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
    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
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data Is The Next Frontier For Innovation, Competition and Productivity
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 > Data Mining > Big Data Is The Next Frontier For Innovation, Competition and Productivity
AnalyticsData MiningData VisualizationData WarehousingDecision ManagementText Analytics

Big Data Is The Next Frontier For Innovation, Competition and Productivity

Brett Stupakevich
Brett Stupakevich
3 Min Read
Big Data Is The Next Frontier For Innovation, Competition and Productivity
Photo by Peggy_Marco on Pixabay (https://pixabay.com/photos/man-laptop-work-digital-nomad-4749237/)
SHARE

Author: Steve McDonnell
Spotfire Blogging Team

Last month I blogged about Big Data challenges and opportunities. This month I want to elaborate on Big Data opportunities. According to research by the McKinsey Global Institute, the potential value that can be extracted from big data is enormous:

  • A retailer could use big data to increase operating margins by more than 60 percent
  • The U.S. healthcare industry could use big data to create more than $300 billion of value every year
  • Services enabled by personal location data could result in $600 billion of consumer surplus spending

Much of the opportunity to use big data is for organizations, both in the public and private sector, who find themselves in the middle of a convergence of data about every aspect of their business – information about their products and services, about their buyers and suppliers and about consumer preferences and intent. With the right policies and enablers in place, McKinsey believes that big data will be a primary source of competitive advantage and enhanced productivity for companies. 

The report outlines five broad ways that companies can leverage big data today:

More Read

Real Estate
Real Estate Business Intelligence: Letting Agency Hype
The State of Complex Data in January 2016 [INFOGRAPHIC]
4 Ways to Use Analytics to Measure and Optimize Business Growth
Asia remains lucrative BI market
Industry Exposé: Technology Vendors Skew Analysts and Influencers
  1. Accessibility – by making big data more accessible in a timely manner, companies can reduce their time-to-market by reducing search and processing time of data and better integrating the information in R&D, engineering and manufacturing.
  2. Experimentation – tracking, storing and analyzing transactional data can lead to insight that improves operational performance in everything from managing inventory to managing people.
  3. Segmentation – creating even finer distinctions among customers can lead to products and services that exactly meet customer needs, something already used today by many companies in the private sector and a significant opportunity for organizations in the public sector.
  4. Decision-Making – supporting or replacing human decision making with advanced analytical models can improve decision-making, minimize risk and reveal insight that today remains hidden within large data sets.
  5. Innovation – improving products through the use of data about how they are used, creating after-market services based on data analysis and developing new mobile, location-based services are all potential sources of new revenue for companies.

Read the full report at the McKinsey website.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

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
Flat editorial illustration: Business and SaaS-editorial concept: a prospective development team proves its fit by testing a boun
Hiring a Dedicated Development Team for Your Existing Stack and Delivery Process
Development Exclusive
Flat editorial illustration: The article is about modernizing legacy software incrementally without stopping live operations. A t
7 Top Legacy Software Modernization Companies in Europe for 2027
Exclusive Software

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Interactive Analysis and Related Tools - Part II
Business IntelligencePredictive Analytics

Interactive Analysis and Related Tools – Part II

4 Min Read
Database Corner: Beginner’s Guide to MySQL Storage Engines
AnalyticsBig DataSQL

Database Corner: Beginner’s Guide to MySQL Storage Engines

8 Min Read
Big Data and Rise of Predictive Analytics
AnalyticsBest PracticesBig DataBusiness IntelligenceCRMData ManagementData WarehousingInside CompaniesITMarket ResearchMarketingPolicy and GovernancePredictive AnalyticsSocial DataSocial Media AnalyticsSoftwareWeb Analytics

Big Data and Rise of Predictive Analytics

5 Min Read
Three Ways to Get Your Predictive Models Deployed
ModelingPredictive Analytics

Three Ways to Get Your Predictive Models Deployed

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.

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?