data discovery vs bi webinar

Enterprise-caliber Cloud BI

DATA DISCOVERY & BI: !FRIENDS, FOES, OR FAMILY?

February 12, 2014

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WEBINAR NOTES

A"endees  Muted  Upon  Entry  

Please  send  ques5ons  using  the  online  interface  

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FEATURED SPEAKERS  Nina  Sandy  Principal  Analyst  Nucleus  Research      Southard  Jones  Vice  President,  Product  Strategy  Birst    Micah  Terry  Senior  Solu5ons  Engineer  Birst    

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AGENDA

• Data Discovery and BI – The Right Fit

• Birst’s BI Platform

• Demonstration

• Q&A

NucleusResearch.com

Data Discovery and Business Intelligence

Nina Sandy +1-617-720-2000

nsandy@nucleusresearch.com

NucleusResearch.com

About Nucleus Research

A technology research firm specializing in value-based research.

>  Founded in 2000, based in Boston MA

>  Similar to other firms but value is the foundation of the research approach

>  Hundreds of published ROI case studies

>  Standard, consistent, globally understood research methodology

NucleusResearch.com

Data Discovery and Business Intelligence – Uncovering the Best Fit

Companies have traditionally adopted business intelligence solutions to support business decision making on an ongoing basis, bringing data from transactional systems into a common data structure or warehouse for report building and analysis. Emerging data discovery tools have focused instead on the need for rapid integration of new and unstructured data for more tactical analysis and decision making. We will look at the benefits both bring to an organization and provide some key factors to consider when evaluating which approach provides the best fit.

NucleusResearch.com

The Situation

>  What is Business Intelligence?

>  BI includes the applications, infrastructure and tools to improve and optimize business decisions and performance.

>  Generally, there is a single version of the truth >  The majority of end users are not data scientists, and leverage the

single source of truth (semantic layer) for their analysis

NucleusResearch.com

The Situation

>  What is Data Discovery? >  Enable data savvy users to develop and refine views and analyses of

quantitative, structured and unstructured data >  Users commonly have greater flexibility in their choice of data and

data sources in their investigative analysis.

>  Data discovery users tend to be data scientists or advanced business analysts

NucleusResearch.com

The Factors to Consider

>  Time to Deploy >  Quick cloud deployment, or implementation of a complete solution

>  The Half-Life of the Data >  Not all data has the same value or relevance over time

>  Enterprise Reporting versus Tactical Analysis >  Broad distribution or specialized investigations

>  Analysts are looking for that specific nugget or anomaly in the data and often use the results of their analysis to feed the BI audience.

NucleusResearch.com

The Factors to Consider

>  One to One versus One to Many >  Focused investigative analysis or operational analysis

>  Data Sources and Integration >  Data aggregation and consistency

NucleusResearch.com

Common Use Cases

>  Data discovery analysis tend to require extremely efficient processing of large volumes of data. In many cases, this data may be from unstructured or external sources, such as social media streams, market

>  Business Intelligence is used against many forms of data, including unstructured and structured data, including large volumes of data.

NucleusResearch.com

Summary

>  Data discovery delivers an important capability to provide ad-hoc and individually driven analysis of specific data sources.

>  BI provides a combination of analytical capabilities- combining

database and warehousing requirements

>  The decision should not be which one to focus on, but should start by considering the business needs, corporate profile of employees, current technology investments, and the business goals associated with business analytics.

NucleusResearch.com

Resources

Nucleus Research Web site: NucleusResearch.com

Nucleus Research knowledge center >  O26- Data Discovery and Business Intelligence >  M36 – Measuring the Half Life of Data >  M17 – The Stages of an Analytic Enterprise >  N167 – Enterprise software must adopt the principles of Dark Cockpit

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BIRST’S BI PLATFORM

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GENERATING INSIGHT Extract

Business Context Visualize

0  

50  

100  

150  

Revenue  

Price  

Extract Business Context Visualize

0  10  20  30  40  50  60  70  

North   South   West     East  

Revenue  

Price  

Extract Business Context Visualize

0  

20  

40  

60  

80  

North  South  West    East  

Revenue  

Price  

•  Data is messy

•  Making data analytic ready is hard

•  Making data consistent for all users is even more challenging

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ANALYTICS NEEDS VARY

Financial Advisor

I want to track performance in specially designed dashboard

Product Manager Can I ask some ad-hoc “business” questions – without

touching the dirty data?

Why do we spend so much time arguing over who has

the “right” number? Sales Ops

Manager

VP of Supply Chain

Distribute a report looking exactly this way every morning to thousand of

clients

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THE CHALLENGES OF ANALYZING DATA •  The “back-end”

–  Data management is hard –  At the cost of data integrity comes “slower response” –  At the cost of speed comes data integrity

•  The “front-end” –  Users want independence and speed –  Users want tools to meet their specific needs

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Pixel Perfect Enterprise Reporting

TOOLS FOR EVERY SITUATION Distributed Interactive Dashboards

Visual Data Discovery and Exploration Predictive Analytics

Rich Analytic Design Studio Mobile Analytics

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Automated  Data  

Management  

Automated  Historical  &  Analy5c  Data  

Store    

Logical  Layer              

Smart    Analy5c  Engine  

Enterprise Reporting

ENTERPRISE CALIBER CLOUD BI !ONE LOGICAL MODEL IN ONE LOGIN

Interactive Dashboards

Visual Discovery

Design Studio

Mobile Analytics

Pixel Perfect Enterprise Reporting

Predictive Analytics

Predictive Analytics

Distributed Interactive Dashboards

Visual Data Discovery and Exploration

Rich Analytic Design Studio Mobile Analytics

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Power to analyze any data

Accuracy across all users

Agility to handle new questions

Enables all users with a set of tools unique to their needs

Creates a single source of the truth for all data and business rules

Automates process of taking raw data and making it analytic ready

Single end-to-end Cloud BI platform

UNIQUELY DELIVERING RESULTS It does You get We Provide It Does You Get

A unified business library

BI Automation & Data Integration

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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

•  80+ Strategic Partners

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

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LEADERS RELY ON BIRST

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DEMONSTRATION

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Q&A

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LEARN MORE • Download  Nucleus  Report  

–  Birst.com/nucleus  

•  Join  us  for  a  Live  Demo  –  Every  Tues  and  Thurs  @  

11:00  am  PT/2:00  pm  ET  –  birst.com/livedemo  

•  Contact  us  –  info@birst.com  –  (866)  940-­‐1496  (or  +1  415-­‐766-­‐4800)  

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THANKS