The term “advanced analytics” is being over used by the business
intelligence (BI) vendors. The marketing literature seems to read like,
“Solve all your big hairy business problems; buy advanced analytics from
us!” In an article by Colin White
and Claudia Imhoff, they called this “term abuse” and set some
parameters on its proper usage.
An important insight was that it
is “more important to focus on the business benefits offer by a
technology” rather than focusing on the technology itself. That got me
to think about how one would properly define this term without
referencing the enabling technology. Here is a suggestion…
Definition
for Analytics
An analytic is defined as data analysis that changes
the behavior of the organization. Thus, the value of an analytic is the
degree to which it improves the performance of the organization. An
analytic is actionable, and its value is realization of the potential of
those actions. There could be analytics that have no effect on
performance or even have negative effect. For instance, an analytic
could distract persons from focusing on more relevant factors. Using
this definition, we can debate about analytics that have zero or
negative impacts, regardless of the sophistication of the enabling
technology.
Further, a valuable analytic (upon which a company
would appropriately spend funds and effort) is an analysis that does
change business behavior and where this change increases performance,
according to some relevant metric. We could then ask the following
question: If the analytic was turned off, would this interruption make a
difference in business processes? And, would this interruption affect
business performance? The ultimate in a valuable analytic would be the
case where a business would be forced to cease operations if the
analytic was not available.
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Colin White commented privately that it is important to distinguish
between the method of the analytic versus the result of the analytic.
Instead, this definition complements this distinction by focusing on the
impact on the organization, which is caused by the result and enabled
by the method. Also, Neil Raden wrote a
related
article in which he described the effectiveness of the analytic as
being dependent on these factors: simplicity, scalability and
performance. This is certainly true since any organizational impact will
be influenced by these factors.
Definition for Advanced
Analytics
We are on a roll, so let’s take the next step. An advanced
analytic is defined as an analytic that has a combination of these
qualities:
- Innovative:
The analytic is innovative by being the first of its kind, or not
obvious in its application, or it is counter-intuitive to current
business practices. The value to the customer is the potential
competitive advantage over others using less innovative analytics.
- Unique: The analytic is
unique because of a high barrier to entry to be replicated, possibly
embodying a very complex algorithm. The value to the customer is also
the potential competitive advantage.
- Transformative: The analytic is
transformative by providing a path to a different product/service,
creating a new market niche. In other words, the analytic stimulates
organization learning. The value to the customer is the eventual
transformation of the organization culture as it learns new business
practices.
Questions to Ask
Whenever we encounter a
product/service labeled as “advanced analytics,” I would suggest that
we ask the following questions of the vendor:
- How does
your analytic product/service make a difference in a business? Give
examples of the changes experienced in specific companies? By the way, I
have zero interest in knowing about your technology.
- Did
those changes generate business value for the company? Give examples of
performance improvements as measured by a specific metric.
- What
are the best business practices that are enabled by your analytic?
- Is your analytic innovative? First of its kind? Not obvious?
Counter-intuitive? Will I have a competitive advantage if I use it?
- Is your analytic unique because other vendors cannot replicate
its functions? If I purchase your product/service, will I have a
competitive edge over my competitors for a reasonable time? Have any of
my competitors purchased your analytic?
- Can your analytic be
transformative to my business. Thus, can I expect my company to move
into new market niches?
Please comment with your thoughts
about defining the term “advanced analytics.”
-
Richard
Hackathorn
Dr. Richard Hackathorn is founder and president of Bolder Technology,
Inc. He has more than thirty years of experience in the information
technology industry as a well-known industry analyst,
technology innovator and international educator. He has pioneered many
innovations in database management, decision support, client-server
computing, database connectivity, associative link
analysis, data warehousing, and web farming. Focus areas are: business
value of timely data, real-time business intelligence (BI), data
warehouse appliances, ethics of business intelligence and
globalization of BI.
Richard has published numerous articles in trade and academic
publications, presented regularly at leading industry conferences and
conducted professional seminars in eighteen countries. He writes
regularly for the BeyeNETWORK.com and has a channel for his blog,
articles and research studies. He is a member of the IBM Gold
Consultants since its inception, the Boulder BI Brain Trust and
the Independent
Analyst Platform.
Dr. Hackathorn has written three professional texts, entitled Enterprise
Database Connectivity, Using the Data Warehouse (with William H.
Inmon), and Web Farming for the Data
Warehouse.
Editor's note: More articles, resources, news and events are
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sure to visit today!
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