Buy vs build_nam
•Download as PPTX, PDF•
0 likes•104 views
Embedded Analytics: Buy or Build? A guide to making the toughest decision in embedded analytics Buy or build? This question has teased IT and development teams since the beginning of commercial software. When it comes to integrating software into other software—in this case, embedding analytics into your application—there is a lot to consider. Does the convenience and quality of third-party commercial software outweigh the cost-savings and fine-tuned control of building embedded analytics on your own? In this webinar, we’ll lay out the pros and cons of both options and explain the trade offs of embedding third-party analytics software into your application versus building and embedding your own analytics. Review major considerations for embedded analytics Outline approach for creating, embedding, and managing analytics in each scenario (buy and build) See live demonstrations of analytics embedded into a business application Get questions answered in live Q&A session with a technical embedded analytics expert
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Buy vs build_nam
Similar to Buy vs build_nam (20)
More from TIBCO Jaspersoft
More from TIBCO Jaspersoft (20)
Recently uploaded
Recently uploaded (20)
Buy vs build_nam
- 1. A guide to making the toughest decision in embedded analytics Embedded Analytics: Build or Buy?
- 2. 2 Hello from Jaspersoft! © Copyright 2000-2018 TIBCO Software Inc. Shane Swiderek Product Marketing Manager San Francisco, CA Scott Andersen Sr. Solutions Consultant Denver, CO
- 3. Data as a feature Winter Helping Users Reach Goals with Data Spring Embedded BI: All Things Considered Fall Modern Reporting At Scale Summer Building Data as a Feature Applications
- 4. 4 • Determining desired outcomes • Understanding requirements • Build vs buy comparisons • Live demos • Q & A Agenda © Copyright 2000-2018 TIBCO Software Inc.
- 5. 5© Copyright 2000-2018 TIBCO Software Inc. What are you trying to accomplish?
- 6. 6© Copyright 2000-2018 TIBCO Software Inc. Where / how do you intend to deploy?What is the desired level of integration / user experience? Who are your users? involve your users! How are you handling security and distribution of analytics?
- 7. 7 • Are they data people? Technical? Business users? • What goals do they have? How could analytics help them with these? Determining desired outcomes © Copyright 2000-2018 TIBCO Software Inc. Who are your users? involve your users!
- 8. 8 • Cloud? • Public or private • On-prem? • Hybrid? • App servers? • Operating systems? Determining desired outcomes © Copyright 2000-2018 TIBCO Software Inc. Where / how do you intend to deploy?
- 9. 9 • Static reports (PDFs) that can be generated in your app • Reports/analytics tab or area within your app • Seamless integration – analytics mixed with operational parts of your app Determining desired outcomes © Copyright 2000-2018 TIBCO Software Inc. What is the desired level of integration / user experience?
- 10. 10 • Deploy single instance to multiple customers? • Dedicated instance per customer? • SaaS? • Application security and SSO? • Data security (row and column level) Determining desired outcomes © Copyright 2000-2018 TIBCO Software Inc. How are you handling security and distribution of analytics?
- 11. 11 • Determining desired outcomes • Understanding requirements • Build vs buy comparisons • Live demos • Q & A Agenda © Copyright 2000-2018 TIBCO Software Inc.
- 12. 12 • User experience • Level of integration? • Managing users themselves? (permissions to reports / dashboards) • Type of analytics (reports & dashboards vs self-service vs advanced self-service (discovery and beyond) Understanding requirements © Copyright 2000-2018 TIBCO Software Inc.
- 13. 13 • Data complexity • Access data from multiple systems? • What is the size of your data? • How do you plan to access it? • How fresh does your data need to be? Understanding requirements © Copyright 2000-2018 TIBCO Software Inc.
- 14. 14 • Environmental requirements • Multiple concurrent users • Multi-tenant deployment • Performance • Availability / scalability • Other environmental factors Understanding requirements © Copyright 2000-2018 TIBCO Software Inc.
