Analytical Thinking is a fortnightly newsletter from the UK Business Analytics team.
The purpose of the newsletter is to raise awareness about why analytics is a hot topic at the moment, where is analytics being referenced in the press and in what ways are organisations using analytics.
Business Analytics (Operational Research) is part of the Digital Transformation team in Capgemini Consulting UK
1. Analytical Thinking
Analytical Thinking 15 - A
Newsletter from the UK Business October 2012
Analytics Team
Introduction
Introduction
Welcome to the latest edition of Analytical Thinking, a newsletter from the UK Business Analytics
community providing snippets of insight on what people have been saying and how organisations have
been using our capability over the last 2 weeks.
Within the Big Data section of this edition, the first article will liaise with Analytical Thinking 14,
confirming the idea that Big Data and Business Intelligence are linked. You will also read on how Big
Data can help in other domains. The analytics section will show you how “Analytics is the basis for
competitive advantage going forward; understanding your data, getting insight, and acting upon it”.
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Big Data
Why Big Data And Business People And Big Data: Separately
Intelligence Are Like Good, Together Great
One Direction Innovation has evolved in
Following the last Analytical business. Specifically, 1997 to
Thinking edition, another article the present day is marked by a
linking Big Data and Business transition from technical
Intelligence. The article makes innovation to innovations in
the analogy between the rise of business models. Acquiring data
Big Data to the escalating popularity of sets and turning them into invaluable business
bothersome big-haired British Boy Band, „One assets is where the true innovation occurs. This
Direction‟. After defining Big Data, this article article argues that without efficient and cost
gives an analysis of its signification and role, and effective resources like outsourced labour forces,
covers its benefits arguing that “Improving Big Data companies would never achieve
efficiency in business operations is the number innovation in business models and consequently
one benefit sought from Big Data operations, value to modern consumers that crave
followed by attracting and retaining customers”. information.
See article See article
2. The Key To Keeping Customers? Big
Big Data, Analytics As A Service:
Data
Likely Boom On Deck
The power of Big Data only becomes
Data analytics and visualization
valuable if the customer sees the
“as a service” are likely to be
benefit as well. Analyzing data in
the vehicle that makes big data
real-time through machine learning
commoditized and consumable
and dynamic model construction
for organisations in the next two
allows technology companies to
or three years. This article
begin to predict what happens in customer
argues that big data is both a provider and a
environments and take action accordingly. This
consumer. It explains that data analysis as a
article explains why big data is crucial to finding
service is starting today, but forecasts that the
out what customers are actually thinking.
next two to three years will see the niche of
“analytics as a service” swell. Capgemini‟s UK See article
Business Analytics team have a go-to market
proposition on offering „analytics as a service‟.
See article
Analytics
Workforce Analytics Does Not
What Makes Analytics Wizards So
Require Big Data – Yet!
Good? They Do Everything
Most of the use cases for big
data seem to revolve around
Backwards
marketing, social media and Good analytics is a combination
customer service initiatives of art and science, where the
where unstructured data skilful analyst combines an
sources reveal big value. In this entire matrix of prior knowledge
article Ventana Research suggests that a prime with good judgment about
benefit of big data is in the ability to retain and authentically meaningful
analyze larger amounts of data and to increase qualitative differences. Like software developers
the speed of analysis. However, at present and computer scientists, there are a lot of self-
workforce analytics does not suffer from an styled big data analysts and “data scientists” out
overwhelming amount of data, but rather from there, most minimally competent and some
the inability to apply meaningful analytics to the adequate. This article describes the skills and
data organizations already have. Workforce competencies required to be a really good analyst
analytics is another Capgemini Business Analytics – what it terms an „Analytics Wizard‟.
proposition. See article
See article
Customer First: Using Analytics To Understand Policyholders
The use of analytics among property & casualty insurers has slowly evolved from
strictly a risk-centric approach to today including a focus on customer-centric data.
This article will explain why the goal of nearly every insurer is to be more customer-
centric and analytics is the source of competitive advantage.
See article
Miscellaneous