Get Smarter, Data, Faster

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1 Get Smarter, Data, Faster

Martin Norgrove CTO, NOW Consulting Networking over Coffee Introduction to NOW Consulting and Datability Datability and the

2 7.50am 8:00am 8:25am 8:50am 9:15am Welcome SPEAKER Matt Bartley GM Sales and Strategic Partnerships SPEAKER Torrance Mayberry Cloud Solution Architect, Data Platform, AI & IoT, Microsoft SPEAKER Peter Radich CIO, Abano Healthcare Group Ltd SPEAKER Martin Norgrove CTO, NOW Consulting Networking over Coffee Introduction to NOW Consulting and Datability Datability and the Azure advantage What success looks like: The Abano Group s journey to Azure The fast path to Azure with WhereScape automation software

3 Introduction to NOW Consulting and Datability Matt Bartley GM, Sales & Strategic Partnerships NOW Consulting

4 Fast path to Datability Accelerate time-to-value and put benefits like these within reach sooner: Fast Buildability+ Possibility+ Profitability+ Scalability+

5 Where we came from A LITTLE ABOUT US Data is in our DNA

6 Data is in our DNA

7 We manage dataflow: from source to consumption

8 200+ customers in NZ

9 Key partnerships

10 Datability and the Azure advantage Torrance Mayberry Cloud Solution Architect, Data Platform, AI & IoT, Microsoft

11 Datability: The Azure Advantage Torrance Mayberry Cloud Solution Architect Data & AI

15 1 2 3

18 Azure AI AI apps & agents Machine learning Knowledge mining Azure Bot Service Azure Cognitive Services Azure Databricks Azure Machine Learning Azure AI infrastructure Azure Cognitive Search

19 The Microsoft AI platform Services Tools Infrastructure

20 Productive Azure

21 Machine Learning on Azure Sophisticated pretrained models To simplify solution development Vision Speech Language Search Popular frameworks To build advanced deep learning solutions Pytorch TensorFlow Keras Onnx Productive services To empower data science and development teams Azure Databricks Azure Machine Learning Machine Learning VMs Powerful infrastructure To accelerate deep learning Flexible deployment To deploy and manage models on intelligent cloud and edge On-premises Cloud Edge

22 Flexible deployment Deploy and manage models on intelligent cloud and edge Train & deploy Train & deploy Track models in production Capture model telemetry Retrain models automatically Deploy

25 VALUE Analytics Maturity Curve How can we make it happen? What will happen? Prescriptive Analytics Why did it happen? Predictive Analytics What happened? Diagnostic Analytics Descriptive Analytics Traditional BI Advanced Analytics DIFFICULTY

26 Maturity of Analytics Use Analytics Laggard Localised Analytics Analytical Amateur Analytical Practitioner Analytical Master People Gut-based decisions Isolated analytics Functional & tactical Limited interaction Executive awareness Analytical skills Executive support Learning curve Institutionalise analytics Continuous learning Process None Narrow focus on data driven decisions Coordinated analytical activities Integrated analytics Change management Centralise analytics Technology Poor data quality Un-integrated systems Fragmented data management BI capability Statistical tools Data marts High quality data Governance plan Leverage new data sources Emerging analytics Reactive Tactical Strategic

27 Readiness Pillars Customer AI Maturity Indicators Aspirational Mature Approaching AI Maturity Levels Foundational Approaching Aspirational Mature Foundational Strategic Incremental Experimental Evolutionary Disruptive Cultural Fear black box Bottom up change Educating others via success stories Adopting growth mindset Organizational Talent gap A few pathfinders Data & Technology Lacking readiness Exploring Talent gap awareness Using in pockets Talent development under way Success with data science motion

Azure Data & Analytics Platform Data Sources Information Management Data Factory Big Data Stores Data Lake Store Compute Container Instances Machine Learning & Analytics Machine Learning Intelligence

