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
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Avoiding Potential Snags in BI Initiatives
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Avoiding Potential Snags in BI Initiatives
Business IntelligenceSoftware

Avoiding Potential Snags in BI Initiatives

Roman Vladimirov
Roman Vladimirov
3 Min Read
Image
SHARE

ImageBusiness intelligence analysis platforms are at a precipice, in terms of popularity and adoption.

ImageBusiness intelligence analysis platforms are at a precipice, in terms of popularity and adoption. While there are still more businesses out there that plan to implement BI and big data initiatives than have actually begun using them, the fact remains that these trends are a formidable aspect of the software market. They have reached a point where their popularity will either continue to increase or will diminish significantly.

As with most types of software designed for the enterprise world, platforms intended to quantify and apply big data and analytics will either stand or fall based on how it is put into everyday practice. There are several ways in which they can go wrong in terms of implementation, according to ZDNet, and it will be important to be cognizant of them to avoid such traps.

BI implementation failures to avoid
The news source reported that two major potential problems of BI use involve poor organizational strategy and a lack of governance.

More Read

Successful Business Intelligence Projects: The Role of Managers and Leaders
Benefits of Using AI-Powered Plagiarism Checkers When Writing Academic Papers
Analyst Skills are Hot
BusinessObjects is The Best Thing About SAP Business Suite 7?
Leveraging Big Data and AI: How Forex Trading Robots Are Transforming Financial Markets

Regarding the first issue, some businesses are guilty of adopting a BI solution simply because of a desire to remain in sync with prominent trends. This is problematic, as organizations need to find a compelling case for themselves that details how they will benefit from the use of these tools. Otherwise, the software will be largely superfluous. This purpose also needs to be understood and agreed upon by all departments, ranging from IT personnel to executives and other C-level members of staff.

Meanwhile, governance is essential because if there is not a policy in place to govern how big data is applied, it could unearth data that might not be any of its business. The source cited an example of a company that used purchase histories to find pregnant customers and target sales initiatives at them. This could be seen as a bridge too far in terms of having information on customers.

Finally, having skilled personnel on staff to operate the software is incredibly important, as improper use of BI can be problematic.

The benefits are worth it
None of the aforementioned potential problems are reason enough to avoid big data altogether. According to a recent survey conducted by Tech Pro Research, 82 percent of respondents who had managed to implement big data analysis platforms claimed to have seen tangible benefits from them. Predictive tasks, data management, business analytics and data management were just a few of the areas where improvements were noted.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Edge Computing in IoT
Unique Capabilities of Edge Computing in IoT
Exclusive Internet of Things
Turning Geographic Data Into Competitive Advantage
The Rise of Location Intelligence: Turning Geographic Data Into Competitive Advantage
Big Data Exclusive
AI Recruitment Software Solution
The Best AI Recruitment Software Solution: Transforming Hiring with Smarter Tech
Artificial Intelligence Exclusive
real estate data
How Big Data Is Changes How We Buy and Sell Real Estate
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Flight 1549 Landing In The Hudson (via techcrunch) The computer…

2 Min Read

Switching Over to “The Leading New Analytic Architecture”

0 Min Read
ai in fintech
Fintech

Fintech App Development Discover the Benefits of Using AI

10 Min Read

Managing Your Sales Funnel: How Does CRM Software Help?

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
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?