data discovery and bi - is there really a difference?

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The Briefing Room

Data Discovery and BI: Is There Really a Difference?

Twitter Tag: #briefr

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Welcome

Host: Eric Kavanagh

[email protected]


The Briefing Room

!   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!

Mission


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Topics

This Month: INNOVATORS

January: ANALYTICS

February: BIG DATA

2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room


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Data Discovery & Visualization

INNOVATORS


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Analyst: John O’Brien

John O’Brien is Principal and CEO of

Radiant Advisors


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Birst

! Birst offers a SaaS-based, multi-tenant BI and data discovery platform; it can also be deployed on-premise

!   The Birst solution is capable of unifying siloed technologies, automating data management and providing agile enterprise-class analytics

! Birst’s approach enables self-service analytics and data discovery by allowing business users to manage and add new data sources, create custom dashboards and collaborate across the organization


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Guest: Southard Jones

Southard Jones is Birst’s VP, Product Strategy. Southard was previously the Vice President of Products at SCIenergy, a leading provider of Energy Management Analytics to commercial buildings, where he transformed product and go-to-market strategy leading the company to a five-fold growth in quarterly ACV bookings. Prior to SCIenergy, as Vice President of Products he led Right90, a pioneer in SaaS sales forecasting, from start-up to acquisition. His software career started at Siebel where he ran Performance Management and Workforce Analytics product lines in Siebel’s fastest growing business unit, Siebel Analytics.

Brad Peters is the CEO and co-founder of Birst. Brad has spent the last 10 years building analytics products and solutions. Prior to working at Birst, he helped found and later led the Analytics product line at Siebel Systems, which forms the basis of Oracle’s current OBIEE product family. Brad started his career as an investment banker for Morgan Stanley in the New York M&A practice. Brad regularly blogs for Forbes.com where he writes about Cloud and business software related issues.

Enterprise-caliber Cloud BI

DATA DISCOVERY VS BI What is the difference.

What do you need. How do they relate.

11

WHAT DRIVES NEED FOR DIFFERENT TOOLS?

Data Discovery

•  A few application tables •  Single spreadsheets •  Business databases

Explore & visualize data relationships

Use Case

Give data business context

Give data analytic and historical structure

•  Enterprise applications •  Multiple disparate sources •  Home-grown applications

Enterprise BI

Create analytic applications

Use analytics as part of daily business process


Knowledge Worker

Operations Manager

Executive

Reporting Manager

Financial Analyst

Data Analyst Knowledge Worker

Users

12

WHY ARE THEY SEPARATE?

•  A few application tables •  Single spreadsheets •  Business databases

Knowledge Worker

Operations Manager

Executive

Reporting Manager

Financial Analyst

Data Analyst

Use Cases Users

Give data analytic and historical structure

•  Enterprise applications •  Multiple disparate sources •  Home-grown applications

Explore & visualize data relationships

Create analytic applications

Use Analytics as part of daily process


Data Discovery & Enterprise BI

13

VISUAL ANALYTIC SILOS: "4 FAST ANSWERS TO 1 QUESTION

Revenue = Qty * Price (ship date)

Revenue = Qty * Price (delivery date)

Revenue = Qty * Price * Discount (ship date)

Revenue = Qty * Price * Discount (delivery date)

Why did western region revenue drop unexpectedly last quarter?

Does anyone even know exactly what our western region revenue was last quarter?

14

LOGICAL LAYER: "1 ACCURATE & FAST ANSWER TO 1 QUESTION

Logical Layer

Revenue = Qty * Price * Discount (delivery date)

Why did western region revenue drop unexpectedly last quarter?

Inventory stock-outs in select retail stores resulted in unexpected backlog on lower revenue

15

ENTERPRISE CALIBER CLOUD BI

DW

Sandbox Sandbox

Unified Logical Model

ODS

Live Query

Data Extract

Public Cloud Appliance Private Cloud

Automated Warehouse

Dashboards

Discovery

Reports

PredicAve

published

mobile

embedded

real-time

Web-based

Finance Data CRM Data OperaAons Data More Data (SQL, XML, File, MDX)

*patented automation

16

WHO IS BIRST •  Enterprise-Caliber BI Platform

– born in the cloud •  4,000+ organizations rely on

Birst across all verticals •  Founded by Siebel Analytics

veterans •  60+ Strategic Partners

“ No. 1 in product functionality and customer (that is, product quality, no problems with software, support) and sales experience.”

17

DIFFERENT TOOLS FOR DIFFERENT USE CASES Data Use Case Example Why Discovery A few tables and addiAonal flat files

Explore new data relaAonships

Product manager explores idea of launching new product

Rapid Ame to explore and play with mulAple possibiliAes

Large flat files Ad-‐hoc discovery on new data

MarkeAng analyst reviews Rapid Ame to access new data and build one-‐off analysis

A few applicaAon tables

Explore analyAcs for future dashboards

Sales operaAons explores CRM data for dashboard ideas

Quick turn-‐around and iteraAon on analyAc design

Data Use Case Example Why BI Hundreds of applicaAons tables

Create analyAc applicaAons

Sales ops creates dashboards from CRM for sales reps to manage day-‐to-‐day

Transform transacAonal data to analyAc data and deliver reusable & secure dashboards

TransacAonal applicaAon data

Analyze the velocity of your business

Ops manager analyze speed of an order through manufacturing

Ability to capture history and compare to current performance

Disparate sources with different structures

Analyze business across applicaAons

Analyze and manage cross-‐funcAonal KPIs like customer lifeAme value

Data integraAon and ability to handle changes in organizaAonal dimensions


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Perceptions & Questions

Analyst: John O’Brien

© Copyright 2013 Radiant Advisors. All Rights Reserved v1.10.000

DATA DISCOVERY AND BI

19

Inside Analysis – The Briefing Room with Birst December 3, 2013

John O’Brien | Principal Analyst and CEO, Radiant Advisors

@obrienjw @radiantadvisors

[email protected]

Is there really a difference?


