Description
Helping businesses turn information into action and business results.
Business intelligence
and predictive analytics
Helping businesses turn information into action and business results
2
In recent years, the role and
importance of data across
the enterprise have been
transformed beyond recognition.
Organizations in all industries
are seeing exponential growth
in data volumes and an
increasing demand to access
critical information via
enterprise systems.
As a result, the challenges of
managing ‘big data’ efficiently
and effectively have never
been greater. But the prize for
getting data management right
has also increased dramatically,
with the explosion in data
availability giving organizations
more information to work with,
and boosting their ability to
perform predictive modeling at
ever greater degrees of accuracy.
As we’ll highlight in this paper,
the Business Intelligence
Lifecycle provides a solid
foundation for predictive
analytics. We’ll also examine
some of the common scenarios
and questions that companies
need to take into account
when reviewing investments in
business intelligence (BI) and
analytics—particularly when
considering implementing the
Microsoft BI/analytics platform.
Helping businesses turn
information into action
and business results
3
Boosting returns in
turbulent times
The need to for businesses to use BI/
analytics to realize the opportunities in
‘big data’ is underlined by the findings
of a recent Avanade global survey
1
of
more than 540 C-level executives in 17
countries across North America, Europe
and Asia Pacific. The study, entitled The
Business Impact of Big Data, confirms
that the exponential grown in data and
the need to access critical information
are creating very real business challenges.
Some 56 percent of all respondents report
that they feel overwhelmed by the amount
of data their company manages. As well
as costing money, managing all this data
costs valuable time—with 62 percent
of the C-level interviewees in the study
saying they are ‘frequently’ interrupted by
irrelevant incoming data.
A key driver behind the rising importance
of data is companies’ pursuit of higher
returns on investment in today’s uncertain
business environment. Economic turbulence
is encouraging organizations to explore
new options to speed the time-to-value
of IT expenditure, such as adopting
diverse sourcing models, reducing legacy
equipment, consolidating suppliers and
eliminating applications. All these steps
demand accurate and well-managed data.
As data becomes ever more central to
decision-making, there is a rising need to
disseminate actionable information more
widely and at greater scale across the
enterprise. In the Avanade study
2
, 61 percent
of the executives we interviewed say they
want faster access to data. And to meet
this requirement, organizations need to
bring together information from a variety
of sources, and deliver it to an increasingly
diverse set of devices, including phones
and tablets.
Governance—and business
performance through BI
With sensitive corporate data being shared
and used more widely, data governance
is rising up the agenda. The need to
protect data from unauthorized access,
modification or deletion demands data
governance policies that enhance security
while simplifying regulatory compliance.
Organizations can only turn data into real,
sustainable business performance if they
understand and apply it in their decisions.
So, in parallel with the rising importance
and volumes of data, organizations are
becoming ever more dependent on using
analytics to generate insightful and
actionable Business Intelligence (BI).
Technology must meet the demand for
rapid, reliable BI throughout the enterprise.
Working together, Accenture, Avanade
and Microsoft are making this happen for
thousands of businesses worldwide.
The Business Intelligence
lifecycle…
A key framework for enabling companies to
harness the full power of data is the Business
Intelligence lifecycle (see Figure 1). By
creating an ongoing BI lifecycle encompassing
and integrating all the stages shown in the
chart, an organization can create higher
and more sustainable business value. It does
this by constantly evolving BI to provide
greater volumes of more accurate, timely
and actionable insight, thus enhancing its
ability to deal proactively with volatile
business requirements, and drive its
operations and growth more efficiently
and effectively.
Proof that getting the
foundations right helps to
drive high performance
Recent research by Accenture
reveals that high-performance IT
organizations are more evolved in
their information management
practices than their peers in other
organizations. For example, they are
more than twice as likely to have
developed target data architectures
and created effective BI and analytics
capabilities as well as data governance.
They provide their employees with
more access to the most detailed
and real-time information they need
to do their jobs. The most accessible,
granular and real-time customer
data, for example, is 80 percent
more accessible, more than twice
as granular and twice as likely to
be available in real time from high
performers versus from other IT
organizations.
Furthermore, investments in
information management technology
are delivering significantly more value
for high performers. More than
three-quarters of high performers said
that business analytics investments
are delivering 75 percent or more of
the expected value—nearly twice the
proportion of other IT organizations
giving that response. For example,
high performers have invested more
aggressively in data quality assurance
and master data management
technologies, giving them reliable,
consistent information about
customers, products, employees,
and suppliers.
Source: “Mind the Gap: Insights from Accenture’s
third global IT performance research study,”
Accenture, 2010 http://www.accenture.com/
Global/Research_and_Insights/By_Role/
HighPerformance_IT/
4
…provides a foundation for
predictive analytics
With a robust BI lifecycle in place, a
business gains a solid foundation for
turning information into management
action and real business results through
predictive analytics. This is a discipline that
fuses business and technology to support
better-informed, more forward-looking
decision-making (see “What is predictive
analytics?” at right).
Predictive analytics improves the
effectiveness of companies’ strategic,
operational and tactical decision-making
by helping them turn information into
technology-enabled business insights, insights
into actions, and actions into outcomes. It
can also support a collaborative decision-
making environment that incorporates
and integrates social networking, cloud,
mobility, and big data as well as legacy IT
environments. Accenture research
3
confirms
that advanced BI and analytics capabilities
are characteristics of high-performance IT
organizations across all industries (see
“Proof that getting the foundation right
helps to drive high performance” on p3).
