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: Key to Business Intelligence Success: Data Accuracy and Visibility
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Key to Business Intelligence Success: Data Accuracy and Visibility
Best PracticesBig DataBusiness IntelligenceData ManagementData QualityData WarehousingIT

Key to Business Intelligence Success: Data Accuracy and Visibility

Roman Vladimirov
Roman Vladimirov
3 Min Read
business intelligence
SHARE

business intelligenceBy now, most decision-makers have probably heard some success stories regarding business intelligence (BI) – how one company used it to cut costs, for instance, while another uses it to project the return on investment for new IT projects. 

business intelligenceBy now, most decision-makers have probably heard some success stories regarding business intelligence (BI) – how one company used it to cut costs, for instance, while another uses it to project the return on investment for new IT projects. 

But many organizations are struggling to achieve those same results, largely because of impediments like inaccurate reports and a lack of data visibility. 

“One of the biggest pitfalls for a program is disconnect between IT and the business on who controls strategy and initiatives,” Eliot Arnold, co-founder of Massive Data Insight, recently told InfoWorld. 

More Read

financial services and big data
How the Financial Services Industry Should Use Big Data to Regain Trust
AI Is Reaching New Milestones In Senior Care In 2019
Text Mining and Regular Expressions
Is Big Data Beneficial for Commercial Airlines Industry or Just a Controversy?
13 Retail Companies Using Data to Revolutionize Online & Offline Shopping Experiences

A study from Kovarus revealed some of the struggles IT departments and decision-makers are having include:

  • Data centers are too complex, according to 44 percent of respondents. With so many technologies involved at once, including a number of new investments, IT professionals labeled their warehouses a “mish mash” of solutions. 
  • Information that is either inaccurate or not easily accessible. Two in five respondents said they didn’t even know how much their IT budgets were.
  • Nearly two-thirds of respondents said they lacked the time, technology or available funding to make improvements to the organizations and accessibility of their data. 

Overcoming these problems
Fewer than 40 percent of IT leaders use reports to make important decisions, according to the Kovarus survey, meaning many investments are probably made with very little chance for success. With technology in a constant state of flux, organizations figure to have plenty of new projects in their near future, making this a problem they will definitely want to resolve. 

So how exactly can companies do this? Of course, the solutions they invest in can help, but more than anything, implementing the right strategies will be key. Wayne Bennett, chief financial officer of Franklin Communication Health Network, suggested a combination of data warehousing and integration is a good first step. 

“Putting the two together – data warehousing and desktop query – allows us to really understand this,” Bennett recently told Healthcare Finance News. “Relationships of data drive the business intelligence, and you can stop working off of anecdotal information and focus on straight facts. Really, data intelligence is an evolution.”

Storing and integrating information effectively lays the foundation for those useful queries that Bennett mentioned. Data accuracy is another vital component, according to InfoWorld. 

All of these factors together can equate to better collaboration among different departments, which is essential for companies to achieve all the advantages BI has to offer. 

(image: business intelligence / shutterstock)

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

power supplies for ATX for data scientists
Why Data Scientists Should Care About SFX Power Supplies
Big Data Exclusive
AI for website optimization
Free Tools to Test Website Accessibility
Artificial Intelligence Exclusive
Generative AI models
Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence
Artificial Intelligence Business Intelligence Exclusive Infographic Machine Learning
image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

data security tips
Data Management

5 Strategies For Keeping Your Company’s Sensitive Data Secure

6 Min Read
virtual assistants are becoming even more important due to cloud technology
Cloud Computing

Cloud Technology Makes Virtual Assistants More Beneficial than Ever

7 Min Read
Agile Marketing
Decision ManagementMarketing

How to Apply Agile Marketing Strategies to Data Driven Enterprises

4 Min Read

Looking for Kool-Aid at the Tableau conference

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
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?