This post is part of the Analytics@IBM blog series from this program's leader Julie Severance. Julie will take us through this effort to build a smarter enterprise with a front row seat. In this particular post she will discuss what Analytics@IBM is, its core goals and key design principles.
Here's Julie's post:
"Analytics is the silver thread that weaves through the future of everything we do.” Ginni Rometty, Chairman, President and CEO of IBM
Analytics@IBM: What is it? In this constantly connected world, change and the ability to transform is a prerequisite not only for progress, but also for the survival in the shifting, modern global economy. IBM is no different and its own analytics transformation has been years in the making. In fact, over the last few years IBM has been focusing on progressing its own adoption of analytics by cultivating a culture dedicated to building new skills, knowledge and programs for business analytics.
I want to create a dialog with this blog series to take you through IBM's compelling journey of building a smarter enterprise. I will also be sharing details about the different programs, best practices and use case examples across IBM. Let me start by giving you a little bit of history and mission of the Analytics@IBM program.
Analytics@IBM: Goals and Design Principles
IBM knows from its own research around analytics (Analytics: The New Path to Value), a joint MIT Sloan Management Review and IBM Institute of Business Value study) that organizational obstacles and silos, not data or financial concerns, inhibit broader adoption of business analytics.
The top 3 factors derailing or limiting the success business analytics programs can achieve:
lack of understanding on how to use analytics to improve business outcomes;
insufficient management bandwidth due to competing priorities; and,
lack of skills internally in the lines of business.
With these in mind, immediately after the 2008 acquisition of Cognos, the IBM business analytics brand created the Analytics@IBM program to propagate in-house transformation with analytics. The founding goals and design principles objectives were simple:
Establish IBM as a world class business intelligence, performance management and risk showcase - “eat our own cooking”;
Put analytics quicker into the hands of IBM employees while building skills; and,
See analytics in action, cultivated in IBM's backyard improving product quality and capability by collaborating with the business.
Invest enough business analytics segment resources to ensure IBM success;
Establish frameworks/build programs to share best practices around the ACE “Analytics Centers of Excellence” and AQ “Analytics Quotient”; and,
Implement with proper IBM subject matter guidance and product strategy.
The foundation of Analytics@IBM has been supported by the executive leadership team here at IBM and is driven by a team comprised of experts from multiple business functions. Having the right team is paramount to the success of an initiative of this order. We have been working closely with many of the business teams and their leaders across various functions, building strategic partnerships to help succeed with the Analytics@IBM program using the ACE approach.
I will delve deeper into the foundation in my future posts and talk through the success we have realized with analytics. Stay tuned for updates on how we went about implementing the world’s largest installation of business analytics solutions…….
Julie Severance is the leader for Analytics@IBM program at IBM and has 20+ years of consulting experience as a trusted business and technology advisor. Fifteen of those years are centered on extensive business intelligence and performance management consulting and thought leadership. Julie has held a wide variety of roles in global consulting, support, operations and management.
(This post's blog author Julie Severance's Twitter handle)