Figure 1: the Business Intelligence Lifecycle
BI
Capabilities
What is predictive
analytics?
Predictive analytics is defined as the
extensive use of data, statistical and
quantitative analysis, explanatory
and predictive models and fact-
based management to drive business
decisions and actions.
BI Capabilities
BI includes the capabilities to provide historical, current and
predictive views of business operations and context, continually
adapting to the changing business needs through its evolution
lifecycle briefly explained here.
Data Sourcing
Understands current business processes and needs, and how
leveraging BI creates value. Knows current data sources, quality
and availability and issues and together with data owners works to
ensure best BI data sourcing.
Data Warehousing
Provides the basic BI platform and infrastructure for collecting,
processing and long-term storage of the enterprise data. Also in
charge of timely data delivery in a dynamic mixture of sets and
formats for various BI uses and purposes over time.
BI Usage
Uses data provided by the BI platform and possibly other sources
to create wide range of reports, analysis, queries, etc. and format
the results by using advanced visualization techniques for a final
delivery via the agreed BI services.
Services and Operations
Reliably delivers value to business users through BI delivery in
appropriate presentation forms, availability and functionality.
Includes BI operations, end user support, project support and BI
education as needed.
Assessment and Optimization
Ongoing evaluation and optimization of the BI strategy, capabilities
and services to best support current and future business strategy
and needs. A major input to the continuous BI development process.
5
Top challenges facing
BI solution implementations
Companies looking to adopt BI solutions
typically face a number of challenges. While
the severity and mix of challenges vary for
every individual business, there are several
common themes at both organizational and
functional levels.
Organizational challenges
The organizational challenges around BI can
be seen from the perspectives of the CIO,
business and data growth.
1. CIO perspective
One of the biggest gaps between CIOs’
capabilities today and their target
capabilities tomorrow is in their ability to
manage information effectively. Regulatory
and compliance changes ranging from
Sarbanes-Oxley to Basel II to the Health
Insurance Portability & Accountability Act
(HIPAA) mean C-level executives need to
rethink their entire approach to information
management. Nine out of ten executives
of large US companies believe they
need stronger information management
capabilities to enable their organizations to
thrive and grow.
2. Business perspective
According to IDC, information workers
spend 48 percent of their time searching
for and analyzing information, costing
organizations an average of US$28,000 per
worker per year. However, managers often
report that they frequently miss useful
information, and that only some of the
information they do receive turns out to be
of any value. What’s more, they also often
use and act on the wrong information.
3. Data growth perspective
Research by Gartner suggests that 800MB
of recorded information is produced per
person per year, and that data and semi-
structured data—including databases and
messaging applications—have been growing
at an annual rate of 30 percent to 50 percent.
It is also commonly estimated that, with
the explosion in social networking, society
now produces more data every six months
than has been produced in the whole of
human history. And 85 percent of the big
data enterprises produce is externally
influenced, scattered, neither secure nor
validated, and cannot be aggregated.
Functional challenges
From a functional perspective, data challenges
are arising all over the organization. Here
are some common problems and outcomes.
Integrated view of the customer
Problem: Inability to assemble and
integrate customer data from multiple
sources and channels.
Outcome: $ millions lost in services errors,
manual rework, and unrealized incremental
cross- and up-selling revenue.
Fraud and collections
Problem: Incorrect payee contact information.
Outcome: $ millions uncollected.
Operational planning and execution
Problem: Inability to aggregate, analyze and
project operational capacity cost effectively.
Outcome: $ millions over-invested
in underperforming or under-utilized
operational infrastructure and people.
Supply chain and purchasing
Problem: Lack of integrated buying
information per supplier and product.
Outcome: $ millions lost in missed
discounts that couldn’t be negotiated.
Corporate management and planning
Problem: Inability to agree on KPI figures;
different departments reporting different
values because of issues such as different
definitions of products, markets/channels, etc.
Outcome: $ millions lost through poor
product strategy and marketing.
Process automation
Problem: Inability to forward data across
processes such as Sales, Delivery and Billing
due to silos of applications with local data.
Outcome: $ millions spent entering the
same data multiple times, and manual data
reconciliation.
Regulatory requirements
Problem: Sarbanes-Oxley, Basel II, HIPAA etc.
Outcome: $ millions spent gaining
confidence in data.
Proactive Communications
Problem: Incorrect customer contact
information, and inability to proactively
notify service events.
Outcome: $ millions lost in customer
attrition and missed sales opportunities.
Succession
Problem: Baby boomers are retiring en
masse, taking significant systems knowledge
with them.
Outcome: $ millions spent on documentation
and transitions.
6
Business
Agility
Insight Generation
Predictive Analytics
Analytics-Enabled
Decision Making
Decision Process Optimization
Improve the speed and quality of decision making to
confirm that analytic-enabled insights are turned into
both actions and measurable outcomes that drive
higher performance
Analytical Competitive Strategy
Managing
Information
Value to the Enterprise
Improve business processes and insights with
information strategy, architecture and governance
to achieve a “single source of the truth” for all
information
Business
Intelligence
Improve business performance with appropriate,
actionable and timely data and information
Apply logic, business rules, algorithms, statistical
models and analysis combined with industry-focused
management consulting methods to develop insights
Key questions…
In light of these challenges, corporate
boards are asking several key questions
about how to manage and disseminate BI
in their businesses. These questions include:
• Do we have explicit strategies for data
and information management? How do we
know they are truly consistent with our
business goals?
• How do we make BI widely available to
decision-makers throughout the organization?
