
smart phone apps with AI
Artificial Intelligence

Factors Influencing the Cost of Developing an AI-Based Smart Home App

10 Min Read

“We have talked about a new department on cyber-physical…

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?