TDWI Boston Keynote: The New BI/Analytics Synergy

© Eckerson Group LLC www.eckerson.com

The New BI/Analytics Synergy: How to Align Business and IT Around Data

Wayne EckersonJuly 30, 2015


• The data world has changed

• BI is one of many players

• BI still has a critical role to play

Objectives


The Center of the Universe

Claudius Ptolemy90-168 AD

Ptolemaic System

Geocentrism

Copernican System

Nicolaus Copernicus1473-1543 AD

Heliocentrism


BIcentrismBusiness Intelligence

Reports and Dashboards

Data warehouse

Relational (Integrated)

End-User Tools

Architecture

Data

ReportingMonitoring

AnalysisExploration

Mining

Bill Inmon Ralph Kimball

BI/DW Team


Continuous IntelligenceD

ashboards and Alerts

Complex event

processing &

streaming analytics

Event and m

achine data

Business Intelligence

Reports and Dashboards

Data warehouse

Relational (Integrated)

End-User Tools

Architecture

Data

Anal

ytica

l Eco

syst

em

Non-relational q

ueries

Keyword search & faceted

navigation Operational D

ashboards

(DW-driv

en dashboards )

Decision Automation

Analytics Intelligence

Spreadmarts, data silos, analytical sandboxes

Relational (Non-integrated)

Excel, OLAP, SQL, visual discovery tools, machine learning

Cont

ent I

ntel

ligen

ceKe

ywor

k se

arch

, Xqu

ery,

Hiv

e,

Java

, Pyt

hon,

Pig

, Per

l

Had

oop,

XM

L en

gine

s, S

earc

h en

gine

s

Non

-rel

ation

al,

mul

tistr

uctu

red

Casual Users

Power Users

Top-downBottom-up

Driven by ITBuilt around EDW

Answers known questionsFor Casual Users

To monitor processesUsing certified data

Driven by Business UnitsBuilt for power users

To meet needs of the BUBy answering new questions

Using uncertified data

ReportingMonitoring

AnalysisExploration

Mining

Power User

Casual User

IT-drivenCertified data

Predefined KPIs

Business-drivenAd hoc queriesNew insights

Source Data

Staging Area,

Hub and Archive

Business Intelligence (Reporting &

analysis - DW)

Analytics Intelligence

(Exploration & Discovery)

Ad hoc Query, Visualization, and Predictive

Tools

Corporate Dashboards &

Reports (Web and mobile)

Continuous Intelligence

(Alerting)

Analytics/Search

Streaming ETL QueryKey:

Rules

Conceptual Architecture – The New Analytical Ecosystem

Query Processing Systems

Intelligence Tools

Analytic Functions

Operational Reporting

Business Users

Data Capture and Pre-processing Systems

Operational Systems

Content Intelligence

Sem

antic

Lay

erSemantic

LayerD

ata

Dire

ctor

y

RelationalData

(ERP, CRM, Legacy)

Non-relational

Data(Files,

Images, Text, etc.)

On Premise, Cloud, or Hybrid

© Eckerson Group, 2015


The New Analytical Organization

BI/DW Team

Functional Analytic ManagersInfrastructure Administration

Business Unit Heads

Business Analysts

Advanced Analytics Team

ReportingMonitoring

AnalysisExploration

Mining

Business Analytics Center of

Excellence

Business Unit CIOs

Chief Data Officers

Security/Audit

MDM Team


Technology Revolution1993 –DW for a Pharmacy Chain

10 Pentium CPUs 2 GB RAM 1 TB disk

$1.6 million

2009 – Typical Desktop 4 core CPU 6 GB RAM 750 GB disk

$600

2015 – DW on a phone?64-bit, 128 GB

$60/month

Performance

Price

CPU, Memory, Disk storage

Waves of Computing1970s – Mainframes, Minis1980s – Client/server, Desktops1990s – Web/Internet2000s – E-commerce/Social media2010s – Mobile, Cloud, Big data


Analytical RevolutionOld World New World

Enterprise Data WarehouseIT-drivenReactive

SlowStatic

Hard to useTabular

ReportingDesktop

On premiseTransactional data

Business vs IT

Big Data EcosystemSelf-serviceProactiveFastInteractive Easy to useVisualAnalytics MobileCloudMulti-structured dataBusiness and IT


1990-20001980-1990

Ideal?

Power Struggle

2000-2010 2010-2020

Top Down BIIT-driven

Focus on standardsFor casual users

To monitor processesAnswer known questions

Using certified data From the DW

GOVERNED

Bottom-up BIBU-drivenFocus on speedFor power usersTo find new insightsAnswer new questionsUsing non-certified dataFrom any data source

UNGOVERNED


• Deliver certified, trustworthy data– Build and manage the “data warehouse”– Create and maintain data dictionary – Build and monitor analytic sandboxes

• Support business analysts– Train to use self-service BI tools– Help them navigate the data warehouse– Convert ad hoc reports into production reports

• Support business unit report developers– Matrix to BI team and train in BI tools and processes– Collaborate to build robust departmental dashboards

and scorecards

Role of BI Team


• Create BI/Analytics Center of Excellence– Identify the players – Create shared vision & infrastructure– Facilitate hand-offs between groups

• Create a federated BI organization – Matrix BI/data pros in each business unit– Manage steering committees (BI Council)– Go from order takers to consultants

• Evangelize value of business analytics– Brand and market analytics – Sell up, down, and across– Run internal conferences

• Spearhead data governance initiatives

Role of the BI Leader

Business Analytics Center of Excellence

Federated BI Organization


Foster convergence

Business Intelligence

Advanced Analytics

Data Management

• LOB Partnership • AA Partnership • BI Self-service• KPI Dashboards• Visual Discovery

• Data science• Data engineering• Data analysis • Data directory• Exploration

• DW Modernization• Hadoop, NoSQL, and Spark systems• Real-time streaming • Analytic sandboxes

Drive business valueAnalytical ecosystem and team


How Evolve?


• The data world has changed

• BI is one of many players

• BI still has a critical role to play

Summary


Questions?

I’m listening!


Wayne EckersonHingham, MA

[email protected](781) 740-9504

Wayne Eckerson

• Principal Consultant, Eckerson Group• 20+ year thought leader in BI and analytics• Sought-after speaker and consultant• Former director of research at TDWI• Author of hundreds of articles and reports

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Date post:	19-Aug-2015
Category:	Technology
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