business intelligence and mining customer data

49
Business Intelligence and Mining Customer Data Capitalizing On Your Customers Data

Upload: tommy96

Post on 20-May-2015

376 views

Category:

Documents


2 download

TRANSCRIPT

Page 1: Business Intelligence and Mining Customer Data

Business Intelligence and Mining Customer Data

Capitalizing On Your Customers Data

Page 2: Business Intelligence and Mining Customer Data

Agenda

• Introduction of Team Members

• BI and OLAP – What does it mean and How are they related?

• Value Proposition to the ITA community and your clients

• Interface – Mining your own Client Relationships

• BI3 – Using Business Intelligence with every day data

• Questions and Answers

Page 3: Business Intelligence and Mining Customer Data

Objectives

• Understanding Business Intelligence Technologies

• Value to ITA to Mine Clients and Clients Data

• Increase Billable Dollars by Providing Analytical Analysis

• Increase Profitability of Clients with Proactive Data Analysis

• Increase Your Profitability by Mining your own Data and Relationships

• A Tool to Provide Benchmarking Capabilities to Specific Industries

Page 4: Business Intelligence and Mining Customer Data

Speaker Introduction• Jerry Grady

• Managing Director- Follmer Rudzewicz Advisors

• Managing Director - Centerprise Information Solutions, the technology group of Follmer Rudzewicz Advisors

• CPA Background• 17 years managing an Accounting/Tax group

• Leader and Developer of the CIS group for Detroit• Dual Degreed - AIS

Page 5: Business Intelligence and Mining Customer Data

Speaker Introduction• Warren Richman

• CEO – BI3.net

• 20 years in IT field

• Director and VAR Channel Leader

• Developed Business and Strategy Plans for Start-up technology firms

Page 6: Business Intelligence and Mining Customer Data

Speaker Introduction

• Alex Brunner

• Founding Partner and Past President BI3.net

• Developed worldwide Distribution channels for Kodak

• Invented and developed the world's first add-on retrofit microfilm scanner

• Holder of the prestigious 1996 AIIM (Association of Information and Image management) Pioneer Award

Page 7: Business Intelligence and Mining Customer Data

Speaker Introduction

• Bill Pintsak

• Regional Sales Manager – Interface Software

• 8+ Years of experience in the Software Industry

• 5+ Years in the Professional Services Industry Rick Klau

• President – Interface Software

Page 8: Business Intelligence and Mining Customer Data

Why Consultants Lose Customers1. Our Consultant just doesn't treat me right

2. Ignore thy customer

3. Fail to cooperate with the customer

4. Let the Owner/CEO contact lapse

5. Don’t keep the customer informed

6. Assume the Customer is a technicians

7. Use as training ground for new team

Page 9: Business Intelligence and Mining Customer Data

Why Consultants Lose Customers, A Rockefeller Corporation Study 1% The customer dies

3% The customer moves away

5% The customer has a friend

9% The customer is lost to a competitor

14% The customer is dissatisfied with the service

68% The customer believes you 68% The customer believes you don’t caredon’t care about them about them

Page 10: Business Intelligence and Mining Customer Data

Secure and Retain your Customers Interpersonal Skills – You must have them

Ability to explain procedures and processes in terms your customer understands

Interest in the customer

Willingness to give advice

Demonstrate an outcome that the client achieves, you have transformed the business to value added and provided true value to the client.

Page 11: Business Intelligence and Mining Customer Data

What OLAP Isn’t

Not Another Ron Eagle Acronym

Observing and Leveraging Accounting Process

Objectively Leveraging Account Payables

One Last Putt

Page 12: Business Intelligence and Mining Customer Data

OLAP Is :

On

Line

Analytical

Processing

Your gateway to Business Intelligence

Page 13: Business Intelligence and Mining Customer Data

Advantages of Business Intelligence Efficient access to Information, not just data

Turns management data previously reviewed in reports into “hands-on” slice & dice “cubes”

Allows the analyst to view the information the way they think and allows them to easily change their minds.

