5-pain-points-moving-data-to-cloud Blog Related Topics 
Alation
JULY 13, 2021
The race to the cloud is on! Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. They also need to plan for pain — and how to avoid it — to guarantee success.
datapine
SEPTEMBER 29, 2022
1) What Is Data Quality Management? 3) The 5 Pillars of DQM. 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.
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datapine
FEBRUARY 22, 2022
Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.
datapine
OCTOBER 29, 2021
Businesses have been analyzing their performance for decades through traditional written reports, but with the amount of data being produced every day, the need for more frequent reporting is growing. Let’s kick it off with the definition. Your Chance: Want to build great weekly status reports on your own? What Is A Weekly Report?
Domino Data Lab
APRIL 29, 2021
Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. If we can crack the nut of enabling a wider workforce to build AI solutions, we can start to realize the promise of data science. Let’s start with the themes.
Occam's Razor
JANUARY 30, 2012
When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Ravaging data.
Sisense
OCTOBER 16, 2019
These would include whichever executives, managers or analytical users who will actually be looking at the data on a regular basis. A Three-Step Guide for BI Professionals. The good news is, an efficient business analyst can get it done in a day or two. Remember: The process should always start with the business and serve the business.
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