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Self-service key to BI success

Self-service key to BI success

The most successful business intelligence (BI) programs are significantly more likely to place analysis and decision-making solutions in the hands of business users. 
According to a survey by Qlik in association with Forbes Insights, nearly two-thirds of respondents believe that self-service data analysis creates significant competitive advantage, and half of respondents believe such an approach can help to reveal valuable insights.
The study, which surveyed more than 400 senior IT and business professionals, confirms that organisations are embracing self-service environments where users can take control of their own analytics, modelling, visualisation, and decision-making.
In fact, more than half of respondents cited that their BI environment features a significant or very significant degree of self-service elements.
At the same time, IT departments and business unit heads alike are concerned about data governance issues impacting everything from data security to its completeness and veracity.
Nearly 20% of respondents cited that the most challenging issue to enabling self-service access is the difficulty in combining data from different sources.
Another key challenge is ensuring data security, cited by 145 of respondents.
According to respondents, for a self-service model to be successful, there needs to be an effective data governance model – one that not only preserves data security and integrity, but also gives users confidence that their analysis works with complete and accurate data sets.
“Gathering and mining more and more data will not lead to better decisions,” says Frank Kozurek, head of business intelligence at National Express. “True BI means empowering business users with tools and governance that will allow them to explore their own data using the insights that only they possess as a result of being so close to their business needs.  They can get whatever data they want, they can interact with it, play with it.  BI that isn’t fundamentally self-service driven is not intelligence at all.”
Additional key findings include:
* Self-service solutions, data visualisation software give BI a new look: 54% of respondents say improving data visualisation is a strategic imperative; 40% agree self-service data analysis models create a significant competitive advantage; and 53% believe distributed, self-service enables end users to develop more visually compelling analysis. In terms of how value is created within a self-service BI framework, overall respondents most frequently cite improvements in activities such as identifying business opportunities (69%), optimised or dynamic pricing (65 %), or gauging productivity (63%).
* Data literacy is today’s must-have skill: Future directives include enabling business units to interact with more forms of corporate and external data, expanding training for executives, as well as providing greater mobile and cloud access to needed data streams. 54% of the respondents say they are pursuing the creation of a centre of excellence to improve their self-service data performance. Nearly three in four respondents say they are, today, directing their IT departments to work more closely with business units to expand access to more forms of corporate and external data. Another 62% agree that line managers need to take significant steps to become more data literate.
* Drivers in the shift toward a more self-service BI environment: According to the survey, in about a quarter of instances, senior management plays the lead role in creating a more self-service environment. But for most respondents, 64% overall, some combination of senior management alongside an organic, bottom-up set of initiatives is what leads to adoption. As to where value is being created today, the most frequently cited functions include finance (67%), sales (61%), marketing (60%), and compliance (60%).