No more waiting for IT to build reports

Access to previously unused data

Capitalize on your Data to build Relationships

Page 14: Business Intelligence and Mining Customer Data

Advantages of Business Intelligence Understand what’s driving your business and provide

analysis to why you may not be growing

“Speed of Thought Analysis” in an On Line Analytical Processing environment

Ability to deliver result oriented experiences to the client.

Ability to Increase your value and your billable hours/dollars to the Client

Ability to mine your entire contact database to increase the closing ratio – Utilize the relationships that exist in your organization

Page 15: Business Intelligence and Mining Customer Data

Advantages of Business Intelligence Trendsetter Companies Prove the Point

Business Intelligence is Key to Their Success

73% Show Increase in Cash flow

73% Show Increase in Company Sales

71% Show Improved Accounts Receivable

Great opportunity to help segment new business practice to your business

Capitalize on your current contact management system

Page 16: Business Intelligence and Mining Customer Data

The Working Model

Data is extracted from your Clients’ databases on a scheduled basis and “Transform” it into Multi-Dimensional Information Cubes.

The Consultant and the client access cubes with a standard browser.

Your current Contact system notifies those with the relationship of your contact and increases your efficiencies

It’s painless and effortless to the client and your team.

Page 17: Business Intelligence and Mining Customer Data

The Working Model – Benefits to Industry Wholesale Distributors

Inventory Turns Sales Analysis per item Sales Analysis per region Receivables Turns Receivables DSO

Retail Environment Sales per Square Feet Sales per labor Hours Sales Mix Analysis

Page 18: Business Intelligence and Mining Customer Data

The Working Model – Benefits to Industry Service Industry

Labor Efficiency Reporting Labor Utilization Reporting Trend Analysis for Billable Hours Labor Hours per Region/Service Area Billings per Region/Manager/Leader Billing analysis per Client/Service Code

Page 19: Business Intelligence and Mining Customer Data

The Working Model – Benefits to Industry

Manufacturing Machine Time Analysis Overhead and Burden Analysis Trend Analysis for Billable Hours Labor Efficiency Reporting Inventory Turns WIP Analysis

Page 20: Business Intelligence and Mining Customer Data

The Working Model – Benefits to Industry

Think outside the Box in other Industries: Healthcare

Doctors/Specialist Dentists Hospitals Urgent Care Facilities

Bank / Financial Institutions

Page 21: Business Intelligence and Mining Customer Data

The Working Model – Not Just Accounting Data

Some of the highest ROI opportunities exist with data from other areas of the business:

Sales Marketing Operations Planning

Building Business Intelligence solutions that address these areas provides at the clients fingertips the ability to analyze the lift of the last campaign, the results of T & E spending, or easily determine DSO trends.

Page 22: Business Intelligence and Mining Customer Data

Value to ITA Members

Very affordable hosted OLAP Solution that allow even the smallest companies to take advantage of the power of OLAP once reserved for only the big boys

A true Business Intelligence tool, WEB enabled, all you need is your browser

Scaleable and Extendable as needs increase the ROI increase for you and your client

We all use a contact or Email server so extending its capabilities is easy

Page 23: Business Intelligence and Mining Customer Data

Value to ITA Members

Increase your engagement revenues and improve your profits by offering Business Intelligence to your clients

Low Risk, High Return

Leverage your Relationships throughout your organization, to increase your close ratios

Provide for additional consulting opportunities within customers by helping them understand and leverage the power of Business Intelligence

Page 24: Business Intelligence and Mining Customer Data

Take it from the experts

As Gartner says….

“Now is the time for all enterprises to raise Business Intelligence to the level of a strategic initiative.”

Page 25: Business Intelligence and Mining Customer Data

Mining Customer and Relationship Data

Interface Software

Page 26: Business Intelligence and Mining Customer Data

Product Companies

ServiceCompanies

• Professional• Marketing

Communication

Client orCustomerInteraction:

Types ofCompanies:

• Web & E-mail• Sales Force• Call Center• Field Service• Channel Partners• Marketing Communications

Opportunity forProfessional Services CRM

BusinessDevelopmentProcess

Unique &Opportunistic

Structured & Repetitive

Page 27: Business Intelligence and Mining Customer Data

Common CRM Requirements • Centralized and Shareable Repository

of Customer/Client/Prospect Information

• Capture and Track All Customer/Client/Prospect Interactions

• “360 Degree” View of Customer/Client/Prospect

• Applications that Leverage the Customer/Client/Prospect Knowledge Base

• Tools to Mine and Distribute Data

• Data Quality

Customers or Client

Company

Page 28: Business Intelligence and Mining Customer Data

Companies

Professionals

Professional Services CRM Requirements

“Who Has a Relationship

with this Prospective

Client?”

