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Business Intelligence: All content tagged as Business Intelligence in NoSQL databases and polyglot persistence

Business Intelligence for Big Data: What Is Missing?

Eric Rogge:

Still, even with improving connections between BI and unstructured data stores, the challenge with today’s business intelligence deployments is that they only enable quantitative analysis of a fraction of an enterprises’ information assets. That’s because the majority of information available to an enterprise is unstructured content held in documents, e-mail messages, collaboration forums, and on the Web. Enterprises now realize that to have a complete, 360-degree view of their operations, they need to analyze that unstructured data. That analysis involves both qualitative assessments as well as quantitative analytics. The challenge of BI isn’t storing the unstructured data; it is the significant back-end development work needed to gather and quantify unstructured information sources.

Missing from an enterprise’s portfolio of BI tools are search and semantic processing technology, which can efficiently process unstructured data into gists and metrics, plus handle large volumes of data from widely dispersed sources.

No further than yesterday, I was writing on two separate posts that:

  1. the value of BigData resides both in its volume and the possibilities to enhance it with metadata and link it with other data sets
  2. bringing together both structure and unstructure data is the future

Original title and link: Business Intelligence for Big Data: What Is Missing? (NoSQL database©myNoSQL)


Big Data Has a Secret

Nicholas Goodman’s (LucidDB) sharp vision about Business Intelligence on Big Data:

It’s just a bunch of technology that propeller heads (I am one myself) sling code with that crunch data to get data into custom built reporting type applications. Unlike SQL databases, they’re NOT ACCESSIBLE to analysts, and reporting tools for easy report authoring and for businesses to quickly and easily write reports.

Until businesses get to ACTUALLY USE Big Data systems (and not via proxy built IT applications) it’s value to the business will be minimal. When businesses get to use Big Data systems directly; there will be dramatic benefit to the business in terms of timeliness, decision making, and insights.

A must read.

Original title and link: Big Data Has a Secret (NoSQL database©myNoSQL)


SQL Access to CouchDB Views

Nicholas Goodman:

[…] enabling SQL Access to CouchDB Views […] single, biggest advantage is: The ability to connect, run of the mill, commodity BI tools to your big data system.

While the video below doesn’t show a PRPT it does show Pentaho doing Ad Hoc, drag and drop reporting on top of CouchDB with LucidDB in the middle, providing the connectivity and FULL SQL access to CouchDB. Once again, the overview:

CouchDB LucidDB pentaho

Being able to bring together both structured and unstructured data—it doesn’t really matter if it is BigData or not—, query it with a language that is familiar to many developers and that had tons of tools available represents the future of polyglot persistence.

Original title and link: SQL Access to CouchDB Views : Easy Reporting | Goodman on BI (NoSQL database©myNoSQL)


Big Money for Companies That Can Analyze Big Data

three skills necessary for data-driven start-ups: data munging, the corralling and wrestling of data; modeling, the statistical analysis of data through algorithms; and visualization, the presentation of all the data. While all three are necessary for success, Driscoll believes that modeling and analysis through algorithms is what will determine winners and losers in Big Data.

Most of us know these under the names data mining and business intelligence.

“The secret sauce is predictive analysis powered by data,” said Driscoll. “It’s less about what you did and more about what you should do, and not even telling you what you should do … it should just do it for you.”

Sure thing. Everyone wants to predict stock market evolution, next football game score, etc.

What you actually need big data and data mining for is:

  • tracing, identifying, and understanding/explaining past events
  • modeling and validating future strategies

Original title and link: Big Money for Companies That Can Analyze Big Data (NoSQL databases © myNoSQL)