28 Azure Data & Analytics Platform Data Sources Information Management Data Factory Big Data Stores Data Lake Store Compute Container Instances Machine Learning & Analytics Machine Learning Intelligence Cognitive Services People Data Catalog SQL Data Warehouse Kubernetes Data Lake Analytics Bot Service Web Apps Event Hubs Cosmos DB Docker Data Science Virtual Machine Cortana Apps Mobile Sensors and devices IoT Hub Logic Apps Blob Storage Batch AI HDInsight Databricks Stream Analytics Azure Analysis Services Dashboards & Visualizations Power BI Bots Automated Systems Data Intelligence Action

30 What success looks like: The Abano Groups journey to Azure Peter Radich CIO, Abano Healthcare Group Ltd

31 Abano Healthcare Group: The Journey to Azure and Datability

32 Agenda Who Am I? Our Strategy The Path To Success Why Azure? Datability The New Dashboards The Future Questions

33 Peter Radich: CIO, Abano Healthcare Group

34 Abano Healthcare Group: A Leading Dental Provider Owner and operator of the largest trans-tasman network of dental practices Lumino The Dentists in New Zealand and Maven Dental Group in Australia Solely focused on the trans-tasman dental market one of the largest and fastest growing dental groups in the region Goal is to gain a 10% of the $11-billion dental market Listed on the NZX The opportunity in dental Trans-Tasman dental market worth approx. $11-billion: NZ $0.8b, Australia $9.4b Long term growth trends demand is growing Growing acceptance and popularity of dental group model Estimated 14,000 practices - less than 10% owned by corporate groups

35 Number of Practices Who we are 230+ practices 2,300+ people 2 strong brands People More than Over 1.2M 800 patient visits clinicians annually Over 800 clinicians The largest trans-tasman network of dental practices Number of Dental Practices More than 900 dentists, specialists and clinicians Innovative marketing and finance offers $11M+ on Capital Expenditure 50 NZ $330M+ annualised gross revenue High customer satisfaction 0 Lumino Maven

36 Together, creating positive experience for our Patients & our People.

37 Leverage Technology

38 Why Azure? Consolidation of Lumino and Maven s IT systems into a single IT solution. Improved cyber security across the entire business, especially the practices. Simplified access and collaboration across the businesses. Reduced operational costs.

39 NOW Consulting and Abano Healthcare Group Over 8 years in partnership Bringing new technology and ideas to the Abano Group Migrated to Azure DB in 30 days faster processing, lower cost Implemented Power BI Premium Built dashboards, e.g. Practice, Clinician, Dental Plan Dental Plan dashboard updates hourly Working on Machine Learning opportunities Insights from data faster and easier

40 Datability Data in itself is useless unless of course you can turn into information by reporting it to the right people in a format that they understand Dentists are mainly visual, not numbers people The move to O365 & Azure allowed us to do new things: o Electronic dashboards o Simplified access, any device o Easy to use analysis tools o New technologies, e.g. Machine Learning

Dashboards: Delivered Via Microsoft Power BI To Desktop And Mobiles Hosted on Microsoft Azure platform with Office 365 Device agnostic Utilises existing Data Warehouse Platform

41 Dashboards: Delivered Via Microsoft Power BI To Desktop And Mobiles Hosted on Microsoft Azure platform with Office 365 Device agnostic Utilises existing Data Warehouse Platform hosted on Azure Leverages Microsoft Dynamics Navision and Microsoft Dynamics CRM Secure platform delivered anywhere, anytime to support staff, clinicians, operations support and management

42 Dashboards Rich Data Sets In Workflow Structure Enables benchmarking to similar practices Support Staff Incentive program reinforces KPIs Rich data with drill down Intuitive platform to learn and interrogate

43 Dashboards: Link to Strategic Pillars DELIVER A WORLD CLASS PATIENT EXPERIENCE Net Promoter Score based off patient surveys Benchmark to competitors and across the network We can slice and dice the survey data to understand why? And importantly, what can we do about it? Example slides only. Not based on actual data

44 Dashboards: Link to Strategic Pillars DELIVER PROFITABLE GROWTH For example: Clinical days vs utilisation Do we have capacity? Do we need to add more staff to meet demand? Can we increase the number of dental chairs? Example slides only. Not based on actual data

Building More Dashboard Panels As We Build Up Knowledge The Power BI graphic - shows practice locations compared to the decile analysis of household income obtained from

45 Building More Dashboard Panels As We Build Up Knowledge The Power BI graphic - shows practice locations compared to the decile analysis of household income obtained from Statistics New Zealand from the NZ census Enables us to understand potential sites and look at opportunities Using our knowledge as well as third party data to create more dashboard panels

Using Data Tools To Predict Outcomes For example: When will a busy practice have empty chairs? Can we fill an additional Clinician s appointment book?