- 15. 15 • Determining desired outcomes • Understanding requirements • Build vs buy comparisons • Live demos • Q & A Agenda © Copyright 2000-2018 TIBCO Software Inc.
- 16. 16 Why build? Control • Customize the functionality better • Customize look and feel better You’ve got the resources • You have enough developer resources with required skills © Copyright 2000-2018 TIBCO Software Inc. Cost of buying software • Software can be expensive
- 17. 17 Why buy? © Copyright 2000-2018 TIBCO Software Inc. BI not a core competency for most developers Give best-in-class BI functionality to your customers Building takes too long (you compete on time to market!) Support Focus your developers on building core product Scalability & high availability Security
- 18. 18 Build vs. Buy © Copyright 2000-2018 TIBCO Software Inc. Scalability / High availability Security (data and repository) Time to market Resources Design User experience Functionality
- 19. 19 Build vs. Buy © Copyright 2000-2018 TIBCO Software Inc. Scalability / High availability Security (data and repository) Time to market Resources Design User experience Functionality Build
- 20. 20 Build vs. Buy © Copyright 2000-2018 TIBCO Software Inc. Scalability / High availability Security (data and repository) Time to market Resources Design User experience Functionality Buy
- 21. 21 Build vs. Buy © Copyright 2000-2018 TIBCO Software Inc. Scalability / High availability Security (data and repository) Time to market Resources Design User experience Functionality Build / Buy
- 22. 22 • Determining desired outcomes • Understanding requirements • Build vs buy comparisons • Live demos • Q & A Agenda © Copyright 2000-2018 TIBCO Software Inc.
- 23. demo
- 24. 24© Copyright 2000-2018 TIBCO Software Inc. Where / how do you intend to deploy?What is the desired level of integration / user experience? How are you handling security and distribution of analytics? Who are your users? involve your users!
- 25. 25 • Determining desired outcomes • Understanding requirements • Build vs buy comparisons • Live demos • Q & A Agenda © Copyright 2000-2018 TIBCO Software Inc.
- 26. 26 What next? © Copyright 2000-2018 TIBCO Software Inc. See How to Get Started http://www.jaspersoft.com/getting-started Try Jaspersoft Free for 60 Days http://www.jaspersoft.com/download O’Reilly Books www.jaspersoft.com > Resources Get your question(s) answered by an expert Send questions to: nam-jaspersoftdemo@tibco.com Next webinar: Special Jaspersoft Announcement! Key considerations for embedding Why embedding? May 15th May 16th
Editor's Notes
- SHANE This webinar is part of the Spring theme, Embedded BI: All Things Considered. There is a lot to evaluate when looking to embed analytics into your applications. Throughout the course of this theme we are exploring all of the major considerations ranging from how to get started and choose the right type of analytics to how to embed them, to how to configure security and deploy analytics in multi-tenant SaaS applications. Each of the 4 themes throughout the year are actually sub-themes of a concept called Data as a feature. Data as a feature is about treating data as a core feature in your product or service and making data into a valuable asset to your users. This is a concept that we’ve collaborated on with O’Reilly Media and, if this sounds interesting to you, at the end of the webinar, I’ll point you to where you can learn about the concept further.
- SHANE
- SHANE
- SHANE Whether you are building or buying, these are the things you need to think about when embedding analytics.
- SHANE
- SHANE
- SHANE
- SHANE
- SHANE
- SHANE
- SHANE
- SHANE
- SHANE handover to SCOTT
- SCOTT
- SCOTT
- SCOTT
- SCOTT
- SCOTT
- SCOTT
- SHANE
- SCOTT Fresh delivery demonstrating different types of analytics (report, dashboard, ad hoc) and levels of integration (iframe vs visualize.js) for visualize.js, expose embed code and explain the simplicity of making analytics an integrated component of your application JRS quick peek at configuring multi-tenancy explain domains and importance of a metadata layer if self-service is a requirement
- SHANE Whether you are building or buying, these are the things you need to think about when embedding analytics.
- SHANE