Introduction Calculating transaction frequency for a given dimension is a common requirement across many verticals. e.g. Average Time Between Purchases by a Customer. Average Time between support tickets etc. While this can be calculated in SQL it ca...
The point of this article is to provide a method to a value associated with the most recent data in a date selection. Implementation Step 1: in the Elasticube, create a field transforming the date field into an integer using the formula below. Then r...
Analytical Need Customer's fiscal year does not comply with the Georgian 12-month calendar and starts on a different date than January 1st. Example: Customer’s fiscal year is from April 1st to March 31. This means that April should be flagged as the ...
Analytical Need Market Basket Analysis is a data mining technique that is widely used to identify consumer patterns, such as which items are purchased together, or how the purchase of one item affects the likelihood of another item being purchased. O...
A relationship between tables specifies the field/s which the 2 tables have in common. In Sisense, we create relationships between tables in the ElastiCube. Poorly modeled data relationships can lead to one or more of the following: Complex data sets...
Analytical Need Analyzing information by date can be very useful, but not every source data set provides enough information to do this kind of analysis. Modeling Challenge We will need to import a date table, which will act as a reference for all tim...
As Sisense currently supports daily data, in the following article we will demonstrate how to include time in Sisense Web widgets that is present in DateTime fields. In order to display time format along with date we would Represent DateTime field as...
What is UAT? After the dashboard is completely developed and has been approved in QA tests, the final stage, before releasing a dashboard, will be to request a key end-user to perform User Acceptance Test. The approval of the dashboard will give the ...
Based on the business requirements summary you've created in the previous step, you can now design the high-level overview of your BI Solution. This step aims to translate the business strategy into operational terms and associate it with the require...
The Business requirements gathering step aims to identify the end-users' key business requirements and KPI's to build customized dashboards that meet their needs. Well-defined requirements are the foundation for a clear, comprehensible dashboard, tha...
Introduction This article demonstrates how to avoid counting weekends and holidays when calculating the difference between two dates. Example - Average Shipping Time in Business Days Steps In order to ‘subtract’ two dates and avoid counting the weeke...
Introduction In this post we'll learn how to create a drill down hierarchy for Days-->Hours-->Minutes-->Seconds. A general quick solution, in case you need the drill mostly for pivot table visualizations, would be to use the ElastiCube to model addit...
In the past, the Postgres vs. MongoDB debate looked like this: you had Postgres on one side, able to handle SQL (and later NoSQL) data, but not JSON. On the other, you had purpose-built database management systems (DBMS) — like MongoDB, which was des...
The promise of Postgres JSON JSON support is the most interesting new Postgres feature of the last few years. It relaxes the primary constraint of SQL databases — the rigid schema structure — by letting you store semi-structured data in your tables a...