46 Using Data Tools To Predict Outcomes For example: When will a busy practice have empty chairs? Can we fill an additional Clinician s appointment book? Can we predict FTA s? Which patients are likely to: o Purchase the Dental Plan? o Proceed with a Treatment Plan? o Be interested in an interest free offer? o Be interested in tooth whitening?

Key Takeaways Building a data repository isn t easy but it can be a significant source of competitive advantage Delivery is key Measure things that

47 Key Takeaways Building a data repository isn t easy but it can be a significant source of competitive advantage Delivery is key Measure things that you care about, don t worry about ones that don t Keep asking so what and what s the consequence Speed is crucial Finally look after your oral health.

48 The fast path to Azure With WhereScape automation software Martin Norgrove CTO, NOW Consulting

49 The Automation ½ Way House Vs Azure Solutions

50 The Automation ½ Way House Into Traditional Automated

51 Automate the whole stack *WHERE BUSINESS VALUE HAPPENS ANALYTICS LAYER DATA LAYER INFRASTRUCTURE LAYER

52 customers worldwide

53 WhereScape on Azure WHERESCAPE DATABASES STREAMSETS HDINSIGHT APPLICATIONS r DATA LAKE STORE SQL DB AZURE ML LOGS, FILES SSIS AZURE STORAGE SQL DW AZURE DATABRICKS (Spark ML) BUSINESS APPS DATA FACTORY AZURE ANALYSIS SERVICES POWER BI

54 Data is difficult

55 Complex, slow and hard to change

56 WhereScape data infrastructure automation Best-practice frameworks for all modelling types End to end lifecycle management Automates 95% of hand coding Agile built in

57 Cloud friendly architecture - WhereScape vs traditional ETL tools Data Sources 1 ETL Tool & Infrastructure BI/Analytics Layer Legend Read Data Write Data Operational Data Store Staging Normalized Tables / EDW Data Marts aka End-user Layer SQL Relational/MPP Data Platform AZURE ANALYSIS SERVICES Automated ELT Scripts and Processes by RED

Why customers use WhereScape data automation: Accelerate

consistency and quality Improve project/technical

Speed 25% Rework Reduction through innovation 30% Overall

50% of data warehouse projects fail or go wildly over

58 Why customers use WhereScape data automation: Accelerate Time-to-Value Reduce project cost/time/risk Improve build consistency and quality Improve project/technical governance Keep pace with business changes 5X Increased Speed 25% Rework Reduction through innovation 30% Overall Reduction in Spend 90% Reduction of Technical Debt over 50% of data warehouse projects fail or go wildly over budget 70% of the requirements will change in the 1st year - Gartner

59 Great outcomes THE POWER OF PARTNERSHIPS = Great outcomes Fast Buildability+ Possibility+ Profitability+ Scalability+

NEW FEATURES: WhereScape RED 8 Targets Templates starter kits for any platform Extended properties Note for existing customers: Migration is a

60 NEW FEATURES: WhereScape RED 8 Targets Templates starter kits for any platform Extended properties Note for existing customers: Migration is a straightforward conversion process minimise re-writing. All your logic, data warehouse structures and everything else migrates into the cloud too

61 Predictable, fast cloud migrations Book an Envisioning Session. What does the cloud look like for you? WhereScape Convert to cloud Bring logic and structures with you NOW Consulting Cloud experts Proven migration approach Predictability for your cloud migration

62 Take WhereScape RED for a spin! The WhereScape RED Test Drive puts you in the driving seat, so you can experience data warehouse automation as our customers do! BOOK YOUR TEST DRIVE ON OUR WEBSITE: nowconsulting.co.nz

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