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
    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
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 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

The specific benefits of business intelligence in Insurance
Blind (and Incompetent) Justice Thanks to Spreadsheet?
Why Are There Irrational Business Decisions?
Announcing: JuiceKit SDK Open Source
Business Priorities Point the Way for MDM

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

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

From the Midfield to the Top

6 Min Read

The New York City Fire Department has partnered with IBM to…

2 Min Read
AI and cybersecurity challenges
Artificial IntelligenceExclusiveITSecurity

How AI is Transforming Cybersecurity in 2021?

6 Min Read

Two key elements to providing data and data integration services

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 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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?