We would like to extend a special welcome to subscribers of Datasource Consulting newsletter! Below, you'll find an excerpt from "2012 Industry Review from the trenches" by Steve Davidson and David Crolene. This article was published in the December issue 2012 TDWI FlashPoint.
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Dine with Steve and David Crolene, Datasource Consulting
Every year, we reflect the business intelligence (BI) and industry (DI) data integration and provide an overview of trends worth noting we encounter in the trenches. Our review emanates from five sources: customers, industry conferences, articles, social media and BI software vendors. This year has proven to be an interesting one on many fronts. Here are our observations for 2012 and our expectations about 2013.
1. BI experience Programs
As we reported in 2011, a larger number of existing BI programs are continuing to mature beyond managed reporting, ad hoc query, dashboards and OLAP. Companies are increasingly trying to derive more value from their data by using technologies and features such as:
These features all require significant computing power, and as a result we saw a corresponding increase in technologies such as analytical databases and analytical applications. We see this trend continue in 2013 and beyond.
2. more attention was placed on operational BI
In recent years, we have seen an increased focus on operational BI. As programs mature, BI business this is a natural evolution. There is considerable value in using BI to support and improve operations within a company, but companies that have managed to do this must realize that operational BI is a different class of data. Operational BI requires low-latency data generally, greater selectivity and a greater amount of query concurrency than traditional analytic workloads. These factors often require a different architecture than the one that was designed for the data warehouse.
In addition, system support may need to be done differently. If a load on a traditional data warehouse fails, it is often acceptable to deal with it in a few hours, not minutes. For operational BI, 24/7 support you need a thicker model because it can load failures immediately impact the bottom line.
We see the trend toward low-latency BI and analytics continue as organizations to broaden their focus from enterprise data warehouse enterprise data management.
3. BI wanted to be agile
We have always recognized the high cost of and time for, the implementation of BI, but customers have finally said "enough" and BI teams are listening. Departmental solutions and new offerings of software as a service (SaaS) BI enables companies to go ahead without it, putting even more pressure on TWO programs to provide faster results. Businesses are looking for new ways to implement BI and are finding that many agile practices (iterations focused, small, daily Scrum meetings; representatives of enterprises incorporated; prototyping; and integrated test) help accelerate BI projects and strengthen communication between business users and IT. Certain technologies are helping also influence this shift. Data virtualization, for example, allows a "prototype and then build" capabilities and does not require physicalizing all data necessary for the analysis. However, agile was created for software development, BI and not early adopters are learning that there are many differences. For example, tools to automate software code testing are much more numerous and mature respect for warehouses and ETL data mapping.
We expect to see BI practitioners continue to refine what agile principles are effective with BI and the ones that don't translate as well. We expect to see an increase in technologies, such as the analytical software, desktop data virtualization and validation of automated tests with data.
4. the momentum shifted "in memory"
With the rise of 64-bit architectures and the decreasing cost of storage, we detected a change of momentum from in-memory database applications (i.e. with the data warehouse appliances). Have you seen the past several years ...
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Steve Dine is managing partner of Datasource Consulting, LLC. Has extensive hands-on experience delivering and managing successful solutions, highly scalable and maintainable data integration and business intelligence. Steve is a member of the faculty at TDWI and a judge for the TDWI Best Practices Awards. Follow Steve on Twitter: @steve_dine.
David Crolene is a partner of Datasource Consulting, LLC. With 15 + years of experience in business intelligence and data integration, David worked for two major BI vendors, managed data warehouse for a giant electronics and consulted on a wide range of industries and technologies.
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