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A Case Study: Superstore Sales & Profit Report Using Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Power BI In today’s data-driven age, a large amount of data gets generated daily from various sources such as supply chain and logistics, emails and multi-media, e-commerce websites, healthcare, transaction processing systems, etc.

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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. It was also a lot of churning for the different groups to come up with those data on the weekly, monthly and quarterly basis.” But where to begin? “We That’s the first level of a cultural shift.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

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

datapine

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.

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Anti-Spoofing is Crucial for Data-Driven Businesses

Smart Data Collective

Big data technology has unquestionably been a gamechanger for businesses. Data-driven businesses are 58% more likely to meet revenue goals than companies that do not use big data. However, there is a dark side to using big data technology. Spoofing is more likely to be a problem for data-driven organizations.

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Data and Analytics Hype Cycles for 2020 Just Published!

Andrew White

Here is a reference to the range and breadth of data and analytics hype in the market. Hype Cycle for Enterprise Information Management, 2020 Hype around data and analytics continues at fever pitch, driven in part by increased demands related to COVID-19. Start by understanding how to use and read a hype cycle.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.