Welcome!

Related Topics: Mobile IoT, Java IoT, Microservices Expo, Microsoft Cloud, Agile Computing, SDN Journal

Mobile IoT: Blog Post

How Many Solutions Does it Take to Implement Enterprise Mobility?

How many different solutions do you need in order to implement an enterprise quality mobile solution?

How many different solutions do you need in order to implement an enterprise quality mobile solution? I think this is a worthy question. In years past MEAP (mobile enterprise application platform) and MADP (mobile application development platform) vendors tried to cover all of your needs, but the market has determined this is not an acceptable model going forward. Companies are just not comfortable putting all their eggs in one basket and betting the mobile farm on an unprofitable VC backed mobility vendor. Enterprise mobility is just too strategic. Even when companies have standardized most of their internal business solutions on a major ERP vendor, they want to keep their options open. SAP understands this and has worked to make their SAP Mobile Platform environment play nice with other vendors and toolkits.

Given that market manifesto, companies must now pick and choose their own variety of mobile solutions, platforms and toolkits. The first question, again, is how many solutions do you need? I am going to suggest at least one more than you may have thought. Several vendors including Aternity and B2M Solutions propose that you must understand your business process and systems' performance first, second your mobile app performance, and thirdly your workers' performance (KPIs) in the field. How many of you have recognized this solution category in the past? Not many I think. This is an area generally overlooked in most mobility projects.

Think about this scenario - Your team develops the world's best mobile app, however, it sucks and nobody will use it! How could that be? The business process, back office systems, APIs and security environments are too slow to support the needs of the mobile app and by extension the mobile user. That is a critical problem. It would have been nice to measure the performance of those required systems and processes before you invested in the development of the mobile app. Many IT environments were not designed with mobility in mind. Today, major work must be done in many enterprises to support the new digital and mobile realities.

I am recommending that enterprises first measure the performance of the business process and relevant systems before they start developing the mobile app. Once the performance is deemed satisfactory, then develop the mobile app and measure its performance. Isolate performance issues at each step of the way.

Once your business processes, systems and mobile app performances are all deemed satisfactory, then seek to start measuring workforce productivity and KPIs via the mobile apps. This data can be used to better understand "patterns of life" and "patterns of work" and optimization efforts implemented.

***************************************

Kevin Benedict

Writer, Speaker, Editor

Senior Analyst, Digital Transformation, EBA, Center for the Future of Work Cognizant

View my profile on LinkedIn

Learn about mobile strategies at MobileEnterpriseStrategies.com

Follow me on Twitter @krbenedict

Browse the Mobile Solution Directory

Join the Linkedin Group Strategic Enterprise Mobility

Join the Google+ Community Mobile Enterprise Strategies

Recommended Strategy Book Code Halos

Recommended iPad App Code Halos for iPads

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

More Stories By Kevin Benedict

Kevin Benedict serves as the Senior Vice President, Solutions Strategy, at Regalix, a Silicon Valley based company, focused on bringing the best strategies, digital technologies, processes and people together to deliver improved customer experiences, journeys and success through the combination of intelligent solutions, analytics, automation and services. He is a popular writer, speaker and futurist, and in the past 8 years he has taught workshops for large enterprises and government agencies in 18 different countries. He has over 32 years of experience working with strategic enterprise IT solutions and business processes, and he is also a veteran executive working with both solution and services companies. He has written dozens of technology and strategy reports, over a thousand articles, interviewed hundreds of technology experts, and produced videos on the future of digital technologies and their impact on industries.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.