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Using open source platforms for business intelligence : avoid pitfalls and maximize ROI /
Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and bu...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Waltham, MA :
Morgan Kaufmann,
2012.
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| Colección: | Morgan Kaufmann Series on Business Intelligence.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Wise, Lyndsay. | |
| 245 | 1 | 0 | |a Using open source platforms for business intelligence : |b avoid pitfalls and maximize ROI / |c Lyndsay Wise. |
| 260 | |a Waltham, MA : |b Morgan Kaufmann, |c 2012. | ||
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| 490 | 1 | |a The Morgan Kaufmann Series on Business Intelligence | |
| 520 | |a Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments. The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suite. A practical, step-by-step guide to implementing OS BI solutions that maximize ROIComprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperability. Case studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch. | ||
| 588 | 0 | |a Image from publisher's Web site; (ScienceDirect; viewed on Sept. 17, 2012). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |g Machine generated contents note: |g SECTION 1 |t INTRODUCTION AND MARKET OVERVIEW -- |g ch. 1 |t Introducing BI -- |t Why is there a need for this book? -- |t What to expect in this book -- |t introduction to BI -- |t components of business intelligence -- |g ch. 2 |t OS overview -- |t Why understanding OS matters -- |t historical look at the broader OS market -- |t general appeal of OS -- |t OS market specifically -- |t Personal thoughts about OS expansion -- |g ch. 3 |t convergence of OS and BI -- |t OSBI gaining popularity -- |t expansion of OS offerings and positioning -- |t unique fit of OSBI and its effects on the broader market landscape -- |t Breakdown of OSBI technology -- |t Data warehousing -- |t Analytics -- |t Reporting and dashboards -- |t Data integration -- |t Embedded analytics -- |t General considerations for organizations -- |g ch. 4 |t look at the OSBI market -- |t Introduction -- |t OSBI market -- a general overview -- |t look at a transitioning market -- |t Traditional OS communities -- |t Adopting OSBI -- |t Why OS? -- |t OSBI transition and the expansion of OSBI into BI -- |t OSBI within the OS market -- |t Where OSBI solutions will/should be in the future -- |t Implications for businesses -- |g SECTION 2 |t DEEPER LOOK AT OSBI -- |g ch. 5 |t increasing popularity of OS -- |t look at BI drivers -- |t Price comparability -- |t Features and functions -- |t Licensing models and the issues surrounding them -- |t Maintenance -- |t Extensibility -- |t Open technology and integration -- |t BI in the cloud and SaaS offerings -- |t Collaboration and social networks -- |t Putting it all together -- |g ch. 6 |t differences between general OS and commercial offerings -- |t Understanding different OS models -- |t Internal development -- |t Community collaboration -- |t OS as a consulting tool -- |t Looking at community and commercial OS models -- |t OSBI models -- |t Community -- truly free -- |t Free software with separate purchases -- |t Commercial offerings -- |t services approach -- |t Looking at the community/commercial focus in the broader market -- |t drivers of commercial OS for BI -- |t bottom line -- |g ch. 7 |t Business benefits and challenges of OS for BI -- |t How business and IT approach BI -- |t relationship between business and IT -- |t Are benefits and challenges different or similar for business and IT worldviews? -- |t look at OSBI benefits -- |t Quick deployment times -- |t Internal development efforts can better align with business goals -- |t Customization options -- |t Subscriptions -- |t OS framework -- |t Business benefits -- a wrap-up -- |t look at OSBI challenges -- |t Development efforts -- |t Long-term costs -- |t Business and IT collaboration and project sponsorship -- |t Scalability -- |t What all of this means for business justification -- |g SECTION 3 |t BI STRATEGIES FOR SUCCESS -- TYING IN OS ADOPTION WITH BI SUCCESS -- |g ch. 8 |t strategy behind BI adoption -- |t Adopting BI -- |t Goals of consolidating information across disparate data sources -- |t Better business visibility -- |t Mitigating risk -- |t Metrics/KPIs -- |t Acquisitions -- |t Competitive edge -- everybody else is doing it! -- |t Why these factors matter -- |t Why choose OS -- |t Already familiar with OS -- |t Want to get off the ground running (as McKnight says) -- |t Budgetary constraints -- |t Want to experiment with BI before committing -- |t Why go traditional -- |t Currently using proprietary software -- |t No Java expertise in-house -- |t Uncomfortable with the concept of OS -- |t Looking to expand -- |t Takeaways -- |g ch. 9 |t Implications for users -- |t practical guide to selecting OS -- |t Business factors of adoption -- |t Technical factors -- |t Considerations -- |t Price and maintenance breakdown -- |t Long-term costs -- |t IT development -- |t Business and technical requirements -- |t Checklist for software selection and implementation -- |g SECTION 4 |t JUSTIFYING OSBI PROJECTS -- |g ch. 10 |t Selling an OSBI project to the business -- |t closer look at ways of selling OSBI -- |t Community OSBI adoption -- |t Who benefits on the business side from using OSBI? -- |t What is involved in getting buy-in and in developing these offerings? -- |t Why should the business side of an organization consider community OS as an option? -- |t When is community OS BI appropriate? -- |t Commercial after community -- |t Who evaluates commercial OSBI? -- |t What benefits does switching from a free model to commercial OS provide to the business unit(s) involved? -- |t Why do organizations want to transition from one model to the other? -- |t When should organizations