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
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 5 Reasons You Should Consider Taking Analytics to the Cloud
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 > Cloud Computing > 5 Reasons You Should Consider Taking Analytics to the Cloud
AnalyticsBig DataCloud Computing

5 Reasons You Should Consider Taking Analytics to the Cloud

GilAllouche
GilAllouche
5 Min Read
BYOD
SHARE

BYODCloud computing is still not considered a main staple of the IT package, but with many companies needing an affordable, flexible option for their data, business leaders are looking into what cloud computing can offer them. While the cloud has been touted for customer relationship management or human resource management, it is also a good option for business analytics.

BYODCloud computing is still not considered a main staple of the IT package, but with many companies needing an affordable, flexible option for their data, business leaders are looking into what cloud computing can offer them. While the cloud has been touted for customer relationship management or human resource management, it is also a good option for business analytics. Businesses in particular are turning to cloud computing for help with managing big data, so if you are wondering if the cloud is right for you, here are five factors to consider.

1. Faster Deployment

One of the greatest benefits to cloud computing is that you can get started adding users and creating your dashboards within minutes of starting the service. This is particularly useful for small or medium sized companies that want to get started with analytics right away but don’t have the hardware available or the time and resources to sit and install software. In addition, cloud computing makes it so no IT work is required, thus an entrepreneur doesn’t have to waste time figuring out IT or spend money on an employee or consultant they really can’t afford. Just think, with cloud computing there are no software upgrades to make, no broken hardware or security measures to take because it is all taken care of for you. For larger companies that have an IT department, the cloud service frees up the IT professionals from upkeep work and allows them to devote all of their time to strategic projects.

More Read

Black Swan Alert: Low Tech Links Devastate High Tech Supply Chains
The Promise and Perils of Text Analytics — Privacy
HIPAA Breach Lessons Learned
How Mobile Operators are Mining Big Data
Value of Decommissioning Legacy Systems

2. Secure Mobile Access

Companies struggling with BYOD security will find cloud computing a much simpler option than creating an access point for each employee through the company’s firewall. Since the cloud service provides all of its own security with authentication control, employees can login from anywhere on any device of their choosing and have secure access to the system. For example, a salesperson out on a sales call could quickly pull up information to answer a question without having to gain access to the business’s private network.

3. Easier Collaboration

Collaborating on a project with a client gets complicated when you have to get them permission to come inside your firewall. Instead, just like your employees, give them an account on the cloud server. Some companies worry that this will give clients access to information they don’t want them to have, but many cloud services specifically address this challenge by allowing users to segment data and dashboards, so clients can only see the project they are working on when they log in.

4. Scalability

Traditional software providers often require long-term payment plans for licenses. This makes it difficult to complete short term projects or complete a single big project and then immediately scale back. Cloud services are generally much more flexible with their payment plans, so you can add additional licenses as you need them, making it possible to scale with growth as well as for specific projects.

5. You’re Already in the Cloud

If a portion or all of your data is already stored in a cloud database, it makes sense to perform the analytics there as well. Cloud databases can analyze both cloud and traditional data, so it would be easy to complete the analysis without a lot of conversions, and all of your data could be found in one place.

Whether you go with big data as a service or a basic IaaS cloud server, finding the right service for analytics will vary for each company, but with the right service, companies stand to see considerable cost and convenience benefits by switching to the cloud.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive
warehousing in the age of big data
Top Challenges Of Product Warehousing In The Age Of Big Data
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Does It Take a Scientist to Find Gold in Big Data?

0 Min Read
how insurance companies using big data
AnalyticsBig DataData CollectionExclusive

How Insurance Companies Use Data To Measure Risk And Choose Rates

6 Min Read

Predictive analytics panel at Business Analytics Summit

9 Min Read

Why Business Intelligence Software Is Failing Business

10 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?