Data Discovery and BI: Is there really a difference? BI AND DISCOVERY PROCESS

BI Process •  Defining business goals metrics •  Analyzing business processes •  Identifying operational data •  Define business logic and rules •  Define mapping and quality rules

Analysis -> Design -> Develop Reports: Define what happened OLAP: Defined metrics/dimensions Dashboards: Defined metrics/goals Scorecards: Defined KPIs/variance

Discovery Process •  Clear business goal (mission) •  Inherent business knowledge •  Access data and work with context •  Ability to iterate analytic models •  Ability to share and verify findings

Discover -> Verify -> Govern Discovered context to governed Discovered analytic models Data shows how the business works Data shows how the market works


Enable Highly Iterative

Access, assemble, verify, deploy process and modern data platform

Enable fail-fast, short shelf life, personalized to enterprise context

Self-Sufficiency is the New Self-Service

Agility and data integration through abstraction usage

Capability to acquire and work with data

Intuitive Visualization Tools Oriented

Enabling many business analysts not just programmers

Discovery happens with the user but needs to be in the platform

Data Discovery and BI: Is there really a difference? CHARACTERISTICS OF DISCOVERY


Governing People, Roles, Responsibilities

Define roles and responsibilities for accessing and working with data

Define ownership and delegation for semantic context discovered

Governing Discovery Results

Governing semantic context after discovery

Operationalizing and monitoring analytic models

Modern Data Platforms

Managing data abstraction and mixed workloads

Defining discovery or analytic sandboxes as dev, prod or both

Data Discovery and BI: Is there really a difference? NEW FOR DISCOVERY


Valu

e

Users Involved

Power Users

Analysts & Casual Users

MapReduce

çHCatalog

BI To

ol

Very Few Data Scientists

Many Many Consumers

DB

More Analysts

Hadoop HDFS

Hiv

e

PIG

Data Discovery and BI: Is there really a difference? UNLOCKING VALUE WITH MANY USERS


MapReduce

Stru

ctur

ed

Uns

truct

ured

Context in structures

Context leveraged

Context in structures

Context(s) leveraged

Context in abstraction BI Tools Direct access

Hadoop HDFS

Hiv

e

PIG

MapReduce

Individual Context with Data Scientists

Centralized Context in abstraction

Context in Data Scientists


More Rigid More Agile

HCatalog

Hiv

e

PIG

M/R

Hadoop HDFS

Data Discovery and BI: Is there really a difference? GOVERNING SEMANTIC CONTEXT


MapReduce

Stru

ctur

ed

Uns

truct

ured

Context in structures Context in structures

Context in abstraction BI Tools Direct access

Hadoop HDFS

Hiv

e

PIG

MapReduce

Individual Context with Data Scientists


Context in Data Scientists


More Rigid More Agile

HCatalog

Hiv

e

PIG

M/R

Hadoop HDFS

Data Discovery and BI: Is there really a difference? GOVERNING SEMANTIC CONTEXT


BI

Tool

Hadoop HDFS

Hiv

e

PIG

M/R

ç HCatalog

Very Few Data Scientists

Many Many Consumers

More Analysts/Modelers

Many More Analysts

ç

Few Analysts/ Modelers

ç

ç

BI

Tool

Test

Verify

Iterate

Migrate

Discover

Discover Context

Defined Context Available to

Structured Database

Data Discovery and BI: Is there really a difference? DISCOVERY IN THE BI PROCESS


THANK YOU!

For more information

www.RadiantAdvisors.com

Twitter: @RadiantAdvisors #ModernBI #RediscoveringBI

RSS: feed://radiantadvisors.com/feed/

Email: [email protected]

LinkedIn: www.linkedin.com/company/radiant-advisors

Subscribe: Rediscovering BI quarterly e-magazine

www.radiantadvisors.com/rediscoveringbi


Inside Analysis – Birst ANALYST QUESTIONS

A Birst differentiator is your Cloud based approach.

1.  Do you access, load, integrate company on-premise data to cloud?

2.  Is there a ‘with or without’ Amazon Redshift option?

3.  Do you recommend that Discovery be an environment in the cloud?

Birst has a uniform logical layer as part of its self-service architecture.

4.  Do users or administrators create abstractions or views within Birst?

5.  Can users share and collaborate their logical models or discoveries?

Visualization is a powerful intuitive way to work with data.

6.  How do you prepare your users for choosing visualizations correctly?


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Upcoming Topics

www.insideanalysis.com

2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room

This Month: INNOVATORS

January: ANALYTICS

February: BIG DATA


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Thank You for Your

Attention

data discovery and bi - is there really a difference?

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