iPaaS vs. CSB: Which One is Right For You?
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As software and solutions of every kind head to the cloud at breakneck speed, it’s more important than ever for companies to be able to integrate their data where it lives and breathes. We will break down integration platform as a service (iPaaS) and cloud services brokerage (CSB), two services that are taking integration to the cloud. In this webinar you'll discover: • How iPaaS and CSB are improving the integration landscape • Where the two cloud integration technologies differ • Which one is right for your company!
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iPaaS vs. CSB: Which One is Right For You?
- 1. © Liaison Technologies. All rights reserved. Liaison is a trademark of Liaison Technologies. @LiaisonTech iPaaS vs. CSB Which one is Right for You?
- 2. @LiaisonTech@LiaisonTech Agenda Q & A What is happening with data A look at integration Industry examples iPaaS vs. CSB
- 4. @LiaisonTech@LiaisonTech What is iPaaS? Definition A platform which enables developers and practitioners alike to configure and implement integration projects involving multiple endpoints and processes. Types of Functionality • Support for (and bridging between) a variety of connectivity protocols and data/message delivery styles • Data/message mapping and transformation • Adapter developer toolkits • API management • Prepackaged integration flows
- 6. @LiaisonTech@LiaisonTech What is CSB? 6(1) Source: Gartner. A cloud services brokerage is a business model in which a company adds value to one or more (generally public or hybrid, but possibly private) cloud services on behalf of consumers of those services(1) CSB Defined
- 7. @LiaisonTech@LiaisonTech iPaaS vs. CSB CSB / CBI Data-Centric iPaaS Outsourced Feel Cloud Native Simple to Complex Int. Highly Tailored Model Scalable Resources On-Premise Feel Cloud Native Simple Integration Standardized & Repeatable Internal Resources Required Application Centric Growth Market Proven Solutions Service Model Vendors of ALL Sizes Emerging Market New Solutions Service Model Small Vendors, Changing
- 8. @LiaisonTech@LiaisonTech Data or apps? Business Strategy enabled through an “Application Centric” IT approach (SAP, Oracle, etc.) Data/information is an artifact of business applications and is used to validate and optimize business strategy Integration is subservient to the needs of the applications Applications …… Data/Information Integration Integration …… Applications Business Strategy Information driven Business Strategy is “Data / Information centric” Applications capture, collect and filter data/information. Applications can be changed as needed and the data/information is the “High Value” asset Integration facilitates the ability to change applications and consolidate data. It is critical to the information business and assembly of information Strategic Planning Hierarchy Business Strategy Data/Information
- 9. @LiaisonTech@LiaisonTech New relevant data sources are emerging Social Media Personal Health / Fitness Devices Consumer Spending Data Entertainment Other?
- 10. @LiaisonTech@LiaisonTech New relevant data sources are emerging Localized Data: • Product Master • Supplier information • • General Ledger • Customer Master • HR / Employee Data • Etc…….
- 11. @LiaisonTech@LiaisonTech Data “overload” example: social media Every minute there are: • 277,000 tweets • 72 hours of new video uploaded to YouTube • 4 million queries received by Google • 2,460,000 pieces of content shared on Facebook
- 12. @LiaisonTech@LiaisonTech The Convergence of DI & DM Integration & Acquisition • Network Services • Integration Platform • Protocol Translation • Messaging Choreography • Device Enablement Data Integration Data Access & Syndication • User Authorization • User Entitlement • API Management • Data Virtualization Data Integration Enrichment & Harmonization • Data Transformation • Data Validation • Schema Management • Industry Glossaries • Ontology Management • MDM Workflow • EMPI (Master Patient Index) Secure Compute & Storage • Big Data Platform • Capacity Planning • Tokenization • Encryption • De-Identification • Consent Management • PHDR (Patient Health Data Repository) Data Management (Big Data Infrastructure)
- 13. @LiaisonTech@LiaisonTech Mass customization & data Mass customization offers: • Economies of scope versus economies of scale • Variety and customization through flexibility and responsiveness • Platform leverage with components assembled based on customer needs • Heterogeneous niches • Low cost, high quality tailored solutions and services Mass customization is based on the premise that people don’t want choice (or to have to make choices) but rather want exactly what they specified.
