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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Evolution of today’s enterprise applications
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > The Evolution of today’s enterprise applications
ITSoftware

The Evolution of today’s enterprise applications

David Strom
David Strom
4 Min Read
SHARE

Enterprises are changing the way they deliver their services, build their enterprise IT architectures and select and deploy their computing systems. These changes are needed, not just to stay current with technology, but also to enable businesses to innovate and grow and surpass their competitors.

Enterprises are changing the way they deliver their services, build their enterprise IT architectures and select and deploy their computing systems. These changes are needed, not just to stay current with technology, but also to enable businesses to innovate and grow and surpass their competitors.

In the old days, corporate IT departments built networks and data centers that supported computing monocultures of servers, desktops and routers, all of which was owned, specified, and maintained by the company. Those days are over, and now how you deploy your technologies is critical, what one writer calls “the post-cloud future.” Now we have companies who deliver their IT infrastructure completely from the cloud and don’t own much of anything. IT has moved to being more of a renter than a real estate baron. The raised-floor data center has given way to just a pipe connecting a corporation to the Internet. At the same time, the typical endpoint computing device has gone from a desktop or laptop computer to a tablet or smartphone, often purchased by the end user, who expects his or her IT department to support this choice. The actual device itself has become almost irrelevant, whatever its operating system and form factor.

More Read

The Amazon Effect: Zuora, Citrix and the Acceleration of the Cloud Economy
Predictive Policing with Big Data
Big Data: Will Open Source Software Challenge BI & Analytics Software Vendors
Data, Energy, And The Smart City: A Conflicting Relationship
From Wearable to Invisible Technology

At the same time, the typical enterprise application has evolved from something that was tested and assembled by an IT department to something that can readily be downloaded and installed at will. This frees IT departments from having to invest time in their “nanny state” approach in tracking which users are running what applications on which endpoints. Instead, they can use these staffers to improve their apps and benefit their business directly. The days when users had to wait on their IT departments to finish a requirements analysis study or go through a lengthy approvals process are firmly in the past. Today, users want their apps here and now. Forget about months: minutes count!

There are big implications for today’s IT departments. To make this new era of on-demand IT work, businesses have to change the way they deliver IT services. They need to make use of some if not all of the following elements:

  • Applications now have Web-front ends, and can be accessed anywhere with a smartphone and a browser. This also means acknowledging that the workday is now 24×7, and users will work with whatever device and whenever and wherever they feel the most productive.
  • Applications have intuitive interfaces: no manuals or training should be necessary. Users don’t want to wait on their IT department for their apps to be activated, on-boarded, installed, or supported.
  • Network latency matters a lot. Users need the fastest possible response times and are going to be running their apps across the globe. IT has to design their Internet access accordingly.
  • Security is built into each app, rather than by defining and protecting a network perimeter.
  • IT staffs will have to evolve away from installing servers and towards managing integrations, provisioning services and negotiating vendor relationships. They will have to examine business processes from a wider lens and understand how their collection of apps will play in this new arena.

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive
data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Top 5 criteria to consider in a data protection provider

5 Min Read
big data analytics trends 2020
AnalyticsBig DataBusiness IntelligenceCloud ComputingExclusiveMachine LearningPredictive Analytics

6 Data And Analytics Trends To Prepare For In 2020

10 Min Read

How to Evaluate the Effectiveness of Your IT Infrastructure

3 Min Read
employee data digital adoption
Data ManagementMarketing Automation

Why Digital Adoption Rests On Understanding Employee Data

7 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?