With the harsh reality that 80% of corporate BI project failBI user adoption should be one of the main drivers in your BI strategy. It is important to not just have the right tools but the right talent and processes to ensure maximum return on your BI investment. The main objective of a BI audit is to develop a detailed recommendation of a BI strategy, architecture, roadmap and an overall alignment to your business objectives. 

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Why not five days? Or thirty days? What is so magical about the number ten? Well it boils down to two work weeks, a third of a month and we could go on but to be honest we just like the sound of ten. It comes off as being manageable and will not require a long-term commitment but there is a catch. Ten days will most likely represent a cycle with each day or couple of days representing a phase but there is no limit to the number of iterations for the cycle. You may need to repeat the cycle, say three times for example resulting in a total of thirty days, but this is dependent on your business objectives and your data.

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What if your Facebook friends and professional contacts on LinkedIn were used to determine your credit worthiness for that new car loan or mortgage you applied for? Hopefully your friends are wealthy or at least keep current on their payments with no defaults or fraudulent activities. In a 2013 article from the economist.com, they showed examples of companies using social media to assess potential clients and their LinkedIn contacts were the gold standard in determining “character and capacity” to repay.

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Today let us talk about the elephant in the room, and no not the cute little yellow Hadoop elephant if that is what you were thinking. We are talking about one of the reasons why 80% of corporate BI projects fail. “We will have the reports ready in three to six months, we just need to load the data warehouse and then we can report on what happened yesterday.”

Have you heard that before?  

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As privacy concerns increase amidst the rise of big data and internet of things and companies continue to collect more data on their customers and begin to paint a picture of their lives; privacy is a major concern as we ask “how much is too much?” 

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Tim: Can you do a report to show sales for our LED TV?

Jane: Sure. I think we should look at the stores and locations of the sales as well.

Tim: Not a bad idea…

Jane: and maybe we can look into the demographic details of the customer. Find out who they are? Their age group…income and so on

Tim: Wow, you are really passionate about this huh? You seemed a little emotional just now. Where is Bob? Can he just get me this quickly with no fancy details?

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