Embedded Landscape and Key Trends in the Market

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1 Embedded Landscape and Key Trends in the Market Jeanne Ngo Pentaho Senior Product Marketing Manager, Hitachi Vantara Nick Keune Pentaho Embedded & Advanced Analytics SME, Hitachi Vantara

2 Agenda Discuss how embedding analytics can help your organization with more immediate, self-service analytics adoption. Key Trends for Embedded Analytics What We re Seeing with Pentaho Customers Recent Features for Embedding

3 Key Trends

4 The Data Revolution By 2019, 75% of analytics solutions will incorporate 10 or more exogenous data sources from second-party partners or third-party providers. 45K 30K 15K Data and Analytics Predictions through 2020, 24 March 2016 G , Analyst(s): Douglas Laney Ankush Jain

5 A Generation of Data Decisions Data is the ultimate decision-maker Leading to demand from individual organizational units

6 Self-Service Is No Longer a Nice to Have Data is a the ultimate decision source Data is being consumed regardless of validation Siloed or inaccurate data is rampant within organizations How IT has gained better control of this

7 Applying Blended Data in Context Instead of end users combing through multiple applications for the right data CRM FILE SHARING MARKETING AUTOMATION INTERNAL APPLICATION 977: The average number of cloud applications per enterprise. *Netskope, 9/2016 Cloud Report INTERNAL APPLICATION Embed the right analytics within existing day-to-day applications: Provide self-service analytics, at a point of impact for higher adoption Better control of data that s being used to make business decisions

8 Embedding Analytics Has Led to Increased Adoption 48% of workforce users were actively engaged in analytics when they were embedded, versus 37% when analytics were standalone. Source: Delivering Better BI: Three Reasons to Up Your Analytical Game. Analyst: Michael Lock

9 Embedding Analytics Has Driven Business Results Embedding the right mix of data can drive competitive differentiation, customer growth, and customer development. Embedding the right mix of data can drive competitive differentiation, customer growth, and customer development. Leaders in embedded analytics saw an 8% higher average deal size and 5% higher average renewal rate than Followers. Source: Delivering Better BI: Three Reasons to Up Your Analytical Game. Analyst: Michael Lock

10 What We re Seeing with Pentaho Customers

11 CERN Empowered 15,000 users with a single view of their data

12 Ivy Tech Created 3,000 Information Producers & Winner of Gartner s 2016 Best Self-Service Analytics Award Ivy Tech created 3000 information producers in just 3 months with strong leadership." Kurt Schlegel, Research VP at Gartner, 2017 Gartner Data & Analytics Summit opening keynote

13 OPower

14 Recent Features for Embedding

15 Deploy Analytics Embedded Into Any Existing Application Reporting, visualizations, ad hoc analysis, and/or custom dashboards Address the entire data pipeline then deploy analytics in any application, as your business evolves Option to deploy analytics embedded into an existing in-house applications

16 How Pentaho Helps with Embedded Analytics End-to-End Platform Easily integrate, blend, and orchestrate traditional and big data sources for analytics Open, Extendable Architecture Match the look and feel of existing applications with web technologies, REST APIs, and 100% Java code. Flexible Security and Multi-Tenancy Adhere to compliance and security standards for data access Self-Service Analytics Options Embed reporting, visualizations, ad hoc analysis, or custom dashboards to give business users access to the data they need at a point of impact Governed Data Delivery Manage all data sources from a single platform to ensure data that is being embedded is governed and controlled Dedicated Services Ability to implement faster and provide professional services for quicker time to value

17 New Features for Embedded and Demo Flow Viz 3.0 API Streamlines development structure, packaging In-depth documentation through the complete process RequireJS in 7.1 Cleans up some of the existing objects (ex singleton Dashboard) Covered in new advanced CTools course Spring 4.0 Security New OOTB packages for security providers/frameworks, libraries for custom code Adaptive Execution Layer Separation of responsibilities; localized execution engine

18 Demonstrations

19 Summary What we covered today: Key Trends with Embedded Analytics What We re Seeing with Pentaho Customers Recent Features for Embedding

20 Want to Learn More? Customer Showcase Sessions: CERN, Ivy Tech Meet-the-Expert: Embedding Techniques, Project Approaches, Integration Strategies Breakout Sessions: Leverage the Power of Pentaho Visualizations Within Your Application Andy Grohe Integrating New Visualizations with Pentaho Using the Viz API Ben Hopkins & Nick Keune Hands-on Training: Creating Responsive Dashboard Layouts with Ctools Bruce Berry For-Dev-by-Dev: Using the 8.0 Visualization API to Create Custom Visualizations Nelson Antunes

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