Archives For November 30, 1999

The Lone Piper

The Lone Piper

It has been just a month now since I was selected by IBM from a broad group of nominations to become a Champion for Information Management. From what I have learned there are <200 of us worldwide (smaller than the average InfoSphere sales team from IBM that I see call on some of my clients!). There are a number of categories for IBM Champions (http://www.ibm.com/developerworks/champion/) but perhaps I am a bit biased when I say that Information Management seems to one of the broadest and perhaps most difficult to speak to in a succinct fashion. What is Information Management anyways?

In a world where everything has been reduced to buzz words and catch phrases the intrinsic meaning of a subject like Information Management is lost amongst the chatter IMO. I like to define it as “The Discipline and Science of Managing Information over its entire lifecycle and treating it as an Asset to be leveraged by the entire Enterprise in which to create sustainable sources of Competitive Advantage”. There are many tomes written on Enterprise Information Management and most have a similar view to mine.

However, given the myopic focus on Big Data and the non-stop hype as to its virtues and disruptive capabilities I often feel like this Lone Piper who I came across this last week in Union Square (San Francisco). My music (i.e. message) may be well liked once you hear it, but it can be easily be lost in the din of hype (or traffic) around it.

I learned today that my preso for IOD 2013 was not selected so I can see that my role of Champion has limited clout. I was looking forward to espousing my belief that “Leveraging Information Governance can Achieve Strategic Business Outcomes”. I guess that I will have to shop around for another forum in which to “play my music”.

I am looking forward to seeing many of you later this month at the DGIQ Conference in San Diego. It is going to be the largest ever and no doubt most interesting as the maturing and benefits of Information Governance are really starting to manifest for many enterprises.

Stay tuned for the next installment of “My Year and an IBM Information Management Champion”

Yesterday, I attended The Economist’s “Ideas Economy -Information Forum 2013” in San Francisco focused on “Finding Value in Big Data”.

It was an interesting event on many levels, but got off to a strange start when Ken Cukier (Economist, FT & Foreign Affairs “big data guy”) lambasted all of the NaySayers who are now poo-pooing “Big Data” as a “Big Nothing”. I have predicted this for some time given the unprecedented Hype and lack of any coherent definition (much less stable one) as to what it means, but now see this event as a watershed moment when the Big Data plot really started to spiral out of control. By the end of the day many of the panelists wondered why they were there and were taking major exception with all of the hype around them. I applaud this very much as now perhaps we can start to have an Adult discussion going forward on Information Management.

Stay tuned for further posts on this subject.

I have early registered for IOD and am very much looking forward to meeting and interacting with all of  the other IBM Champions over the course of the event. IOD has become the Mecca for “All things InfoSphere” and this year will not be a disappointment. Hope to see all of you there this November.

Register Now at: http://www-01.ibm.com/software/data/2013-conference/

 

 

 

ImageImageImageImage

Come hear SRP’s (Salt River Project) story at the upcoming DGIQ Conference in San Diego

IBM Champions Program

One of the major enablers that IBM ‘s BLU offering provides via its In-Memory capability enablement to manage Predictive Model over their Lifecycle (Develop, Test, Deploy, Manage, Re-Test, Re-Deploy, etc.) in a single database using what I refer to as a “Memory Palace”.

“IBM’s BLU DB’s will allow Predictive Modelers to create their own “Memory Palaces” for tuning & testing models, algorithms, etc.”

ZD Webinar Registration Site

ImageI am at IOD once again. Unfortunately, it is in Las Vegas my least favorite place on the planet. However, as it has become so all consuming in size and time demands, I do have the small mercy of not having to leave the hotel during my entire stay here. I am thankful for this small kindness.

Over the course of this week, I will be Tweeting and Blogging on what I see as the fundamental shift away from technical gadgetry to Business Driven solutions for Information Governance, Analytics & Information Management. This shift will finally allow Business Leaders to effectively govern, leverage & manage their Information Assets from their vantage point with an eye on creating sustainable sources of Competitive Advantage while  managing within their Risk Appetites. I have been waiting for this paradigm shift to become manifest for quite a long time now and will be opining on what I see from IBM and its Partners during all of the KeyNotes, Industry Tracks and Product Presentations here at IOD.

For all of you Captains of Industry out there with a focus on Advanced Analytics & Business Informatics, I’ve  got your back and will report in with my assessments as to the strategic value of IBM’s new offerings and services to support them.

