Business Intelligence (General BI)

Business Intelligence (BI)

Overview

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What is Business Intelligence?

Business Intelligence enables the business to make intelligent, fact-based decisions

Aggregate Data

Database, Data Mart, Data Warehouse, ETL Tools,

Integration Tools

Present Data

EnrichData

Inform a Decision

Reporting Tools, Dashboards, Static

Reports, Mobile Reporting, OLAP Cubes

Add Context to Create Information, Descriptive Statistics, Benchmarks, Variance to Plan or LY

Decisions are Fact-based and Data-driven

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CPU – Content, Performance, Usability

► Content► The business determines the “what”, BI enables the “how”

► Performance► Minimize report creation and collection times (near zero)

► Usability

► Delivery Method Push vs Pull► Medium Excel, PDF, Dashboard, Cube, Mobile Device► Simple churning/ Extraction► Complexity

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How Important is BI? (1/3)

Top 10 Business and Technology Priorities for 2015:

1. Computing Everywhere

2. The Internet of Things

3. 3-D Printing

4. Advanced, Pervasive and Invisible Analytic (BI)

5. Context-Rich Systems

6. Smart Machines

7. Cloud/Client Computing

8. Software-Defined Applications and Infrastructure

9. Web-Scale IT

10. Risk-Based Security and Self-Protection

Source: Gartner’s Top 10 Strategic Tech Trends for 2015

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How Important is BI? (2/3)

Source: Forrester's Top 15 Emerging Technologies

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Why is Business Intelligence So Important? (3/3)

Time

With Business Intelligence, we can get data in a timely manner.

Making Business Decisions is a Balance

Data Opinion

(aka Best Professional Judgment)

In the absence of data, business decisions are often made in haste without grounds

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Major BI Trends

► Visual data discovery and self-service:

► Cloud-based BI:

► Mobile BI:

► Big data and little data:

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BI technologies will be the most important to any organization in the next 3 years?

1. Predictive Analytics2. Visualization/Dashboards3. Master Data Management4. The Cloud5. Analytic Databases6. Mobile BI7. Open Source8. Text Analytics

…. as per TDWI Executive Summit

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TDWI Analytics Maturity Model

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Advanced Analytics / Predictive Analytics

► Data Mining► Regression► Monte Carlo Simulation► “Statistically Significant”► Predicting Customer Behavior

► Churn/Attrition► Purchases► Profiling

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BI Today vs Tomorrow

► “BI today is like reading the newspaper”

► BI reporting tool on top of a data warehouse that loads nightly and produces historical reporting

► BI tomorrow will focus more on real-time events and predicting tomorrow’s headlines

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Retail Analytics

► Market Basket Analytics► Text Analytics► Customer Segmentation/Clustering► Tailored Product Assortments► Inventory Forecasting

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Examples of BIAmazon.com and NetFlix

Collaborative Filtering tries to predict other items a customer may want to purchase based on what’s in their shopping cart and the purchasing behaviors of other customers

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What is Text Analytics?

…turning unstructured customer comments into actionable insights

…finding nuggets of insight in text data that will improve our business

From Wikipedia:… a set of linguistic, statistical, and machine learning

techniques that model and structure the information content of textual sources for business intelligence, exploratory data

analysis, research, or investigation

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Unstructured Text Processing?

Customer Sat Survey

Comments

Facebook Page

Blogs

Competitors’ Facebook

Pages Public Web Sites, Discussion Boards, Product Reviews

Alerts, Real-time

Action

TwitterPage

Services

Quality Cost Friendliness

Email

Adhoc Feedback

Call Center Notes, Voice

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What is Information Governance?

Information Governance

•Data Stewardship• Data Quality

•Data Governance• Master Data Management• Data Stewards for Master Data “Hubs”• Customer, Vendor, Product, Location, Employee, G/L Accounts

PREVENTS

Garbage In

Garbage Out

BY ENCOMPASSING

•Report Governance

•Metric Governance

CREATING SIGNIFICANT BUSINESS VALUE

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BI Technologies

► Analytic Databases

BI is a consolidating industry► Oracle: Siebel, Hyperion, Brio, Sun► SAP: Business Objects, Sybase► IBM: Cognos, SPSS, Coremetrics, Unica, Netezza► EMC: Greenplum► HP: Vertica► Teradata: Aster Data

►Independent vendors: MicroStrategy, Informatica, SAS

►Reporting standards determined mainly by Microsoft, Apple and Adobe

TeradataNetezza

DB2OracleSQL Server

VerticaAster DataPar AccelGreenplum

Semantic Databases(TIDE)

Thank You

Q&A