conferenz.co.nz/bi

business intelligence2018

summit

Sky TVPorts of Auckland Cigna New Zealand Xero McCarthyFinch Kotahi JUCY BNZ New Zealand Police AA Insurance Auckland Transport The Warehouse Group

today’s hottest emerging topics within BI:

• Tracking the applications of AI & machine learning in unstructured data

• Semantic web technologies for new insights into data

• Aligning Cloud with BI and analytics

• Data vaults and data lakes to architect information

• Automated and agile dashboards

expert insights, opinions & case studies from:

26-27 march 2018 | grand millennium auckland

Supporting Organisation:Media Partners:Bronze Sponsor:

transforming BI services to add value to data

The 2018 Business Intelligence Summit uncovers and examines BI programmes through the use of Cloud, AI, machine learning and analytics.

Why you just cannot miss the 2018 Business Intelligence Summit:

• Unlock opportunities from AI, machine learning and the semantic web for BI

• Gain varied insights into driving value from your BI programmes through panel discussions, industry case studies and expert insights

• Sharpen your visualisation skills on the full-day post-conference workshop

• Network with your peers at lunch and drinks

who you will meet at the 2018 BI summit:

BI & analytics consultants - 31%

Data scientists

and analysts

- 29%

Data, BI & IT

architects - 13%

Business performance & finance analysts - 14%

Spatial / GIS data Scientists - 9%

Other BI professionals - 4%

8.30 REGISTRATION AND COFFEE

8.50 Welcome from the Chair

examining emerging trends within BI

9.00 Recognising signs of the dynamic data economy and its opportunities for the future · The age of Machine, Platform and Crowd · Designing your strategy for defense and offense · The changing nature of decision supportSam Daish, Head of Data Innovation, Xero

9.50 Augmenting BI with Data Science to supplement informative decision making · Changing digital landscapes, and the need for data science to solve business problems with greater performance and productivity

· Designing a coexisting architecture for BI & Data Science

· Practicalities of implementing Data Science solutions into BI programmes

Ganesh Selvaraj, Data Science, Big Data and Artificial Intelligence Consultant

10.30 MORNING BREAK

11.00 Making sense of the unstructured data by cognitive computing and ML · Gaining business value from unstructured text by leveraging NER and emotion detection

· Running predictive analytics on large volumes of text data

· Using machine learning algorithms and NLP to extract insights from unstructured data

Elroy Gonzales, Senior Data Scientist, The Warehouse Group

exploring analytics to drive BI solutions

11.40 Hybrid BI - Taking decision-making and insights to the next level with real-time predictive analytics · Utilising collected data to customise content based on user behaviour

· Making real-time information streams appear relevant to each user group

· Using prescriptive and descriptive analytics to mine cause-effective scenarios for investigation

12.20 Delivering Big Data using Kaizen · Tying Big Data to business strategy · Big Data meets Lean data · Delivering Big Data Platform and Insights through

incremental stepsDnyanesh Prabhu, Enterprise Architect, SKY TV New Zealand

1.00 LUNCH BREAK

2.00 Using analytics to gain insights into customer behaviour · Measuring customer engagement across platforms · Analysing cohort behaviour based on past metrics · Considering information sharing across platforms

putting BI into business strategy

2.40 Case Study: Implementing an internal BI consultancy service · Integrating BI within business to allow easier access to information

· Tackling coordinated BI project implementation across organisations

· Empowering trust in analytics and algorithms to dispel right and relevant information

Andrew Kerr, Business Intelligence Developer, Cigna

3.20 AFTERNOON BREAK

3.40 Case Study: Leveraging Business Application Platform to Support Digital Transformation · Building user-centric analytics to enable business users to track real-time KPIs and identify challenges and bottlenecks

· Empowering users to act on the analytics and automate manual business processes through rapid app development

· Deploying the right business intelligence technologies to support enterprise-wide digital transformation

Dr. Xiaoyan (BAI) Bai, Information and Analytics Manager, ICT, Ports Of AucklandMike Osborne, Head of Engineering, Port Operations, Ports of Auckland

4.20 Creating the path toward data-driven business vision · Investing in BI technology frameworks to push organisational performance

· Avoiding the trap of over-focusing on platforms vs too little focus on strategy

· How much data is too much?Malcolm Fletcher, Senior SQL Developer, ASB Bank

5.00 Summary remarks from the Chair and networking drinks

agenda DAY ONE 26 march 2018

9.00 Welcome back from the Chair

using technological innovation to add value to BI

9.10 Utilising semantic web technologies to discover new insights from data · Insights into the semantic web and its inner workings

· Design and development of a semantic web infrastructure for BI

· Securing the semantic web infrastructure Rivindu Perera, Senior R&D Engineer, McCarthyFinch and AI Researcher, AUT

9.50 Case Study: Using BI & Analytics on the Cloud to digitise the global supply chain · Analytics and Big Data is core to our digital transformation