Until tomorrow.

In conjunction with a webinar that I am participating in on 2/29 ( ZD & IBM – “Get More from your Data: How Business Analytics Gives You a Competitive Advantage”), I am  posting  a series of four blogs entitled “Business Analytics and the Mid-Market“.

(To attend my webinar on 2/29, Register at: http://b2b.ziffdavis.com/webcasts/improve-performance-your-data-business-analytics/?tfso=10480 )

This is installment No. 3 in that series; ”

To recap from my previouspostings;

  • Business Analytics (BA) is “the use of data & analysis techniques to understand your business in a a way that facilitates better decision making”. BA is “fact-based decision-making in real-time based upon a 360 degree view of the business. It portends to offer the highest potential for competitive advantage of any strategic enabler (much less tactical or operational) available in the business leaders portfolio today, much less the future.
  • To achieve true competitive advantage one must embrace the notion of Business Analytics  in a holistic fashion in order to create “a pervasive culture of analysis and numerical literacy”. The 5 components of a holistic approach are; People, Processes, Technology, Culture & Data
  • To achieve competitive advantage (via differentiation), much less sustain it, Organizations must make Business Analytics a core competency and foster its deep usage across all domains of the business. Business Analytics must be made pervasive across the organization
  • Critical to the successful creation of competitive advantage is the role of the Business Analytics Strategy. It should encompass all domains of your business and support the 5 Pillars (People, Processes, Technology, Culture & Data) of a holistic approach to Business Analytics.

“How to Define & Create a Business Analytics Strategy for your Organization”

A successful Business Analytics Strategy is one that is fully-aligned and synergistic with both the Long-Term Strategy (3-5 years) and its companion Near-Term Strategic Goals & Outcomes (1-2 years). The Business Analytics Strategy cannot exist outside of these influences and should not be an after-thought in the Strategic Planning Process. In a recent MIT/IBM Study – “Analytics: The New Path to Value” ( http://www-935.ibm.com/services/us/gbs/thoughtleadership/ibv-embedding-analytics.html) 45%+ of the Top Performing organizations were using analytics-driven insights to guide & define their long-term strategies (to create competitive advantage). These same Top Performers used BA at a rate of 5x in comparison to lower performers i.e. pervasiveness. These statistics are a small subset  of the many that were uncovered in respect to how Top Performers differentiated themselves from their peers and the competition in numerous benchmark measures.

Business Analytics provides strategic enablement around the 3 major pillars of any long-term strategy*

  1. Using Innovation to Differentiate
  2. Revenue & Profit Growth
  3. Efficiency Enhancements (along with reducing inherent costs)
The key to developing your Business Analytics Strategy is to find the entry and inflection points in your strategy’s execution where BA can be embedded and used as either a catalyst or an accelerator for success. Every Organization will have different points along its strategic journey where BA can fill such roles, but typical ones would include;
  • Corporate Performance Management (Measuring, Monitoring and Optimizing key levers for Strategic Goal Attainment)
  • Product Research & Development (Design & Simulation, Quality Optimization & Zero Defect Designs)
  • Financial Management (Budget & Gross Margin Optimization, Cash & Investments & Risk Controls)
  • Customer Insights & Engagement (Advocacy, Brand & Awareness)
A successful Business Analytics Strategy fully aligns itself with all aspects (and aspirations) of the overall strategy for the Organization. Achieving successful outcomes from the BA Strategy process requires a partnership amongst all of the key stakeholders (Executives, Finance, Sales/Marketing, Engineering & Development, Manufacturing & Distribution, Support, etc.), the IT Services team (internal an/or external) and the organizations’ Trusted Analytics Partner. The value of having an Analytics Partner in this process is substantial and in the early stages of any organizations’ journey to Analytics Maturity they can make the difference between success and disappointment, much less outright failure.
Critical questions to ask/answer in your Business Analytics Strategic Planning exercise should include;
  • What are the measures of Strategic Success? How do we quantify them? Where and When should they be measured? What data sources & proxies are required?
  • How do we instrument the Value Chain and measure/monitor outcomes at critical junctures?
  • What predictors of success/behavior are critical to leverage?
  • What historical & real-time information sources are required?
  • What modeling methods are most appropriate and provide the deepest insights?
There are many others that you would want to consider given the breadth and scope of the organization’s strategy altogether. Your Trusted Analtyics Advisor should be well versed in your business vertical and know your organization intimately so as to guide/facilitate the Strategic Planning Process to a successful outcome.
In my final installment of this series (4 of 4), I will focus on “How to Choose your Trusted Analytics Advisor”.

