Occam's Razor
APRIL 19, 2010
"What is the difference between a metric and a key performance indicator (KPI)?" Key Performance Indicators. Key Performance Indicator: Key performance indicators (KPI's) are metrics. " "What is a dimension in analytics?" Dimensions.
Occam's Razor
JULY 15, 2014
You need access to data, the ability to analyze (slice, dice, drill-up, drill-down, drill-around) interesting data points that your performance throws up, ability to understand what caused the performance (often by understanding who did, what and where in other parts of the organization), and the power to make decisions.
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datapine
MAY 21, 2019
Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data. Consult with key stakeholders, including IT, finance, marketing, sales, and operations. Ineffective dashboards can be easily updated to focus on business needs.
Occam's Razor
JANUARY 12, 2015
A very special type of metric is designated to be a Key Performance Indicator (KPI). You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! Percentage that other thing. Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. You need to drill!
datapine
FEBRUARY 4, 2020
Using the right marketing KPIs (key performance indicators) is a good start – what is now left is finding a way to organize it all in a way that makes sense and brings value. These reports are slicing, dicing, and analyzing data, while connects the dots between your marketing activities and the goals originally set.
Occam's Razor
SEPTEMBER 21, 2015
Very often at Analysts and Researchers we are so into the data, slicing and dicing it, and in trying to get something decent out of that work, that we fail to actually see the data. Even if the fonts and numbers were larger, it is extremely difficult to compare the slices (despite three big shifts). See as in really look at it.
Occam's Razor
JANUARY 31, 2017
Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? We throw off a lot of data as a subtle way of earning a great job performance review. What you want to do instead is to do all the slicing, dicing, segmentation, beautiful math, and then step above it.
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