• Have there been times when crucial
decisions couldn’t be made because of a
lack of good information?
• Do our decision-makers spend too much
time analyzing the data and too little time
acting on insights gained from the data?
• How do we manage the increase in volume
and variety of data sources, including
unstructured information?
• Can we govern the secure retrieval,
acquisition, organization, maintenance and
regulatory compliance of information use?
• How do we control the cost and complexity
of managing increasing volumes of data
and content?
• What should we be doing next? What are
we not thinking about?
• How do we prepare for cloud applications?
• How can we continue to drive down IT
and process costs?
…and the optimal answer:
predictive analytics
Applying deep industry-specific insights
and proven models, Accenture and Avanade
work with Microsoft technology to help
clients answer all these questions and
more through sophisticated data analytics
capabilities. The high performance outcomes
we help these clients to achieve are powered
and delivered through our integrated
analytics approach, based on our framework
for supporting an analytical competitive
strategy, as depicted in Figure 2.
Accenture developed this framework to help
clients successfully implement analytics-
driven management decision-making, and
rapidly create value from information. The
framework incorporates a broad spectrum
of analytics activities—and regardless of
where an organization is on its analytics
journey, Accenture can help it gain control
of information and harness the actionable
intelligence that lies within.
Our approach starts from a bedrock of
best-practice information management. On
this solid foundation we then build layers of
Business Intelligence and insight generation,
blending statistical models and analysis
with industry understanding. This enables
us to help clients develop the topmost layer
of analytics-enabled decision-making,
turning insights into concrete actions and
measurable business outcomes.
Microsoft technology—tailored and
implemented by Accenture and Avanade—is
a proven and robust platform for maximizing
the business benefits from this integrated
approach. We’ll now explain why.
Figure 2: Accenture’s integrated approach to analytics
7
Why Microsoft provides an
ideal platform for BI and
predictive analytics solutions
A world-leading BI platform…
Independent third-party research confirms
that when it comes to offering a Business
Intelligence platform Microsoft is a world
leader. In its latest Magic Quadrant for
BI Platforms research
4
Gartner positions
Microsoft as a leader among business
intelligence platform providers.
Several factors have put Microsoft in the
leadership position it enjoys in the market
today, including the Microsoft platform’s
strong self-service and ad hoc functionality,
enabling actionable data insights and
discoveries accessible through intuitive and
familiar interfaces. These advantages are
compounded by the platform’s strong BI
capabilities, attractive packaging and pricing,
and ability to build on and integrate with
existing IT investments.
The Microsoft platform and the solutions it
supports combine low total cost of ownership
(TCO) alongside the ability to scale rapidly,
extending advanced BI capabilities rapidly
and seamlessly to a broad user base with
the interfaces and tools with which they
are already familiar. The Microsoft platform
offers the ability to create joined up data
capabilities between individual users and
enterprise levels without compromising
either flexibility for business users or overall
enterprise control.
For some years, Microsoft has been
executing a coordinated and unified BI
strategy—driving integration across its
business and product units to create a
seamless information management platform.
Microsoft is committed to growing its BI
investments, driving greater innovation in
areas such as visualization and cloud-based
data and to continue developing the strong
communities to support and grow the
availability of BI skills on the platform to
maintain Microsoft’s position as a leader.
…with Accenture and Avanade
as leading implementers
The optimal way for businesses in all
industries to harness and realize the benefits
of the market-leading Microsoft BI platform
is via the unique BI industry alliance of
Accenture, Avanade and Microsoft—widely
known as the “Power of Three Alliance”
(see Figure 3).
Figure 3: The “Power of Three Alliance”—three unique partners
Accenture Avanade Microsoft
• Deep industry knowledge and business
acumen
• Process, strategy and human performance
expertise
• Capacity to manage large transformational
programs implementing complex information
systems
• Specialization on the Microsoft platform
to deliver mission critical solutions and
managed services
• Industry and cross-industry solutions
• Engineered assets, reference architectures,
and delivery methods
• Provide of industry leading technology
innovation, software products and services
• Comprehensive enterprise platform
• Superior price, performance
• Commitment to research and development
• Deep product expertise and capacity to
put “skin in the game”
8
The 11-year alliance between Accenture,
Avanade and Microsoft has seen Avanade
expand rapidly at more than 20 percent
average yearly growth. It now has 60+
locations in 20+ countries worldwide, with
over 14,000 global professionals.
In terms of clients, Accenture/Avanade
had a portfolio of more than 250 unique
Microsoft-based clients in 2010, and a
track record in the past three years of
successfully delivering more than 100
intelligent warehousing projects and more
than 300 dashboard/scorecard/reporting
projects. In 2011 it was recognized as
Microsoft Partner of the Year in multiple
categories, and Avanade was among
Consulting Magazine’s Best Firms to Work
For 2010, 2009, 2008, 2007.
The Alliance is planning ongoing investments
to drive analytics in the marketplace, with
a dedicated BI team. It is #1 in Microsoft
certifications per employee and #1 in
Microsoft SharePoint certifications. Also,
Accenture/Avanade holds the highest
number of certifications of any provider in:
• Designing and implementing database
solutions with Microsoft SQL Server
• Designing and implementing business
intelligence solutions with Microsoft SQL
Server
• Application development with Microsoft
SharePoint technologies
Furthermore, Accenture/Avanade has 24
Microsoft Gold Competencies—the most
of any partner—and is the largest systems
implementer globally on Microsoft
technologies, with 2,200 dedicated BI experts.