* When one considers the fact for every $1 invested in Business Analytics there is an ROI of $10.66 (Nucleus Research Note L127) it would be hard to not include BA as a “strategic enabler” in any Organizations strategic planning endeavors.

In conjunction with a webinar that I am participating in on 2/29 ( ZD & IBM – “Get More from your Data: How Business Analytics Gives You a Competitive Advantage”), I am  posting  a series of four blogs entitled “Business Analytics and the Mid-Market“.

(To attend my webinar on 2/29, Register at: http://b2b.ziffdavis.com/webcasts/improve-performance-your-data-business-analytics/?tfso=10480 )

This is installment No. 2 in that series; ”

To recap from my last posting;

  • Business Analytics (BA) is “the use of data & analysis techniques to understand your business in a a way that facilitates better decision making”. BA is “fact-based decision-making in real-time based upon a 360 degree view of the business. It portends to offer the highest potential for competitive advantage of any strategic enabler (much less tactical or operational) available in the business leaders portfolio today, much less the future.
  • To achieve true competitive advantage one must embrace the notion of Business Analytics  in a holistic fashion in order to create “a pervasive culture of analysis and numerical literacy”. The 5 components of a holistic approach are; People, Processes, Technology, Culture & Data

Where to use Business Analytics (BA) to create sustainable sources Competitive Advantage”

Business Analytics must be used pervasively in order to achieve long-term Competitive Advantage. In most organizations, the central focus for BA has been around the domain of  “Customer”. This is clearly the most mature and comprehensive area of application of successful Business Analytics (there are now 30+ dimensions of Customer activity that can be measured, modeled and used to create a “predictive view of behavior,opportunity or risk”) and yet, sustainable Competitive Advantage is elusive. Many organizations under the auspices of the Strategic Marketing banner (CMO) have focused their entire energy only on this domain, leaving others untouched or given the short shrift. As one would imagine this singular focus is closely monitored by mimiced by the competition, thereby negating the means to sustain this source of Competitive Advantage. In many cases the data, the tools & platforms and the algorithms are all the same i.e. Salesforce.com creating little opportunity for differentiation at the end of the day.

To achieve differentiation, much less sustain it, Organizations must make Business Analytics a core competency and foster its deep usage across all domains of the business. This “pervasive approach” not only addresses all domains of the business equally, but creates a higher level of differentiation and operational excellence (both of which are great sources of Competitive Advantage) in aggregate. Business Leaders must strive for this “multiplier effect” as they plan to build their “”Predictive Enterprise” and assign/assess the necessary investments required to achieve it (the 5 Pillars of a holistic approach).

Critical business domains where Business Analytics can create Competitive Advantage appear to be straight-forward and self-evident, but warrant discussion nonetheless. Regardless of the size or type of your Mid-Market organization, Business Analytics can successfully be applied to the following domains with relative ease;

  • Manufacturing & Distribution
  • Sales & Marketing
  • Finance & Risk
  • Human Capital Management
  • IT Services
  • Corporate Management

In each of these domains there are mountains of data created during the normal course of business, much less available from 3rd parties. The critical path is “how to leverage it with Business Analytics to achieve sustainable competitive advantage”?

Critical to the successful creation of competitive advantage is the role of the Business Analytics Strategy. This strategy must be a subset of your overall Corporate Strategy, Vision & Roadmap. It should not be subordinated to a lesser role or criticality in the grand scheme of things.

A Business Analytics Strategy should encompass all domains of your business (as listed above), along with the 5 Pillars required to create a holistic “culture of analytics” in your organization altogether. It should take a “top-down” view and apply a  “bottoms-up” approach to building it out. In most cases, this is the time when each organization must begin (if not already in place) to choose a “strategic partner” for their long-term analytics journey. In the Mid-Market space, few organizations have the internal resources, expertise or depth of knowledge to create a BA Strategy on their own. Relying on a true strategic partner for these services is the most viable approach in almost all cases and enhances the “time to value” in achieving successful analytics outcome and ultimate competitive advantage.

In my next posting “Defining your Business Analytics Strategy” I will focus on the criteria one should use in choosing a BA strategic partner and what should be contained in the BA Strategy to assure success.