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A tounge-in-cheek, yet insightful, article from John Myers in which he refers to Analytics as the "Soft Drugs of Business"
The gray area that has emerged is the class of “soft-drugs” known as analytical business intelligence. To the quants in the organization, analytical applications are viewed as free choice that provides enlightenment to the user and benefit to the organization to “see outside the box” of existing standard operational and financial reports. The business stakeholders or quants fight for the freedom of the analytical applications since they usually provide greater value over the existing IT-sponsored operational or financial reports. To the data governance organization, analytical applications are viewed as something that should be controlled and regulated since they could lead to the “destruction of the youth of the company”
Well worth reading the whole thing.
I've got an article up at MyCustomer.com which reviews some of the interesting pieces available to organizations who want to compete on analytics:
Because of the importance being placed on analytics, it’s no wonder that the noise from technology vendors can be deafening. The sheer volume of players can complicate the technology selection process and mask the best practices around building and deploying analytics in the enterprise. 'Pervasive analytics', 'prescriptive analytics', 'predictive analytics' and 'business analytics', all have the same stated benefits, so what makes them different? To make the right selection, it's important to understand the various technology options available and be able to separate the wheat from the chaff when it comes to how vendors market themselves.Instead of focusing on marketing terminology, more light may be shed by breaking down the categories of vendors vying for the analytics pole position. These categories include statistics vendors, vertical application vendors, business intelligence (BI) vendors and visual analytics vendors. In the end, most organisations will likely find that some combination of these approaches will be optimal, as no single approach can solve all needs.
Because of the importance being placed on analytics, it’s no wonder that the noise from technology vendors can be deafening. The sheer volume of players can complicate the technology selection process and mask the best practices around building and deploying analytics in the enterprise. 'Pervasive analytics', 'prescriptive analytics', 'predictive analytics' and 'business analytics', all have the same stated benefits, so what makes them different? To make the right selection, it's important to understand the various technology options available and be able to separate the wheat from the chaff when it comes to how vendors market themselves.
You can read the rest here.
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