Accenture and Avanade BI:
benefits and key differentiators
The Accenture/Avanade Alliance has
achieved this combination of rapid
growth, technology leadership and
impressive industry accolades through its
consistently outstanding delivery for its
clients. In combination, the Alliance’s key
BI offerings—listed in the accompanying
information panel—address all the major
aspects of organizations’ BI needs.
The Alliance has the proven ability to help
organizations capitalize on the strategic
value of data by improving the way they
integrate and manage information, while
also reducing implementation risks by using
proven data models.
The resulting solutions enable clients to
align operational decision-making with
corporate strategy, increase the delivery
capability of BI through optimization of
organization, methods and processes, and
maximize the value of existing BI investments.
Most importantly, organizations become
enabled and empowered to distribute
information effectively in an actionable
format to the right people at the right time.
Accenture and Avanade
business intelligence
offerings
BI Strategy
A comprehensive assessment to
evaluate current state, desired state
and BI roadmap.
Intelligent Warehousing
A proven set of logical designs,
comprehensive data models and
actionable metrics to fast track a
data warehouse implementation.
Performance Analytics
A comprehensive approach to plan,
forecast, monitor, analyze and
manage business performance.
BI as a Service
A world-class high performance
architecture built to manage high
data volumes and multiple clients
who have multiple analytical
applications running at the
same time.
9
This leading multinational
software company’s various
businesses and regions were
serviced by multiple BI vendors,
leading to high operating costs
and inconsistent levels of
service. Inconsistent processes
across regions and lines of
business also made it difficult
to share best practices.
The Alliance’s solution
The company selected Accenture
and Avanade to drive its BI thought
leadership and innovation after the
Alliance demonstrated the value
of its BI assets, toolkits and pre-
packaged capabilities to transform
the client’s BI landscape. The Alliance
partners’ deep commitment to the
Microsoft® BI stack, dedicated run
management experts and single global
team serving all lines of business
meant their solution offered the
best value for the money. Following
their appointment, Accenture and
Avanade now support BI development,
analysis and run management
activities for the client.
Business results
The business outcomes for the client
include a significant reduction
in application support costs and
continuous improvement through
automation, self-service and
platform simplification. The client
now experiences improved, high-
quality, cost-effective BI services
through a managed service model,
which has demonstrated the agility
to flex with changing business
environment. The clients also has
a clear BI roadmap to showcase
innovation internally and externally
to potential customers.
Accenture and Avanade BI solutions in action:
Global leader in software, services and solutions
10
How will SQL Server 2012
change the landscape?
The release of Microsoft SQL Server 2012—
formerly known by codename Denali—will
significantly expand the BI landscape on
the Microsoft platform and open up new
opportunities for clients. Among other
innovations, the new platform incorporates
the BI Semantic Model (BISM), and has
new capabilities around master data
management and data quality services.
SQL 2012 will provide better performance
and greater scalability, and will be able
to work off tabular data models or multi-
dimensional data models within BISM.
A particularly significant step forward
is PowerView, which is a new tool for
advanced immersive data visualization and
self-service reporting, and will enable ad-
hoc queries from a wide range of devices.
Five top tips for BI and
analytics implementations
The Accenture/Avanade/Microsoft Alliance’s
wealth of experience with many hundreds
of BI projects for a fast-growing global
client base confirms that an integrated,
enterprise-wide approach is the key to a
successful BI/analytics implementation.
Our five top tips for success are:
1. Apply best practice data management
techniques—including de-duping and
anonymizing where necessary.
2. Use rigorous data integration and
governance to link siloed data sources
together.
3. Create a single, integrated view of fact
across the enterprise.
4. Implement best-in-class capabilities such
as insight generation, analytic modeling
and aggregation on top of the data.
5. Apply best practice around data access
and consumption—including providing
users with easy and flexible access through
reporting or self-service capabilities, and
applying robust authentication and security
to ensure each level of users only see the
data they are authorized to see.
Today, data is at the core of every
organization—and is its most powerful
source of competitive advantage. Together,
Accenture, Avanade and Microsoft can
enable your business to unleash that
power through world-leading BI/analytics
solutions, and target the resulting insights
to drive better, faster decisions and higher
business results.
The data you need is out there, across and
beyond your business. It’s time to put it
to work. With Accenture, Avanade and
Microsoft.
11
Notes
1
Source: Avanade Global Survey: The
Business Impact of Big Data, November 2010.
2
Source: Avanade Global Survey: The
Business Impact of Big Data, November 2010.
3
“Mind the Gap: Insights from Accenture’s
third global IT performance research study,”
Accenture, 2010. http://www.accenture.com/
Global/Research_and_Insights/By_Role/
HighPerformance_IT/CIOResearch/mind-
the-gap.htm.
4
Magic Quadrant for Business Intelligence
Platforms, Analyst(s): John Hagerty, Rita
L. Sallam, James Richardson ,Published: 6
February 2012, Report number: G00225500.
Copyright © 2012 Accenture
All rights reserved.
Accenture, its logo, and
High Performance Delivered
are trademarks of Accenture. ACC12-0461/ 9-1542
About Accenture
Accenture is a global management
consulting, technology services and
outsourcing company, with more than
244,000 people serving clients in more
than 120 countries. Combining unparalleled
experience, comprehensive capabilities
across all industries and business functions,
and extensive research on the world’s
most successful companies, Accenture
collaborates with clients to help them
become high-performance businesses and
governments. The company generated net
revenues of US$25.5 billion for the fiscal
year ended Aug. 31, 2011. Its home page is
www.accenture.com.
doc_165330304.pdf
Helping businesses turn information into action and business results.