· Being Cloud-based is enabling industry collaboration · Learnings from our journey and the challenges ahead

Lauren Percy, Enterprise Architect, Kotahi Logistics

10.20 MORNING BREAK

storing, mining and reporting data for actionable insights

10.50 Data vaults vs data lakes - Architectural considerations for structured and unstructured data · Matching data lakes and data-vaults with organisational systems, culture and processes

· Choosing on-premise or Cloud-based storage options

· Real world considerations for best practice implementations

Phillip Higgins, Business Consultant, Phillip Higgins Consulting

11.30 Case study: Transforming your BI/BA operating model - The NZ Police story

Gain first-hand insights into how NZ Police bootstrapped its business intelligence operating model to unlock analytical insights from its dataGavin Knight, Chief Data Scientist, NZ Police

12.10 LUNCH BREAK

1.10 Panel Discussion: Taking the first step to data-driven operations - Preserving the quality of your information · Measuring and managing data to improve overall data quality in relation to business goals

· Improving agility on data governance processes to relate to strategy

· Cutting out technical debt and legacy systems from data management processes

Nina Herriman, Data & Analytics Manager, AA InsuranceTristin King, Head of Technology, JUCY Group

1.50 Combining engagement, visualisation and information - Examining the GenNext of automated and agile dashboards · Creating rooms for continuous integration with changing KPIs and strategy

· Separating visualisation narratives to cater to beginner and expert mentalities

· Measuring the business impact and call to action of information presented

Ivan Wells, Head of Business Intelligence, BNZ

2.30 AFTERNOON BREAK

3.00 Tracking the practical application of report visualisation · The user’s perspective on visualisation as means of enhancing business insight

· Obtaining value from data · Lessons learned along the visualisation and reporting deployment journey

Nalar Mohamed, Capital Performance Manager, Auckland Transport

4.20 Closing Remarks from the Chair and end of Conference

84

3

industries represented:

Banking & Insurance

Local and Central Government

Logistics & Retail

IT & Telecommunications

Education & Health

Other industries

DAY TWO 27 march 2018

28 march 2018 | 9.00 - 5.00

post-conference full-day workshop

EXPLORING DATA VISUALISATION AND CREATING DASHBOARDS WITH MICROSOFT POWERBI

As organisations increasingly work with data, the focus has shifted from creating reports to creating more visual models using analytics. This hands-on workshop takes your data analytics skills to the next level as we discuss visualisation across a range of software and programmes. At the end of the day, you will have gained the knowledge to apply visualisation techniques across a range of platforms including R, DAX, Tableau and PowerBI, in addition to receiving templates to take away and work on your own.

WHAT WE WILL COVER:

· Evaluate and create fundamental and advanced visualisations

· Learn the use cases for data visualisation techniques

· Hands on practice with a number of key visualisation tools such as Tableau, R and PowerBI

· Data visualisation for BI and advanced analytics

· Learn the basics of R in a stand-alone and PowerBI environment

Facilitated by: Phillip Higgins, Business Consultant, Phillip Higgins Consulting

Phillip is a data- and insights-focused consultant working in the areas of BI, Big Data and Analytics. His experience encompasses a range of industries, and with recent engagements in Big Data

and digital transformation through IoT, he will share his insights into best practices for building the next generation of BI platforms. Phillip presented 2017’s very popular workshop on data visualisation and by popular demand he is back to help you develop your visualisation skills further!IT &

Telecommunications

SPONSORSHIP AND EXHIBITION OPPORTUNITIES

The annual NZ BI Summit is a great opportunity to showcase your business intelligence and analytics

solutions to over 100 attendees. To discuss the range

of opportunities available, contact us on:

(09) 912 3616 or sponsorship@conferenz.co.nz

Would you like to

BRING YOUR TEAM? Competitive group booking options available.

Contact us for more information.

BOOKING OPTIONSSUPER SAVER

Register & Pay before 5pm

7 FEBRUARY 2018

EARLY BIRDRegister & Pay before 5pm

28 FEBRUARY 2018

LAST MINUTERegister & Pay after 5pm

28 FEBRUARY 2018

CONFERENCE $2,299 + GSTSAVE $300

$2,499 + GSTSAVE $100

$2,599 + GST

WORKSHOP $1,199 + GSTSAVE $300

$1,299 + GSTSAVE $200

$1,499 + GST

Agenda Updates: Conferenz Ltd reserves the right to make any amendments deemed to be in the best interest of the conference. Agenda is correct at time of printing, please check online for any updates.

HOW TO PAY - DIRECT CREDITDirect credit to our bank account (please supply details of remittance)

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WHAT HAPPENS IF I HAVE TO CANCEL?YOU HAVE SEVERAL OPTIONS:• Send a substitute delegate in your place• Confirm your cancellation in writing (letter or email) at least

ten working days prior to the event and receive a refund less a $300+GST service charge per registrant. Regrettably, no refunds can be made for cancellations received after this date.

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