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A beginner’s guide to start a career in Business Analytics

Analysts Corner

Some of the most common applications of business analytics include market research, financial analysis, supply chain management, and customer relationship management. You can do this by attending conferences and networking with other professionals in the field, or by reading industry publications and blogs.

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15 Supply Chain Metrics & KPIs You Need For A Successful Business

Data Pine

Try our modern logistics analytics software for 14 days, completely free! Try our modern logistics analytics software for 14 days, completely free! Especially when it comes to cost optimization, there should be not much room for ignoring the financial analysis as it can cause serious damages to the bottom line.

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All You Need to Know About Data Aggregation

Astera

This blog offers an in-depth look at data aggregation to help you understand what it is, how it works, and how it benefits your business when done right. This aggregation type is preferable to conduct trend or pattern analysis over time. Understanding Data Aggregation What is Data Aggregation?

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Why Do You Need To Visualize Your Accounting Reports?

Data Pine

The more accurate the records, the better the financial analysis or projection. In general, a well-implemented accounting reporting system makes it easier to access the financial statements you need, whenever you need them. appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

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OLTP and OLAP: Two Sides of the Same Data Coin?

Astera

In this blog, we will explore the differences between the OLTP and OLAP systems and how they are used in various industries. Supply Chain Management Systems: These systems enable businesses to manage their supply chain operations, including procurement, inventory management, and logistics. What is OLTP? What is OLAP?

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How to Start a Business Analyst Career?

The BAWorld

Typically, entry-level business analysts are expected to hold a bachelor’s degree in related fields such as business administration, computer science, accounting, financial analysis, enterprise architecture, data science, information systems, operations management, logistics, or human resources.

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A Complete Guide to Data Analytics

Astera

Example : A logistics company uses prescriptive analytics to optimize delivery routes and schedules based on traffic, weather conditions, and customer location data to ensure the fastest delivery times.