A Strategic View of Enterprise Reporting and Analytics: The Data Funnel

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!  Reveal the essential characteristics of enterprise software, good and bad

!  Provide a forum for detailed analysis of today’s innovative technologies

!  Give vendors a chance to explain their product to savvy analysts

!  Allow audience members to pose serious questions... and get answers!


!   June: Intelligence

!   July: Disruption

!   August: Analytics

!   September: Integration

!   October: Database

!   November: Cloud



!   Business Intelligence technologies are designed to let organizations take all their capabilities and convert them into knowledge, ultimately getting the the right information to the right people at the right time.

!   BI tools are not just for business analysts these days. More people want access to more data, and that data tends to come from increasingly disparate sources.

!   Everyone within an organization – from the analyst to the business user – needs to have access to all the data, from any source, on any device.


Colin White is the president of DataBase Associates Inc. and founder of BI Research. As an analyst, educator and writer he is well known for his in-depth knowledge of data management, information integration, and business intelligence technologies and how they can be used for building the smart and agile business. With many years of IT experience, he has consulted for dozens of companies throughout the world and is a frequent speaker at leading IT events. Colin has written numerous articles and papers, and for ten years he was the conference chair of the DCI and Shared Insights Portals, Content Management, and Collaboration conference.

Analyst: Colin White

!  Delivers a scalable, cost-effective, self-service business intelligence suite

!  Offers a commercial open source business model

!  Built for Cloud, Mobile and Big Data environments

!  Has a large developer community


Karl Van den Bergh is the Vice President of Product and Alliances at Jaspersoft. Karl is a seasoned executive with 18 years experience in software, hardware, open source and SaaS businesses, both startup and established. Prior to Jaspersoft, Karl was the VP of Marketing and Alliances at Kickfire (now part of Teradata), a venture-funded data warehouse appliance startup. He also spent seven years at Business Objects, where he held progressively senior leadership positions in product marketing, product management, corporate development and strategy. Karl started his career as a software engineer.


Getting to Pervasive BI through Changes in the Data Funnel

Karl Van den Bergh, Vice President Product & Alliances

The Promise of Business Intelligence

The Promise

©2012 Jaspersoft Corporation. Proprietary and Confidential 10

“…within Industry Average Companies, 25% use a BI Solution”

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The Reality

A Big Market and Growing


“Analytics and Business Intelligence will be the top technology priorities for CIOs in 2012.” 2012 Global Survey of 2300 CIOs

“Analytics software market is on tap to hit $33.9B in 2012, up 8.2% from 2011.” 2012 Analytics Software Tracker

Business Users Can’t Self-Serve §  Too complex, not accessible or contextual

BI Builders Can’t Scale

§  Particularly in the New IT World

The Problem with BI Today


The New IT World

§  New user requirements: Consumerization §  Enterprise consumers want apps that are beautiful, interactive, contextual

§  New technology requirements: Cloud §  There is a new IT stack that is centered on the Cloud, managing Big Data

§  New business requirements: Cost §  Top considerations for any new project are cost and time-to-value


“Tectonic shifts are occurring in today’s enterprise IT environment, powered by mega-forces such as globalization and commoditization – and also driven by consumer technologies.” - Geoffrey Moore, 2010

Solution: Self-Service BI at SCALE

Platform Vendors

Visualization Vendors

Niche Vendors

SELF-SERVICE

SCALE


All Users All Questions All Infrastructure

Any User Any Device Any Context

Self-Service BI at SCALE

The Data Funnel Today


Data Production • Small Scale, Structured Data • On-premises

Data Manipulation • RDBMS • ETL & SQL

Data Analysis • OLAP & Metadata • Pivot Tables & MDX

Data Viewing • Static Reports & Dashboards • Desktop & Browser

Traditional Data Funnel

Developer

Data Architect

Data Analyst

Casual User

What About Scale?

The Data Funnel for Pervasive BI


Data Production • Large Scale, Structured, Multi-structured Data • On-premises & Cloud

Data Manipulation • RDBMS, ADBMS, Hadoop, NoSQL • ETL, SQL, Scripting

Data Analysis • OLAP & Metadata • Pivot Tables & MDX

Data Viewing • Static Reports & Dashboards • Desktop & Browser

New Data Funnel

Developer

Data Architect

Data Analyst

Casual User

What About Self-Service?