- 15. @LiaisonTech@LiaisonTech Integrated Supply Chain SECURITY Analytics & Business Intelligence Data Integration & Harmonization Data Management Big Data Storage & Computation Data Visualization COMPLIANCEPCIDSS Orders Catalog Financial Logistics Harmonized Supply Chain Data
- 16. @LiaisonTech@LiaisonTech Contextual Discovery SECURITY Analytics & Business Intelligence Data Integration & Harmonization Data Management Big Data Storage & Computation Data Visualization COMPLIANCE Translation & Context Discovery
- 17. @LiaisonTech@LiaisonTech SECURITY Analytics & Business Intelligence Data Integration & Harmonization Data Management Big Data Storage & Computation Data Visualization COMPLIANCE Harmonizing Web Analytics Data Unified Data Analytics
- 18. @LiaisonTech@LiaisonTech In Summary Organizations should center their platform decision strategy around the question of whether to be data-centric or application-centric Nobody knows what data will be available, or from what sources, in the future to provide exciting and fresh insights to the global supply chain It’s critical to identify and choose a platform with both data integration and data management requirements in mind
- 19. @LiaisonTech QUESTIONS? Solutions • Data Integration • Data Management • Data Security • Big Data Multinational • Global headquarters in Atlanta • European offices in Finland, Netherlands, Sweden, UK • More than 7000 customers worldwide in over 46 countries If you liked this presentation, share it below! Want to listen to this webinar and others? Go here ABOUTLIAISON 19 Thank You
Notes de l'éditeur
- Data is becoming so much more complex: discuss unstructured and structured, etc.
- Data is becoming so much more complex: discuss unstructured and structured, etc.
- Use case #6: Integrated Supply Chain This is Mohawk Fine Papers as this is the one named use case we’re using Doesn’t have to be blind Liaison is their CSB and acts as the integration backbone and single point of contact for all IT services within Mohawk and with many hundreds of customers, trading partners, and cloud service providers. This is another one very transactionally based and A2A/B2B integration so not sure how you want to spin it except to say that our integration capabilities are far reaching across an entire ecosystem, lots of platforms, document formats, and trading partners’ systems. Mohawk is using our CSB for: B2B integration A2A integration MFTaaS (master file transfer-as-a-service) SaaS (Mohawk is consuming a wide range of business applications as services, performed in the cloud) DaaS (process data-based transactions like shipping quotes or credit checks in the cloud) More information can be found at http://liaison.com/docs/case-studies/liaison---mohawk-fine-papers-case-study---cloud-integration.pdf?sfvrsn=8
- Use case #3: Translation of Japanese doctor’s notes for context Did this project about a year ago Major pharma wants to understand how often their medication is prescribed/mentioned in handwritten Japanese doctor’s notes In addition: Where it is geographically subscribed What context it is subscribed in What diseases most often associated with in notes We first translate Japanese raw text (pharma notes) and other information into English Then use NLP (natural language processing) to take in surrounding words from form and apply context so that conclusions can be drawn We’re taking unstructured text and turn it into actionable information More information can be found at 33:19 of Brad’s Liaison Learning session: https://liaison.com/intranet/learning-sessions/big-data
- Use case #4: Unified data analytics This is a pharmaceutical but reminder that you wanted it moved to another industry since we’re so pharma-heavy (I had suggested financial) We capture data from 7 analytics providers (logos in PPT) and aggregate and harmonize into a single data model for unified viewing and reporting This dramatically increases speed at which this valuable marketing information is delivered across the business With holistic view at their fingertips, client is able to better understand trends and target potential customers More information can be found at http://liaison.com/docs/case-studies/liaison---web-analytics-integration-pharmaceutical-case-study.pdf?sfvrsn=6