We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Large Portion of Fortune 500 Companies Are Unprepared for Big Data Growth
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Large Portion of Fortune 500 Companies Are Unprepared for Big Data Growth
Big Data

Large Portion of Fortune 500 Companies Are Unprepared for Big Data Growth

Roman Vladimirov
Roman Vladimirov
3 Min Read
Large Portion of Fortune 500 Companies Are Unprepared for Big Data Growth
Illustration generated with Qwen Image.
SHARE

As technology grows and adapts, its in-depth integration into nearly every industry continues to change the needs of companies in terms of big data management and analysis.

As technology grows and adapts, its in-depth integration into nearly every industry continues to change the needs of companies in terms of big data management and analysis. However, many enterprises may not be putting the necessary efforts into this aspect of their operations, which could lead to major issues in a few years.

Fortune 500 companies likely to be hit hard
Gartner, an IT research and advisory company, recently released a report that analyzed the current and future needs surrounding enterprise information management. Based on the findings, the researchers predicted that roughly one-third of Fortune 500 organizations will encounter major issues with their business intelligence by 2017. Andrew White, Gartner’s research vice president, explained in a release that many companies may be disorganized or unwilling to focus their efforts on big data management, particularly because they may not “effectively value, govern and trust their enterprise data.”

Making efforts now can improve business over time
White pointed out that companies will need to manage and use their data effectively to reap the most benefits. Enterprise information management and other data analysis tools will be necessary to not only help businesses sort through the information, but also determine the best possible uses for that information to give a company insights that will boost growth and productivity.

More Read

Top Reasons to Enroll in a Degree That Will Teach You to Work With Big Data
Top Reasons to Enroll in a Degree That Will Teach You to Work With Big Data
The Challenges and Solutions of Big Data Testing
Role of Big Data Extraction for INTL Contextual Marketing Campaigns
Bottoms Up! Big Data for Busier Bars
Real-Time Access to SaaS Data

“With effective information governance, business users will understand the impact of poor quality data on the outcome of desired business processes,” White said in the release. “This understanding leads to a desire, on behalf of the end user, to assure or ‘steward’ the data so that it supports their day-to-day business activities.”

Data analysis software will prove useful
Having the right tools to analyze big data is of utmost importance, and these days there are many different options to choose from. TechTarget suggested investing in more than one BI solution to handle the various sectors of data being collected. Companies that have already invested in SQL business intelligence software need not worry, as the source pointed out that SQL interfaces can still play a functional role in data management going forward. By choosing multiple analysis software options, companies can fine-tune their business analytics for each sector to get the best possible results.

“What we’re saying is, ‘Give the things that belong to a certain task a certain database,'” Pramod Sadalage, a consultant for a Chicago-based software development company, told Tech Target. “If you have, for example, a [product] catalog, put it in a database that is well-suited for that – then searches go faster.”

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
How an Online MBA in Marketing Connects AI and Data Analytics
Analytics Artificial Intelligence Big Data Exclusive
Flat editorial illustration: The article connects commercial drone capture with integrated software workflows that organize and r
Drone Technology as a Business Investment: Calculating ROI, Costs, and Long-Term Value
Business Intelligence Marketing Software
Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive
Flat editorial illustration: A business-editorial depiction of two account-growth routes: data-guided targeted advertising and cr
Targeted Ads and Cross-Promotion: Using Audience Segments and Platform Statistics to Grow
Exclusive Social Data

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Utilizing Data Analytics To Create Seamless Web Dashboards
Analytics

Utilizing Data Analytics To Create Seamless Web Dashboards

6 Min Read
VC Investment Analytics on 20 Years of Investment Data
AnalyticsBig DataBusiness IntelligenceData VisualizationSoftware

VC Investment Analytics on 20 Years of Investment Data

4 Min Read
Farewell To BlogPulse
Social Data

Farewell To BlogPulse

3 Min Read
chatgpt image jul 13, 2026, 03 59 46 pm
AnalyticsBig DataExclusive

How Data Analytics Improves Multi-Location Search Strategies

10 Min Read

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

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?