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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Habits of Innovation
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Software > SQL > Habits of Innovation
Business IntelligenceNew ProductsSQLText AnalyticsUnstructured Data

Habits of Innovation

MaryAnne Sinville
MaryAnne Sinville
4 Min Read
SHARE

Despite BI’s advances, companies continue to struggle with responding quickly to a continuously evolving information landscape and the need for ease of information access that business users require. And big data technologies address sheer volume, but not the variety, velocity and complexity now referred to as extreme information.

Despite BI’s advances, companies continue to struggle with responding quickly to a continuously evolving information landscape and the need for ease of information access that business users require. And big data technologies address sheer volume, but not the variety, velocity and complexity now referred to as extreme information.

The recently released, Attivio AIE 3.0, gets to the heart of these problems by supporting the right information access method for each user in the enterprise and integrating all data sources, regardless of type.

More Read

Shutterstock Licensed Photo - 2160981465 | Chay_Tee
Top 10 Financial Mistakes That Can Be Resolved with AI
3 Tips for Delivering Mobile BI to Your Company
Workforce Planning and HR Analytics
The Drivers and Challenges of Enterprise 2.0
Business Analytics and IBM

What this means is that AIE 3.0 delivers insight and access into the business activity that is most important to each user’s particular function and corporate directive. AIE gives users who don’t understand dashboard construction or data relationships the ability to interact with information using the simple and powerful interface of search or role-based dashboards.

For more technical users who want to look at data in a very analytical way and are comfortable working with data visualization, AIE 3.0 now offers the most accessible and standards-based approach to analytics of any UIA platform. Through its JDBC and newly announced ODBC drivers and full SQL support, AIE seamlessly integrates with virtually any BI tool. Customers can now leverage the powerful capabilities of tools like Tableau, MicroStrategy, QlikView, Jaspersoft, Cognos, Business Objects and many more — bringing the rich context of unstructured content for users of the most cutting edge BI, visualization and analysis tools.

Developers working with AIE will appreciate new features that enable faster source integration, faster application development, reduced development cycles with dynamic configuration, a toolkit to quickly build Active Dashboards and deeper insight into document content.

Administrators will find enhancements for simpler multi-node configuration management, greater JOIN flexibility for streamlined index configuration due to increased JOIN flexibility and dynamic change configuration to minimize developer intervention requirements.

Clayton Christensen, who revolutionized the study of innovation with his groundbreaking The Innovator’s Dilemma, recently published The Innovator’s DNA. The book identifies five specific habits that characterize highly successful innovators: associating, questioning, observing, networking and experimenting. These traits share a common thread of inquisitiveness. Innovators excel at discovering connections between seemingly unconnected things.

Professor Christensen notes that the most successful innovative companies actively value and encourage these same five habits in their employees. Unified access to all enterprise information sources, spanning all types of information — from structured data (databases, data warehouses, etc.) to unstructured content (documents, SharePoint, web content, email, etc.) cultivates and enables these critical habits.

Thankfully, this is not some desired future state of technology; this is unified information access from Attivio, available and actively used with success by Fortune 10 global leaders and bold startups alike.

In my upcoming posts, I will cover more key features and dig deeper into the insight AIE 3.0 offers.

TAGGED:Attivioinnovationunified information access
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Comparing 5 Top Compliance Training Providers for Large Businesses -- AI-generated illustration
Comparing 5 Top Compliance Training Providers for Large Businesses
Business Intelligence Exclusive
11 Best AI Tools for Critical Thinking in Research -- AI-generated illustration
11 Best AI Tools for Critical Thinking in Research
Artificial Intelligence Exclusive
Top 7 GTM Intelligence Tools with MCP Integration in 2026 -- AI-generated illustration
Top 7 GTM Intelligence Tools with MCP Integration in 2026
Artificial Intelligence Exclusive News
What Is Fine Tuning AI Models And When Should You Actually Do It? -- AI-generated illustration
What Is Fine Tuning AI Models And When Should You Actually Do It?
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Diffusion of Data Governance

6 Min Read

Innovation and Analytics

6 Min Read

BI and Car Wrecks

2 Min Read
driverless cars data
Artificial IntelligenceIT

Automated Car Tech Is Here – But Do We Have The Data?

5 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?