"A common misconception about BI standardization is the assumption that all users must use the same tool. It would be a mistake to pursue this strategy. Instead, successful BI companies use the right tool for the right user. For a senior executive, the right tool might be a dashboard. For a power user, it might be a business query tool. For a call center agent, it might be a custom application or a BI gadget embedded in an operational application."(Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"A key secret to making BI a killer application within your company is to provide a business intelligence environment that is flexible enough to adapt to a changing business environment at the pace of the business environment - fast and with frequent change." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"A key sign of successful business intelligence is the degree to which it impacts business performance." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Achieving a high level of data quality is hard and is affected significantly by organizational and ownership issues. In the short term, bandaging problems rather than addressing the root causes is often the path of least resistance." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Attracting the best people and keeping the BI team motivated is only possible when the importance of BI is recognized by senior management. When it’s not, the best BI people will leave." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Business intelligence tools can only present the facts. Removing biases and other errors in decision making are dynamics of company culture that affect how well business intelligence is used." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Communicate loudly and widely where there are data quality problems and the associated risks with deploying BI tools on top of bad data. Also advise the different stakeholders on what can be done to address data quality problems - systematically and organizationally. Complaining without providing recommendations fixes nothing." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Data quality is such an important issue, and yet one that is not well understood or that excites business users. It’s often perceived as being a problem for IT to handle when it’s not: it’s for the business to own and correct." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Depending on the extent of the data quality issues, be careful about where you deploy BI. Without a reasonable degree of confidence in the data quality, BI should be kept in the hands of knowledge workers and not extended to frontline workers and certainly not to customers and suppliers. Deploy BI in this limited fashion as data quality issues are gradually exposed, understood, and ultimately, addressed. Don’t wait for every last data quality issue to be resolved; if you do, you will never deliver any BI capabilities, business users will never see the problem, and quality will never improve." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Even if you have previously tried to engage tech-wary users and were met with a lackluster response, try again. Technical and information literacy is evolutionary. BI tools have gotten significantly easier to use with more interface options to suit diverse user requirements, even for users with less affinity for information technology." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Knowledge workers and BI experts must continually evaluate the reports, dashboards, alerts, and other mechanisms for disseminating factual information to ensure the design facilitates insight." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"I would argue that every BI deployment needs an OLAP component; not only is it necessary to facilitate analysis, but also it can significantly reduce the number of reports either IT developers or business users have to create." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"If you give users with low data literacy access to a business query tool and they create incorrect queries because they didn’t understand the different ways revenue could be calculated, the BI tool will be perceived as delivering bad data." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Successful BI companies start with a vision - whether it’s to improve air travel, improve patient care, or drive synergies. The business sees an opportunity to exploit the data to fulfill a broader vision. The detail requirements are not precisely known. Creativity and exploration are necessary ingredients to unlock these business opportunities and fulfill those visions." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"Successful business intelligence is influenced by both technical aspects and organizational aspects. In general, companies rate organizational aspects (such as executive level sponsorship) as having a higher impact on success than technical aspects. And yet, even if you do everything right from an organizational perspective, if you don’t have high quality, relevant data, your BI initiative will fail." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"The data architecture is the most important technical aspect of your business intelligence initiative. Fail to build an information architecture that is flexible, with consistent, timely, quality data, and your BI initiative will fail. Business users will not trust the information, no matter how powerful and pretty the BI tools. However, sometimes it takes displaying that messy data to get business users to understand the importance of data quality and to take ownership of a problem that extends beyond business intelligence, to the source systems and to the organizational structures that govern a company’s data." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"The frustration and divide between the business and IT has ramifications far beyond business intelligence. Yet given the distinct aspect of this technology, lack of partnership has a more profound effect in BI’s success. As both sides blame one another, a key secret to reducing blame and increasing understanding is to recognize how these two sides are different." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"The problem is when biases and inaccurate data also get filtered into the gut. In this case, the gut-feel decision making should be supported with objective data, or errors in decision making may occur." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
"There is one crucial aspect of extending the reach of business intelligence that has nothing to do with technology and that is Relevance. Understanding what information someone needs to do a job or to complete a task is what makes business intelligence relevant to that person. Much of business intelligence thus far has been relevant to power users and senior managers but not to front/line workers, customers, and suppliers." (Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008)
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