The Data Funnel for Pervasive BI


Data Production • Large Scale, Structured, Multi-structured Data • On-premises & Cloud

Data Manipulation • RDBMS, ADBMS, Hadoop, NoSQL • ETL, SQL, Scripting

Data Analysis • OLAP, Metadata & In-Memory • Pivot tables, MDX & Visualizations

Data Viewing •  Interactive, Contextual Reports & Dashboards • Desktop, Browser & Mobile Devices

New Data Funnel

Developer

Data Architect

Data Analyst

Casual User

ANY USER

ANY DEVICE

ANY CONTEXT

Example of Self-Service BI for All Users

18 ©2012 Jaspersoft Corporation. Proprietary and Confidential

Scalable on the New IT Stack

SCALE IN CLOUD

SCALE FOR BIG DATA

SCALE ON MOBILE

19 ©2012 Jaspersoft Corporation. Proprietary and Confidential

Deployed by 10,000s of Organizations


Software & Technology

Financial Services

Public Sector

Telecommunications

Travel & Transportation

Retail/CPG

Healthcare/Pharmaceu-cal

16M Downloads (3K/day). 275K Community. 175K Deployments. 15K Customers.

Fast Growing with Strong Recognition Broad Industry Recognition Accelerated Year-over-Year Growth

Magic Quadrants

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09

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A New Data Funnel for Pervasive BI

§  Scaling true self-service BI will lead to pervasive BI §  SCALE: all users, all questions, all infrastructure §  SELF-SERVICE: any user, any device, any context

§  Scale requires data funnel changes §  Large data volumes of multi-structured data §  Scale-out deployments §  Scale-out data stores §  Programmatic data manipulation

§  Self-service requires data funnel changes §  In-memory for fast response times §  Visualizations for easier understanding §  Interactivity and context for the 80% §  Mobile enablement for ubiquitous access


THANK YOU!

Colin White President, BI Research

Bloor Briefing Room with JaspersoftJune 2012"

A Strategic View of Enterprise BI!

26 Copyright © BI Research, 2012 26

Where Are We Today?

Huge data growth

Increasing number of data types and sources

Extreme analytic workloads

Limited user self-service

Increasing tool complexity

Restricted IT budgets

Dynamic business environment

27 Copyright © BI Research, 2012

Marketplace Directions

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Next Generation Solutions •  Big data •  Advanced (smart) analytics •  Analytic RDBMSs & non-relational

systems

Reduce Costs •  Optimized systems •  Hardware exploitation •  Appliances

Faster Time to Value •  Self-service BI •  Cloud computing •  Agile BI/DW development

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Extending the Enterprise Data Warehouse

Copyright © BI Research

Traditional EDW environment

Workgroupapplications

Analyticapplications

Operationalapplications

Embedded analytic services

EnterpriseDW

Dependentdata martor cube

AnalyticRDBMS

Non-relationalsystem

Internal/externalmulti-structured

data systems

Operationalstructured

data systems

Workgroupdata systems

Streaming/CEP engine Data streams

filtereddata

Transactions

Analyticapplications

Masterdata

Investigative & built for purpose systems

Stream processing &embedded BI solutions


Connecting the Pieces: Information Supply Chain

29

datawarehouse

workgroupdata

operationalsystems

other datasystems

Analyze Publish

30 Copyright © BI Research, 2012 30

Make it easyto access data

for analysis

Make a DWfast to deploy &easy to manage

Make BI toolseasy to use

Make BI results easy to consume &

enhance

Appliances Cloud computing (private & public)

Easy BI(data mashups

customizable widgetseasy mining

analytic functionsadvanced visualization

data sandboxinvestigative data store)

Easy UI(office integration business glossary

data lineageactionable BI)

Mobile BI Collaborative BI

Datavirtualization

Big data connectors

Faster Time to Value: Self-Service BI

DiscoverAccess

IntegrateManage

DiscoverCollaborate

Analyze Publish


Choosing the Right Solution is Important to Success

HistoricalDW data

Operationalstructured

data

Multi-structured

data

Webservices

Multiple devices

Multiple formats

Multiple deployment models

Multiple analytic techniques Multiple data systems

Datadelivery

Datamanagement

Dataanalysis

Dataintegration

Increasing volume

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•  On the big data topic can you explain how Jaspersoft connects to systems such as Hadoop?

•  There is a lot of hype about big data – are your customers using multi-structured data for analysis? If so, for what type of applications?

•  What about accessing both structured and multi-structured data using data virtualization – aren’t there performance issues here? Can in-memory processing help?

•  Are your customers using both analytic RDBMS and Hadoop systems? If so, for what types of applications?

•  What about deployment in the cloud? Any use cases you can talk about here?


•  What features are users looking for to make BI tools easier to use - are capabilities such as BI widgets, data and presentation mashups, and portal support important here?

•  One of the main objectives here is an easier to use interface. What is required to achieve this?

•  What about new data visualization approaches?

•  Are mobile BI and collaborative BI key directions?


!   June: Intelligence

!   July: Disruption

!   August: Analytics

!   September: Integration

!   October: Database

!   November: Cloud

A Strategic View of Enterprise Reporting and Analytics: The Data Funnel

Technology

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