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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 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
Image
SHARE

ImageAs 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.

ImageAs 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

Predictive Analytics and Politics – Part 2
Solving the Riddle of Measuring Social Voice
This Scary Good Marketing Data Proves That Halloween Is A Winner
A Brief Primer On Monetizing & Unlocking Value From Healthcare Data
Completing Data Science Tasks in Seconds, Not Minutes

“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

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

big data analytics for trading data
AnalyticsBig DataExclusive

How Online Stock Trading is Being Impacted by Big Data

4 Min Read

Reminder: High-Performance Backtesting Webinar Tomorrow

2 Min Read

How BI and Data Analytics Pros Used Twitter in December

5 Min Read
big data telecom
Big Data

Big Data Is A Huge Boost To Emerging Telecom Markets

6 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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?