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
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Does Your BI Project Consider ‘Other Types of Data’?
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 Quality > Does Your BI Project Consider ‘Other Types of Data’?
Business IntelligenceData QualitySocial Data

Does Your BI Project Consider ‘Other Types of Data’?

Brett Stupakevich
Brett Stupakevich
4 Min Read
SHARE

unstructured data and BI Projects 300x198 photo (agile business intelligence)

Author: Amanda Brandon
Spotfire Blogging Team

unstructured data and BI Projects 300x198 photo (agile business intelligence)

More Read

Make Better Decisions
On-Demand (or SaaS) Index: Trade or Trend?
Big Data and Rise of Predictive Enterprise Solutions
MongoDB, BI and non-Relational Databases
Seven Misconceptions about Data Quality

Author: Amanda Brandon
Spotfire Blogging Team

Wayne Kernochan (@wkernochan) wrote this week at Enterprise Apps Today that IT buyers need to “look at the ‘other’ category to determine which BI vendors are flexible enough to keep up with fast-changing data sources.”

In essence, he’s talking about the “other types of data” that affect Business Intelligence projects. The other data comes from the social landscape (Facebook, texting, Tweets and other social networks/devices) as well as maps, videos, bar codes and photographs. Much of the data originates on mobile devices such as a smartphones or tablets.

 We discussed this last week in a blog post on four steps to success with Big Data. In this article, the IDC voice of Big Data, aka Benjamin Woo (@benwoony), recommends collecting this “semi-structured data” to give your company a competitive advantage. It’s a natural move in light of the growing social business.

And according to Kernochan’s article, CEOs are seeing “insight and intelligence” as essential to company success in the next five years. Can we really afford to ignore the other types of data?

Not really. But with as many as 80 percent of BI projects failing, how do we encompass the “other types of data” and build a “data-driven decision process?”

Kernochan suggests that while the “agile BI” process is one route, the other types of data are throwing monkey wrenches into well-planned implementations.

“The Other Category of information, not handled by existing data warehouses, is now beginning to determine corporate customer relationships,” Kernochan writes.

He says that BI buyers need to add some criteria to their shopping lists that include BI solutions that:

  • Allow the company to respond faster to customer requests and anticipate customer changes, aka “agile BI.”
  • Handle the unstructured and semi-structured data with flexibility. Kernochan suggests that the vendors have integrations with “Web sources supplying this data.”
  • Handle the future of “other data.” Kernochan says, “There will always be an important ‘other’ category of information you will need to seek out, no matter how much of it you cover today.”

Kernochan does a nice job of marrying the business and IT demands for data, especially in his description of the “getting close to the customer,” strategy we’re seeing in more and more companies.

The takeaways of dealing with the “other data” include:

  • Agile BI allows your organization to “respond more quickly to new information from the customer,” regardless of the source.
  • Realizing that the “other data” will continue to change as “customer needs and wants change over time.”
  • The “business environment” is changing at an increasingly rapid pace, and organizations need to change their business practices along with it. Kernochan says that we need to select “BI solutions that will continue to handle Other Categories of the future” to meet this changing landscape.

Where does Other Data fit in your company?

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security
ai for making lyric videos
How AI Is Revolutionizing Lyric Video Creation
Artificial Intelligence Exclusive
intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive
dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

How Are Business Analysts Like Teenagers on the Internet?

7 Min Read

Best One-on-One Conversations of 2011: Social CRM, Entrepreneurship and Connecting with Real Influencers

12 Min Read
artificial intelligence can benefit the finance industry
Artificial Intelligence

How Artificial Intelligence Can Benefit The Finance Industry

6 Min Read
Image
Best PracticesBig DataCloud ComputingCRMData VisualizationExclusiveITSoftware

Sales Pipeline Management Dos and Don’ts

4 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
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?