2022 Blog Data Quality Visualization 
Analysts Corner
MARCH 9, 2023
Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. When I google the phrase “Excel is dead” , as of today, Jan. 3, 2023, I get 45.2 million results.
ElegantJ BI
SEPTEMBER 1, 2021
Small and medium sized businesses (SMEs) often find it difficult to balance the day-to-day need for data with the cost of employing data scientists or professional analysts to help with forecasting, analysis, data preparation and other complex analytical tasks.
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ElegantJ BI
SEPTEMBER 1, 2021
Small and medium sized businesses (SMEs) often find it difficult to balance the day-to-day need for data with the cost of employing data scientists or professional analysts to help with forecasting, analysis, data preparation and other complex analytical tasks.
Astera
OCTOBER 19, 2023
Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. Despite intensive regulations, data breaches continue to result in significant financial losses for organizations every year. According to IBM research , in 2022, organizations lost an average of $4.35
Astera
JANUARY 9, 2023
In 2022, Google Cloud was disrupted for two hours , affecting Spotify, Discord, Snapchat, and several other applications. Moreover, you should have complete data visibility to carry out a meaningful analysis. Data Quality. Most cloud providers promise 99.9% In October 2021, Azure Cloud went down for around six hours.
Domo
MARCH 12, 2021
And telecom companies Telefonica and Singtel sell data-insight analysis of their network traffic and call-record data. Gartner predicts that by 2022, 35% of organizations will buy or sell data. However, it’s not as simple as exporting data and selling it. Improve data quality. Collaborate with peers.
Astera
OCTOBER 16, 2023
Enterprises transfer vast amounts of important business data during migrations—data that’s scattered across disparate systems—and they cannot afford downtime or data loss. That’s why they opt for data migration tools that automate the process and ensure that complete, high-quality data reaches the target destination.
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