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Do You Have the Data Connector Blues?

Avatar photo Emerson Scherer Aug 17, 2023
Being Data-Driven Data Management Data Warehousing

Are you struggling with connecting problematic data sources to your data warehouse? Don’t worry, you’re not alone, and it’s a common frustration data professionals mention when speaking with us about our managed data warehouse solution. At Panoply, we’re here to…

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Get NetSuite Insights Without the Roadblocks

Avatar photo Panoply Jul 26, 2023
Data Management

With more than 36,000 organizations as customers and a number one ranking for both billing software and cloud ERP tools, NetSuite helps businesses streamline and automate their processes, manage accounting, and run their operations more effectively. It’s a major player…

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AI or not AI? This is the question.

Avatar photo Alon Brody Jul 10, 2023
Data Warehousing

AI gives us great capabilities to learn and work faster. We’ve all experienced, or heard about, hundreds of success stories where AI tools not only sped up business processes or individual work output, but even solved previously “stuck” problems. Just…

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New and Improved Data Engine Architecture

Avatar photo Vladimir Platonov Jun 28, 2023
Data Warehousing

At Panoply, we aim to be transparent with our customers and partners by frequently updating you on new features within the product that help you get your data faster. On top of these user-focused updates, our team is also continuously developing…

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The Benefits of an All-in-One Data Platform

Avatar photo Allison Foster Jun 13, 2023
Data Stack

When setting up their data stack, businesses across industries have an important decision to make: whether to adopt an all-in-one data platform or rely on separate vendors for ELT, data warehousing, and BI/visualizations. Using different vendors can allow a company…

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The Importance of Data Ownership

Avatar photo Ryan Hsu Jun 6, 2023
Best Practices Data Management

As Google transitions from Universal Analytics (UA) to Google Analytics 4 (GA4) on July 1, data ownership becomes a top concern for anyone using their platform. While it’s essential to ensure that historical data from Universal Analytics can be preserved…

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Warehouse Your UA Data Without Missing a Beat

Avatar photo Allison Foster Sep 29, 2026
Data Warehousing

Google’s Universal Analytics (UA) will sunset on July 1st, and if you haven’t exported your historical UA data yet, it’s probably your top priority for June. You might have seen Google’s not-at-all ominous countdown for extra motivation:If you were hoping…

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Power BI Best Practices

Avatar photo Noah Edis May 4, 2023
BI and Data Visualization

Power BI is a business analytics tool that packs a punch, revolutionizing the way companies analyze their data. It is a cloud-based business intelligence platform that provides a suite of tools for data visualization, reporting, and analysis. Power BI has…

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Why Shouldn’t You Have a Single Source of Truth?

Avatar photo Allison Foster Apr 1, 2023
Data Warehousing

Everyone’s talking about the benefits of a single source of truth for business data. They say a centralized hub helps you reduce manual tasks, get clearer insights for better decision-making, and increase productivity. However:Don’t the businesses not looking for those benefits…

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Top 7 Marketing Dashboard KPIs

Avatar photo Noah Edis Mar 23, 2023
Being Data-Driven

Marketers have long relied on legacy methods like spreadsheets and manual effort to track their key performance indicators (KPIs). But today, with the rise of digital marketing dashboards, organizations can quickly and easily monitor their progress in one place. A marketing…

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5 Steps of the ETL Process

Avatar photo Alon Brody Mar 10, 2023
ETL and ELT

In data analytics, ETL describes the process of extracting, transforming, and loading data to make it ready to use for a predefined task. Note that ELT (extract, load, transform) is its own distinct process, but today we’ll focus on ETL.…

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BigQuery Data Types Guide: A Comprehensive Guide

Avatar photo Ifeanyi Benedict Iheagwara Sep 29, 2026
BigQuery

How computers and applications interact with data (inputs and outputs) depends on their data types. A data type is a classification that governs how compilers and virtually all programming languages collect, store, and interpret data to define events properly. Thus,…

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