Democratising Predictive & Embedded Analytics. Clinton Etheridge Senior Pre-Sales Consultant

Transcription

1 Democratising Predictive & Embedded Analytics Clinton Etheridge Senior Pre-Sales Consultant

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3 Embedded Analytics

4 Leading the Way With The Most Experience Information Builders WebFOCUS product is well suited as a platform for building custom web-based BI applications, including rich Extranet internet deployments applications, often continue to be in extranet and Information public, customer Builders facing, sweet spot constituent and facing, go-to-market supply Customers chain emphasis, facing surveyed with many indicate that or partner of facing Information BI web 47% Builders applications - the customers top vendor. using this custom extranet category BI applications utilise built the with product to WebFOCUS, without knowing they are develop externally facing using Information Builders. applications, predominantly targeted at customers, suppliers, partners and constituents.

5 Why Information Builders for Embedded Analytics Seamless Integration 78 Web Services Embed a portal, page or container Reporting Server Use our REST Web Services API to embed objects in a completely custom UI Managed Reporting Embed WebFOCUS Analytical tools, contents and/or applications Security Administration Content Scheduling 5

6 Embedded Portal Page in Salesforce 6

7 Embedded Web Services in a Bootstrap Web Application 19

8 Embedded InfoAssist+ from Bootstrap Web Application 8

9 Why Information Builders for Embedded Analytics Simplified Data Access Federating queries to multiple sources Easily implement business views 9

10 Why Information Builders for Embedded Analytics Security Flexible and robust security Multiple facilities to do single sign-on (SSO) between 3 rd party application and WebFOCUS Object and data level entitlements Advanced role-based security that is easy to administer Built-in Multi-tenancy and SaaS support 10

11 Why Information Builders for Embedded Analytics Best in Class Platform Access to any data, including real-time and big data Data quality and governance Performance and scalability Built-in load balancing and failover Proven, built-in protection from Web vulnerabilities so you can confidently deploy external-facing applications 11

12 Chrome River EXPENSE (Note to self?) A Software-as-a-Service application, EXPENSE, required BI & analytics capabilities that would empower over 500 Chrome River customers with the ability to get into the data, analyse it, and generate valuable insights. With the help of Information Builders embedded technology, Chrome River improved visibility for their customers and extended the value of its offering. Why Chrome River partnered with Information Builders: Flexible, easy-to-use and complete platform Understanding of the SaaS market Superior customer support A provider of online expense reporting and supplier invoice processing

13 Yellow Pages Yellow Pages Analytics A Big Data application from Information Builders, Yellow Pages Analytics, allows over 250,000 advertisers / customers to report on the performance of the products they have purchased. Information includes merchant pages on the YP network, merchant websites, and Facebook fan pages. A free digital analytics solution for all local businesses in Canada Accesses 56B records with sub-second response time Multi-lingual Canada's leading local commercial search provider and largest directory publisher

14 Predictive Analytics

15 Some Democratised Predictive Analytics Examples 15

16 Overview Predictive analytics analyses current and historical data to make predictions about future risks such as credit and fraud risk, and about opportunities such as targeting for offers and promotions The real value is to improve business outcomes Predictive Analytics helps Discover Predict Create a competitive edge! An information-based approach to decision making 16

17 How BI and Predictive Analytics Work Together BI supplies the core facts of an organisation Core business metrics KPIs Factual reporting PA uncovers patterns in these facts to turn into actionable information Predictive associations Optimised models Causal reporting Key Performance Predictors 17

18 Predictive Healthcare Patient Volume and Staffing

19 Predictive Policing 19

20 WebFOCUS Platform for Predictive Analytics Data Access Predictive Modeling Results Deployment Hot Social Bad Feedback Integrating Data Access to 100s of data sources Seamless inclusion of new sources for new analyses Merging, filtering, aggregating, deriving, transforming, sampling Embed data quality Often 2/3 of the effort! Designed for the Analyst No coding or scripting GUI to common R packages Workbench for comprehensive advanced analytic functionality Stats analysis, visualisations, transforms, models for pattern discovery and model testing Rapid model creation! Self-Service for Everyone Automated information delivery Interactive smart statements Interactive portal experience Dashboards, ad hoc reporting, Feeding downstream apps Deliver predicted results for action! 20

21 Comprehensive Analytic Functionality Data Preparation Model Deployment Descriptive Statistics Model Evaluation Visualisations Modelling 21

22 Predictive Analytics for Dealer Services Goal: To derive an internal credit score for each customer to assist in line of credit and borrowing decisions. Strategy: Develop a predictive model that assists Dealer Services in loan approvals, based on a customer s risk level, past behavior and historical information other than the dealers credit score and credit report. Second Application: A behavioral model will analyse the Dealer s payment performance for the first 6 months of the loan. The results will allow DSC to offer that particular dealer a rate reduction based on good paying history. Results: Enables Dealer Services to minimise the risk of their portfolio, who to lend to and how much to lend and has saved them enormous $$s/ s. 22

23 Predictive Analytics for Taylor University Goal: Tap into disparate data to reduce students at risk and improve upon its already-stellar student retention rates. Strategy: Leverage advanced predictive analytics to mine and analyse various data points to determine at risk students, and refer them to the university s Student Enrichment department for mentoring. Utilised attributes such as GPA, gender, mid-term grades, financial aid status, attempted hours versus completed hours, and SAT / ACT scores. Results: By validating existing processes already in place, Taylor expects to achieve significant ROI through reduced student attrition. Initial model predictions were 81% accurate. 23

24 Predictive Analytics for Quinte Health Care Goal: To make better decisions on patient risk and treatment pathway at time of discharge. Strategy: Quinte used historical patient data (diagnosis, demographic and clinical) to develop a profile of at-risk patients at time of discharge. The application scores each patient for the likelihood of a particular diagnoses. Results: Enables revisions to each patient s clinical pathway based on risk of diagnosis and monitor those patients more closely that receive a high likelihood score. Notable Aspects of Application: Due to ease of model development and deployment, Quinte created the application on their own. Also, models are 90+% accurate in predicting high risk patients. 24

25 The Business Value of Predictive Analytics Improve business outcomes Data-driven decisions vs. gut feel and experience Discover patterns, trends and relationships in data to manage your business better and create proactive decisions Provides forward view vs. rear view Focus on a business objective related to the bottom line Revenue-generating and / or cost-saving initiatives / improved services experience 25

26 Vantiv - Large Payment Processor Leveraging Payment Information with High Performance Analytics to Drive Information Based Products & Services to Clients In Partnership with DMI, developed shopper insights portal, designed the solution, built dashboards and integrated descriptive and predictive KPIs for Merchant, Store and Customer Level insights. RESULTS Merchant Insights is a value added offering through Payment Processor to large retail merchants, driving incremental revenue and boost stickiness. 26

27 In Summary Democratise Predictive & Embedded Analytics Seamlessly integrate Information Builders Embedded Analytics and benefit from Simplified Data Access Robust Security Best in Class Analytics Platform Improve business outcomes with Democratised Predictive Analytics Discover Predict Create a competitive edge! 27

28 Democratising Predictive & Embedded Analytics Thank You