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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

We had a look at the way in which cloud computing transformed itself through some astonishing innovations in the past decade. We also differentiated cloud adoption from cloud washing. Cloud resources are plenty and they keep multiplying over time. Cloud is now the backbone of digital transformation.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Cloud technology and innovation drives data-driven decision making culture in any organization. It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022.

IBM cost 130
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Optimizing Your IT Budget While Running a Data-Centric Company

Smart Data Collective

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. 1 Equip Your Employees with the Right Data Analytics Tools.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 3

BizAcuity

Previous blogs covered cloud innovations and cloud adoption. Now, to cloud solutions. Popular Cloud Computing Solutions. Cloud solution is a broad topic. Cloud infrastructure, as discussed in the previous blog, is quite vast. Public Cloud Infrastructure. Private Cloud Infrastructure.

IBM cost 130
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Invisible Analytics Help Teams Make Smarter Decisions

Sisense

But generations of technological innovation (better data visualizations, cloud analytics, and self-service tools) plus the rise of analytics-focused cultures in workplaces have failed to deliver on the many promises analytics hold; analytics adoption among in-house workforces remains stalled at around 30%.

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What is a Continuous Delivery Pipeline and Why is it Needed in Agile?

Agilemania

The CD pipeline is an agile and sustainable technique to produce software, similar to how a minimum viable product lowers risks and helps teams create something that better suits the demands of consumers. Companies attempt to deploy features as quickly as possible to stay competitive in the present market. CI/CD Description.

Agile 98
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

1) What Is Data Quality Management? 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. 10) Data Quality Solutions: Key Attributes.