implementing a successful, scalable, governed bi program

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Implementing a Successful, Scalable, Governed BI Program March 24, 2015

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Implementing a Successful, Scalable, Governed BI Program

March 24, 2015

BI Office

Today’s host and speaker

Susan Joly: SpeakerBI Independent Consultant

Jon Moody: HostDirector of Marketing

Pyramid Analytics

BI Office

To ask a question

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Goals of this presentation

Explore elements, challenges, and tips in orchestrating a successful BI program

Show highlights from BARC BI Survey

Feature Gartner research

Look at Pyramid Analytics’ approach

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Implementing a BI program is challenging

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Product selection can feel overwhelming

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Pers

onas

Manager Bill

Data Scientist Daisy.

Report Analyst Anna

Stewart Data Steward

Vicki Business User.

Miguel IT Manager/Operations

Consider your users’ needs

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“The need for platforms to scale and perform for larger amounts of diverse data will also continue to dominate BI market requirements. At the same time,the ability to bridge decentralized business user-led analytics deployments with those centralized to serve the enterprise will be a crucial ongoing challenge for IT and BI vendors.”*

* Source: 2015 Magic Quadrant for Business Intelligence and Analytics

2015 Magic Quadrant for Business Intelligence and Analytics Platforms

For more information, read the 2015 Magic Quadrant for Business Intelligence and Analytics Platforms.The Gartner document is available upon request from Pyramid Analytics.

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Filter out the technology buzz

“The importance of finding the right solution for your organization should not be underestimated. Companies typically use Business Intelligence products for an average of 7-10 years, so choosing software is a long-term decision.”*

* Source: The BI Survey 14 - Best Practices

Look at

current

needs

Look at

future

needs

Build on

current

investments

Avoid

proprietary

architecture

BI Office* Source: The BI Survey 14 - Best Practices

Implementation speed matters!B

usi

nes

s B

enef

its

Ind

ex: w

eigh

tin

g sy

stem High

Moderate

Low

Not achieved

Don’t know

“Aim for a implementation window for the first application. If possible, try an incremental approach three to sixth month by breaking the project into a series of smaller projects.”*

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Wide range of persons can benefit

Can quickly load data, perform meaningful analysis,

and use advanced visualization

Can help justify costs and avoid pitfalls later

Careful product selection pays off

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Broad appeal vs. silos

Broad appeal

• Used across the enterprise

• Single place to access BI information

• Wide range of user needs met

Siloed data models and tools

• Diminished data quality

• Inconsistent reporting and metrics

• Decreased security, scalability, ROI

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“Gartner inquiries and survey data suggest that, increasingly, companies would like to expand use and even standardize on data discovery platforms for their larger enterprise BI deployments but find that in many cases these platforms lack the necessary enterprise features in relation to governance, administration and scalability, among other things.”*

* Source: 2015 Magic Quadrant for Business Intelligence and Analytics

For more information, read the 2015 Magic Quadrant for Business Intelligence and Analytics Platforms.The Gartner document is available upon request from Pyramid Analytics.

When choosing a standard, consider data discovery, but also governance, scalability, and security.

The need for governed data discovery

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Eliminate

silos

Improve

data quality

Increase

scalability,

maintainability

and security

Increase ROI

Standardize on a platform to reap benefits

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Survey results

To see the headline results for Pyramid Analytics in the BARC BI Survey 14, download the summary.

Pyramid Analytics is a leading

vendor in project success and

proportion of employees. It’s

either leading or top-ranked in

chosen as standard, compared to

its three vendor peer groups. Dashboard

Visual Discovery

OLAP Analysis

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BI Office helps drive a successful, scalable, governed BI program

Dashboards

Interactive, advanced visualization

System and server checks

Data mashup

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Define top

business

goals, and

user needs

Include

governance,

not just data

discovery

Solve for

today and

long-term

Build on

backend

technology

investments

Key takeaways

Implement

in a timely

manner

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• BARC, Headline Results for Pyramid Analytics in the BARC BI Survey 14, October 2014.

• BARC, BARC BI Survey 14 Best Practices, October 2014.

• Gartner, Magic Quadrant for Business Intelligence and Analytics Platforms, Rita L. Sallam, Bill Hostmann, Kurt Schlegel, Joao Tapadinhas, Josh Parenteau, Thomas W. Oestreich, 23 February 2015.

• Gartner, Predicts 2015: Power Shifts in Business Intelligence and Analytics Will Fuel Disruption. Josh Parenteau, Neil Chandler, Rita L. Sallam, Douglas Laney, Alan D. Duncan, 21 Nov. 2014.

References