Business intelligence
and predictive analytics
Helping businesses turn information into action and business results
2
In recent years, the role and
importance of data across
the enterprise have been
transformed beyond recognition.
Organizations in all industries
are seeing exponential growth
in data volumes and an
increasing demand to access
critical information via
enterprise systems.
As a result, the challenges of
managing ‘big data’ efficiently
and effectively have never
been greater. But the prize for
getting data management right
has also increased dramatically,
with the explosion in data
availability giving organizations
more information to work with,
and boosting their ability to
perform predictive modeling at
ever greater degrees of accuracy.
As we’ll highlight in this paper,
the Business Intelligence
Lifecycle provides a solid
foundation for predictive
analytics. We’ll also examine
some of the common scenarios
and questions that companies
need to take into account
when reviewing investments in
business intelligence (BI) and
analytics—particularly when
considering implementing the
Microsoft BI/analytics platform.
Helping businesses turn
information into action
and business results
3
Boosting returns in
turbulent times
The need to for businesses to use BI/
analytics to realize the opportunities in
‘big data’ is underlined by the findings
of a recent Avanade global survey
1
of
more than 540 C-level executives in 17
countries across North America, Europe
and Asia Pacific. The study, entitled The
Business Impact of Big Data, confirms
that the exponential grown in data and
the need to access critical information
are creating very real business challenges.
Some 56 percent of all respondents report
that they feel overwhelmed by the amount
of data their company manages. As well
as costing money, managing all this data
costs valuable time—with 62 percent
of the C-level interviewees in the study
saying they are ‘frequently’ interrupted by
irrelevant incoming data.
A key driver behind the rising importance
of data is companies’ pursuit of higher
returns on investment in today’s uncertain
business environment. Economic turbulence
is encouraging organizations to explore
new options to speed the time-to-value
of IT expenditure, such as adopting
diverse sourcing models, reducing legacy
equipment, consolidating suppliers and
eliminating applications. All these steps
demand accurate and well-managed data.
As data becomes ever more central to
decision-making, there is a rising need to
disseminate actionable information more
widely and at greater scale across the
enterprise. In the Avanade study
2
, 61 percent
of the executives we interviewed say they
want faster access to data. And to meet
this requirement, organizations need to
bring together information from a variety
of sources, and deliver it to an increasingly
diverse set of devices, including phones
and tablets.
Governance—and business
performance through BI
With sensitive corporate data being shared
and used more widely, data governance
is rising up the agenda. The need to
protect data from unauthorized access,
modification or deletion demands data
governance policies that enhance security
while simplifying regulatory compliance.
Organizations can only turn data into real,
sustainable business performance if they
understand and apply it in their decisions.
So, in parallel with the rising importance
and volumes of data, organizations are
becoming ever more dependent on using
analytics to generate insightful and
actionable Business Intelligence (BI).
Technology must meet the demand for
rapid, reliable BI throughout the enterprise.
Working together, Accenture, Avanade
and Microsoft are making this happen for
thousands of businesses worldwide.
The Business Intelligence
lifecycle…
A key framework for enabling companies to
harness the full power of data is the Business
Intelligence lifecycle (see Figure 1). By
creating an ongoing BI lifecycle encompassing
and integrating all the stages shown in the
chart, an organization can create higher
and more sustainable business value. It does
this by constantly evolving BI to provide
greater volumes of more accurate, timely
and actionable insight, thus enhancing its
ability to deal proactively with volatile
business requirements, and drive its
operations and growth more efficiently
and effectively.
Proof that getting the
foundations right helps to
drive high performance
Recent research by Accenture
reveals that high-performance IT
organizations are more evolved in
their information management
practices than their peers in other
organizations. For example, they are
more than twice as likely to have
developed target data architectures
and created effective BI and analytics
capabilities as well as data governance.
They provide their employees with
more access to the most detailed
and real-time information they need
to do their jobs. The most accessible,
granular and real-time customer
data, for example, is 80 percent
more accessible, more than twice
as granular and twice as likely to
be available in real time from high
performers versus from other IT
organizations.
Furthermore, investments in
information management technology
are delivering significantly more value
for high performers. More than
three-quarters of high performers said
that business analytics investments
are delivering 75 percent or more of
the expected value—nearly twice the
proportion of other IT organizations
giving that response. For example,
high performers have invested more
aggressively in data quality assurance
and master data management
technologies, giving them reliable,
consistent information about
customers, products, employees,
and suppliers.
Source: “Mind the Gap: Insights from Accenture’s
third global IT performance research study,”
Accenture, 2010 http://www.accenture.com/
Global/Research_and_Insights/By_Role/
HighPerformance_IT/
4
…provides a foundation for
predictive analytics
With a robust BI lifecycle in place, a
business gains a solid foundation for
turning information into management
action and real business results through
predictive analytics. This is a discipline that
fuses business and technology to support
better-informed, more forward-looking
decision-making (see “What is predictive
analytics?” at right).
Predictive analytics improves the
effectiveness of companies’ strategic,
operational and tactical decision-making
by helping them turn information into
technology-enabled business insights, insights
into actions, and actions into outcomes. It
can also support a collaborative decision-
making environment that incorporates
and integrates social networking, cloud,
mobility, and big data as well as legacy IT
environments. Accenture research
3
confirms
that advanced BI and analytics capabilities
are characteristics of high-performance IT
organizations across all industries (see
“Proof that getting the foundation right
helps to drive high performance” on p3).
