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  1. 1. The Business Value of Enterprise Mashups Joe Keller, CMO Kapow Technologies, Inc November 2007
  2. 2. Abstract More and more enterprises are looking into how they can benefit from mashups to improve their business. Unfortunately many of the best known mashups today are more consumer oriented, and thus do not pay justice to the real enterprise value of mashups. Especially they do not explain the background to why mashups are something every company needs to start using today. This presentation will walk through the value drivers for mashups in the enterprise and will end up with a short demo of how the Kapow Mashup Server can add value to businesses today.
  3. 3. Kapow at a Glance Company History Europe’s largest on-line real estate marketplace (1998-2002) Transitioned to enterprise mashup server software (2002 forward) Moved HQ to the US in 2005 250+ customers across US, Asia and Europe AT&T, Bank of America, Wells Fargo, Credit Suisse, Intel, Vodafone, TSA, Audi, Novartis, Deutsche Post, DHL, Visa Strategic Partnerships IBM, BEA, Attachmate, Oracle, FAST, EMC/Documentum Products Kapow Mashup Server 6.3 - 8 years in making, mature, proven, highly scalable, enterprise-ready platform build and share data API’s and feeds for mashups
  4. 4. Evolution of Web Applications into Mashups Source: Rod Smith, IBM
  5. 5. Data – The Emerging Productivity Driver Productivity gains through task automation has peaked Next productivity wave will be data-oriented, not task-oriented Web 2.0 Technologies key to unlocking productibity Workforce Job Types – Developed Countries reduction = productivity high variability 20% 40% 40% Transactional: Tacit: Transformational: Routine Complex interactions Extraction and interactions (decision making, conversion of raw (standardized, collaboration, materials invariable tasks) knowledge consumption) Source: McKINSEY & COMPANY
  6. 6. Systematic vs Opportunistic IT Projects Systematic Projects Opportunistic Projects for Conservative Reliability for Competitive Agility Individual, Departmental, Company Wide, IT- Data Centric, Do-it-yourself, Controlled, Task Centric, Web based, Collaborative, Scalable, High Volume, Ajax, RIA, Portlets, High Security, Nonstop Mashups
  7. 7. Mashups -You’re Probably Already Doing It… Spreadsheets Composite Applications Data Migration Gadgets Social Software Management Dashboards Ad Hoc Reporting Content Aggregation
  8. 8. The components of a Mashup Presentation layer Mashup Builders Logic layer Mashup Infrastructure Data layer Fundamental Value-add data data
  9. 9. The value of mashups are in combining data Housingmaps mash up google maps and craigslist Based on everyones data
  10. 10. Individualized data increase value 95 97 98 96 98 o School district ratings o Fault lines o Places of worship, LinkedIn/MySpace network, etc
  11. 11. Classes of Mashup Data Sources Structured data Fundamental Standard feeds data Subscribed data Open to everyone Unstructured data Value-add Individualized data data Vertical data Difficult to get-to data Differentiating data
  12. 12. Appetite for data collection is growing Most of the data organizations need to collect is presented in a browser – internet and intranet. Organizations use teams of people to collect and manually enter data into spreadsheets and databases. This process is very time consuming and prone to errors The demands of the business are outpacing people’s ability to scale properly with regard to manually collecting data. There is a growing trend around automation tools to help organizations with this issue.
  13. 13. It’s all in the browser There is a goldmine of information on the web: Worldwide interest rate data Energy Markets Real-estate listings Compliance announcements SEC filings Edgars information Corporate Actions Blogs, social media, communities matter on the web now Some companies are looking to create more meaningful time series from the web that can be “mashed up” quickly into applications (true R.A.D.) Others are looking to triangulate information for compliance reasons The Companies that can figure out how to mash up information most effectively will be the big winners in the next few years
  14. 14. The data challenges for Mashups Today Too few APIs and feeds exist to data APIs and data feeds difficult to create Existing data collection tools optimized for structured enterprise data sources Exponential growth of web data has created a huge source of valuable data Web 2.0 technologies further drives data generation The #1 obstacle to the benefit of value-add data is the lack of standard feeds or API’s
  15. 15. Kapow: Turning Data Into Business Value The right data, to the right people, Huge untapped at the right time productivity potential in knowledge workers Cost-effective delivery of productivity applications Assembled with little or no coding required Kapow Mashup Leverages investment in Server SOA services & infrastructure Deals with unstructured web data, which has no API’s
  16. 16. Customer Usage Patterns Reputation Competitive Asymmetric Business Opportunistic Web 2.0 Management Intelligence Intelligence Automation Applications Infrastructure “305MBA’s creating over 200 Firmfeeds each” Top Risk Top 5 Financial Management Firm Services $3B Global “10 Developers handling Fund than 500 feeds each” Hedge more “Once written, 1 person can maintain 5000 feeds” Delivery Partners
  17. 17. Demo time
  18. 18. Kapow Mashup Server Family Portal Content Edition Data Collection Edition Web 2.0 Edition Content Migration Edition
  19. 19. openkapow For mashup developers to build and share feeds Supports latest Web 2.0 services: RSS, ATOM, REST Supports mashup builders from Google, Yahoo, IBM, & BEA Increases awareness and familiarity with Kapow Provides proof of concept for SaaS offering
  20. 20. How Customers Use our product editions Portals Data Collection from the Web Job Boards Job Boards Company Company Pages Pages Online Online Classifieds Classifieds Kapow powers DHL / Deutsche Kapow helps Simply Hired aggregate Post’s enterprise portal content from over 1000 sources “Swivel chair” automation Content Conversion Projects Content Content Mgmt Mgmt Legacy Legacy Apps Apps CIS CIS Kapow automates content migration process Kapow automates integration of middle into Intel’s customer information system office reconciliation at JP Morgan Chase
  21. 21. Take aways Next business productivity wave will be data and know-how automation, not routine task automation The knowledge workers needs self-service mashup technology to take advantage of this Access to critical data can create a competitive edge Web 2.0 technologies complements existing IT systems to create the competitive edge
  22. 22. The Business Value of Enterprise Mashups Joe Keller, CMO Kapow Technologies, Inc November 2007