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Moving your business from disparate data sources and ad hoc reporting to a single source of truth data warehouse solution is a sign of growth in the right direction.
Being Data-Driven
10 Questions to Help Define a Successful Data Warehouse Strategy
The buzzwords “big data” have been around for a few years. Simply put, it refers to extremely large amounts of information. As this data grows in quantity, variety, and ...
Data Management
Data Management Best Practices and How They Help Your Team
Using insights generated from company data is essential when making business decisions. Having reliable data enables a company to make strategic decisions to optimize ...
Data Stack
Top 6 Power BI Benefits For Your Business
With the launch of our new 21-day Free Proof of Value, new users have plenty of time to begin seeing the value that Panoply adds as a part of their tech stack. In order ...
Panoply News
Proof of Value Onboarding Checklist
Earlier this year we partnered with Square to tackle a common problem: how can Square sellers unlock more robust reporting, without hiring a full data team? While we ...
Analyzing Square Data with Panoply: No Code Required
Data flows like never before, and with so much at our disposal, making the best use of it is a challenge. Many businesses use Google Sheets for everything from content ...
Data Warehousing
6 Use Cases for Connecting Google Sheets to Panoply
A recent IDC DataSphere forecast report predicts that the compound annual growth rate of global data creation and replication will reach 23% between 2020 and 2025.
Data Warehousing
10 Benefits and Use Cases for A Data Warehouse
Sometimes, the only thing standing between an analyst and a catastrophic management decision could be knowing the difference between the tables:
Data Warehousing
Data Warehouse Naming Conventions Guide
This article will cover how to work with time series/datetime data in Redshift.
Learning SQL
Manipulating Time Series Data with SQL in Redshift
Data is the lifeline of any modern organization. At any point, every day, you work on molding data points into information to derive profits. Therefore, having the right ...
ETL and SQL: The Dynamic Data Duo & Examples
Panoply News
Panoply has joined the SQream data family!
The enterprise data warehouse (EDW) is a fairly new entrant into the universe of databases mainly optimized for reading operations. By structuring data in a rigid ...
Data Warehousing
What Does a Modern Data Warehouse Do?
Data analytics can mean a lot of things. Sometimes you’re delivering relevant metrics to analysis experts; other times, you’re identifying which tools, resources, and ...
Data Analysis
The Pros and Cons of Open-source Software in Data Analytics
One of the significant challenges in handling data comes from the massive amount of data your organization is most likely generating constantly. Having the ability to ...
Data Warehousing
Data Warehouse Design: The Good, the Bad, the Ugly
Even the most potent database is still prone to the terrifying error any database system can face: query bottlenecks.
Data Warehousing
Redshift Query Queues: The Complete Guide
Google Cloud Platform has long been the cloud provider of choice for web analytics, with the impressive BigQuery being Google's massively parallel processing (MPP) ...
Data Warehousing
BigQuery Data Types Examined & Explained
Data visualization is defined as the graphical representation of information and data. Using visual elements like charts, graphs, and maps helps audiences to see and ...
Being Data-Driven
History of Data Visualization: Pivotal Moments Analysts Can Learn From
At some point, you will begin to recognize that there is more potential in your data than just charts and dashboards.
5 Best Reverse ETL Tools & Their Alternatives
The goal of this article is to present an unbiased view and play-by-play breakdown of how much it would cost tobuild and manage your own ETL pipeline and data warehouse ...
Being Data-Driven
Build or Buy? Panoply vs. Self-Managed Solution (By the Numbers)
A data warehouse aims to make sense of a specific subject over time by analyzing historical data. This system, also called the decision-making support system, can tackle ...
Data Warehousing
Incremental Loading: The Smarter Way to Update Data
Did you know that data collection is one of the most time-consuming steps in the process of data science? But it's definitely not as terrifying as data cleaning.
Being Data-Driven
Complete Guide to Data Collection for Data Science: Step-by-Step
Google Ads is Google's platform for digital business advertisement. If you're new to Google Ads analysis, you'll need to understand the kind of data on the platform.
Data Analysis
The Analyst's Guide to Google Ads & Successful Ad Spends
A data dictionary defines all the critical metrics and terms your business uses. It's a simple idea that dramatically impacts how effectively your business can use its ...
Being Data-Driven
5 Ways to Create a Data Dictionary + (Free Template!)
Power BI increases its adoption among the most experienced users each day. Thanks to being a user-friendly tool with various data sources to connect to, it helps analyze ...
How To Analyze PostgreSQL Data in Power BI
The world has changed; companies now use hybrid and multi-cloud environments to store their data. You probably do too. Gone are the days where you had to build a data ...
Being Data-Driven
Data Orchestration Guide & Directed Acyclic Graphs (DAG) Examples

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