Datameer Blog

Tag: Agile Analytics

The Five Key Principles of Agile Business Intelligence

Since the introduction of Agile in 2007, agile practices have been widely adopted in software development projects worldwide. A less popularly known fact is that agile meth...

  • Ndz Anthony
  • April 3, 2023

Visual SQL for Analytics Engineers

Are you a data engineer, a data analyst, or better, an analytics engineer?… Then this article will be invaluable to you. This article will explore the concept of SQL ...

  • Ndz Anthony
  • December 27, 2022

Ad-hoc Analytics Requiring 100+ Lines of Complex SQL? No-code Tools to the Rescue

When repeatable reports are produced, SQL is used to combine the data into the right data model, and the query is continuously reused when the report is generated.  Hence, ...

  • John Morrell
  • August 7, 2022
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How to Create an Agile Analytics Process: RIP, Star Schema

Having the proper data modeling and transformation tools will help you create an agile, modern analytics process. This post was originally published on TWDI, Transforming D...

  • TDWI
  • January 24, 2022
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How a Separate Data Transformation Tool Accelerates Your Analytics

Data engineers and analysts have a multitude of options as to how they can transform their data.  They could: Extract, Transform, then Load (ETL) Extract, Load, then Transf...

  • John Morrell
  • December 21, 2021

Why Datameer? Demand for Data Engineering Outstrips Supply

Today’s digital business world is not linear and smooth.  It is full of changes, disruptions, and new challenges.  And these all come at you very fast.  You may not see man...

  • John Morrell
  • December 3, 2021

Shrinking the Analytics Cycle

Even with modern self-service analytics tools, it still takes on average a week to produce new analytics results, driving many organizations to discover ways of shrinking t...

  • John Morrell
  • May 13, 2020
Data Analysts: Different Skills, Similar Process

Data Analysts: Different Skills, Similar Process

The week of a data analyst can vary widely depending on the size of the firm and their unique combination of skills.  Despite their differences, every analyst will tell you...

  • Adam Wealand
  • April 24, 2019
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Agile Data Preparation & Exploration for Cloud Machine Learning

AI and Machine Learning have the ability to transform the world as we know it. Many Fortune 500 CEOs feel the same—81% of respondents in a recent survey said that AI and Ma...

  • John Morrell
  • March 20, 2019
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DataOps: New Term, Similar Concepts

Componentization, containers and the cloud have all converged to usher in a new era focused on “Ops.” It started with DevOps, which according to Wikipedia is defined as:

  • John Morrell
  • June 21, 2018
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Data Challenges for New Age Analytics in Retail

Having spent some time in the retail business, specifically apparel, and at a company that focused on helping e-retailers, I have an appreciation for the challenges these o...

  • John Morrell
  • April 11, 2018
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5 Ways to Fuel Your Big Data Analytics in 2018

Big data is really “the little engine that could.” While this may seem like an oxymoron, allow me to explain. When broken down, big data is really just a collection of seem...

  • John Morrell
  • March 5, 2018