“Who Else Do We Know at

the Client’s Company?”

ProfessionalServices Firm

• Professionals• Other Firm Employees

• Management Consulting• Accounting• Investment Banking• Legal• Engineering/Architecture• Associations

Page 29: Business Intelligence and Mining Customer Data

Complex Relationships

People

Professionals

“Who Knows Whom™?”

“Who Are Our Contacts in

this Industry?”

“Who Are the Client’s

Professional

Relationships?”• Professionals• Other Firm Employees

• Clients• Former Clients• Prospects• Competitors• Professional

Services• Law Firms• Accounting Firms• Venture Firms• Etc.

• Vendors

Companies

ProfessionalServices Firm

• Management Consulting• Accounting• Investment Banking• Legal• Engineering/Architecture• Associations

• Clients• Prospects• Alumni• Referral Sources• Experts

Page 30: Business Intelligence and Mining Customer Data

Relationship Intelligence Data Model

People

ProfessionalServices Firm

Professionals

Projects

• Deals• Transactions• Engagements• Matters• Projects

“Have We Ever Done This Type of

Deal Before?”

“Who Were the Key Players in That Engagement?”

“What Transactions Did We Perform for This Client

Last Year?”

• Management Consulting• Accounting• Investment Banking• Legal• Other PSO’s

• Clients• Former Clients• Competitors• Professional

Services• Law Firms• Accounting Firms• Venture Firms• Etc.

• Vendors

• Clients• Prospects• Alumni• Referral Sources• Experts

Companies

Page 31: Business Intelligence and Mining Customer Data

RelationshipIntelligence

PersonalKnowledge

OrganizationalKnowledge

ExternalKnowledge

Relationship Intelligence• A Firm-wide Asset That Reveals the

Unique and Complex Connections Between People, Companies, Relationships, Experience and Expertise

• Key CRM-enabling Technology for Professional Services Organizations

• Critical Component to Any Knowledge Management Strategy

Page 32: Business Intelligence and Mining Customer Data

Four Processes Comprising Relationship Intelligence System

• Relationship Discovery

• Relationship Management

• Client Services Automation

• Knowledge Delivery

To Aggregate, Manage & Deliver Relationship Intelligence Content:

Page 33: Business Intelligence and Mining Customer Data

• PDAs• Outlook / Notes• Personal ExperienceProfessional

Enterprise

External

• Accounting• Human Resources• Legacy• Other

• Content Providers• External Sources

Relationship Discovery

• Automated Processes for Discovering Content and Relationships in Existing Systems

– Delivers Access to Previously Unattainable Information & Expertise

– Reuses Captured Data and Transforms it into Relationship Intelligence

Page 34: Business Intelligence and Mining Customer Data

Relationship Management

• Delivers Single Instance of a Contact

• Aggregates Enterprise Data and Provides Context

• Applies BusinessRules

• Provide Security• Processes• Information

Changes

JoshSmith

JoshuaSmith

J.L.Smith

Multiple Sources…

Joshua L.Smith

- Cleansing

- Association

- DuplicateMerge

Page 35: Business Intelligence and Mining Customer Data

Client Services Automation

ReferralTracking

Client/ProspectProfiling

RFPResponses

EventManagement

Queries, Data Mining,

Reporting

FollowThrough Mailing Lists

• Unique Functionality for High Value Low Volume Business Development

• Rich Tools for Relationship-Based Marketing Automation

ListManagement

Page 36: Business Intelligence and Mining Customer Data

Knowledge Delivery

InterActionWeb Client

Portals, Intranets and Extranets

Internally DevelopedApplications

PDA Devices

Microsoft Outlook or Lotus Notes

Reports

• Delivers Critical Relationship Intelligence Content to Firm’s Knowledge Management Platform of Choice

• Designed to Complement a Firm’s Portal, Intranet and Extranet Strategies

Page 37: Business Intelligence and Mining Customer Data

Key Challenges• Firm Culture

• How does the firm compensate professionals for business generation?