Figure 1: the Business Intelligence Lifecycle
BI
Capabilities
What is predictive
analytics?
Predictive analytics is defined as the
extensive use of data, statistical and
quantitative analysis, explanatory
and predictive models and fact-
based management to drive business
decisions and actions.
BI Capabilities
BI includes the capabilities to provide historical, current and
predictive views of business operations and context, continually
adapting to the changing business needs through its evolution
lifecycle briefly explained here.
Data Sourcing
Understands current business processes and needs, and how
leveraging BI creates value. Knows current data sources, quality
and availability and issues and together with data owners works to
ensure best BI data sourcing.
Data Warehousing
Provides the basic BI platform and infrastructure for collecting,
processing and long-term storage of the enterprise data. Also in
charge of timely data delivery in a dynamic mixture of sets and
formats for various BI uses and purposes over time.
BI Usage
Uses data provided by the BI platform and possibly other sources
to create wide range of reports, analysis, queries, etc. and format
the results by using advanced visualization techniques for a final
delivery via the agreed BI services.
Services and Operations
Reliably delivers value to business users through BI delivery in
appropriate presentation forms, availability and functionality.
Includes BI operations, end user support, project support and BI
education as needed.
Assessment and Optimization
Ongoing evaluation and optimization of the BI strategy, capabilities
and services to best support current and future business strategy
and needs. A major input to the continuous BI development process.
5
Top challenges facing
BI solution implementations
Companies looking to adopt BI solutions
typically face a number of challenges. While
the severity and mix of challenges vary for
every individual business, there are several
common themes at both organizational and
functional levels.
Organizational challenges
The organizational challenges around BI can
be seen from the perspectives of the CIO,
business and data growth.
1. CIO perspective
One of the biggest gaps between CIOs’
capabilities today and their target
capabilities tomorrow is in their ability to
manage information effectively. Regulatory
and compliance changes ranging from
Sarbanes-Oxley to Basel II to the Health
Insurance Portability & Accountability Act
(HIPAA) mean C-level executives need to
rethink their entire approach to information
management. Nine out of ten executives
of large US companies believe they
need stronger information management
capabilities to enable their organizations to
thrive and grow.
2. Business perspective
According to IDC, information workers
spend 48 percent of their time searching
for and analyzing information, costing
organizations an average of US$28,000 per
worker per year. However, managers often
report that they frequently miss useful
information, and that only some of the
information they do receive turns out to be
of any value. What’s more, they also often
use and act on the wrong information.
3. Data growth perspective
Research by Gartner suggests that 800MB
of recorded information is produced per
person per year, and that data and semi-
structured data—including databases and
messaging applications—have been growing
at an annual rate of 30 percent to 50 percent.
It is also commonly estimated that, with
the explosion in social networking, society
now produces more data every six months
than has been produced in the whole of
human history. And 85 percent of the big
data enterprises produce is externally
influenced, scattered, neither secure nor
validated, and cannot be aggregated.
Functional challenges
From a functional perspective, data challenges
are arising all over the organization. Here
are some common problems and outcomes.
Integrated view of the customer
Problem: Inability to assemble and
integrate customer data from multiple
sources and channels.
Outcome: $ millions lost in services errors,
manual rework, and unrealized incremental
cross- and up-selling revenue.
Fraud and collections
Problem: Incorrect payee contact information.
Outcome: $ millions uncollected.
Operational planning and execution
Problem: Inability to aggregate, analyze and
project operational capacity cost effectively.
Outcome: $ millions over-invested
in underperforming or under-utilized
operational infrastructure and people.
Supply chain and purchasing
Problem: Lack of integrated buying
information per supplier and product.
Outcome: $ millions lost in missed
discounts that couldn’t be negotiated.
Corporate management and planning
Problem: Inability to agree on KPI figures;
different departments reporting different
values because of issues such as different
definitions of products, markets/channels, etc.
Outcome: $ millions lost through poor
product strategy and marketing.
Process automation
Problem: Inability to forward data across
processes such as Sales, Delivery and Billing
due to silos of applications with local data.
Outcome: $ millions spent entering the
same data multiple times, and manual data
reconciliation.
Regulatory requirements
Problem: Sarbanes-Oxley, Basel II, HIPAA etc.
Outcome: $ millions spent gaining
confidence in data.
Proactive Communications
Problem: Incorrect customer contact
information, and inability to proactively
notify service events.
Outcome: $ millions lost in customer
attrition and missed sales opportunities.
Succession
Problem: Baby boomers are retiring en
masse, taking significant systems knowledge
with them.
Outcome: $ millions spent on documentation
and transitions.
6
Business
Agility
Insight Generation
Predictive Analytics
Analytics-Enabled
Decision Making
Decision Process Optimization
Improve the speed and quality of decision making to
confirm that analytic-enabled insights are turned into
both actions and measurable outcomes that drive
higher performance
Analytical Competitive Strategy
Managing
Information
Value to the Enterprise
Improve business processes and insights with
information strategy, architecture and governance
to achieve a “single source of the truth” for all
information
Business
Intelligence
Improve business performance with appropriate,
actionable and timely data and information
Apply logic, business rules, algorithms, statistical
models and analysis combined with industry-focused
management consulting methods to develop insights
Key questions…
In light of these challenges, corporate
boards are asking several key questions
about how to manage and disseminate BI
in their businesses. These questions include:
• Do we have explicit strategies for data
and information management? How do we
know they are truly consistent with our
business goals?
• How do we make BI widely available to
decision-makers throughout the organization?