progress towards commercial OS? -- |t Commercial for the first time -- |t Who chooses commercial OS over traditional BI models? -- |t What are the benefits of OSBI for businesses not familiar with the model? -- |t How are the benefits of this model sold to the business? -- |t New to BI -- |t Who is new to BI? -- |t What are the options for companies starting out with BI for the first time? -- |t Why consider OS over traditional BI when new? -- |t BI expansion -- |t Who benefits from BI expansion through OS? -- |t What benefit does expansion provide? -- |t Why do organizations choose to expand with OS? -- |t Rip and replace -- |t Who decides to replace their BI offerings with something new? -- |t What do companies need to know about replacing solutions with OSBI offerings? -- |t Why does OSBI provide value that mature traditional BI platforms might not? -- |t What should a company's expectations be regarding a rip-and-replace model? -- |t Embedded applications -- |t Sorting out the different models and what it means to business units -- |t Why sell to the business -- |t Selling framework -- |t Why IT has to work with business units and why business units need to collaborate with one another -- |t bottom line for OSBI adoption in organizations -- |g ch. 11 |t Evaluating ROI and TCO -- |t Developing valid definitions of ROI and TCO -- |t Return on investment -- |t Total cost of ownership -- |t ROI and TCO similarities and differences -- |t Why ROI and TCO are important to software selection -- |t Developing an evaluation framework for your OSBI project -- |t Software costs -- |t Professional services or outside consulting -- |t Development efforts and time to deployment -- |t New hardware requirements -- |t More efficient processes -- time savings -- |t Maintenance costs -- |t Licensing fees -- |t Putting everything together -- |t What is time to value? -- |t look at long-term ROI and TCO -- |g ch. 12 |t Developing a cost-benefit analysis for OSBI: A practical look at ROI and TCO calculations -- |t General TCO/ROI models -- a look at what exists in the market -- |t Applying these models to ROI for OSBI -- |t Evaluating TCO for OSBI -- |t ROI and TCO calculations -- |t Looking at commercial versus community offerings -- |g SECTION 5 |t UNDERSTANDING THE TECHNOLOGY BEHIND BUSINESS VALUE -- |g ch. 13 |t look at technical considerations -- |t How do technical considerations help with the evaluation process? -- |t Evaluating the current IT infrastructure -- |t Technical differences between community and commercial -- |t New to OSBI -- |t OSBI expansion -- |t Integration with non-OS sources -- |t Implications of trends -- |t Looking at data integration -- |t Disparate data sources -- |t Internal structured data -- |t Internal unstructured/semistructured data -- |t External structured data -- |t External unstructured/semistructured data -- |t Social network data -- |t Database technologies and what the differences mean in terms of end-user delivery -- |t Takeaways -- |g ch. 14 |t Understanding integration and data preparation -- |t Looking at the components of BI -- |t Why organizations should consider complementary offerings -- |t Limited capabilities -- |t Long-term development and internal maintenance -- |t Integration -- |t Expansion -- |t Evaluating the current BI environment -- |t brief look at Hadoop -- |t Integrating OSBI with traditional offerings -- |t reality of the market -- |g ch. 15 |t Working within an OS environment -- |t Introduction to developers -- |t word about Java -- |t Development within a community OS environment -- |t Development within a commercial OS environment -- |t Comparing traditional software offerings and developer roles -- |t Awareness of future commercial OSBI focus -- |t Free software access without source code -- |t Support available to developers -- |t Community involvement and vendor differences -- |t Collaboration with other developers -- |t Participating in vendor software development -- |t Upgrades, bug fixes, and the list goes on -- |t Looking ahead at developer requirements -- |g ch. |
| 505 | 0 | 0 | |t 16 |t Required skillsets -- |t Technical skills -- |t Java Programming -- |t IT project management -- |t Network and database optimization -- |t Metrics and analytics development -- |t Data modeling -- |t Data integration -- |t Business skills -- |t Business requirements -- |t Business unit interrelationships -- |t Business sponsor -- |t Business rules expertise -- |t Navigating the political maze -- |t Tying it all together -- |g ch. 17 |t Technical benefits and challenges -- |t Expanding on the differences in technical versus business benefits and challenges -- |t look at the technical benefits of OSBI adoption -- |t Open standards and integration -- |t Hardware costs -- |t Customization potential -- |t Collaboration -- |t Community members -- |t What about commercial OS and free software trials? -- |t issue of support and proprietary limitations -- |t Weighing the benefits against the challenges -- |t Understanding technical challenges -- |t What types of challenges exist? -- |t Potential learning curves in relation to programming languages -- |t Addressing multiple developers within a single development environment -- |t Developing a strong data management structure -- |t Data integration and proprietary software -- |t Hardware and cost limitations -- |t Working with OS source code -- |t Transferring from traditional solutions to OS offerings -- |t real time to value -- |t Understanding the real benefits and challenges of software development. |
| 505 | 0 | 0 | |g Note continued: |g SECTION 6 |t TAKEAWAYS/RECOMMENDATIONS -- |g ch. 18 |t Getting started: A checklist for OSBI readiness -- |t Business considerations -- |t Technical considerations -- |t Putting all the pieces together -- |t Important OS factors -- |t Can do with or without -- |t General conclusion. |
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