Amazon Redshift is a fully managed, petabyte-scale data warehouse. With that, running complex queries can be taxing against your data warehouse. Get best practices and queries on how to optimize Amazon Redshift performance.
In this edition of Off the Charts, we spoke with Lukas Biewald of CrowdFlower. Read our interview with Lukas as we discuss the importance of training data and the evolution of Artificial Intelligence.
If you have yet invest in an end-to-end cloud-based data stack, this white paper will be core to your evaluation process. For more insight, download our white paper The Guide to Building an End-to-End Data Stack.
In this Off the Charts, a series where we chat with individuals doing industry-changing work in the data space, we spoke with Jake Stein, Yaniv Leven and Dave Fowler about the current state and future of data technologies.
This post will take you through the most common issues Amazon Redshift users come across, and will give you advice on how to address each of those issues in relation to performance.
A Sales Opportunities dashboard visualizes your CRM and marketing data as opportunities as they move through the sales pipeline and funnel. In this blog post, learn how to create a dashboard to track sales opportunities.
Before you can sync your Salesforce data with a data warehouse, you need to realize one thing: you need an ETL tool. In this blog post, we'll break down everything you need to know about evaluating an ETL tool.
As companies make numerous decisions a day, you cannot afford to make decisions solely on intuition alone. Learn how to create a Sales dashboard that provides performance insights and measures key results and growth indicators.
There is more information about you in a database than you can possibly fathom, or probably care to know. Current estimates for the amount of data created in the year 2020 is 1.7 megabytes per human being on Earth, per second.
Centralized or Decentralized Analytics, it's entirely up to you to implement the right one for your company. This blog post will provide examples and best practices on how either can work for your organization.
In this blog post by Kostas Pardalis, co-Founder of Blendo, he'll cover the top KPIs for Mailchimp and provide a guide to implementing each one into your own Chartio dashboards with full SQL queries. Get the SQL queries.
With more people having access to, creating and analyzing data, it’s changed the way businesses manage their data. Learn how important data governance is to your growing organization and how to implement a strategy today.
A web analytics dashboard visualizes your web data and monitors your site performance by tracking critical metrics. In this blog post, get a breakdown on which metrics to track and how to create your own dashboard in Chartio.
There are four stages of data analytics for every company. From KPI pulls to Data Heroes to Centralized to Decentralized, there's a flavor of analytics for every company to drive actions and insights from their data. Read more.
Growth Marketing is never static. Growth Marketing focuses on impacting the entire funnel and is instrumental in growing the business as a whole. Continue reading to learn Growth Marketing strategies and tips from Sean Ellis.
Not everyone has the easiest time building or maintaining it great data hygiene. Ben Perlmutter explains the importance of good data hygiene and highlight key methodologies that will help you build and maintain it.
There's no silver bullet to growth. Sustainable growth isn’t a new problem, but it’s still one of the biggest challenges anyone in the business of startups faces. Get best practices from Sean Ellis, Jack Mardack and Riaan Ahmed.
In this blog post, we'll share insights on how Data Scientists approach and solve the perpetual problem of prioritizing data requests from their organization. Continue to learn how to effectively prioritize your data requests.
With increased competition and daily operations, Good Food Guys is leveraging data to learn about their customers and make informed decisions. Watch the video to learn how they are serving up data to get real-time insights.
Cohort analysis is useful, for every department across your organization, because it examines the cohort over a period of time and delivers unique insights. Learn how marketers can apply cohort analysis as part of their strategy.