• Have there been times when crucial
decisions couldn’t be made because of a
lack of good information?
• Do our decision-makers spend too much
time analyzing the data and too little time
acting on insights gained from the data?
• How do we manage the increase in volume
and variety of data sources, including
unstructured information?
• Can we govern the secure retrieval,
acquisition, organization, maintenance and
regulatory compliance of information use?
• How do we control the cost and complexity
of managing increasing volumes of data
and content?
• What should we be doing next? What are
we not thinking about?
• How do we prepare for cloud applications?
• How can we continue to drive down IT
and process costs?
…and the optimal answer:
predictive analytics
Applying deep industry-specific insights
and proven models, Accenture and Avanade
work with Microsoft technology to help
clients answer all these questions and
more through sophisticated data analytics
capabilities. The high performance outcomes
we help these clients to achieve are powered
and delivered through our integrated
analytics approach, based on our framework
for supporting an analytical competitive
strategy, as depicted in Figure 2.
Accenture developed this framework to help
clients successfully implement analytics-
driven management decision-making, and
rapidly create value from information. The
framework incorporates a broad spectrum
of analytics activities—and regardless of
where an organization is on its analytics
journey, Accenture can help it gain control
of information and harness the actionable
intelligence that lies within.
Our approach starts from a bedrock of
best-practice information management. On
this solid foundation we then build layers of
Business Intelligence and insight generation,
blending statistical models and analysis
with industry understanding. This enables
us to help clients develop the topmost layer
of analytics-enabled decision-making,
turning insights into concrete actions and
measurable business outcomes.
Microsoft technology—tailored and
implemented by Accenture and Avanade—is
a proven and robust platform for maximizing
the business benefits from this integrated
approach. We’ll now explain why.
Figure 2: Accenture’s integrated approach to analytics
7
Why Microsoft provides an
ideal platform for BI and
predictive analytics solutions
A world-leading BI platform…
Independent third-party research confirms
that when it comes to offering a Business
Intelligence platform Microsoft is a world
leader. In its latest Magic Quadrant for
BI Platforms research
4
Gartner positions
Microsoft as a leader among business
intelligence platform providers.
Several factors have put Microsoft in the
leadership position it enjoys in the market
today, including the Microsoft platform’s
strong self-service and ad hoc functionality,
enabling actionable data insights and
discoveries accessible through intuitive and
familiar interfaces. These advantages are
compounded by the platform’s strong BI
capabilities, attractive packaging and pricing,
and ability to build on and integrate with
existing IT investments.
The Microsoft platform and the solutions it
supports combine low total cost of ownership
(TCO) alongside the ability to scale rapidly,
extending advanced BI capabilities rapidly
and seamlessly to a broad user base with
the interfaces and tools with which they
are already familiar. The Microsoft platform
offers the ability to create joined up data
capabilities between individual users and
enterprise levels without compromising
either flexibility for business users or overall
enterprise control.
For some years, Microsoft has been
executing a coordinated and unified BI
strategy—driving integration across its
business and product units to create a
seamless information management platform.
Microsoft is committed to growing its BI
investments, driving greater innovation in
areas such as visualization and cloud-based
data and to continue developing the strong
communities to support and grow the
availability of BI skills on the platform to
maintain Microsoft’s position as a leader.
…with Accenture and Avanade
as leading implementers
The optimal way for businesses in all
industries to harness and realize the benefits
of the market-leading Microsoft BI platform
is via the unique BI industry alliance of
Accenture, Avanade and Microsoft—widely
known as the “Power of Three Alliance”
(see Figure 3).
Figure 3: The “Power of Three Alliance”—three unique partners
Accenture Avanade Microsoft
• Deep industry knowledge and business
acumen
• Process, strategy and human performance
expertise
• Capacity to manage large transformational
programs implementing complex information
systems
• Specialization on the Microsoft platform
to deliver mission critical solutions and
managed services
• Industry and cross-industry solutions
• Engineered assets, reference architectures,
and delivery methods
• Provide of industry leading technology
innovation, software products and services
• Comprehensive enterprise platform
• Superior price, performance
• Commitment to research and development
• Deep product expertise and capacity to
put “skin in the game”
8
The 11-year alliance between Accenture,
Avanade and Microsoft has seen Avanade
expand rapidly at more than 20 percent
average yearly growth. It now has 60+
locations in 20+ countries worldwide, with
over 14,000 global professionals.
In terms of clients, Accenture/Avanade
had a portfolio of more than 250 unique
Microsoft-based clients in 2010, and a
track record in the past three years of
successfully delivering more than 100
intelligent warehousing projects and more
than 300 dashboard/scorecard/reporting
projects. In 2011 it was recognized as
Microsoft Partner of the Year in multiple
categories, and Avanade was among
Consulting Magazine’s Best Firms to Work
For 2010, 2009, 2008, 2007.
The Alliance is planning ongoing investments
to drive analytics in the marketplace, with
a dedicated BI team. It is #1 in Microsoft
certifications per employee and #1 in
Microsoft SharePoint certifications. Also,
Accenture/Avanade holds the highest
number of certifications of any provider in:
• Designing and implementing database
solutions with Microsoft SQL Server
• Designing and implementing business
intelligence solutions with Microsoft SQL
Server
• Application development with Microsoft
SharePoint technologies
Furthermore, Accenture/Avanade has 24
Microsoft Gold Competencies—the most
of any partner—and is the largest systems
implementer globally on Microsoft
technologies, with 2,200 dedicated BI experts.
