the state of business intelligence jessica keyes new art technologies, inc. [email protected]
TRANSCRIPT
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“What is called foreknowledge cannot be elicited from spirits, nor from gods, nor by analogy with past events, nor from calculations. It must be obtained from men who know the enemy situation”
(Sun Tzu, circa 500 BC)
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So, who is the enemy?
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Too much data• The amount of information we are
expected to absorb will double every four to five years
• More information has been generated for mass distribution in the last three decades than in the previous 5,000 years.
• Our capacity to retrieve this information is declining. Out of all absorb, we can retrieve from our memories only a paltry 5 percent.
• Richard Saul Wurman coined a term for this – information anxiety
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What we say about ourselves?
Patents
Individual communications
Information for internal consumption (sales data etc.)
Press releases, interviews, public statements
Communications for trading partners (e.g. extranet)
Customer support material
RFPs, job descriptions
Promotional material, directory entries
House journals
Research publications
Annual report, shareholder communications, other material obliged to disclose
Staff expertise
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Customers
Industry commentators
What do others say? Competitors
Pressure groups
Media
Financial advisers
Credit rating agencies
Suppliers
Trade journals
Trade web sites
Trade associations
Specialists and consultants
Stockbrokers
Market researchers
Local
National
International
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New data types• Blogs • Audio casts • RSS feeds, etc.• Podcasts and vodcasts
We simply can’t keep up!
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Bad data• Redundant data• Errors in data• Missing data• Weak and difficult to detect patterns• Lack of stewardship• Confusing and difficult to analyze• Not indicative of true change• How do you value personal contacts?
But no information, no value.
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Your competitors• Known competitors• Phantom competitors – e.g. MetLife
Bank, Internet only banks, one day Amazon?
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New regulations
• Such as– Basel II– Sarbanes-Oxley
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Unprepared staff
• Offshoring, outsourcing• New “educational” models• The new “multitasking” generation
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Poor performance and risk
• Corporate risk– Risk Management and Mitigation– Crisis Management
• Performance management and measurement– Metrics– Balanced Scorecard
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If you’re here you know what BI is
Knowledge about your customers, your competitors, your business partners, your competitive environment, and your own internal operations – that gives you the ability to make effective, important, and
strategic business decisions.
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0% 10% 20% 30% 40% 50%
Cutting business costs8%
Strategic use of IT & business
intelligence
38%
Creating new products and services 13%
During the next three years, the biggest shift in the focus of IT in my organization will be toward:
Increased people and process complexity
Enabling better business process
43%
Source: Gartner EXP CIO survey, 2005
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BI …• Is a subset of knowledge management• Relies on content management• Uses data mining and other analytic
techniques to access data stored in data marts and data warehouses
• Has an AI component
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BI’s two components
• Business intelligence (BI) systems – internal
• Competitive intelligence – external
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Strategic and competitive opportunities• Strategic uses of business intelligence
ranked in order of importance– Corporate performance management– Optimizing customer relations,
monitoring business activity, and traditional decision support
– Applications for specific operations or strategies
– Management reporting of business intelligence
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Banking uses• Lloyds TSB
– Saved $ 3.5 million by reducing credit card fraud
• Groupe Banque Populaire– generated $ 1.8 million additional
revenue on a lead generation campaign
• BankFinancial– 7 x increase in customer response
rates, 80% reduction in costs• All banks
– Customer insight-driven marketing
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Business Intelligence trends
• BI standardization– While BI has been deployed
departmentally, IT organizations are driving enterprise BI standards
• BI to the masses– Deploying BI to the “corporate middle
class” has started
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INFORMATIONMANAGEMENT
BUSINESS PERFORMANCE
DATAINTEGRATION
EXTRACTTRANSFORM
LOAD
DATABASEREPLICATION
ENTERPRISEINFORMATIONINTEGRATION
INFORMATIONLOGISTICS
AGENTS
ENTERPRISEAPPLICATIONINTEGRATION
METADATA
REPOSITORY
STANDARDS/ORGS
ADAPTERS
DATA QUALITY
DATAPROFILING DATA
CLEANSING
ENRICHMENT
ARCHITECTURE
DATAWAREHOUSE
OPERATIONALDATA STORE
DATAMART
MULTI-DIMENSIONALDATABASE
DATA MODELING
COMMERCIALMODELS
STARSCHEMA
MODELINGTOOLS
PROJECTS
CONSULTINGJUSTIFICATION &
BUDGETING
ROLES/RESPONSIBILITIES PERFORMANCE
DBMS
ACTIVITYMONITORING
QUERYMANAGEMENT
HOSTING/OUTSOURCING
QUERY REPORTING
MININGINTERACTIVE
TEXT
PLANNING
FORECASTING
CLUSTERING/SEGMENTING
PREDICTION
AD-HOC NATURALLANGUAGE
METHODOLOGY
DASHBOARD/SCORECARD
MANAGEDREPORTING
ALERTS/NOTIFICATION
OLAP
DATAADMINISTRATION
OTHERSTANDARDS
STEWARDSHIP/OWNERSHIP
OPTIMIZATION
VERTICAL/HORIZONTAL
ANALYTIC APPS
MODELMGT
IDENTIFICATION/MATCHING STANDARD-
ization
RECOMMENDATIONENGINES
DATA INTEGRATIONPARALLELiZATION
CRMSALES / MKTG
SUPPLIERMFR / DISTRIB
ERPHR / FINANCE
WEB[INDUSTRY]
POLICY/GOVERNANCE
INFORMATIONVALUE
Enterprise Analytics
Source: Gartner
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Pervasive Business Intelligence• Pervasive BI is a set of capabilities that
extend the basic building blocks of BI• A philosophy of “Access All Areas”• Providing information to all employees
to support business decision making• Styles of delivery
– Self-service (pull)– Embedded into applications (push)
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BI pitfalls
• No business involvement• No audit controls• No methodology• No data quality processes• Lack of coordination and reuse –
the “silo” effect• No technological roadmap• Not understanding the broader
picture
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Future BI• More well integrated into KM as a whole• Enhanced use of AI technologies such
as expert systems, enabling enhanced predictive analytics
• Enhanced dashboards, increasing visualization
• Incorporation of non-textual data, such as audio, video and images (including satellite images)
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Thank you