Business Intelligence Blog from arcplan
11Apr/120

Collaborative BI: Today & Tomorrow

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Collaboration is becoming an increasingly important facet of our business interactions. For years, research groups like Gartner , Ventana Research and the Aberdeen Group have provided insight and predictions about this phenomenon, and today we’re seeing how collaboration within the business intelligence space has moved from knowledge sharing and self-service BI to a whole new level of innovative decision-making for the business team. So let’s take a look at some of the shifting points of view about Collaborative BI and where it’s headed in the future.

Web 2.0 technologies and the social media boom have had a tremendous impact on what business users expect out of their business applications, especially in the collaborative space. Collaborating does not simply mean exchanging emails, making calls or holding meetings to facilitate decision-making (though they are the most-used ways according to Wayne Eckerson’s Collaborative BI report). These days, Twitter, LinkedIn, Facebook and YouTube have taught us how to share, rate, like, comment on, and especially make use of user-generated, helpful information. In our work lives, business users have learned to embrace information from various data sources – both formal and informal – as well as perform ad-hoc analyses without help from IT and share this information with colleagues. Collaborative BI as it exists presently is about facilitating the innate desire of business users to collect and share the information necessary for their everyday decision-making, while at the same time preventing duplicate work and allowing colleagues to draw on each other’s strengths. Users have an expectation that social media concepts will be available to them in their business environment, and so many Collaborative BI systems, like our own arcplan Engage, incorporate rating, tagging, etc.

However, we’re seeing a shift in how analysts define Collaborative BI and they are now calling for an even higher level of engagement.

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2Feb/120

Collaboration – the Future of Decision Making?

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Perhaps every generation says this at least once, but I believe we’re in the midst of a very interesting time. The world is getting more social everyday with Facebook, Twitter, and LinkedIn, where we can find old friends, colleagues and even relatives online with a single click. We may even find new people to follow through social media tools’ recommendations and can form relationships online and offline with them. Hundreds of millions of users are making decisions online all the time – who to follow, what content seems interesting, what topics to promote.

Our social media feeds make it obvious who to engage with about a particular topic – a friend may post frequently about sports and you can go to him with thoughts or questions – but that type of insight is not widely available at the place where we spent most of our time: work. We lack intelligence when it comes to the enterprise decision making process. It follows that we should apply the same principles of social media in our corporate environments to identify which colleague can help us make decisions. Applying social media functions that allow users to rate, tag, and comment about corporate content is the answer. Enterprises gain insight into the most used reports and dashboards at the company, report authors get instant feedback and enhancement requests from users, and users gain from the existing expertise of colleagues.

This idea has led to a new category of business intelligence software that Gartner describes as Collaborative Decision Making (CDM) and Collaborative BI. Gartner considers such platforms an emerging trend to fill the gap in decision support for tactical and strategic decisions most often made by knowledge workers.

“By 2013, 15% of BI and analytic applications will combine BI, collaboration and social software in decision-making environments.” – Gartner Group

BI vendors are following this path, creating matching solutions that serve as an interface to your wealth of corporate data. Is the market ready to deploy these solutions?

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