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
    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
    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
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Analytics or Information Management?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Analytics or Information Management?
Business Intelligence

Analytics or Information Management?

MIKE20
MIKE20
4 Min Read
SHARE

It looks like 2010 will be the year of Analytics with advertising from most of the major players and tie-ups between IBM and SPSS as well as Accenture and SAS just to name a couple of high profile examples.  Read a little deeper though and the real business activity gets a whole lot more interesting.

It’s true that most of the focus has recently been on analytical techniques, with books such as Competing on Analytics (Davenport and Harris) popularising terms like “Analytics Competitor”.  Improvements in computing power have also made complex analytics practical on almost every dataset.  However, what is really driving the trend?  Davenport and Harris themselves provide some of the evidence in their book when they identify that one of the most important factors in the take-up of analytics is the presence of a leader (typically the CEO) who believes in the power of analytics and data.  They use in their book a quote, original from W. Edwards Deming): “In god we trust, all others bring data”.

What does this all mean?  Fundamentally the pinnacle of extracting value from data is interpreting it, to do this you need very clever analytics.  To do the …

More Read

Interesing debate on business process and decisions
How Will We Make Decisions in the Future?
AI Technology Helps Facilitate Bitcoin Trading in Djibouti
“The biggest danger to cash-strapped U.S. auto companies is making incremental changes to their…”
RuleSpeak – some useful guidelines for writing rules

It looks like 2010 will be the year of Analytics with advertising from most of the major players and tie-ups between IBM and SPSS as well as Accenture and SAS just to name a couple of high profile examples.  Read a little deeper though and the real business activity gets a whole lot more interesting.

It’s true that most of the focus has recently been on analytical techniques, with books such as Competing on Analytics (Davenport and Harris) popularising terms like “Analytics Competitor”.  Improvements in computing power have also made complex analytics practical on almost every dataset.  However, what is really driving the trend?  Davenport and Harris themselves provide some of the evidence in their book when they identify that one of the most important factors in the take-up of analytics is the presence of a leader (typically the CEO) who believes in the power of analytics and data.  They use in their book a quote, original from W. Edwards Deming): “In god we trust, all others bring data”.

What does this all mean?  Fundamentally the pinnacle of extracting value from data is interpreting it, to do this you need very clever analytics.  To do the analytics, you need great data that is not biased by any management interpretation – that sounds a lot like Enterprise Data Management.  To leverage the analytics, you need an organisation that is committed to using information, learning from the past and applying it to the future – that sounds a lot like Information Management.

2010 is going to be very interesting with the hope that we can bring data, information and analytics to the fore of business thinking.

Link to original post

TAGGED:analyticsdata interpretationenterprise data managementinformation management
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Why Business Analytics is Important for Business — Now!

3 Min Read

A little math humor, and achieving clarity in explaining solutions

2 Min Read

The Future of Soccer is in its Analytics

7 Min Read

Big Data Without Integration Is Broken

7 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?