By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Business Analytics – Close to Your Heart
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Culture/Leadership > Business Analytics – Close to Your Heart
AnalyticsBusiness IntelligenceCulture/LeadershipDecision Management

Business Analytics – Close to Your Heart

Barry Devlin
Last updated: 2012/11/27 at 7:54 AM
Barry Devlin
4 Min Read
Image
SHARE

ImageWell, perhaps not close to your heart, but certainly close to the heartbeat of your business.  This is a key message of an IBM Virtual Event debuting at 10:30 a.m. EST in the U.S. and 10:30 a.m. GMT / 11:30 a.m. CET in Europe on November 28, where I’ll talk about modern mission-critical Business Analytics.

ImageWell, perhaps not close to your heart, but certainly close to the heartbeat of your business.  This is a key message of an IBM Virtual Event debuting at 10:30 a.m. EST in the U.S. and 10:30 a.m. GMT / 11:30 a.m. CET in Europe on November 28, where I’ll talk about modern mission-critical Business Analytics.

For many businesses, embedding operational analytics in the heart of their OLTP (online transaction processing) applications is a key initiative for 2013. The leaders, of course, have already begun.  The old operational data store (ODS) and operational BI were precursors as far back as the mid-90s, attempting to make faster decisions about operational matters.  These initiatives have had their success stories, but they have been limited by a number of factors, both analytical and operational.  The analytical issue has often been the lack of sufficient quantities of transaction and event data to effective mine.  The operational aspect was the ability to get close enough to the near real-time responses required by business users and customers.  

Both of these issues are being addressed with today’s technologies.  The enormous growth of business on the Web in the past decade has meant that customer behavior can be analyzed through clickstreams within websites and linkages across different websites, call centers and more. Such information, analyzed in combination with transaction data, allows retailers to more effectively cross-sell, hotels to increase room occupancy and telcos to reduce churn.  But, for this blog, and the above event, the more interesting point relates to how to close the real-time gap.

More Read

ai low code frameworks

AI Can Help Accelerate Development with Low-Code Frameworks

Data Analytics Helps Marketers Make the Most of Instagram Stories
What to Know Before Recruiting an Analyst to Handle Company Data
Tackling Bias in AI Translation: A Data Perspective
How AI is Boosting the Customer Support Game

Traditionally, business intelligence operates on data that has been extracted from the operational environment and analytic outcomes applied back to that environment afterwards. In short, the data is brought to the analytics.  This approach introduces significant delays.  An obvious solution would be to bring the analytics to the data; however, prior technology did not easily allow that.  I discuss this in terms of the mainframe, System z, environment, but the principle applies elsewhere too.

It is an oft-forgotten fact that 70% of all data transactions in the banking, insurance, retail, telecommunications, utilities and government industries still occur on the System z platform, due to its performance, cost, reliability and security characteristics.  The inclusion of the Netezza-powered IBM DB2 Analytic Appliance within the System z complex creates a system with a dual personality -transactional performance of the original environment combined with the analytic performance of Netezza required for integrated operational analytics.  With the inclusion of SPSS Predictive Analytics on Linux and Cognos on the zOS and Linux platforms, the need to move data out of the System z environment is largely eliminated.  More details are to be had in the Virtual Event where IBM’s Dan Wardman and David Jeffries will fill in the technical details. See also my White Paper, “Integrating Analytics into the Operational Fabric of Your Business, A combined platform for optimizing analytics and operations”.

Irrespective of platform, it is becoming increasingly clear that when it comes to operational decisions, they have to come from the heart rather than the head!

 
 

Barry Devlin November 27, 2012
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

smart home data
7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money
Big Data
ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence
data Analytics instagram stories
Data Analytics Helps Marketers Make the Most of Instagram Stories
Analytics
data breaches
How Hospital Security Breaches Devastate Local Communities
Policy and Governance

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

ai low code frameworks
Artificial Intelligence

AI Can Help Accelerate Development with Low-Code Frameworks

12 Min Read
data Analytics instagram stories
Analytics

Data Analytics Helps Marketers Make the Most of Instagram Stories

15 Min Read
analyst,women,looking,at,kpi,data,on,computer,screen
Analytics

What to Know Before Recruiting an Analyst to Handle Company Data

6 Min Read
data perspective
Big Data

Tackling Bias in AI Translation: A Data Perspective

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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?