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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Analysts Describe Current BI Environment
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 > Analysts Describe Current BI Environment
AnalyticsBusiness IntelligenceSoftware

Analysts Describe Current BI Environment

Roman Vladimirov
Roman Vladimirov
3 Min Read
Image
SHARE

ImageBusiness intelligence has broadened its reach in recent years. The limitations that have defined the software throughout its early development have fallen away, with developers taking many interesting new approaches.

ImageBusiness intelligence has broadened its reach in recent years. The limitations that have defined the software throughout its early development have fallen away, with developers taking many interesting new approaches. The general amount of information that can fuel insight is spiking due to the development of big data analytics, and dashboards are becoming highly portable through mobile BI initiatives. The profile of the analytics user has broadened considerably in the past few years as well, with self service BI tools filtering throughout business structures. IT leaders might want an in-depth roadmap to figure out which trends suit their unique analytics needs.

Development explained
Forrester recently released some of the details from its business intelligence research, hoping to explain a few of the more in-depth uses for BI. Analyst Charles Green stated that businesses will enhance the scope of their analytics plans in the years ahead. He noted that even some of the most basic components of analytics, including dashboards and reporting capability, are not in place across the board. In Green’s view, IT leaders will ramp up their engagement with the technology, moving through standard deployments and equipping them with more powerful features. This means capabilities like prediction, now little used by businesses, will become more popular in a hurry.

As for whether or not BI will continue to be a high priority, Green stated that new projects will indeed receive the support they need. He attributed this to a gradual takeover of business decision-making by a stats-based approach, with leaders eventually dedicating ample effort to making their business intelligence plans superior to rivals’. Green cited the “confluence and combination” of different analytics threads rather than some sort of monolithic new approach. Companies can mix and match advanced projects and find out which ones are most important for their industries. Chances are, something will click, no matter the type of company in question.

More Read

Image
Automation and the Danger of Lost Knowledge
Last-Minute Holiday Shoppers Rejoice – Online Gift Finders Can Help
Free Tools to Test Website Accessibility
Next Generation Warranty Systemsv
2009 Marketing Trends and Thoughts on Web 2.0

Determining corporate outcomes
As business intelligence programs assume their new role as competitive difference-makers, the various decisions relating to their deployment will become more pressing than ever. New options like the Software-as-a-Service deployment model could make a huge impact in this area, helping businesses change their tactics and deploy new approaches without making a massive one-time dent in the capital expenses budget or taking time to install new hardware and software. Cloud BI models may help IT leaders install the unique capabilities they need in a more timely, efficient manner. As BI becomes a corporate mainstay, such efforts to improve its use could excel.

image: BI/shutterstock

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

‘Google-like IT Automation For the Rest of Us:’ Puppet and Chef

3 Min Read

Top Data Analysts Must ‘Speak the Language of the Business’

4 Min Read
Image
Best PracticesBig DataCloud ComputingCommentaryCulture/LeadershipData WarehousingExclusiveHadoopITUnstructured Data

Changing Your Mind About Big Data Isn’t Dumb

6 Min Read
Image
Analytics

Video Analytics Get Pedestrian in New York City

3 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
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?