delivering-better-dashboards-with-analytic-quality-assurance Blog Related Topics 
DataKitchen
APRIL 18, 2024
In this blog, we peel back the curtain to share the philosophy, journey, and, most importantly, the why behind this significant move. The most effortless way to institute comprehensive, agile data quality testing is to derive actionable information, start testing and measuring immediately, and then iterate, using tests and results to refine.
DataKitchen
NOVEMBER 4, 2021
The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The bottom line is how to attain analytic agility? Right now, this is a 90% commercial pharma analytics problem and 10% an IT problem.”.
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DataKitchen
SEPTEMBER 20, 2021
We call this approach “ Lean DataOps ” because it delivers the highest return of DataOps benefits for any given level of investment. Lean DataOps delivers “ bang for the buck” by prioritizing activities that will most impact the productivity of the individual or team. Production DataOps delivers a significant return on investment.
DataKitchen
AUGUST 13, 2021
Pharmaceutical companies are finding that DataOps delivers these benefits. Figure 2: Different teams choose different tools when implementing self-service analytics. Another R&D team in California builds their analytics on an Azure cloud platform using other tools like Databricks and other very large databases.
datapine
FEBRUARY 18, 2020
To ensure the best possible performance and financial health of a company, conducting regular financial analytics and ensuring the highest quality of data management must be the top priorities of companies no matter the size. As humans, we respond to, and process visual data better than anything else.
Sisense
MAY 13, 2021
Despite analytics software being widely available for decades, adoption rates across organizations (even high-tech ones) are still abysmally low. Understanding the difference: Reports vs. analytic application. DNV is an independent expert in risk management and assurance, operating in more than 100 countries.
Sisense
MAY 12, 2019
They are breaking down the silos, communicating better, and making the company more efficient as a result. For us, as an analytical company, the word “efficiency” is what sparks our interest. And it’s called DevOps analytics. DevOps analytics is the analysis of machine data to find insights that can be acted upon.
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