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
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 2010 – Old Decade, New Decade
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 > 2010 – Old Decade, New Decade
Business IntelligenceExclusive

2010 – Old Decade, New Decade

GaryCokins
GaryCokins
6 Min Read
SHARE

 

Let’s look back at the last ten years of applying enterprise performance management methodologies, and then speculate about their next ten years.

THE PAST DECADE
The beginning of this past decade witnessed more experimentation with techniques like strategy maps, balanced scorecards, product and customer profitability analysis, and driver-based budgeting. Much of this was done with spreadsheets with increasing use of commercial software.

Undoubtedly a highlight of the past decade was three major business software vendors – SAP, Oracle, and IBM – acquiring main business intelligence and performance management vendors – Business Objects, Hyperion, and Cognos, respectively. The comparable software vendor SAS remained independent. To oversimplify, these acquisitions were heralded as a validation that business software must move up the food chain beyond basic collection and reporting of transactions to the higher value of analysis and decision support. Of course, consolidation is not integration (except in SAS’ case), but it is a preview of the future.

More Read

big data and stock investing
Big Data has Permanently Changed the State of Securities Trading
Business Rules, Decision Management and ASUG
Is Data Analytics Ushering in the Modern Age of Weather Forecasting?
EKU Notes Data Analytics Is Crucial For Health Awareness For Businesses
Version Control in Agile for AI Development Teams

 

Let’s look back at the last ten years of applying enterprise performance management methodologies, and then speculate about their next ten years.

THE PAST DECADE
The beginning of this past decade witnessed more experimentation with techniques like strategy maps, balanced scorecards, product and customer profitability analysis, and driver-based budgeting. Much of this was done with spreadsheets with increasing use of commercial software.

Undoubtedly a highlight of the past decade was three major business software vendors – SAP, Oracle, and IBM – acquiring main business intelligence and performance management vendors – Business Objects, Hyperion, and Cognos, respectively. The comparable software vendor SAS remained independent. To oversimplify, these acquisitions were heralded as a validation that business software must move up the food chain beyond basic collection and reporting of transactions to the higher value of analysis and decision support. Of course, consolidation is not integration (except in SAS’ case), but it is a preview of the future.

Another highlight was how the decade’s concluding global economic turndown accelerated the adoption rate of performance management methodologies. Organizations were pre-occupied with the exhilaration of daily activities during the good times. They kept postponing implementing these methods. Now they found available time, as well as the need and higher priority, to implement and integrate performance management methodologies.

THE NEXT DECADE
My crystal ball is clear. I will gaze into it to see the future.

Despite the steady and continual implementation of enterprise performance management methodologies by some companies, there appears to be a converging consensus by this field’s thought leaders – like Howard Dresner, Frank Buytendijk, and Jonathan Becher. This consensus is that the disappointingly slow adoption rate of these now proven and justified methods is explained much less by technical barriers and much more by social barriers like an organization’s culture and human nature’s resistance to change or in many cases risk taking. Going forward I predict subject matter experts will devote more energy to writing about behavioral change management than the mechanics of the methodologies. I recently wrote about this topic in my article True Confession – My Struggle with Two Loves.

A next decade wave that has already begun and is likely to reach ocean storm heights will be the expansion of enterprise performance management solutions to individually include analytics and business analytics to enhance their decision support. I describe this in my article Why Will Business Analytics Be the Next Competitive Edge?

Finally, as an extension of the ascension to the higher stage of performance management methods leveraging analytics will be emphasis on predictive analytics and their merger with risk management techniques. Belief and doubt are two sides of the same coin. As organizations pursue reductions in uncertainty and risk, they will gain competencies in forecasting and risk mitigation to maximize performance improvement.

BEYOND 2020
Ten years from now when I write a similar piece as this one, I will probably sum up my prediction in one word – optimization. By then almost all managers will be of an Xbox, PlayStation and Internet computer game age generation. Quantitative analysis will be second nature with them. They’ll have access to adjustable types and levels of resources to maximize the experience of selected customers. The objective of their “game” will be optimize what their organization does and how it does it as measured by stakeholders. Their stakeholders will include investors, regulators, employees, and the environment – people, planet, and profit.

There will always be winners and losers. I am hoping that environment sustainability will be a winner.

TAGGED:business analyticsenterprise performance managementperformance management methodologies
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI video surveilance
AI Video Surveillance for Safer Businesses
Artificial Intelligence Exclusive
Managed IT Services
Comparing Affordable Managed IT Services for Denver’s Remote Workforce
Exclusive IT
human verification tool for business
Human Verification Tools Help Make Smarter Data-Driven Decisions
Big Data Exclusive
ai in business
Recurring Revenue Strategies for the AI Business Era
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Analytics Blogger – Journalist or Personal Diary?

5 Min Read

It’s time to industrialize analytics

8 Min Read
Analytics

How can CIOs Build Business Value with Business Analytics?

8 Min Read

Words at Work: Defining “Business Analytics”

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.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
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.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?