Key Performance Indicator Measurement Slice and Dice 
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. 4) Businesses aren’t measuring the right indicators.
Occam's Razor
APRIL 19, 2010
"What is the difference between a metric and a key performance indicator (KPI)?" Key Performance Indicators. The post will end with a Web Analytics Measurement Framework. It is possible that some Analytics Tool Goals directly measure your business objectives or goals. Dimensions.
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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.
datapine
FEBRUARY 4, 2020
Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. 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.
Occam's Razor
JANUARY 12, 2015
A very special type of metric is designated to be a Key Performance Indicator (KPI). Helpful post: You Are What You Measure, So Choose Your KPIs (Incentives) Wisely! ]. As we develop more sophistication to our measurement, they'll morph from being attributes of a Visitor to those of a Person. Definition?
Jet Global
DECEMBER 2, 2019
Departments and individual people tend to vary how they treat metrics, key performance indicators (KPIs), and the source/location of the data they pull. OLAP cubes do all the work by dimensionalizing all combinations of slicing and dicing the data ahead of time.
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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