By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    Promising Benefits of Predictive Analytics in Asset Management
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: #24: Here’s a thought…
Share
Notification Show More
Latest News
ai digital marketing tools
Top Five AI-Driven Digital Marketing Tools in 2023
Artificial Intelligence
ai-generated content
Is AI-Generated Content a Net Positive for Businesses?
Artificial Intelligence
predictive analytics in dropshipping
Predictive Analytics Helps New Dropshipping Businesses Thrive
Predictive Analytics
cloud data security in 2023
Top Tools for Your Cloud Data Security Stack in 2023
Cloud Computing
become a data scientist
Boosting Your Chances for Landing a Job as a Data Scientist
Jobs
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > #24: Here’s a thought…
Uncategorized

#24: Here’s a thought…

brianfarnan1
Last updated: 2009/10/18 at 2:10 AM
brianfarnan1
6 Min Read
SHARE

An occasional series in which a review of recent posts on SmartData Collective reveals the following nuggets:

This or that?
By and large, I think marketers and market researchers underestimate the fundamental role of comparison and contrast in the way we make judgments about products. As Professor Tripsas makes clear, humans (consumers included) rely on categorization to understand the world. Looking at a new, discontinuous product, we’re likely to ask, is it this or that?

—David Bakken: The Challenge of Predicting Consumer Response to Innovation

Everything on the wiki
Individual end-users must use collaborative tools consistently throughout the project. This goes beyond updating their own availability or progress. If the organization uses SharePoint, for example, then it needs to be the epicenter of the project. Unless the material is confidential or politically sensitive, all project plans, test scripts, requirements, and training materials need to go on the wiki. Period.

—Phil Simon: New Tools, Same Problems on IT Projects

Shooting for standard data
Can you modify every operational system to have a clean, standard extract file on Day 1? Of course not. But as new systems are built, …

More Read

analyzing big data for its quality and value

Use this Strategic Approach to Maximize Your Data’s Value

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing
Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC
Quality Control Tips for Data Collection with Drone Surveying
3 Huge Reasons that Data Integrity is Absolutely Essential



An occasional series in which a review of recent posts on SmartData Collective reveals the following nuggets:

This or that?
By and large, I think marketers and market researchers underestimate the fundamental role of comparison and contrast in the way we make judgments about products. As Professor Tripsas makes clear, humans (consumers included) rely on categorization to understand the world. Looking at a new, discontinuous product, we’re likely to ask, is it this or that?

—David Bakken: The Challenge of Predicting Consumer Response to Innovation

Everything on the wiki
Individual end-users must use collaborative tools consistently throughout the project. This goes beyond updating their own availability or progress. If the organization uses SharePoint, for example, then it needs to be the epicenter of the project. Unless the material is confidential or politically sensitive, all project plans, test scripts, requirements, and training materials need to go on the wiki. Period.

—Phil Simon: New Tools, Same Problems on IT Projects

Shooting for standard data
Can you modify every operational system to have a clean, standard extract file on Day 1? Of course not. But as new systems are built, extracts should be built with standard data. For every operational system, a company can save hundreds or even thousands of hours every week in development and processing time. Think of what your BI team could do with the resulting time—and budget money!

—Evan Levy: Improving BI Development Efficiency: Standard Data Extracts

The elusive matter of greatness
Some observers like the author Jim Collins think great companies are all about culture, not a singularly great leader. Collin’s “built to last” case study companies included Circuit City and Fannie Mae, both of which have been catastrophic failures. His “portfolio” has underperformed to S&P. It is convenient to think you can take greatness and bottle it up and sell it in a book. In fact, life is unfair: there are geniuses and then there are the rest of us. When great leaders go away, so does the greatness of their companies.

—Chris Dixon: Man and superman

The business rules technology market
The market for business rule technology is fragmented and wide. Traditionally focused in application development, packaged applications, application integration and specialty apps like fraud or claims processing. Emerging sectors include Complex Event Processing (CEP), BPM, Intelligent Decision Management (what I call Decision Management) and governance/compliance.

—James Taylor: Business Rules Management—the misunderstood partner to process

Now about that energy bill
In most cases in the federal government, the agency CIO does not have to share in the energy bill. The CIO gets energy for free. So energy costs have never been a driver in CIO decisions. Now, even if CIOs do not have to pay for energy, they are going to be measured by energy efficiencies. This will give them more reason to modernize. By selecting newer multi-core servers and newer storage devices (like Solid State Disk [SSD]), dramatic energy efficiencies can be gained in ways that also dramatically increase performance. They will also be encouraged to virtualize more, and will also be encouraged to build in more collaborative technologies that let humans interact across great distances. All this will increase performance.

—Bob Gourley: Great IT change came with a  whisper not a bang

Let’s data share
Funding agencies are more focused on data managing efforts such creating institutional infrastructure and repositories rather than data sharing. The authors suggest that although such centralization efforts provides economy of scale, institutional memory, and reusable capability, in the long term they also find a substantial direct cost that may compete with research funding.

—Abhishek Tiwari: Convergence and confluence of data sharing efforts

TAGGED: data quality, great companies
brianfarnan1 October 18, 2009
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai digital marketing tools
Top Five AI-Driven Digital Marketing Tools in 2023
Artificial Intelligence
ai-generated content
Is AI-Generated Content a Net Positive for Businesses?
Artificial Intelligence
predictive analytics in dropshipping
Predictive Analytics Helps New Dropshipping Businesses Thrive
Predictive Analytics
cloud data security in 2023
Top Tools for Your Cloud Data Security Stack in 2023
Cloud Computing

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

Sign Up for Our Newsletter

Subscribe to our newsletter to get our newest articles instantly!

[mc4wp_form id=”1616″]

You Might also Like

analyzing big data for its quality and value
Big Data

Use this Strategic Approach to Maximize Your Data’s Value

6 Min Read
data lineage tool
Big Data

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

6 Min Read
data quality and role of analytics
Data Quality

Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC

8 Min Read
data collection with drone use
Data Collection

Quality Control Tips for Data Collection with Drone Surveying

9 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?