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 and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: What Makes Self-Service Statistical Computing Tools So Important?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > What Makes Self-Service Statistical Computing Tools So Important?
Analytics

What Makes Self-Service Statistical Computing Tools So Important?

JessicaQiu
JessicaQiu
4 Min Read
Self-service statistical computing is a growth industry in 2013.
SHARE
Worldwide IT spending will continue to grow in 2013 according to Forrester research and self-service computing and analytics is one driver for the growth.
 
Self-service statistical computing tools are also a top trend of business intelligence in 2013 based on some predictions.
Worldwide IT spending will continue to grow in 2013 according to Forrester research and self-service computing and analytics is one driver for the growth.
 
Self-service statistical computing tools are also a top trend of business intelligence in 2013 based on some predictions. Data from various aspects show that self-service statistical computing and analytics tools are in Self-service statistical computing is a growth industry in 2013.growing need. Even some big companies shifted their focus to self-service tools and Microsoft is a typical example. But why is self-service statistical computing software more and more popular? What makes these tools so important?

One reason is that they enable business users to leverage data insights for decision making with unprecedented efficiency. Self-service data computing and analytics tools are developed for users of all levels. Since some users may not be tech-savvy, traditional data handling software like SQL is too difficult for them. Self-service business computing and analytics are very agile and flexible, which makes business users’ work very convenient. This is what self-service data computing tools like esProc and esCalc are great for. Besides, self-service statistical computing software is visual and easy to use. Business users can interact with data easily and effectively without the involvement of an IT department. That is to say, business users put everything in their own hands with self-service computing and analysis tools.

In addition, self-service business computing tools often move faster than IT. In the digital world, data are generated at any time and fast results allow quick reactions to the ever-changing market. Since self-service statistical computing tools don’t need modeling beforehand, business users can run ad hoc queries and build their own reports, making work more nimble. At the same time, the pressure on IT staff has been taken off and leaves them more time to focus on other value-added tasks as a help for self-service computing and analytics.

Cost-effectiveness is another charm of self-service statistical computing tools. Business leaders adopt statistical computing and analytics tools to help their companies save money and make their companies more profitable. If a solution can’t bring rewards or allow breaking even on the investment, business users will lose confidence in these tools. This can explain why only a few companies are using the BI solution. However, with self-service statistical computing tools, business users can use the tools well without extra training, which saves on costs. Furthermore, self-service tools deliver great benefits to business users with their powerful capabilities for real-time analysis.

In brief, self-service business computing tools bring many benefits to business users. They realize business users’ dreams of better ways to get useful insights from data with business computing and analytics tools. And they avoid the inherent drawbacks of traditional data computing and analytics tools.

TAGGED:data analyticsself-service statistical computing
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

how to use big data to optimize wordpress
Big DataExclusive

Here’s How To Use Big Data To Optimize WordPress Performance

7 Min Read
AI in web design
Artificial IntelligenceExclusive

The Impact Of Artificial Intelligence In Web Design

5 Min Read
data analytics for better email marketing
Analytics

Email Marketers Use Data Analytics for Optimal Customer Segmentation

12 Min Read
launch a sustainable technology business
AnalyticsBig DataExclusive

How To Use Data Analytics To Launch A Sustainable Technology Business

5 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
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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?