Insights
Verstand staff are constantly learning and share that knowledge amongst colleagues, clients and the general public. Our latest insights reflect work with toolsets, data and special research interests where data analysis is necessary to get to solutions.
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02
Aug
Pairing Subject Matter Expertise With Machine Learning To Beat Controlled Substance Abuse
The Controlled Substance Solutions (CSS) platform is a window into controlled substance dispensing activity that enables compliance analysts to gain even more insight f...
27
Jul
Data Saves Lives: Controlled Substance Compliance
It is difficult to understate the challenges posed by the opioid crisis gripping the United States. While countless whitepapers, internal reports, and news articles hav...
09
Mar
Stop Wasting Time with Vanity Reports and Create Actionable Insights
Many companies are implementing self-service reporting for the variety of benefits discussed in our previous article “Analyze, Pivot or Die: 4 Reasons Why Every Company...
24
Feb
Custom Web-App Features, Half the Price
Decision Point: Web-App or Not...
As developers, a question we often hear from clients—and are then tasked with an...
21
Feb
Environmental, Social and Governance Investing: A Data Dilemma for Investors and Corporations
When it comes to interesting data use cases, few would disagree that the notion of Environmental, Social and Governance (ESG) data has its special challenges. While the...
16
Feb
Extend Your Company’s Life: Clean Your Data!
In the previous article, "'Healthy' Data: A Must for BI Reporting", we explained the importance of data quality in business intelligence reporting, as well as the conce...
09
Feb
“Healthy” Data: A Must for BI Reporting
Modern business intelligence (BI) platforms have made report building look and feel easy. Analysts can practically take any piece of data available today and analyze it...
02
Feb
Analyze, Pivot or Die: 4 Reasons Why Every Company Needs Self-Service Reporting
One of the current trends in business intelligence (especially within the current challenging macroeconomic environment) is the increasing demand for self-service repor...
19
Oct
Implementing the advanced incremental refresh on big datasets- Part 3
To give you a quick recap, we have so far implemented the incremental refresh on the data model, configured the parameter values, and published the data model successfu...
19
Oct
incremental Refresh design for big datasets – Part 2
In the previous article, we discussed the thought process behind choosing the right data model design based on the use-case and requirements we received from the client...
14
Oct
Solving The Big Data Problem in BI: using advanced incremental refresh- part 1
We live in a world where businesses across various industries manage an enormous amount of information. Every single transaction, interaction, and data point is r...
13
Oct
Creating Dynamic Measures in Looker
In my previous article, Creating a “Dynamic Dimension in Looker”, I walked you through creating dynamic dimensions in Looker. Now we have the inverse situation. In this...