• How does the firm measure/track client-related expenses?• How does the firm track business development efforts?

• Management Commitment• Has Senior Management communicated commitment to the

rest of the firm?• Processes

• Has the firm built processes that ensure professional participation and deliver value?

Page 38: Business Intelligence and Mining Customer Data

Interface

A real live Relationship Demonstration

Page 39: Business Intelligence and Mining Customer Data

Business Intelligence – OLAP’ing the Data

BI3.net

Page 40: Business Intelligence and Mining Customer Data

AccountingBased

Reporting

The World According to GAAP

Financial AccountingInformation

GeneralLedger

Copyright: Resource Management Systems, Inc.©2002. Use by permission only.

Page 41: Business Intelligence and Mining Customer Data

Operational Reporting

FinancialRecords

Compliance

POS

CRM

Manufacturing

The Client Business Operations

EconomicData

Credit/Risk

Copyright: Resource Management Systems, Inc.©2002. Use by permission only

Page 42: Business Intelligence and Mining Customer Data

The World According to Business Intelligence

Brand salesby zip code

by store

A/R aging by store

by zip code

Customer returns by product byplant by defect

Business Intelligence

FromBi3®

Business Intelligence

FromBi3®

Copyright: Resource Management Systems, Inc.©2002. Use by permission only

CRM CompliancePOS

FinancialRecords Manufacturing

EconomicData

Credit/Risk

DataTransformation

OperationalAnalysis

Page 43: Business Intelligence and Mining Customer Data

BI for Everyone

• “Traditional BI is too expensive!”

• Cost limits acceptance by medium and small

businesses and corporate business units.

• The ASP model overcomes the cost constraint

without sacrificing functionality.

• Bi3 is the premier BI ASP

Page 44: Business Intelligence and Mining Customer Data

Conventional BI Solutions

Global 2000 Market

$5+ Billion

Bi3.net

ASP HOSTED SOLUTION

SME Market

$25 + Billion

$25,000-250,0001-6 Months

$25,000-150,0001-3 Months

$25,000-100,0001-3 Months

$50,000-500,0001-3 Months

$75,000-300,000

$50,000-250,000

Legacy Interface“ETL”

Hardware PurchaseInstallation and Training

On-Going MaintenanceSupport Fees and Personnel

Software Purchase &Customization

TOTALS

Application Development

Study and Analysis

$275,000-1,550,000First Year

$50,000-250,000 /Year

Pre-Defined “On the Shelf”Custom - $5,000-25,000

N/A

Pre-Defined OutputFixed Fee - $5,000-25,000

$10,000-25,0001-4 Weeks

N/A1 Day Training $1500-2500

ASP Subscription Fees$3,000-25,000 / Year

$29,500-100,000First Year

$3,000-$25,000 / Year

Implementing Business IntelligenceConventional vs. Bi3.net

Page 45: Business Intelligence and Mining Customer Data

Bi3.net Demo

Page 46: Business Intelligence and Mining Customer Data

BI from Bi3 Summary

• BI from Bi3 saves considerable monies both in business

process analysis and report creation.

• BI from Bi3 over the web is an ideal consulting tool.

• BI from Bi3 does not require a large upfront

investment – the perfect antidote for the current

market malaise!

• BI from Bi3 is good for YOUR client’s business!

Page 47: Business Intelligence and Mining Customer Data

Questions and Answers

Page 48: Business Intelligence and Mining Customer Data

Contact Information

Jerry Grady – Follmer Rudzewicz Advisors, Inc.

[email protected]

Warren Richman – BI3.net

[email protected]

Bill Pintsak– Interface Software

Pintsak, [email protected]]

Page 49: Business Intelligence and Mining Customer Data

Thank You!