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Replacing Legacy. Part 5: Cloud, SaaS Legacy, and AI

Analysts Corner

It is less practical and not about business analysis work on such projects. Even if you succeed with the initial implementation, there might be a question further about how to replace a SaaS vendor. And IBM seems to be a leader in leveraging AI to modernize legacy systems. And this is where AI can flourish.

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Interesting statistics around big data, data analysis, and usage

Analysts Corner

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Food for thought and the way ahead!

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What Would an Agile Human Resources Department Do?

Vitality Chicago

I remember hiring on at IBM in 1985 and needing a blue suit and red tie. I wore a suit to work every day at IBM, even though I was not in a customer-facing role. Other examples include time reporting, vacation time, and expense reporting. It is implemented in different ways. We can certainly dictate a dress code.

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Understanding Data Warehousing Concepts for Business Analysts

Business Analysis Knowledge Share

Cloud Data Warehouses Cloud-based Data Warehouses, such as Amazon Redshift, Google BigQuery, and Snowflake, provide scalability, flexibility, and cost-efficiency. Data Warehousing Best Practices for Business Analysts To harness the full potential of Data Warehousing, Business Analysts should follow best practices: 1.

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10 Best Data Analyst Certifications In 2022

The BAWorld

With a data analytics certification, you can boost your marketability and learn valuable skills in a fraction of the time and cost of a degree program. The position necessitates a lot of data analysis, along with communicating the findings. . Exam Cost : $165 USD per exam. Exam Cost : $295 USD. Exam Cost : $300 USD.

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Bridge the Gap Between Reporting and Data Visualization in Power BI

Insight Software

The skills needed to create a data warehouse are currently in short supply, leading to long lead times, high costs, and unnecessary risks. With Jet you can define business logic centrally rather than reimplementing it in every dashboard. This allows you to implement re-usable business logic (e.g.,