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As the foundation for building smart enterprises, business intelligence (BI)
has become the key to competing in the customer economy. It has become a key
enabler for creating smart enterprises--characterized by smart applications,
smart customer interactions, and smart decisions--by integrating major
enterprise-class applications such as ERP, CRM, supply chain management,
information portals, and enterprise-class finance and risk management
applications.
With a BI system in place and a company on track with
smart-enterprise thinking, executives can launch a campaign to work with IT
management to develop a smart enterprise, allowing it to do the following:
- Define and find low-risk, high-profit customers
- Determine which products produce the most profits
- Determine the lifetime value of each customer
- Find the company's most loyal customers
- Determine the relative effectiveness of all marketing programs
- Determine how quickly the company responds to customers, particularly via the Web and e-mail
- Analyze the types of postsale services that are most likely to increase repeat business
The use of BI is a means to addressing how to accomplish these tasks and then designing and deploying the
smart-enterprise applications that will enable a company to maintain competitive
advantage over its customers.
BI is pervasive in all major industries, with
specific missions and functions in each segment. Table 1, on page 2, identifies
some examples of the use of BI throughout various industries.
CUSTOMERS ARE THE KEY
Regardless of the industry, no customer interaction--including one-to-one
marketing, customer services, or sales, for example--can be intelligent without
the key concept of developing a single view of the customer. This view
encompasses sales, marketing support, and ERP. It entails all communications
channels, including Web, phone, fax, mail, and e-mail. Its purview crosses all
lines of business: loans, insurance, and various accounts. There is a record
with detailed transactional histories for each customer and often a view of an
entire household's relationship to the company. Smart enterprises must strive
for a single view of their customers and then work to develop real-time
personalization and interactive customer dialogue. This is the essence of smart
company customer management, and of business intelligence.
Most executives
have heard various general business mantras that address the critical importance
of maintaining good customer relationships:
- A 5 percent improvement in customer retention doubles profits.
- It costs more than 10 times as much to acquire a new customer as it does to retain an existing one.
- Corporations lose half of their customers every five years.
These and other common beliefs may not
address your specific customer retention or lifetime value issues, but they
assuredly speak to the business challenge that all enterprises face. In
addition, an estimated 85 percent of business information is unstructured,
spread around the organization in e-mails and documents locked in personal
computers, and not generally available to the enterprise.
Marketing to customers
is a multibillion-dollar business in the U.S. alone, and all companies worry
about the effectiveness of their marketing expenditures. Without a single view
of your customers, you can easily be wasting substantial percentages of your
marketing budgets while losing competitive advantage in your existing customer
base and failing to keep pace with your industry in attracting new customers.
Creating single customer views means optimizing processes related to product
marketing, engineering, manufacturing, and customer service. It's also
critical to be able to reuse customer knowledge; to generate leads, promotions,
and campaigns; to integrate ongoing sales force automation efforts; and to close
sales or deals. A customer feedback loop (as represented in Figure 1 on page 3)
enables smart enterprises to capture and share customer knowledge; get customer
feedback; retain customer knowledge; and reuse customer knowledge in many areas
of the business, such as new product design.
| Table 1. BI applications in key
industries. |
| Retailing |
Market basket analysis |
Financial Services |
Profitability |
| Customer buying behavior |
Fraud detection |
| Forecasting |
Cross-selling |
| |
Customer attrition |
| Telecommunications |
Customer attrition |
Database marketing |
| Fraud detection |
Householding |
| Profitability forecasting |
|
| |
Transportation |
Yield management |
| Manufacturing |
Process optimization |
Fleet scheduling |
| Productivity enhancement |
Crew Scheduling |
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THE IMPORTANCE OF ONE-TO-ONE CONTACT
Creating a single view of
customers and working to capture customer knowledge leads to more-efficient ways
of identifying your best customers and realizing some of their lifetime value to
your business. Once you've taken the step of creating a single view, you can
continue down this path by increasing the level of one-to-one customer contact.
The Internet and the World Wide Web--paradoxically, in that they encompass a
highly impersonal medium with which people often have intimate, personalized
contact--can serve ideally as a way for smart enterprises to communicate with
their customers. Rather than flooding customers and prospects with expensive
mass marketing campaigns, for example, smart enterprises invest in technologies
to increase the level of one-to-one customer contact. This all starts with
leveraging technology to build a dialogue and a learning relationship with
customers.
