This is the scaled-down version from the presentation that I did in front of some local business people about the usefulness of existing business data when harnessed with Business Intelligence (BI) techniques and processes.

1. Definition
Motivations
Goals
Business Intelligence
Part I: Introduction

2. Business Intelligence
Part I: Introduction
Welcome to the “Data-driven World”

3. Any organizations that deal
with budget, projects, and
targets
Any businesses that uses this
equation:
Revenue – Cost = Profit
BI: Definition
Who is it for?

4. Using your data to help
your business grow
A means to discover loss
profit and hidden cost
Reducing stress and
increasing confidence in
decisions
… The smart thing to do!
BI: Definition
Business Intelligence is ...

5. Just as medical labs analyze our blood
Just as oil-analysis labs analyze oil samples
inside of an engine
When we measure key indicators, we can be
in a preventive mode
BI: Definition
How does BI do it?

6. You cannot improve what you
don't measure
You cannot fix problems you
don't know about
BI: Defintion
So what?

7. How much is the cost of
increasing your revenues?
How much is the cost of solving
your business problems?
BI: Defintion
How Much?

8. Data is the lifeblood of all organizations
especially businesses
The quality of data is an indicator of the
quality of the decisions made based on it
In one sense:
●
Business = Business Data
+ Business Rules
BI: Motivations
What is the big deal with Data?

9. BI: Motivations
Why is BI crucial for businesses?
vs
Name Jane Doe
Address 123 Main St.
Profession Attorney
Last
purchase
5/5/2013
Purchase
frequency
2-3 times a
month
Most
frequently
purchased
product
Acme Black
Shoes
Most
expensive
product
purchased
Acme Red
Shoes
Birthday 7/4

10. BI: Motivations
BI is Marketing
“What good
does your
data do for
you, sitting
inside the
database?”

11. Data is everywhere
Data is used by everyone
Data does not maintain itself
Data “Goes Bad” over time
Only accurate and reliable data is
useful and valuable
BI: Motivations
Some Facts about Data

12. Data is Everywhere
Payroll and
Employment
History Orders
And
Invoices
Warehouses
And
Distribution
Centers
Organization
Chart
Manufacturing
And
Inventory
Legal and
Financial
Contracts
Products
And
Catalogs
Point of Sale
Or
E-commerce
General
Ledger
Marketing
And
Promotions

13. Data is used by Everyone
Business
Data
IRS and
State
Tax Authority
Investors and
Banks
Accountants
and
Lawyers
Business
Owner
Vendors
Customers

14. Invalid data entry – will happen no matter what
Data is regulated by Business Rules
●
There are External and Internal Rules
●
What must happen when they change?
●
Rule changes introduce problems due to non-
uniform understanding, human or system errors
Data accuracy and reliability degrade over time –
invisibly. We can't see it unless we do
something about it.
BI: Motivations
How does Data go bad?

15. Customer delivery address: 1 expected, 3
found ← Ambiguity
Missing digits in accounting cumulative
figures ← Lost Profits
Airline ticket type column: Sometimes missing
← Unreliable Data
Discount being applied beyond expiry time ←
Hidden Expenses
Incomplete transaction data ← 'Epic' Missing
Data
BI: Motivations
What does bad data look like?

16. BI: Motivations
Example: Parts List Condition vs Quantity–

17. Data Management: Strategic plans to
regulate data flow using business rules
Data Maintenance: Day-to-day job of making
sure that data quality is high. Especially after
any rule changes
Data Analytics: Using high-quality data to
answer questions or to come up with new
insights
BI: Motivations
How does BI deal with Bad Data?

18. Seventy percent of Data
Mgmt., Maintenance, and
Analysis is performed by data
personnels.
Not a lot of companies have
in-house data personnels.
Twenty percent depends on
the BI suite choice.
nextCoder use zero
license tools.
Ten percent depends on
hardware setup.
BI: Motivations
Why are Data Consultants Useful?

19. Business and IT care about
the same thing: Data
But they understand data
differently
BI should be in-between IT
and Executives (business)
BI: Goals
Isn't BI part of IT Dept.?

20. Data Warehouse: Implementation

21. To automate existing manual processes
●
To reduce human errors
●
To reduce the time spent
To monitor the application of business rules
on data
To simplify information from multiple
sources
BI: Goals
Objectives

22. How's business? Profit up, cost down?
What do you do with online marketing?
Do you tell your customers that you're
doing a good job?
What is your plan to service more
customers? Expand to adjacent
markets?
Do you generate reports manually? Do
you maintain the numbers manually?
BI: Goals
How to talk BI without saying 'data'?

23. 97,859 Businesses with 1 to 9 employees
and 37,940 Businesses with 10 to 99
employees in DFW alone (US Census Bureau,
2009)
High volume transactions: Transaction
Processing, Warehouses, Suppliers,
Distributors, Manufacturing, etc.
Low volume transactions: Grocery Stores,
Multi-store franchises (restaurants, salons,
fitness clubs, etc.)
BI: Goals
How big is the market for BI?

24. For more info on using
BI for your business:
Will Gunadi
will@nextcoder.com
214.436.3232
@nextcoderwill