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Benefits of Open Source Analytics

Lakshman Bulusu

From the open skies since the beginning of time to the NEW and NEXT-GEN open-source paradigm involving people–processes–pragmatics–practices NOW, open has become infinite—and yet it remains as finite in its ability as getting the globe in the palm of my hand while at the same time enabling me to travel back and forth, in varying degrees of function, form, and fastness. The sometimes- fast, sometimes-just-fast-enough, sometimes-too-fast, and sometimes-fasterthan- I-can-think skewing and shearing dynamics of the currently trending and future-enabled open source technologies are the game-changers in information delivery—what I term as the OPEN SOURCE PERFECT: from OPEN-NESS to OPEN-SENSE and BEYOND, yielding a "What-I-get-is-what- I-want" solution, nothing more and nothing less, at any time and as of any point in time, thus producing, preserving, and providing currency of the desired information.

The key benefits of such a solution from a customer-centric point of view are as follows:

  • Anytime, anywhere, by anyone (A-A-A) accessibility and availability, all authentic and authorized
  • The right information for the right purpose to the right people at the right time (R-R-R-R)
  • Uncompromising on the business basics of affordability, flexibility, reliability, stability, scalability, and efficiency
  • Business assurance in terms of a single frame of reference for operational continuity, agility, and customer assurance

An open source solution is the secret sauce behind the appraisal, analyses, architecture, adoption, and adaption of such a solution, one that is at least sufficiently best-fit for meeting the demanding needs of current- day superior customer experience in the unpredictably complex web of business revolution and competitiveness. The key differentiator is the loosely coupled architecture that open source methodologies support, which can be easily and transparently extended to support a loosely coupled business model if needed.

Open source gains precedence when it comes to the simplicity and convenience involved in terms of being a unified and universally available, flexible, and scalable on-demand solution that is at the same time compliance- ready, implementation-ready, deployment-ready, and customer-awarenessready. The business performance indicators from such a solution are as clearly visible from the preview of the solution implementation as the need for such indicators to drive business performance:

  • Content and context convergence in instance, constancy, and consistence— on-premise to online to on-the-go (mobile) to out-ofpremise (in the cloud)
  • Dynamic analytics by way of metrics generation through automation
  • As open source moves mainstream, business moves to business-onthe- go (or business-on-the-fly, to be precise). This seemingly slight shift in the business model has enormous potential to transform the business–IT–customer–social landscape of such a solution point north of the center so that:
    • The business accelerates in terms of improvement to involvement.
    • The business–IT forecast looks all CLOUD-y (irrespective of climate change!), starting from cloud bursting to crowd sourcing.
    • The business–social relationship gets wiser than business-asusual, as data becomes intelligent to information-in-action.
    • The business network communicates and collaborates to become business competition, from inside-the-net in the real world through the Internet to the social net, resulting in competitive business processes.
    • Business services (including business solutions and support and operations solutions and support) evolve into business–social services, thereby granting them tenure—and business assurance— through the customer lifecycle of the business.
    • Businesses can leverage the so-called "gold" mines of intelligent information (as more and more data mining becomes practical) in unimaginably fast, actionable, synchronized, transparent and social ways, wherein users across all touchpoints can become involved interactively in a 360-degree variance to feed and feedback their (business) input. This self-serviceable input can then be auto-rewired as ‘intelligent business rules" via the tenor of self-adaptability of the open source BI solution in near real time.

With all these pros come the cons, too. Business security tends to become increasingly insecure. The streams of "intelligent information" transcend the enterprise boundaries into multiple endpoints and clouds, in all their sensitivity and identity, and converge into the social enterprise; their security gets social too—and ensuring the social security of the same demands opens multiple channels for what is termed social engineering, from ethical hackers to ethical blockers and beyond—wherein the acts of hacking, phishing, VISHING, and threats become alarmingly ethical!

An open source solution can drastically minimize the impact of the risk while it also improves the remediation of the same through its ability to automate, accelerate, and reduce the time to recovery in easy, elastic, duplication- less, and dynamic architectural virtualization and execution capabilities. The faster the time to insight, the faster the time to recovery—and the lesser the risk of disaster and the minimal the time spent in disaster recovery mode.

Read more IT Performance Improvement

This article is an excerpt from:

Highlighting the key differences between open source and vendor DW and BI technologies, the book identifies end-to-end solutions that are scalable, high performance, and stable. It illustrates the practical aspects of implementing and using open source DW and BI technologies to supply you with valuable on-the-project experience that can help you improve implementation and productivity. Emphasizing analysis, design, and programming, the text explains best-fit solutions as well as how to maximize ROI. Coverage includes data warehouse design, real-time processing, data integration, presentation services, and real-time reporting. With a focus on real-world applications, the author devotes an entire section to powerful implementation best practices that can help you build customer confidence while saving valuable time, effort, and resources.

About the Author

Lakshman Bulusu is a 20-year veteran of the IT industry with specialized expertise and academic experience in the management, supervision, mentoring, review, architectural design, and development of database, data warehousing, and business intelligence-related application development projects encompassing major industry domains such as pharmaceutical/healthcare, telecommunications, news/media, global investment and retail banking, insurance, and retail for clients across the United States, Europe, and Asia. He is well-versed in the primary Oracle technologies through Oracle11g, including SQL, PL/SQL, and SQL-embedded programming, as well as design and development of Web applications that are cross-platform and open source-based.