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

Please complete: “There are things known and things unknown and in between …”
Here’s how decisions and rules relate (and how to manage them)
The Role of Decision Requirements in the Analytical Life Cycle
Articles on Data Mining
Cloud Technology is the Future of Medical Billing Software

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

ai in business
Recurring Revenue Strategies for the AI Business Era
Artificial Intelligence Exclusive
ai for playground safety
Using Data to Plan Safer, More Efficient Public Playgrounds
Big Data Exclusive
AI for cybersecurity
How AI Supports Modern Penetration Testing
Artificial Intelligence Exclusive
ai kids and their parents
How Cities Use AI to Improve Playground Design
Exclusive News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The analyst function is dead

5 Min Read

Enterprise 2.0 Pilots

4 Min Read

A Big Cryptographic Boost for On-Demand BI and Extranets?

7 Min Read

Using decision management to manage risk

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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?