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Decades (at least) of businessanalytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? Let’s define what these are.
The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional businessanalytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.
Though you may encounter the terms “data science” and “dataanalytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, dataanalytics is the act of examining datasets to extract value and find answers to specific questions.
These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data. How to Spot a Flawed DataStrategy. Data Visualisation. Statistics & Data Science. Data Science Challenges – It’s Deja Vu all over again!
Data Controls. Data Curation (contributor: Tenny Thomas Soman ). Data Democratisation. Data Dictionary. Data Engineering. Data Ethics. Data Integrity. Data Lineage. Data Platform. DataStrategy. Data Wrangling (contributor: Tenny Thomas Soman ).
See also: Data Visualisation according to a Four-year-old. Some authorities describe them as any diagram using a map to display statisticaldata; I cover this type of general chart in Map Charts below. Especially for all BusinessAnalytics professionals out there. Business logic [My adaptation]. Cartograms.
For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all businessanalytics consumers, Excel.
If you stick to web analytics your title might tap out at one of the titles mentioned above (say Sr. If you really want to have your Job Title grow a lot more then you'll have to gradually move to the world of BusinessAnalytics (not web) and Business Intelligence roles in IT. 2| Business Individual Contributor.
Applied analyticsBusinessanalytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a businessanalytics portfolio of actionable insights which directly affect and improve business processes. Data pipelines. BusinessAnalytics.
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