Webinar: BI Team Backlogged with Information Demands?

Backlogged with information demands?
Solve the BI supply-demand gap by doing more with less

Today’s Agenda
Information Backlog Trends
Identifying Current Inefficiencies
Eliminating Inefficiencies thru Automation
Keys to Reducing the Information Backlog
Next Steps

Number one technology spend for last three years
#2 Most important technology spend (after anti-virus)
Demands for information growing rapidly

CIO Hiring plans:
68% no increase plan
19% plan increase in 6 months
13% plan increase in 12 months
Source: CIO Magazine Economic Impact Survey
Supply of resources to deliver is flat or declining
4

Information Backlog is growing (not shrinking)
Information Backlog
(BI Supply/Demand Gap)
5

Productivity is required, automation is key
Information Backlog
(BI Supply/Demand Gap)
“high time to elevate the debate and sell the CIOs and business on IT Automation”
Source: The IT Automation Imperative, July 30, 2009.
6

What is being built?
7
User
Access
Dashboards, Scorecards, Reports
Ad-hoc query & reporting, OLAP
Target
Data
Data Marts, Data Warehouse
Master Data, Staging Structures
Data
Movement
& Quality
ETL, Data Quality
Source
Data
Application Specific DBs

How is it being built?
8
User
Access
Based on the users needs
what is the best way to design the solution? What is the blueprint of the design?
How do we build the solution?
How do we integrate it into the
existing solutions?
Target
Data
How do we verify we built what the user asked for? And that it performs properly?
How do we roll the solution out?
And gain rapid adoption?
Do we already have it?
If not how hard to obtain?
Data
Movement
& Quality
What do the users want?
Source
Data
Requirements
Analysis
Design
Build
Test
Deploy

Current BI Delivery ChallengesInefficient, Labor Intensive, Disconnected
9
Status Quo = Paper Based and Isolated
User
Access
Manual rekeying?
Use Case
in Excel or Word
by Business Analyst
Cube
in Microsoft SSAS
by OLAP Developer
Manual rekeying?
Business Object
Definition
in Excel or Word
by Solution Architect
Manual rekeying?
Target
Data
Entity Relationship
Diagram
in ERWin
by Data Modeler
Tables
in Oracle
by DBA
Corporate Game of Telephone

87% of BI Projects miss objective
Process of asking questions too slow - 52%
System doesn’t have the data I need - 65%
Can’t ask the questions I need to - 55%

Source: NCC Survey
Manual rekeying?
Data
Movement
& Quality
ETL Modules
in PowerCenter
by ETL Developer
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements

Current Inefficiencies
10
Data Driven – not connected to user requirements
Report Focused – developed for a few not the masses
Project Dialect – no future anticipation of reuse
Single User Tools – working in isolation
User
Access
Manual rekeying?
Use Case
in Excel or Word
by Business Analyst
Cube
in Microsoft SSAS
by OLAP Developer
Manual rekeying?
Business Object
Definition
in Excel or Word
Manual rekeying?
Target
Data
Entity Relationship
Diagram
in ERWin
by Data Modeler
Tables
in Oracle
by DBA
Manual rekeying?
Data
Movement
& Quality
ETL Modules
in PowerCenter
by ETL Developer
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements

Eliminating Inefficiencies
11
Data DrivenBusiness Driven
Report FocusedSelf Service Focused
Project DialectEnterprise Language
Single User Tools Multi-User/
User
Access
Manual rekeying?
Use Case
in Excel or Word
by Business Analyst
Cube
in Microsoft SSAS
by OLAP Developer
Manual rekeying?
Business Object
Definition
in Excel or Word
Manual rekeying?
Target
Data
Entity Relationship
Diagram
in ERWin
by Data Modeler
Tables
in Oracle
by DBA
Manual rekeying?
Data
Movement
& Quality
ETL Modules
in PowerCenter
by ETL Developer
Multi-Project Tools
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements

Requirements to Solutions
Automating the process of BI Delivery
12

Use
Cases
User
Access
Target
Data
Data
Movement
& Quality
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements
Business Intelligence AutomationCapturing Users Requirements

Automatic synchronization
of business semantics
Use
Cases
Product
Customer
Customer Life
Product Profit
Usability
Reqts.
User
Access
FCAP RUC-001: Which products are most profitable over the life of a customer?
Target
Data
Data
Movement
& Quality
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements
Business Intelligence Automation Defining Business Terms

Use
Cases
Product
Customer
Customer Life
Product Profit
Product
Customer
Customer Life
Product Profit
Usability
Reqts.
User
Access
Target
Data
“Sourcing”
Data
Analysis
Data
Movement
& Quality
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements
Business Intelligence Automation Building Business Model
?

Use
Cases
Product
Customer
Customer Life
Product Profit
Usability
Reqts.
User
Access
Target
Data
“Sourcing”
Data
Analysis
Data
Movement
& Quality
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements
Business Intelligence Automation Relating to Requirement

Use
Cases
Usability
Reqts.
Product
Customer
Customer Life
Product Profit
Solution
Design
User
Access
Target
Data
Data
Movement
& Quality
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements
Business Intelligence Automation Solution Definition

Use
Cases
Usability
Reqts.
Solution
Design
Solution
Generation
BI Semantic
Layer
User
Access
consensus
Target
Data
integratorTM
DB/DDL
Data
Movement
& Quality
OLAP
Source
Data
Deploy
Test
Build
Design
Analysis
Requirements
Business Intelligence Automation Solution Generation

consensus
generates your
BI Solution
from a business model
consensus
integratorTM

Microstrategy
Oracle BI
Microstrategy
Netezza
Greenplum
sample data

consensus
generates your
BI Solution
from a business model
consensus
integratorTM

Shrinking the gap, key areas of focus
Business Driven (not Data Driven)
Automate delivery from a business model
Hit the mark and eliminate rework
Manage scope to business need
Eliminate project risk
Self Service (not Reports)
Increased flexibility
Expanded target audience
Increased report developer population
Clarity for All (not for One)
Establish corporate meaning and memory across BI Projects and tools
Drive reuse while I ncreasing consistency
Expand user adoption
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Double Solution Delivery
Half to Quarter of the Cost
F500 Customer Experience
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Consensus Closes the Gap
BALANCED INSIGHT

What others are saying
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“Balanced Insight Consensus® delivers an unbelievable value to clients by really addressing Business Intelligence and Data Warehouse agility and bridging the business/IT gap.”
Wayne Eckerson
Director of Research
The Data Warehousing Institute (TDWI)
“I was blown away on how fast Balanced Insight Consensus® translated my business requirements into the Business intelligence solution. Literally this occurred with a push of a button. “
Julie Shannon
Independent Business Intelligence
Consultant
“We view Consensus as a true differentiator for ICC and have been able to drive down the implementation timelines associated with BI solutions.”
Don Jackson
Director of Business Intelligence
Information Control Corporation

Next Steps
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