By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Collaboration in the Cloud: The Continuity Advantage
Share
Notification Show More
Latest News
ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science
ai software development
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > Collaboration in the Cloud: The Continuity Advantage
Business IntelligenceCloud Computing

Collaboration in the Cloud: The Continuity Advantage

jessoaks11
Last updated: 2014/03/13 at 4:00 AM
jessoaks11
4 Min Read
Image
SHARE

ImageReal-time communication doesn’t always seem quite fast enough, not in an economy where the most successful businesses have to not only meet current demand but anticipate future customer needs. Accessibility to the right collaboration tools and applications, no matter where the users are physically located is a critical part of the equation to harness company intelligence to predict future demand. 

ImageReal-time communication doesn’t always seem quite fast enough, not in an economy where the most successful businesses have to not only meet current demand but anticipate future customer needs. Accessibility to the right collaboration tools and applications, no matter where the users are physically located is a critical part of the equation to harness company intelligence to predict future demand. 

This puts a fine point on the importance of keeping the lines of communication open between employees, partners, and customers, at all times. To build this kind of accessible environment, companies are investing a larger percentage of the billions they spend on collaboration on cloud-based solutions that make it possible for anyone to tap into corporate messaging, voice, video, web and audio conferencing, as well as presence and other important features and applications from virtually anywhere. These solutions allow users to connect to one another through cloud-based collaboration services via a browser, tapping into applications hosted in a secure offsite cloud facility. 

Not only do on-demand cloud collaboration services from industry leaders such as Mitel help lay the foundation for more open communications between employees, partners and sometimes customers, these cloud-based services also come with assurances around availability and reliability. These stability guarantees are critically important because while collaboration is never classified as a mission critical application, there is little tolerance for downtime. 

More Read

ai in automotive industry

AI Is Changing the Automotive Industry Forever

SMEs Use AI-Driven Financial Software for Greater Efficiency
Key Strategies to Develop AI Software Cost-Effectively
AI is Driving Huge Changes in Omnichannel Marketing
Maximize Tax Deductions as a Business Owner with AI

Working the Cloud Angle

Thoughaccessibility is one of the cloud’s bigger selling points as a collaboration medium, the model also has an edge over more traditional on-premises solutions as a foundation for business continuity which only adds to its appeal. The best and typically most successful providers are those who architect their cloud-based collaboration services for maximum resilience against both natural and manmade threats.  

Cloud-based collaboration services come with redundancy built into all levels of service delivery from network connectivity and power to all the hardware within the cloud facility and the application itself.  Providers rely on redundant facilities so if one facility suffers a site-wide outage, delivery can be handed off to another facility to minimize downtime. 

The most stable cloud-based collaboration solutions employ multiple layers of physical and logical security to protect data integrity. Ultimately, the aim is to ensure that not only do users have consistent and reliable access to the tools they need to do business but the information they exchange is secure.

Cost-Benefit Analysis

Naturally, every business may not be ready to make the leap to cloud-based collaboration from an on-premises solution. One element that may advance the drive to cloud collaboration more than most is assessing an internal IT department’s ability to ensure optimal availability. Businesses need to weigh the availability and restoration guarantees a provider promises against their own internal capabilities. Those that cannot deliver the same availability and consistency using internal resources need to take a hard look at all costs associated with downtime.  These include everything from lost productivity which can run from hundreds to thousands of dollar per employee per hour to restoration costs and lost opportunity costs. 

Factoring in all of these costs may accelerate change more than any other. After all, no business today can risk falling behind on the communication curve.

jessoaks11 March 13, 2014
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

ai in automotive industry
Artificial Intelligence

AI Is Changing the Automotive Industry Forever

5 Min Read
Artificial Intelligence

SMEs Use AI-Driven Financial Software for Greater Efficiency

10 Min Read
ai software development
Artificial Intelligence

Key Strategies to Develop AI Software Cost-Effectively

10 Min Read
ai in omnichannel marketing
Artificial Intelligence

AI is Driving Huge Changes in Omnichannel Marketing

12 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?