Although companies have multiple points of contact, or touchpoints,
with each customer, the information gleaned from each contact is kept in
isolated applications such as marketing, sales, and service databases that are
rarely incorporated into a single data system that merges historical data with
intelligent analytical models. As a result, many companies cannot easily
pinpoint which customers are profitable and which are not, which are likely to
default on a loan, or which are likely to respond to particular products or
promotional offers. More important, few companies can identify those customers
or prospects that have the greatest potential to become profitable customers
over time.
For CRM solutions to be used as an effective competitive strategy,
smart enterprises need to empower them with their BI systems as well as other
enterprise applications. Identifying target customers requires leveraging the
customer information hidden in traditional operational systems such as customer
order entry, ERP, and transaction processing.

An effective CRM strategy entails two-way,
asynchronous, and real-time communication with customers, leveraging Web and
personalized e-mail communications. This is the foundation for building a
learning relationship with customers. Also key are processes and systems for
integrating customer information from sales, marketing, and other systems into
a historical and cross-functional data warehouse--as well as workflow management
tools for automating business processes. Finally, real-time, secure, reliable
customer interaction requires integration of CRM solutions with operational and
analytical information systems. Such integration enables companies to
personalize every customer interaction, resulting in more opportunity for sales
and improved customer retention.
BUILDING THE SMART ENTERPRISE
Companies should
follow several common-sense principles in building business intelligence into
their enterprise. Many of the same underlying principles are also followed by
companies building CRM and ERP solutions. In fact, a CRM or ERP solution will be
ineffective without a BI component, and BI is of little value in a vacuum but,
rather, needs to be integrated into enterprise-class applications such as CRM.
So all companies that seek to become smarter should follow some basic
guidelines:
- Start small, plan for expansion, and ensure scalability.
Implement technology in phases to allow users ample time for training and
becoming familiar with new processes and tools.
- Perform cost justification
and return on investment (ROI) analysis. Select initial projects based on
availability of customer and product information and the anticipated ROI
resulting from the BI integration.
- Focus on the business, not the
technology. Define the company's customer relationship management goals.
Articulate how information will be used to support marketing, sales, and
customer service goals.
- Find the right business sponsor. Get senior
management on board and out front to endorse the technology-enabled BI strategy
and ensure its adoption throughout the organization.
- Put end users on the
implementation team. This assures development of CRM solutions with
cross-department functionality and practical usability.
- Form a
cross-functional committee involving departmental representatives who will use
or manage the BI-enabled applications.
- Align information technology
strategies with marketing, sales, and service strategies to support the
company's customer development and management objectives.
- Develop a solution with multiple communication channels based on customized customer preferences.
- Consolidate essential customer, sales force, and sales channel information in
a central data warehouse to support customer interaction operations (sales, call
centers, campaign management) and business intelligence operations (query and
reporting, customer segmentation, predictive modeling).
- Make it easy for customers to provide the information you need in order to serve them through
multiple interactive communication channels.
In contrast with traditional
enterprises, smart enterprises are always on, intelligently interacting with
customers across the world in real time via many channels of communication,
including the Internet and the World Wide Web. This intelligent and real-time
customer interaction requires massive processing power and continuous real-time
performance. All the components of any enterprise-class solution must work
together in a cohesive architecture that supports the company's plans for
immediate success and sustainable, long-term growth. Broad user accessibility,
scalability, flexibility, investment protection, and interoperability with other
business systems are critical.
In an ideal world, companies will integrate
business intelligence into the core enterprise information system architecture.
The reality is that many companies will need to find ways to modify and extend
legacy operational database systems to support BI initiatives. In either case,
working with a trusted team of experienced network business leaders can make it
easier to plan, develop, and deploy powerful BI solutions in the
shortest-possible time frame.
An apt analogy for BI involves the automobile.
Just as it makes no sense to build a beautiful, high-performance car but forget
to include a steering wheel, it would be unfortunate to construct a masterful
CRM or ERP solution without including a serious BI component. Imagine yourself
or your top people as the skilled, knowledgeable drivers of that completed car,
and you are on your way to the road that leads to the smart enterprise.
Cyrus
Golkar is a senior information technology professional specializing in
enterprise business solutions at Sun Microsystems. He is responsible for
incorporating his background in business intelligence, CRM, intranets, knowledge
management, and portals into Sun's enterprise solutions.
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