Category: "Open Source"

Open Source BI

We [Clarise and I] met with Bernard Golden, The CEO of Navica, again. One of the topics of conversation brought together our work in Business Intelligence and Open Source. Bernard's background includes Informix and our's includes Oracle :) [No rivalry though] All three of us have worked on large system integration projects requiring strict data modeling and centered around the RDBMS, ETL, EAI, OLTP and OLAP tools selected to best meet the business needs. Clarise and I have worked with Jetstream [ETL & EAI], Mondrian with JPivot [OLAP].

One of the most important aspects of a BI project is the implementing the business process and best practices for the users. Determining what that really means is key to the success of such projects. Do the current business processes implement best practices for that industry, giving the organization a competitive edge, but needing better implementation from IT? Are the best practices implemented in a COTS BI suite better than the organization's current business processes? This is at the heart of most "build versus buy" decisions.

And this is one advantage that open source packages may have over buying a proprietary solution that implements the vendor's version of BI best practices for a given industry or vertical. Open Source can be more cost effectively customized to implement those processes and practices that your organization views as giving a competitive advantage.

By the way, Bernard gave us a copy of his book, Succeeding with Open SourceBook Cover Image for Succedding with Open Source.

Coffee with Bernard

We (Clarise and Joseph) met with Bernard Golden, the CEO of Navica.

Bernard Golden CEO Navica

Bernard spoke at a recent Leadership Forum on Opportunities in Open Source, where we first met him. He read my blog article about the forum, and invited us to meet with him, to continue the discussion over coffee at the Uptown Cafe in San Carlos, CA. Bernard is the creator of the Open Source Maturity Model, which is used to determine the desirability and risk associated with using a specific open source product. Our discussion was an extension of the Leadership Forum, and lasted over two-and-an-half hours. We probably could have turned a tape of our discussion into five wiki(Podcasting,podcasts). &#59;) What follows is a very brief summary of what we discussed.

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The TeleInterActive Lifestyle is about the business processes, life choices, management challenges and technical issues facing organizations and individuals as individuals and organizations adopt the Internet of Things, Mixed Reality, wireless networks of all levels, mobile devices, long-distance collaboration, social networks, digital transformation, and adjust to growing urbanization.

Sensor Analytics Ecosystems for the Internet of Things (SAEIoT) brings value from emerging technologies through data management and analytics, advances in data science, as the IoT matures through the 5Cs: Connection, Communication, Contextualization, Collaboration and Cognition. The socialization of machines will allow for Privacy, Transparency, Security and Convenience to be flexibly provided with two-way accountability to build Trust among Humans and Machines.

AsDataArchon, we have evolved our consulting data scientist work from learning how to incorporate sensor analytics into data warehouses, business intelligence and analytics to focusing on IoT data management and forming sensor analytics ecosystems.

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Our current thinking on sensor analytics ecosystems (SAE) bringing together critical solution spaces best addressed by Internet of Things (IoT) and advances in Data Management and Analytics (DMA) is here.

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