adding value through bi: a jisc perspective

Marianne Sheppard, Jisc infoNet

June 2014 Adding value through BI: the view from Jisc

What does Business Intelligence mean to you?1. BI is an umbrella term that includes the applications, infrastructure

and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.

2. BI is the use of computing technologies for the identification, discovery and analysis of business data - like sales revenue, products, costs and incomes.

3. BI simplifies information discovery and analysis, making it possible for decision-makers at all levels of an organization to more easily access, understand, analyze, collaborate, and act on information, anytime and anywhere

4. BI is evidence-based decision-making and the processes that gather, present, and use that evidence base

5. Computer-based techniques used in spotting, digging-out, and analyzing 'hard' business data, such as sales revenue by products or departments or associated costs and incomes

Adding value through BI: the view from Jisc 2

Gartner

Technopedia.com

Microsoft

Jisc

Businessdictionary.com

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Examples of attributes of a BI system

Accessible when needed Concise, pictorial or graphical Up to date, current Known update times and intervals Can select data for [any, or defined] time period Good, reliable quality and integrity of data items [All, major] internal information sources are

included Drill-down and roll-up capabilities (zoom in or

zoom out; allowing broader or narrower views, as the user requires)

Easy to understand

And many more….

Adding value through BI: the view from Jisc

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(Some of!) the challenges

Strategic alignment Process realignment Change management Data usage Data definition and management Data visualisation Vendor issues

And many more….


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More institutional perspectives of the pros and cons


Jisc BI Journey to DateEngage HESA, HESPA, UCISA, ARC,

AHUA, UHR, Guild HE, UUK

National

research fed

InfoKit V1

Project Phase to road test V1

Analytics

included as

series of

reports

InfoKit update

d

Jisc/HESA

BI Servic

ePlans

2010 2010 2011/12 2012/13 2013 2014


http://blog.observatory.jisc.ac.uk/analytics/

http://www.jiscinfonet.ac.uk/infokits/business-intelligence/

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The BI infoKit

http://bit.ly/jisc_bi


http://bit.ly/jisc_bi

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Jisc / HESA Project Objectives

»Promoting sector maturity and capability for BI»Bring the benefits of BI to wider staff groupsThrough;› Building on HESA expertise and experience of

Heidi› New technical service provision with satellite

services› Providing an experimentation area› Exploring non-HESA data sets› Investigating data upload for benchmarking


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Jisc / HESA BI Service


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Phase 1 (core service)

› Up to date, enhanced service offering analyses, data visualisations and dashboards based on Heidi

› Ongoing community generated list of questions› A range of analyses, visualisations & contextual

supporting information for safe onward use › Allows users to generate own analyses /

visualisations› Existing Heidi features to allow on site data

export (API)› Development of training and support materials to

enable best use


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Phase 2A (experimentation)

› Explore new analyses / visualisations & sustainability options based on non Heidi data sets

› Negotiated access to appropriate data sets› Produces analyses / visualisations combining

sources › rapid deployment with analysis of demand &

options for sustainability › Cross institutional collaborative exploratory work› Nascent national data catalogue for BI in HE


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Phase 2B (benchmarking)

› Explore a new data capture and integration system to enable peer-to-peer institutional benchmarking

› Data capture to be agile and user controlled

› Provides tools data framework and definitions

› Users choose with whom to share › A sector led response to the efficiency

agenda


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Timescales

»Milestones› 1 August project starts› Last quarter 2014 hire projects› Phase 1 tools available mid 2015› Phase 2 tools available late 2015› Project phase concludes 31 July 16

»Keep in touch› [email protected]


mailto:[email protected]

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Library Analytics Project (LAMP)

Available now in beta

• A shared analytics service

• Allows raw data upload on students; UCAS, Registry and Library

• Project creates dashboards / visualisations giving insights into how students use services

• Identifies students following a path of failure

• Allows cross institutional benchmarking


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LAMPNext Steps

• Automating visualization / dashboard creation

Overall

• Gives students and stakeholders access to their own data to;• Action the insights• Following paths to success from failure

• Contact Ben; [email protected]

• Blog http://jisclamp.mimas.ac.uk/


mailto:[email protected]

http://jisclamp.mimas.ac.uk/

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