The Swinburne Story Creating a Data Culture Introduction to The Data Experience From analysts to enterprise

Transcription

1 The Swinburne Story Creating a Data Culture Introduction to The Data Experience From analysts to enterprise CRICOS 00111D TOID 3069

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3 Analytical Transactional Aggregated Business Analytics team focus, functions and offerings we provide Swinburne Information Hub (SIH) Executive reporting Management reporting Exploratory reporting Dynamic Ad-hoc Scorecards, Dashboards, Analysis Reports visualised in Tableau Consolidated sources of data Tableau trusted data sets Student One Student One - Operational reporting Single source reporting direct from one system Data quality management of student data Government submissions Government reporting Data submissions for the Government Ensure compliance to regulatory requirements Analytics University Wide analytical models Advanced analytical capability Data based strategic decision making

4 What was our starting point? Issues within the business analytics team No data repository, leveraging replicated data files Requests unmanageable, unable to keep up Between a dumping ground and a graveyard Tech-specific skill set Issues across the organisation Multiple data views creating confusion and conflict No single point of reference for University Lack of trust in reporting produced Increasing need to be faster

5 DAPPER project (aka data capability lift-off) A new approach and solution Initial tech focused POC with mixed success New team, skills and approach Project rebooted to engage stakeholders & business Moved from project focus to Enterprise Stopped thinking like a project We shifted the capability and understanding of data We shared data skills and responsibility Lifted the gaze

6 Who are we (video)

7 Foundational areas of success Direction & Ask Business Consulting Change Management Visualisation Data Governance Data in the Cloud Training Clear picture of the journey Have what you need to bring the required change Aligned to University strategy Way of working to engage with the business Assign a functional area to each Business Consultant Rebranded platform Process and success via journey wall Labs, forums and online for communication Tableau deployed to the enterprise New design approach for all content Consistent navigation and content Data governance was key Focused on data standards initially Business heavily involved First single repository for University data Successful PoC on AWS set the direction Cloud provided speed and cost benefits Face to face training Executive sessions No training, no access Training on why as well as what

8 Clear and easy to understand strategy Direction & Ask Provide an easy to understand and follow strategy for our stakeholders Communicate planned delivery of sourcing data through to metrics, dashboards and analytic models

9 Progress and deliverables Direction & Ask Communication tool for stakeholders and users on what the Tableau platform had available and highlighted key content delivered

10 An internal consulting approach Business Consulting We needed to work at the pace of the business so we introduced a new way of working We identified, trained and invested in a team of business consultants and data engineers to support the business

11 Change the what, how and why? Change Management Re-launched and put ourselves out there Created a brand DAPPER Leveraged journey walls, LAB, word on the street alongside traditional comms

12 Consistent and easy to use Visualisation Landing page for entry to all aspects of the DAPPER platform Same look and feel icons to link back to landing page, filters always on the left, no more then 6 reports to a page Providing scorecards, dashboards, exploratory tables and trusted data sets for adhoc building by users

13 Data standards & data quality Picked the pieces of Data Governance that we needed to drive trust and consistency in the data Great tool to drive business involvement and for them to understand their role and how that drives success Simple and doable for a small team - now embedding in whatever we build and deliver to the business Data Governance

14 Proof of concept to enterprise repository Data in the Cloud Amazon EMR Amazon Redshift Dev/ UAT Amazon Redshift - Prod client Driven by speed and cost we ran a PoC on AWS - we got past the myths of security, encryption and performance Amazon S3 encrypted data VPC subnet router VPC contents SSL Connection AWS - ap-southeast-2 (Asia Pacific (Sydney)) virtual private gateway Internet gateway VPN connection SSL Connection customer gateway Internet gateway firewall encrypted data Swinburne data center Internal Sources ESB Flexibility to experiment with new functionality and solutions always looking to drive down complexity and cost

15 Viewers to creators a controlled journey Discovery Sharing Creating Governance Pathway Training Dapster Dashboards PDF & Links Filters Use Introduction Tableau Viewers 800+ users Dynamic Dapster Data Sets Save as Web Edit Contribute Build content Download Dapster Download Save as Web Edit Responsible Responsibilities Tableau Explorers 90+ users Data Dapster BYO Data Publish Desktop Share Fundamentals Course Makeover Monday s Dynamo Dapster BYO Data Publish Desktop Lead Advanced Course Makeover Monday s Certification Tableau Creators 20+ users

16 DAPPER is utilised across the University 174 reports, 800+ users, 15,000+ report views annually Training Usage across almost every department Usage velocity is growing, with gaps helping prioritise training New content being added (i.e. LMS, CRM, DXP) will drive further interest and adoption

17 with information consumed in a variety of ways Navigation Landing Page Build Templates Web Edit Functionality Filter Based Reports Exploratory Reports Scorecards - Swinburne on a Page Analysis Dashboards Management Reporting

18 Data culture case study interactive insights Committee meets regularly prior to intake periods to evaluate marketing and recruitment activities Restricted access controls who can see commercially sensitive data Online meetings, with users interacting with and sharing filtered views refreshed daily in production Prior to DAPPER, spreadsheets created manually across various teams each week and sent via

19 Data culture case study data democratisation HEIMS reports identify market opportunities, bringing together comparative enrolments benchmarked against Australian universities No prior reporting available - the business sourced information manually c/o publications and websites with no enrolment counts

20 Data culture case study delivery efficiency Previously took >1wk from raw QILT data to Tableau reports; now takes ~30min to upload data that s available immediately Austrade data previously significantly underutilised, was delivered in Excel format making it hard to work with

21 Foundation Analytics Foundational work supports analyticsng the maturity of data by showing Student load modelling, timetabling and resource planningthe value of analytical models DecisionTreeRegressor RandomForestRegres GradientBoostingReg ExtraTreeRegressor Ensemble 99.58% 99.41% 99.21% 99.58% 99.49% Using the solid foundation of trusted and rich data has enabled us to develop valuable analytical solutions More accurate RSE projections improves scheduling, resource utilisation and accuracy of government estimates

22 Foundation Analytics Foundational work supports analyticsng the maturity of data by showing Student attrition propensity modelling and interventions Student attrition propensity modelling and trial intervention campaigns are helping prioritise timely support This will be further enriched with richer learning analytics and student CRM data which we plan to provision via DAPPER

23 Realising the value estimated to exceed $3m Survey of 230 users before we developed DAPPER Data prep Reporting 1, ,375h month ~6% month 99,130h Team 51,840h year Extrapolating effort per annum across 800+ Dapsters less the total resources in our team

24 The Data Experience A new Swinburne incubation creating data change The Data Experience is a new data consultancy founded at Swinburne University, focusing on creating Future Ready Learners We exist because: Skills shortage Combining soft and technical skills We aim to achieve: Tableau and cloud skilled individuals Services leveraging a strong methodology A proven approach A team from which clients can recruit from

25 Holistic thinking in delivery Business consulting as a new way of working Knowing the direction ensures value in the solution Change management know the impact of your work Building visualisations is a small part of the success Grow data governance with everything you deliver Data management driving consistency and trust Training can t be the forgotten piece of the puzzle

26 The Data Experience services Consulting Experimental Lab Resourcing Learning Enabling Problem solving Try new technology Business focused Certified, well rounded consultants Delivering Extend your capability Part of your team Sharing our approach, boot camp and methodology or working with clients to deliver projects A lab set up to test client business problems on the latest technology provided by Tableau and AWS Our team working in your team bringing experience in our methodology and the latest in Tableau and AWS

27 Questions and feel free to contact us Michele Martin Matt Rudd