Accenture and Avanade BI:
benefits and key differentiators
The Accenture/Avanade Alliance has
achieved this combination of rapid
growth, technology leadership and
impressive industry accolades through its
consistently outstanding delivery for its
clients. In combination, the Alliance’s key
BI offerings—listed in the accompanying
information panel—address all the major
aspects of organizations’ BI needs.
The Alliance has the proven ability to help
organizations capitalize on the strategic
value of data by improving the way they
integrate and manage information, while
also reducing implementation risks by using
proven data models.
The resulting solutions enable clients to
align operational decision-making with
corporate strategy, increase the delivery
capability of BI through optimization of
organization, methods and processes, and
maximize the value of existing BI investments.
Most importantly, organizations become
enabled and empowered to distribute
information effectively in an actionable
format to the right people at the right time.
Accenture and Avanade
business intelligence
offerings
BI Strategy
A comprehensive assessment to
evaluate current state, desired state
and BI roadmap.
Intelligent Warehousing
A proven set of logical designs,
comprehensive data models and
actionable metrics to fast track a
data warehouse implementation.
Performance Analytics
A comprehensive approach to plan,
forecast, monitor, analyze and
manage business performance.
BI as a Service
A world-class high performance
architecture built to manage high
data volumes and multiple clients
who have multiple analytical
applications running at the
same time.
9
This leading multinational
software company’s various
businesses and regions were
serviced by multiple BI vendors,
leading to high operating costs
and inconsistent levels of
service. Inconsistent processes
across regions and lines of
business also made it difficult
to share best practices.
The Alliance’s solution
The company selected Accenture
and Avanade to drive its BI thought
leadership and innovation after the
Alliance demonstrated the value
of its BI assets, toolkits and pre-
packaged capabilities to transform
the client’s BI landscape. The Alliance
partners’ deep commitment to the
Microsoft® BI stack, dedicated run
management experts and single global
team serving all lines of business
meant their solution offered the
best value for the money. Following
their appointment, Accenture and
Avanade now support BI development,
analysis and run management
activities for the client.
Business results
The business outcomes for the client
include a significant reduction
in application support costs and
continuous improvement through
automation, self-service and
platform simplification. The client
now experiences improved, high-
quality, cost-effective BI services
through a managed service model,
which has demonstrated the agility
to flex with changing business
environment. The clients also has
a clear BI roadmap to showcase
innovation internally and externally
to potential customers.
Accenture and Avanade BI solutions in action:
Global leader in software, services and solutions
10
How will SQL Server 2012
change the landscape?
The release of Microsoft SQL Server 2012—
formerly known by codename Denali—will
significantly expand the BI landscape on
the Microsoft platform and open up new
opportunities for clients. Among other
innovations, the new platform incorporates
the BI Semantic Model (BISM), and has
new capabilities around master data
management and data quality services.
SQL 2012 will provide better performance
and greater scalability, and will be able
to work off tabular data models or multi-
dimensional data models within BISM.
A particularly significant step forward
is PowerView, which is a new tool for
advanced immersive data visualization and
self-service reporting, and will enable ad-
hoc queries from a wide range of devices.
Five top tips for BI and
analytics implementations
The Accenture/Avanade/Microsoft Alliance’s
wealth of experience with many hundreds
of BI projects for a fast-growing global
client base confirms that an integrated,
enterprise-wide approach is the key to a
successful BI/analytics implementation.
Our five top tips for success are:
1. Apply best practice data management
techniques—including de-duping and
anonymizing where necessary.
2. Use rigorous data integration and
governance to link siloed data sources
together.
3. Create a single, integrated view of fact
across the enterprise.
4. Implement best-in-class capabilities such
as insight generation, analytic modeling
and aggregation on top of the data.
5. Apply best practice around data access
and consumption—including providing
users with easy and flexible access through
reporting or self-service capabilities, and
applying robust authentication and security
to ensure each level of users only see the
data they are authorized to see.
Today, data is at the core of every
organization—and is its most powerful
source of competitive advantage. Together,
Accenture, Avanade and Microsoft can
enable your business to unleash that
power through world-leading BI/analytics
solutions, and target the resulting insights
to drive better, faster decisions and higher
business results.
The data you need is out there, across and
beyond your business. It’s time to put it
to work. With Accenture, Avanade and
Microsoft.
11
Notes
1
Source: Avanade Global Survey: The
Business Impact of Big Data, November 2010.
2
Source: Avanade Global Survey: The
Business Impact of Big Data, November 2010.
3
“Mind the Gap: Insights from Accenture’s
third global IT performance research study,”
Accenture, 2010. http://www.accenture.com/
Global/Research_and_Insights/By_Role/
HighPerformance_IT/CIOResearch/mind-
the-gap.htm.
4
Magic Quadrant for Business Intelligence
Platforms, Analyst(s): John Hagerty, Rita
L. Sallam, James Richardson ,Published: 6
February 2012, Report number: G00225500.
Copyright © 2012 Accenture
All rights reserved.
Accenture, its logo, and
High Performance Delivered
are trademarks of Accenture. ACC12-0461/ 9-1542
About Accenture
Accenture is a global management
consulting, technology services and
outsourcing company, with more than
244,000 people serving clients in more
than 120 countries. Combining unparalleled
experience, comprehensive capabilities
across all industries and business functions,
and extensive research on the world’s
most successful companies, Accenture
collaborates with clients to help them
become high-performance businesses and
governments. The company generated net
revenues of US$25.5 billion for the fiscal
year ended Aug. 31, 2011. Its home page is
www.accenture.com.
doc_165330304.pdf